Pith Number
pith:335N6Z5G
pith:2023:335N6Z5GQYMMBDR6Y43GMZRF42
not attested
not anchored
not stored
refs pending
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
arxiv:2303.17015 v1 · 2023-03-29 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{335N6Z5GQYMMBDR6Y43GMZRF42}
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 | 2026-07-05T05:56:18.301482Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
defadf67a68618c08e3ec736666625e69757124ca9fc62e12faaf004c51a0a78
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/335N6Z5GQYMMBDR6Y43GMZRF42 \
| 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: defadf67a68618c08e3ec736666625e69757124ca9fc62e12faaf004c51a0a78
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "da1842cc0fdee09e9a847e2c285626bb03f564b022fbc1dcb22ce72151e22a7e",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CV",
"submitted_at": "2023-03-29T20:44:42Z",
"title_canon_sha256": "0f93b2d51c5d85794374b937fd4bd20a57190a9eb7cea89108f25876c431e5f4"
},
"schema_version": "1.0",
"source": {
"id": "2303.17015",
"kind": "arxiv",
"version": 1
}
}