Pith Number
pith:JRPJGLKG
pith:2023:JRPJGLKGCH7BIP3VVZOYVYHF65
not attested
not anchored
not stored
refs pending
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP
arxiv:2301.08868 v2 · 2023-01-21 · eess.IV · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JRPJGLKGCH7BIP3VVZOYVYHF65}
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 | 2026-07-05T06:16:01.255432Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4c5e932d4611fe143f75ae5d8ae0e5f7693b567f6046062265495dca0a8e1673
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JRPJGLKGCH7BIP3VVZOYVYHF65 \
| 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: 4c5e932d4611fe143f75ae5d8ae0e5f7693b567f6046062265495dca0a8e1673
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "14234a9e73f8ad74dcf50f88ec27c14e04856d5725bfb9e3bda1aff3c0033c9e",
"cross_cats_sorted": [
"cs.CV",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "eess.IV",
"submitted_at": "2023-01-21T02:58:51Z",
"title_canon_sha256": "c1134c7866301bcb8cf007523a4027221b225a2083cbf403821fe3a0a8e2153d"
},
"schema_version": "1.0",
"source": {
"id": "2301.08868",
"kind": "arxiv",
"version": 2
}
}