Pith Number
pith:BKDMXTP2
pith:2024:BKDMXTP2BNNUX3ABTNZD6YFOPQ
not attested
not anchored
not stored
refs pending
From Diffusion to Resolution: Leveraging 2D Diffusion Models for 3D Super-Resolution Task
arxiv:2411.16792 v1 · 2024-11-25 · cs.CV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BKDMXTP2BNNUX3ABTNZD6YFOPQ}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-07-05T09:40:23.174728Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0a86cbcdfa0b5b4bec019b723f60ae7c2b368d5485daf2acd5484802131cac8f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BKDMXTP2BNNUX3ABTNZD6YFOPQ \
| 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: 0a86cbcdfa0b5b4bec019b723f60ae7c2b368d5485daf2acd5484802131cac8f
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "e54d0c16a4bff1c81ebbbed6efb220ec6f4ffcfd0ced569478525a6097d9658c",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-11-25T09:12:55Z",
"title_canon_sha256": "561a524a5cd688a254e78d6bc85659e5886855f39e4d34a4dfe52f5c9aca9c30"
},
"schema_version": "1.0",
"source": {
"id": "2411.16792",
"kind": "arxiv",
"version": 1
}
}