Pith Number
pith:BL52F7HQ
pith:2023:BL52F7HQEA3WD7J3MF4DVJEBCE
not attested
not anchored
not stored
refs pending
A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
arxiv:2304.11740 v1 · 2023-04-23 · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BL52F7HQEA3WD7J3MF4DVJEBCE}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T06:03:36.544738Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0afba2fcf0203761fd3b61783aa481112cd1f79b16219151f1728fca428cfc82
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BL52F7HQEA3WD7J3MF4DVJEBCE \
| 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: 0afba2fcf0203761fd3b61783aa481112cd1f79b16219151f1728fca428cfc82
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "568d2d5b6df55e87d4258008521f0eb8d44d13bf0217e0c705c9748535d4e981",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2023-04-23T20:11:40Z",
"title_canon_sha256": "0dad57a04f328e117ee45993085c6e72a987a6ff617010f30eada47b1ccf3a51"
},
"schema_version": "1.0",
"source": {
"id": "2304.11740",
"kind": "arxiv",
"version": 1
}
}