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Paper Citation Record · LEDGER

Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.03185.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2309.03185 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:10:00.470959Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T08:04:02.604657Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 79c40934-2c03-46ca-b596-de41ba902314 · inbound

Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions cites this paper.

Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T12:10:00.470959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:10:00.470959Z digest=sha256:1e7cf80ac807f517ec84918aac71a8e766b33a63209f6f77eef131bd3efed8cf

Observation 94698ec6-ebcb-4a48-80d6-532ded662e1f · inbound

GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction cites this paper.

GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T11:50:50.151009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:50:50.151009Z digest=sha256:0c1e0621bbadf6c734be1cb9af73843fafc55861ca3f7e4723de0d7f6a8de41f

Observation 1762a2c8-2680-4561-b0c1-de12b0796d83 · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:31:25.149839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T05:12:29.853347Z digest=sha256:4db7c2603ed7b70b29c8dba7dc18b1b62feb0497a0159c5cc5a504fddc8483ec

Observation 760ed254-4e4d-46ad-91eb-4d1cb4d5607b · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.729332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T22:25:08.497485Z digest=sha256:5b93421dae7c4ddecc1851c39dc162d4f0f6f350f06f1614a5351feb5a61c7c6

Observation 234f7f4e-e79b-4bfb-a56f-53de4ff6d40e · inbound

Predicting 3D structure by latent posterior sampling cites this paper.

Predicting 3D structure by latent posterior sampling Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:04:02.606627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-21T08:03:02.821995Z digest=sha256:2f5d3a746df884af35fbbcc28a6df580307efb47fabb7eb4ccc1551d7e28ccd2