Pith Number
pith:PQFR6MAR
pith:2022:PQFR6MARK2QAIRYOFXZ4MKLDNX
not attested
not anchored
not stored
refs pending
Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding
arxiv:2201.11506 v1 · 2022-01-27 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{PQFR6MARK2QAIRYOFXZ4MKLDNX}
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 | 2026-07-05T03:52:02.803243Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7c0b1f301156a004470e2df3c629636df182f95dad0da3aa1b2d1d9ea531938d
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/PQFR6MARK2QAIRYOFXZ4MKLDNX \
| 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: 7c0b1f301156a004470e2df3c629636df182f95dad0da3aa1b2d1d9ea531938d
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "17f9dabeeea4f20ade7775b38744bd41a1a8e72e62773c2699747eaa1df867ee",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2022-01-27T13:36:22Z",
"title_canon_sha256": "358bd1111f1c786d7298f66cb61a8b55ad42ee1f3582239c072a09477a68837f"
},
"schema_version": "1.0",
"source": {
"id": "2201.11506",
"kind": "arxiv",
"version": 1
}
}