Pith Number
pith:5LZMK2ZJ
pith:2021:5LZMK2ZJ53X2JNSTZNCUFVX3RU
not attested
not anchored
not stored
refs pending
ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
arxiv:2108.06682 v1 · 2021-08-15 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{5LZMK2ZJ53X2JNSTZNCUFVX3RU}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T03:07:16.356288Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eaf2c56b29eeefa4b653cb4542d6fb8d17e2fbfd5a5bde778dc3fd9dc003843e
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5LZMK2ZJ53X2JNSTZNCUFVX3RU \
| 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: eaf2c56b29eeefa4b653cb4542d6fb8d17e2fbfd5a5bde778dc3fd9dc003843e
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "61fdb4cd296d3f0956bcd77832a74d4ed256308b022e1d37d254c2ca45e117e4",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2021-08-15T07:49:06Z",
"title_canon_sha256": "eb51408f3f45f2cb51d7db4a34c388daeaf10fdd2f1230abac0168fea052f769"
},
"schema_version": "1.0",
"source": {
"id": "2108.06682",
"kind": "arxiv",
"version": 1
}
}