Pith Number
pith:BATXQZ7X
pith:2026:BATXQZ7XQFGLFQ66PE5M52DCUD
not attested
not anchored
not stored
refs pending
From Unfamiliar to Familiar: Detecting Pre-training Data via Gradient Deviations in Large Language Models
arxiv:2603.04828 v2 · 2026-03-05 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BATXQZ7XQFGLFQ66PE5M52DCUD}
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
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claim
4
Citations
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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 | 2026-06-02T01:03:44.627665Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
08277867f7814cb2c3de793acee862a0debc79a836179a59a46d6a84bf78d732
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BATXQZ7XQFGLFQ66PE5M52DCUD \
| 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: 08277867f7814cb2c3de793acee862a0debc79a836179a59a46d6a84bf78d732
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ad7e636f9c1ab5cd6b4e55a1a43cbfe81b8caf7115979b4070a8e897b23fd27e",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-03-05T05:21:51Z",
"title_canon_sha256": "28a6c8382b2eae2d58042c64a6a0fe35cb25751f3e6aa9ff250eff15f39d5b04"
},
"schema_version": "1.0",
"source": {
"id": "2603.04828",
"kind": "arxiv",
"version": 2
}
}