Pith Number
pith:IMNWDSVK
pith:2025:IMNWDSVKSFMUWF6ZVJNPZLQC7O
not attested
not anchored
not stored
refs pending
Discrete Spatial Diffusion: Intensity-Preserving Diffusion Modeling
arxiv:2505.01917 v2 · 2025-05-03 · cs.GR · cond-mat.mtrl-sci · cs.LG · eess.IV
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IMNWDSVKSFMUWF6ZVJNPZLQC7O}
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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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 | 2026-07-05T11:04:22.095993Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
431b61caaa91594b17d9aa5afcae02fb9348b8339fc89083e0480c3d4d6c9415
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IMNWDSVKSFMUWF6ZVJNPZLQC7O \
| 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: 431b61caaa91594b17d9aa5afcae02fb9348b8339fc89083e0480c3d4d6c9415
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "d4efd0f591d301082825c72c5e4f57aba127601d6efec81705f3e3f03c51fd76",
"cross_cats_sorted": [
"cond-mat.mtrl-sci",
"cs.LG",
"eess.IV"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.GR",
"submitted_at": "2025-05-03T20:37:39Z",
"title_canon_sha256": "4436bc682f2c2dc2072af0d08960463069f3cb8763b1c4771d41329b60915fba"
},
"schema_version": "1.0",
"source": {
"id": "2505.01917",
"kind": "arxiv",
"version": 2
}
}