Pith Number
pith:RS4FH7HI
pith:2025:RS4FH7HIM4YGZCHEZLM3YVTNW5
not attested
not anchored
not stored
refs pending
Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework
arxiv:2507.16414 v1 · 2025-07-22 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{RS4FH7HIM4YGZCHEZLM3YVTNW5}
Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge
Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
Author claim
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claim
4
Citations
5
Replications
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Portable graph bundle live · download bundle · merged
state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same
current state with the deterministic merge algorithm.
Receipt and verification
| First computed | 2026-07-05T11:41:09.046140Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8cb853fce867306c88e4cad9bc566db774b3345ab829efb3cf8ec902c6fd14d5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RS4FH7HIM4YGZCHEZLM3YVTNW5 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8cb853fce867306c88e4cad9bc566db774b3345ab829efb3cf8ec902c6fd14d5
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "9c0e49263722c12de258a279650128c6511dc20f59784f847e502282764a3324",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-07-22T10:05:30Z",
"title_canon_sha256": "eb1c6ba440fdc9c2665e93b70f4458422395847f5c02e5c6eb53849fcebeaa3c"
},
"schema_version": "1.0",
"source": {
"id": "2507.16414",
"kind": "arxiv",
"version": 1
}
}