Pith Number
pith:HYD23LCY
pith:2023:HYD23LCYJTIFOXARSGNTZ3W7IF
not attested
not anchored
not stored
refs pending
Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes
arxiv:2305.12569 v4 · 2023-05-21 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HYD23LCYJTIFOXARSGNTZ3W7IF}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:02:21.296871Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
3e07adac584cd0575c11919b3ceedf41758b7a172716c4c814f23878433251de
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HYD23LCYJTIFOXARSGNTZ3W7IF \
| 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: 3e07adac584cd0575c11919b3ceedf41758b7a172716c4c814f23878433251de
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "654003428f71ec4b35373f089799846d9f4c965f3bf3b9282d2c1ec9779f9c73",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2023-05-21T21:13:10Z",
"title_canon_sha256": "17f4c747f02197e13e3105594a51c5bb36bcaf8c517ab0b0018858958f14873e"
},
"schema_version": "1.0",
"source": {
"id": "2305.12569",
"kind": "arxiv",
"version": 4
}
}