Pith Number
pith:BEA3IXUN
pith:2021:BEA3IXUNIV6JIMDBT5BEQFUOUP
not attested
not anchored
not stored
refs pending
Unsupervised Landmark Detection Based Spatiotemporal Motion Estimation for 4D Dynamic Medical Images
arxiv:2109.14805 v3 · 2021-09-30 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BEA3IXUNIV6JIMDBT5BEQFUOUP}
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
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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 | 2026-07-05T03:29:52.434821Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0901b45e8d457c9430619f4248168ea3f7d64ac78286c74e9267c2be577e3abc
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BEA3IXUNIV6JIMDBT5BEQFUOUP \
| 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: 0901b45e8d457c9430619f4248168ea3f7d64ac78286c74e9267c2be577e3abc
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "5d7fd0a2a1a9ee3f2fc6606387c78d4a8dca36377da7fba3b8d728448f43d46b",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2021-09-30T02:06:02Z",
"title_canon_sha256": "12ea1cfdf625c0175410ab7765edaa6df4af7b8e49da35c8ea70acb12fadfb0d"
},
"schema_version": "1.0",
"source": {
"id": "2109.14805",
"kind": "arxiv",
"version": 3
}
}