Pith Number
pith:QSL7GLHF
pith:2025:QSL7GLHFL6DYXSBYVKUSUQEPAX
not attested
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refs pending
From Pixels to Polygons: A Survey of Deep Learning Approaches for Medical Image-to-Mesh Reconstruction
arxiv:2505.03599 v1 · 2025-05-06 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{QSL7GLHFL6DYXSBYVKUSUQEPAX}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:59:19.081137Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8497f32ce55f878bc838aaa92a408f05cf2cdb6da7744a2ca3b89240d5afcf7c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/QSL7GLHFL6DYXSBYVKUSUQEPAX \
| 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: 8497f32ce55f878bc838aaa92a408f05cf2cdb6da7744a2ca3b89240d5afcf7c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "b651dbfd7e850aaefbf94fe6805b55c03ab2c8951878a335a83753760d1bf9c7",
"cross_cats_sorted": [],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2025-05-06T15:01:43Z",
"title_canon_sha256": "5bc9361dc4d99ce384d23da2429fc5a72c2e516a3908432b5b789eab99461e6d"
},
"schema_version": "1.0",
"source": {
"id": "2505.03599",
"kind": "arxiv",
"version": 1
}
}