Pith Number
pith:65Z2O6G3
pith:2026:65Z2O6G37JX43SE4BREHIQUIJH
not attested
not anchored
not stored
refs pending
Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
arxiv:2607.09996 v1 · 2026-07-10 · cs.AI · cs.MA
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{65Z2O6G37JX43SE4BREHIQUIJH}
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 | 2026-07-14T00:18:46.765455Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f773a778dbfa6fcdc89c0c4874428849f6a9bf7a231bc2647c60ed3f33cfe58b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/65Z2O6G37JX43SE4BREHIQUIJH \
| 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: f773a778dbfa6fcdc89c0c4874428849f6a9bf7a231bc2647c60ed3f33cfe58b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "90a777b33f95eec7a54e63d9b19a04484f237b0a3958687ca2e64ce91d534b47",
"cross_cats_sorted": [
"cs.MA"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2026-07-10T21:45:16Z",
"title_canon_sha256": "e261932a7c1458e2e8706113804326d496124ca5d7a180fbb5392aa30ccfb709"
},
"schema_version": "1.0",
"source": {
"id": "2607.09996",
"kind": "arxiv",
"version": 1
}
}