Pith Number
pith:4M5QZWW7
pith:2017:4M5QZWW76KVPUJIWPROAJRIODK
not attested
not anchored
not stored
refs pending
Deep representation learning for human motion prediction and classification
arxiv:1702.07486 v2 · 2017-02-24 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{4M5QZWW76KVPUJIWPROAJRIODK}
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
✓
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 | 2026-05-18T00:46:26.093063Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e33b0cdadff2aafa25167c5c04c50e1a98cddf4b34b4c33bae0e215ef36faec7
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/4M5QZWW76KVPUJIWPROAJRIODK \
| 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: e33b0cdadff2aafa25167c5c04c50e1a98cddf4b34b4c33bae0e215ef36faec7
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "70cc6b024ba5dad757fa3e67ed288c4bd2cfd2a136b8cdad8285aa36684b2423",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2017-02-24T07:51:29Z",
"title_canon_sha256": "2ab7745fb89713dd3f628c9bf308c485274ef0d3eb09cc9130ceed72f415f58b"
},
"schema_version": "1.0",
"source": {
"id": "1702.07486",
"kind": "arxiv",
"version": 2
}
}