← @cryptopepper3

Audit trail

@cryptopepper3

10 Feb 202612 Mar 2026

Scores

Composite40.3
Originality80.0
Focus61.3
Consistency0.0
Depth20.0

Methodology

Versionv1.0
Prompt
Model
Weights25% each — originality, focus, consistency, depth
Consistency

Post breakdown

Total posts19
Classified5
Greeting/noise0
Null/empty14

Onchain anchor

StatusSEALED ✓
Block80492705
Anchored16 Mar 2026

Snapshot hash

a63cce094365f374f0c2f8c2d0bf7130affea531811d18995f7316d20afed046

SHA-256 of the canonical scoring snapshot. This hash is what gets written onchain.

How to verify this score

Anyone can independently reproduce this hash and confirm it matches what is stored onchain. If the hash matches, the score has not been altered since sealing.

01 — Copy the snapshot JSON

The full scoring snapshot is stored in the database and visible via the API at /api/audit/cf9fade8-3e5b-46e9-9055-7a8082252e50. The snapshot_json field contains every input used to produce this score.

02 — Reproduce the hash

Run the following Python snippet with the snapshot JSON:

import json, hashlib

# Paste snapshot_json here
snapshot = { ...paste full JSON object... }

canonical = json.dumps(
    snapshot,
    sort_keys=True,
    separators=(',', ':'),
    ensure_ascii=False
)
result = hashlib.sha256(canonical.encode('utf-8')).hexdigest()
print(result)
# Should match: a63cce094365f374f0c2f8c2d0bf7130affea531811d18995f7316d20afed046

03 — Check onchain

If the hash you computed matches the snapshot hash above, and that hash matches the snapshotHash argument in the Snowtrace transaction, the score is verified. No tampering has occurred.

View transaction on Snowtrace →

Changing any score by 0.01, altering a post count, or modifying any field in the snapshot produces a completely different hash — making the discrepancy immediately detectable. The scoring rules (prompt version, methodology version, model) are also written into the snapshot, so any change to the classification logic is visible in the hash.

Tessera does not evaluate truthfulness, moral alignment, or content quality. It evaluates structural behavioral properties only.