Pith Number
pith:HG2GRXED
pith:2022:HG2GRXEDCNINSSSFMHWVJEMJVN
not attested
not anchored
not stored
refs pending
Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing
arxiv:2203.00387 v2 · 2022-03-01 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{HG2GRXEDCNINSSSFMHWVJEMJVN}
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 | 2026-07-05T08:27:59.277779Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
39b468dc831350d94a4561ed549189ab5ab5a279a66621f4126eb283cc1380b1
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/HG2GRXEDCNINSSSFMHWVJEMJVN \
| 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: 39b468dc831350d94a4561ed549189ab5ab5a279a66621f4126eb283cc1380b1
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d36d32aadabf8333045968065a0ab28bf828d014cb2b557ea39f68bd3da6c97c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-03-01T12:13:46Z",
"title_canon_sha256": "05fea2f9c7523af163f18b958dbc0a211d790448dace044a5b530a9b3b20b596"
},
"schema_version": "1.0",
"source": {
"id": "2203.00387",
"kind": "arxiv",
"version": 2
}
}