Pith Number

pith:4363P7J7

pith:2026:4363P7J7DBUVD2SEOGZ5JQQM7D

not attested not anchored not stored refs pending

Predicting 3D structure by latent posterior sampling

Azmi Haider, Dan Rosenbaum

Representing 3D scenes as stochastic latent variables decoded by a NeRF allows sampling from the posterior to perform reconstruction from diverse observations.

arxiv:2605.10830 v2 · 2026-05-11 · cs.CV · cs.LG

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\usepackage{pith}
\pithnumber{4363P7J7DBUVD2SEOGZ5JQQM7D}

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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 using the model to generate samples from the posterior we demonstrate that various 3D reconstruction tasks can be performed, differing by the type of observation used as inputs... our method can model the varying levels of inherent uncertainty associated with each task.

C2weakest assumption

That a single low-dimensional stochastic latent variable, once decoded by a NeRF, can faithfully represent the posterior distribution over 3D scenes for the range of observation types considered.

C3one line summary

A two-stage latent-variable model uses diffusion-based score matching to sample 3D scenes from posteriors conditioned on varied observations via volumetric rendering likelihoods.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:03:17.009526Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e6fdb7fd3f186951ea4471b3d4c20cf8f70d17a291bf4fe39153e09b939efad3

Aliases

arxiv: 2605.10830 · arxiv_version: 2605.10830v2 · doi: 10.48550/arxiv.2605.10830 · pith_short_12: 4363P7J7DBUV · pith_short_16: 4363P7J7DBUVD2SE · pith_short_8: 4363P7J7

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/4363P7J7DBUVD2SEOGZ5JQQM7D \
  | 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: e6fdb7fd3f186951ea4471b3d4c20cf8f70d17a291bf4fe39153e09b939efad3

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9601dec35214ba7f10838bebf57c91aa5479deb785770e1b051da09524bf7936",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-11T16:47:25Z",
    "title_canon_sha256": "4a2db8cb05ab62dd9343b9ca1dcab5a58278ebb8d0a6a38697666dc5ebf42509"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.10830",
    "kind": "arxiv",
    "version": 2
  }
}