Pith Number
pith:EFC3SR46
pith:2026:EFC3SR46OR5D4Q3WJRHHIDCFXR
not attested
not anchored
not stored
refs pending
How Consistent Are LLM Agents? Measuring Behavioral Reproducibility in Multi-Step Tool-Calling Pipelines
arxiv:2605.28840 v1 · 2026-04-23 · cs.CL · cs.AI · cs.SE
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EFC3SR46OR5D4Q3WJRHHIDCFXR}
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 | 2026-05-29T00:04:13.683287Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2145b9479e747a3e43764c4e740c45bc4a9ea047be27a4dae2a8f5c22124a784
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EFC3SR46OR5D4Q3WJRHHIDCFXR \
| 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: 2145b9479e747a3e43764c4e740c45bc4a9ea047be27a4dae2a8f5c22124a784
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "22ed4c74be400d4e2d81ee475449bc9359008d753443be12c625f2682d1e7056",
"cross_cats_sorted": [
"cs.AI",
"cs.SE"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2026-04-23T16:06:03Z",
"title_canon_sha256": "35520d510e66fa68c2a77df2a29c6a7d41053c9a72f48054b520327f36eaca73"
},
"schema_version": "1.0",
"source": {
"id": "2605.28840",
"kind": "arxiv",
"version": 1
}
}