Pith Number
pith:WNQ5WA3K
pith:2018:WNQ5WA3KPUCK5G3WGIGLKIEOAV
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not anchored
not stored
refs pending
DeepSeeNet: A deep learning model for automated classification of patient-based age-related macular degeneration severity from color fundus photographs
arxiv:1811.07492 v2 · 2018-11-19 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WNQ5WA3KPUCK5G3WGIGLKIEOAV}
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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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 | 2026-05-17T23:55:28.682197Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b361db036a7d04ae9b76320cb5208e056d33406bc5e5d00fd5c5633f3be691cd
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WNQ5WA3KPUCK5G3WGIGLKIEOAV \
| 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: b361db036a7d04ae9b76320cb5208e056d33406bc5e5d00fd5c5633f3be691cd
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ccaa8105375631be6cd0234ed0ef5081171fe85af6f27f26d042d525d60b4ba8",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2018-11-19T04:19:34Z",
"title_canon_sha256": "93a3895c88130247d423d4e7573bae5e43ae5ba0e8b95ddc2244ea660fb6b2e1"
},
"schema_version": "1.0",
"source": {
"id": "1811.07492",
"kind": "arxiv",
"version": 2
}
}