— Time ledger · signal field
particle density · brightness = loudnessMerkle Link analysis — one root for the file
every slice folds inward to a single sealChecks Forensic checks · multi-method authenticity
—Illustrative demonstrations of established audio-forensic methods, derived from this recording's own per-slice data. Real deployments add external references — a power-grid frequency archive for ENF, a trained anti-spoofing model for synthetic-voice detection. The Merkle hash-seal above remains the definitive integrity check.
Manifest Slice register
click a row to inspect| # | Time | Fingerprint | Loud. | Status |
|---|
Pass Provenance pass
held with the fileHeld with the file, not asserted by it. Only what you enter, plus what the audio itself measures.
Note What Attest does
From sound to seal
Attest reads the actual decoded samples of a recording, cuts them into slices along the timeline, and takes a SHA-256 fingerprint of each slice. The fingerprints are then linked two ways.
Re-cut one slice and its fingerprint changes. The manifest flags that slice, the running chain diverges from that point on, and the path from the slice up to the root turns over — the whole seal no longer matches. Nothing is guessed: every verdict is a fresh SHA-256 comparison against the sealed manifest.
Why slice-level and not one yes/no
A single verdict for a whole file answers only whether something changed. A per-slice manifest answers where — which seconds were re-cut, spliced or replaced, and which are still covered by the original seal. That is the difference between an alarm and a record.
Every sound carries its papers.