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Paper Citation Record · LEDGER

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.14354.

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

pith.paper-citation-record.v1
2401.14354 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:34:02.206170Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T03:49:31.179637Z

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 2a3952a4-0238-4ce5-a9ae-eac5f88877e8 · inbound

Geometric Neural Process Fields cites this paper.

Geometric Neural Process Fields Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T12:34:02.206170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:34:02.206170Z digest=sha256:00b377b0c150fa9f9b0b08a07bf43101ea1fc87f197827ba2f5575b4cc3c64a2

Observation 6f5895e9-0d65-4ff6-abcf-335906b1439b · inbound

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation cites this paper.

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-21T03:49:31.181171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T03:46:30.726145Z digest=sha256:60f9670be46559b311493f93cfc4464a64ce45d3d2da89ef26e3e1b1eb66e880