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Paper Citation Record · LEDGER

Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2203.10192.

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

pith.paper-citation-record.v1
2203.10192 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:26:56.685208Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:04:02.607894Z

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 2e60ce39-dbb2-42c2-9584-52e9de6c4034 · inbound

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields cites this paper.

BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T19:26:56.685208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:26:56.685208Z digest=sha256:2e47ba58793d0b4f6cf95f26bb39855bb6b00663d3622b4b16571567024684bc

Observation 5be34ad3-29ff-47da-a846-187522e8bebb · inbound

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

Predicting 3D structure by latent posterior sampling Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:31:25.138751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T05:12:29.853347Z digest=sha256:56d6a3e2239963cf1e6d624f4248c9fe08e95752130ed2475f28a9c40f470c28

Observation 46ea5246-3e4e-4deb-97be-c1203d286a26 · inbound

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

Predicting 3D structure by latent posterior sampling Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.693335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T22:25:08.497485Z digest=sha256:874fa1bd5cd61bd79f046fe1b0e0c6bc94e74f012280786beb0eb8f26b8cdc63

Observation 3b89b787-ebd6-4770-8298-3691e2101d25 · inbound

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

Predicting 3D structure by latent posterior sampling Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty Quantification

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:04:02.611179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T08:03:02.821995Z digest=sha256:2be64b26c1fde3a0894caabde62317871e9b50d88fa9ae7d25b52169a693d1d6