Pith Number
pith:GDSTYUXC
pith:2025:GDSTYUXCPHMMYTFCJBHGQD6PD4
not attested
not anchored
not stored
refs pending
Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps
arxiv:2501.18712 v4 · 2025-01-30 · cs.LG · cs.CR
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GDSTYUXCPHMMYTFCJBHGQD6PD4}
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
· sign in to
claim
4
Citations
5
Replications
✓
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:10:48.537840Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30e53c52e279d8cc4ca2484e680fcf1f16df524a2ef5cd5b6a2a97ff58c112c0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GDSTYUXCPHMMYTFCJBHGQD6PD4 \
| 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: 30e53c52e279d8cc4ca2484e680fcf1f16df524a2ef5cd5b6a2a97ff58c112c0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ec1845b07754b538b6bc1039a964008772bac1b6b23b90d7203364a5e5d8706a",
"cross_cats_sorted": [
"cs.CR"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-01-30T19:15:41Z",
"title_canon_sha256": "bb7ead0b04e8eefad44b8991b263182fbd513cd6c9a3e4d504b8d3845c25a099"
},
"schema_version": "1.0",
"source": {
"id": "2501.18712",
"kind": "arxiv",
"version": 4
}
}