Pith Number
pith:6MWBFIXI
pith:2025:6MWBFIXIZT6F4MTBRZRKS7F53B
not attested
not anchored
not stored
refs pending
Autoregressive Medical Image Segmentation via Next-Scale Mask Prediction
arxiv:2502.20784 v1 · 2025-02-28 · eess.IV · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{6MWBFIXIZT6F4MTBRZRKS7F53B}
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.
Cited by
Receipt and verification
| First computed | 2026-07-05T10:21:39.660600Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f32c12a2e8ccfc5e32618e62a97cbdd87b7628cd68006a6e683211254928be36
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6MWBFIXIZT6F4MTBRZRKS7F53B \
| 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: f32c12a2e8ccfc5e32618e62a97cbdd87b7628cd68006a6e683211254928be36
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "4c2a08046c1dfbbc826c4016709503b25fbe1b12a7632c405ac3c5bb8c7ffebd",
"cross_cats_sorted": [
"cs.CV"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "eess.IV",
"submitted_at": "2025-02-28T07:05:58Z",
"title_canon_sha256": "0bdaff1d19127e9ea2401dc592c55023f08cb35fa38e30720fbc03157ee70fd7"
},
"schema_version": "1.0",
"source": {
"id": "2502.20784",
"kind": "arxiv",
"version": 1
}
}