Pith Number
pith:UURVST3Y
pith:2021:UURVST3Y7DAS5PX26JCSQUAXP3
not attested
not anchored
not stored
refs pending
Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network
arxiv:2109.05287 v1 · 2021-09-11 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{UURVST3Y7DAS5PX26JCSQUAXP3}
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 | 2026-07-05T03:13:37.206136Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
a523594f78f8c12ebefaf2452850177eececd7dabd8118d93edc42ec28181b9c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/UURVST3Y7DAS5PX26JCSQUAXP3 \
| 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: a523594f78f8c12ebefaf2452850177eececd7dabd8118d93edc42ec28181b9c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "f61382c73fd0e59573edda14c025e4429b9fd98ef9d5983c79f26317cf5f77e9",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-09-11T14:24:44Z",
"title_canon_sha256": "d9ea552ecbc6fa0fb36937ec8ed0237b41e9565dbcd4267e01c9debed756de1f"
},
"schema_version": "1.0",
"source": {
"id": "2109.05287",
"kind": "arxiv",
"version": 1
}
}