Pith Number
pith:VQP7XGBH
pith:2025:VQP7XGBHURKUR64JGFFAMTGUBO
not attested
not anchored
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refs pending
A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows
arxiv:2507.13544 v1 · 2025-07-17 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VQP7XGBHURKUR64JGFFAMTGUBO}
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 | 2026-07-05T11:39:18.994336Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ac1ffb9827a45548fb89314a064cd40ba56fc2aaf0d0e40eceef280e6a1b735e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VQP7XGBHURKUR64JGFFAMTGUBO \
| 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: ac1ffb9827a45548fb89314a064cd40ba56fc2aaf0d0e40eceef280e6a1b735e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ab44ef301bdd0ff888f0325faca8a903ab67bd84e2cea59932253b00e64141ce",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CL",
"submitted_at": "2025-07-17T21:34:13Z",
"title_canon_sha256": "fade38fe409e586de6098b3ada9c09e635b501090677bfb7bf7942968edf0664"
},
"schema_version": "1.0",
"source": {
"id": "2507.13544",
"kind": "arxiv",
"version": 1
}
}