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Paper Citation Record · LEDGER

EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.15596.

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

pith.paper-citation-record.v1
2311.15596 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:24:04.861523Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T19:41:44.467724Z

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 ec6b6748-66a7-4705-9daa-b6b4e8d0cad9 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:41:44.470618Z

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=2026-05-12T19:41:44.263663Z digest=sha256:6fef94f441972e343a90c49065c04515023e7e8154adc9700fff895392f8dd75

Observation 5910c5c7-c0b6-417f-b3f8-26090edfbe5c · inbound

Can Multimodal Large Language Models Understand Spatial Relations? cites this paper.

Can Multimodal Large Language Models Understand Spatial Relations? EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T14:24:04.861523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:24:04.861523Z digest=sha256:224015c38c8d5cd3b10bbae8753db04ae933195c0641502ad48ce767e6b53f28

Observation e3d5b5ff-5afb-4035-a383-97b5f18e3f03 · inbound

Volume-Distance-Ratio Asymptote and Spacetime Inextendibility for FLRW Spacetimes cites this paper.

Volume-Distance-Ratio Asymptote and Spacetime Inextendibility for FLRW Spacetimes EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T04:36:34.219676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:36:34.219676Z digest=sha256:bbcc98d682c5230600a38131ae4a3d7d2912743eed1ec60d44afe5d8f31290d5