Pith Number
pith:BU2DFSKI
pith:2026:BU2DFSKIWUT3BJ5PVZBNFI7HIJ
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not anchored
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refs pending
MRecover: A Conditional Generative Model for Recovering Motion-Corrupted MR images Using AI Generated Contrast
arxiv:2605.21669 v1 · 2026-05-20 · cs.CV · cs.AI
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BU2DFSKIWUT3BJ5PVZBNFI7HIJ}
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 | 2026-05-22T01:03:27.471168Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0d3432c948b527b0a7afae42d2a3e742720f16dc839ffed110f515044d79cf67
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BU2DFSKIWUT3BJ5PVZBNFI7HIJ \
| 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: 0d3432c948b527b0a7afae42d2a3e742720f16dc839ffed110f515044d79cf67
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c9157d141d32a8ab85ca3aca7d0b8d87922192489e09b68ad6107d02596dbb4c",
"cross_cats_sorted": [
"cs.AI"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2026-05-20T19:23:03Z",
"title_canon_sha256": "dc74c791b9b99af59ca40596f9dc3fa79124ee263e4588a20d8892be04881370"
},
"schema_version": "1.0",
"source": {
"id": "2605.21669",
"kind": "arxiv",
"version": 1
}
}