Pith. sign in
Pith Number

pith:7FEK2SGB

pith:2024:7FEK2SGBBAD34IZ7DQIDKBVJ2J
not attested not anchored not stored refs pending

MDNF: Multi-Diffusion-Nets for Neural Fields on Meshes

Avigail Cohen Rimon, Mirela Ben Chen, Tal Shnitzer

arxiv:2409.03034 v2 · 2024-09-04 · cs.CV · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{7FEK2SGBBAD34IZ7DQIDKBVJ2J}

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Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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

arxiv: 2409.03034 · arxiv_version: 2409.03034v2 · doi: 10.48550/arxiv.2409.03034 · pith_short_12: 7FEK2SGBBAD3 · pith_short_16: 7FEK2SGBBAD34IZ7 · pith_short_8: 7FEK2SGB
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
  }
}