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Paper Citation Record · LEDGER

Physical Property Understanding from Language-Embedded Feature Fields

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.04242.

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

pith.paper-citation-record.v1
2404.04242 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:12:52.519168Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T15:12:52.570446Z

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 eacac505-d6b4-42a5-9de8-1684599aa2e9 · inbound

GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs cites this paper.

GaussianProperty: Integrating Physical Properties to 3D Gaussians with LMMs Physical Property Understanding from Language-Embedded Feature Fields

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-11T15:12:52.577148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T15:12:52.519168Z digest=sha256:160cfb7c80565647f9c212c8b929fe2eba5b61b1b7aa321fdf4cfd3dbca9f39c

Observation 54f4ed41-8589-4f09-9c14-b528a35cdc96 · inbound

Generative Physical AI in Vision: A Survey cites this paper.

Generative Physical AI in Vision: A Survey Physical Property Understanding from Language-Embedded Feature Fields

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-10T18:53:00.342027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:53:00.342027Z digest=sha256:8d8469c642148a1025fc5f374e2c95e91b094282c1986d0fd6e86ab51c66c333