Pith Number

pith:UAMIDGVC

pith:2026:UAMIDGVCEFTGJM26EZBKVB5RP5

not attested not anchored not stored refs pending

DVD: Discrete Voxel Diffusion for 3D Generation and Editing

Fupeng Sun, Heliang Zheng, Jiaqi Wu, Yingzhen Li, Zhengrui Xiang

Treating voxel occupancy as discrete categories in diffusion yields a direct framework for 3D voxel generation, uncertainty estimation, and editing.

arxiv:2605.07971 v2 · 2026-05-08 · cs.CV · cs.LG

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\usepackage{pith}
\pithnumber{UAMIDGVCEFTGJM26EZBKVB5RP5}

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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.

Claims

C1strongest claim

By treating voxel occupancy as a native discrete variable, DVD avoids continuous-to-discrete thresholding and provides a simple framework for voxel generation, uncertainty estimation, and editing.

C2weakest assumption

That modeling voxel occupancy directly as a discrete categorical variable yields an effective first-stage prior for sparse voxel scaffolds in SLat-based 3D pipelines without requiring continuous representations.

C3one line summary

DVD treats voxel occupancy as a discrete variable in a diffusion framework to generate, assess, and edit sparse 3D voxels without continuous thresholding.

Receipt and verification

First computed	2026-06-02T01:03:16.267166Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a018819aa2216664b35e2642aa87b17f52dd99b84f0fca5200527b1132917338

Aliases

arxiv: 2605.07971 · arxiv_version: 2605.07971v2 · doi: 10.48550/arxiv.2605.07971 · pith_short_12: UAMIDGVCEFTG · pith_short_16: UAMIDGVCEFTGJM26 · pith_short_8: UAMIDGVC

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UAMIDGVCEFTGJM26EZBKVB5RP5 \
  | 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: a018819aa2216664b35e2642aa87b17f52dd99b84f0fca5200527b1132917338

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2287700de04ad9f607da0323c20557c781015dad78933c2c52e581a8263657d8",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-08T16:32:17Z",
    "title_canon_sha256": "a23d71a49bf6908e81eeacad6640742a1c40ea67d7c7b19b621f43a1de458b82"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.07971",
    "kind": "arxiv",
    "version": 2
  }
}