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Paper Citation Record · LEDGER

Learning to Learn and Sample BRDFs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.03510.

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

pith.paper-citation-record.v1
2210.03510 v2

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:08:59.900161Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:16:26.340062Z

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 215dab3c-b318-44ee-af6b-3acecb3c27a4 · inbound

Rendering-Aware Sparse Sampling for BRDF Acquisition cites this paper.

Rendering-Aware Sparse Sampling for BRDF Acquisition Learning to Learn and Sample BRDFs

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:26.213586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T10:51:25.191812Z digest=sha256:d5cdcb788e3f4d1bff6f2db49e1cb81079bb1fbd30dceab15ff050983625d498

Observation f958d1ab-c08e-4ee3-9e63-f465e14361c5 · inbound

MAOAM: Unified Object and Material Selection with Vision-Language Models cites this paper.

MAOAM: Unified Object and Material Selection with Vision-Language Models Learning to Learn and Sample BRDFs

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:16:26.342056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T11:08:59.900161Z digest=sha256:9b84b8b2131075f5e4437ebdcbcebe66313f98fdbdb7f893823b9d76dedc1c2f