Pith Number
pith:AUTDXOTM
pith:2018:AUTDXOTMZMZRM2NLTB5VX4EFNE
not attested
not anchored
not stored
refs pending
A Deep Learning Approach for Pose Estimation from Volumetric OCT Data
arxiv:1803.03852 v1 · 2018-03-10 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{AUTDXOTMZMZRM2NLTB5VX4EFNE}
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 | 2026-05-18T00:20:13.481689Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
05263bba6ccb331669ab987b5bf085690327d5f278af0ed298adc66fb6b00d7f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AUTDXOTMZMZRM2NLTB5VX4EFNE \
| 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: 05263bba6ccb331669ab987b5bf085690327d5f278af0ed298adc66fb6b00d7f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b6a5bc613c0ba0948b86f3fc08f37932f0b653e319c0f23cfcee7c7ce2785589",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-03-10T18:48:18Z",
"title_canon_sha256": "42efe3058cb5416a098a6395b80fd3553acef27ab5872cb9c300b49b2547b2b0"
},
"schema_version": "1.0",
"source": {
"id": "1803.03852",
"kind": "arxiv",
"version": 1
}
}