Pith Number
pith:DDKUGPHA
pith:2019:DDKUGPHAVFNYUSTSJOBV4S6TYA
not attested
not anchored
not stored
refs pending
Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics
arxiv:1904.03597 v1 · 2019-04-07 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{DDKUGPHAVFNYUSTSJOBV4S6TYA}
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 | 2026-05-17T23:49:12.859944Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
18d5433ce0a95b8a4a724b835e4bd3c016874a6d7c454fdf3ee8377b6e9efdf8
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/DDKUGPHAVFNYUSTSJOBV4S6TYA \
| 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: 18d5433ce0a95b8a4a724b835e4bd3c016874a6d7c454fdf3ee8377b6e9efdf8
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d051abaceccc9de2271c63332f0e97d2134d5d7a1e2d59bffcc96ebf96b95acd",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2019-04-07T07:27:37Z",
"title_canon_sha256": "2cc4ec3c0c5f52778838cbb4eaa0131fa7d2a98232003ef9b84999a94c99fed0"
},
"schema_version": "1.0",
"source": {
"id": "1904.03597",
"kind": "arxiv",
"version": 1
}
}