Pith Number
pith:KK6RC7ZZ
pith:2025:KK6RC7ZZOR6X4QPF5VYIRVVHME
not attested
not anchored
not stored
refs pending
Black box behavioural modelling: Predicting human activity schedules with a deep conditional generative approach
arxiv:2512.04223 v2 · 2025-12-03 · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{KK6RC7ZZOR6X4QPF5VYIRVVHME}
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 | 2026-07-24T01:24:05.236412Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
52bd117f39747d7e41e5ed7088d6a761141366315c13cc425dbe234f69c6c551
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/KK6RC7ZZOR6X4QPF5VYIRVVHME \
| 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: 52bd117f39747d7e41e5ed7088d6a761141366315c13cc425dbe234f69c6c551
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "37b39c57f108d9dbc7674c70a5d7468ac86ae9bf8086742336895808b3cd18d8",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.LG",
"submitted_at": "2025-12-03T19:44:19Z",
"title_canon_sha256": "9f6aca7eddf7a598e9ab7251e6da0085d726fd667727fba3ce122d600029c060"
},
"schema_version": "1.0",
"source": {
"id": "2512.04223",
"kind": "arxiv",
"version": 2
}
}