Pith Number
pith:7FEK2SGB
pith:2024:7FEK2SGBBAD34IZ7DQIDKBVJ2J
not attested
not anchored
not stored
refs pending
MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes
arxiv:2409.03034 v2 · 2024-09-04 · cs.CV · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7FEK2SGBBAD34IZ7DQIDKBVJ2J}
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.
Receipt and verification
| First computed | 2026-07-05T11:40:31.264622Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f948ad48c10807be233f1c103506a9d251270cf750215076b04ddff431800c3b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7FEK2SGBBAD34IZ7DQIDKBVJ2J \
| 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: f948ad48c10807be233f1c103506a9d251270cf750215076b04ddff431800c3b
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "11996d1a7fb1e736d83611d901e8a4a63871e46f7ba71c5eccef04767c7e6aef",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "cs.CV",
"submitted_at": "2024-09-04T19:08:13Z",
"title_canon_sha256": "12c28afc0cf1b41051f4c801bdbbfb63fc555b01967b5465cca62df5260f9dcb"
},
"schema_version": "1.0",
"source": {
"id": "2409.03034",
"kind": "arxiv",
"version": 2
}
}