BSC Audit Engine · research preview
Paste a claim or attach a file. This page combines it with the versioned BSC protocol for the language model you choose.
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0 characters. Page code does not transmit or intentionally persist this text; browser and operating-system features remain outside its control.
Small text files are embedded locally. PDFs, images, office files, and large files remain companion attachments; the packet records their names, sizes, and local SHA-256 when feasible.
Verifying the protocol before packet creation.
Local consistency inspection
Bring back a structured audit_return.json and the files it declares. The Desk checks strict JSON, version bindings, source and evidence references, fatal-gate projections, execution disclosures, and local SHA-256 matches.
Strict parsing rejects duplicate keys, trailing data, non-object JSON, and UTF-8 input above 8 MiB. Page code does not transmit or intentionally persist this text.
Loading a JSON file replaces the pasted return in this page. This page code does not upload it.
The Desk hashes up to 32 readable files locally, at most 64 MiB per file and 256 MiB total, then matches exact filenames and SHA-256 values. Larger or additional declared artifacts remain review-needed. Browser file paths are never collected.
Add a versioned audit return to begin.
Downloaded inspection JSON contains no attached file bytes, but may contain filenames, identifiers, and SHA-256 values. Hashes do not anonymize private material.
Twenty-second walkthrough
The demonstration highlights paste, choose depth, build, attach, and audit in sequence. All steps are also listed as static text.
Read before relying
The builder assembles instructions. The Return Desk performs local structural and hash-consistency checks. Neither runs the BSC Python checker, verifies citation meaning, authenticates evidence, executes theorem provers, or decides whether a scientific theory is true.
Do not upload secrets, identifying records, controlled information, or material you are not allowed to share. Prefer a local approved workflow for sensitive targets.