Pith Number
pith:AR7H3QIW
pith:2025:AR7H3QIWHBKM7EP6AEOFO22MEQ
not attested
not anchored
not stored
refs pending
Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis
arxiv:2509.05449 v1 · 2025-09-05 · cs.LG · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AR7H3QIWHBKM7EP6AEOFO22MEQ}
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
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 | 2026-07-05T12:05:47.833438Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
047e7dc1163854cf91fe011c576b4c243ae8a5057a950e1dee7f47c4c081f8cb
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AR7H3QIWHBKM7EP6AEOFO22MEQ \
| 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: 047e7dc1163854cf91fe011c576b4c243ae8a5057a950e1dee7f47c4c081f8cb
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "8e1cbf26fec0ca06c571597c2f30672ad60a2ae9eb27c3c83da8a0bf8e8d44f6",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-09-05T19:05:49Z",
"title_canon_sha256": "3737cf2189dc96eb2993f48f832e64c7f482b44edb38d6732e7e509508c7db80"
},
"schema_version": "1.0",
"source": {
"id": "2509.05449",
"kind": "arxiv",
"version": 1
}
}