Paper Citation Record · LEDGER

GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.10104.

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

pith.paper-citation-record.v1
2402.10104 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:27:39.907348Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T00:41:56.038854Z

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 44ed84c8-9e19-4af0-85c4-99ca81f8f81d · inbound

Large Language Models for Mathematical Analysis cites this paper.

Large Language Models for Mathematical Analysis GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T23:27:39.907348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0eccaa48-57d5-4a90-bcd4-dd1e459aedc3 · inbound

Visual Large Language Models for Generalized and Specialized Applications cites this paper.

Visual Large Language Models for Generalized and Specialized Applications GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 296

Resolution: unresolved; no resolver link, observed 2026-08-10T22:08:10.050676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b655570-8226-4053-8528-253118b0354a · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:57.983725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 440473a2-487e-4a2d-9142-9c275c8f5343 · inbound

Towards Geometry Problem Solving in the Large Model Era: A Survey cites this paper.

Towards Geometry Problem Solving in the Large Model Era: A Survey GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:41.612534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3725ed5-4de1-4a98-bf60-d533f4279a6a · inbound

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective cites this paper.

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:38.928978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bceaad6-cd75-4651-a292-1c826a2c4e8a · inbound

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines cites this paper.

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-19T00:41:56.041632Z

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.

Observation 7c0362ae-c44a-4f51-8df2-6bb4565b2277 · inbound

Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations cites this paper.

Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:35:56.037889Z

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.