Pith Number
pith:OH3L6QJJ
pith:2021:OH3L6QJJLWCCHE54RX3GINSGE2
not attested
not anchored
not stored
refs pending
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?
arxiv:2112.01730 v7 · 2021-12-03 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{OH3L6QJJLWCCHE54RX3GINSGE2}
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 | 2026-07-05T04:58:53.358898Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
71f6bf41295d842393bc8df6643646269d189b57641f3fb3e8626289da023fc0
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OH3L6QJJLWCCHE54RX3GINSGE2 \
| 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: 71f6bf41295d842393bc8df6643646269d189b57641f3fb3e8626289da023fc0
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da23fb5719db3d6b761d87085e2a96aa5c32292c7d62728afd6ca8a23a1f98c3",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-12-03T06:09:06Z",
"title_canon_sha256": "b58e9e3e25311669d9b3edf4635bc45adea33617207d663f99d366e2b3904dd0"
},
"schema_version": "1.0",
"source": {
"id": "2112.01730",
"kind": "arxiv",
"version": 7
}
}