Pith Number
pith:ZVS2TXEE
pith:2020:ZVS2TXEEVAT37OKJKN4B734DHW
not attested
not anchored
not stored
refs pending
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction
arxiv:2012.12558 v1 · 2020-12-23 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{ZVS2TXEEVAT37OKJKN4B734DHW}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T02:01:37.546476Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd65a9dc84a827bfb94953781fef833d8264e27c4013f1dd00bdcc3a8c76529b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZVS2TXEEVAT37OKJKN4B734DHW \
| 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: cd65a9dc84a827bfb94953781fef833d8264e27c4013f1dd00bdcc3a8c76529b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4a5a66d4ceb93a95ae170fec867dc32d4a84b28680458d65af64c88b64abaf36",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2020-12-23T09:41:50Z",
"title_canon_sha256": "e365f56dbc7a16986c69dd9aed8d2dab8165b78fcd200306298baee987c82985"
},
"schema_version": "1.0",
"source": {
"id": "2012.12558",
"kind": "arxiv",
"version": 1
}
}