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Paper Citation Record · LEDGER

GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.11503.

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

pith.paper-citation-record.v1
2406.11503 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:22:40.715943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:57:13.306045Z

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 03c39a17-27a9-4311-a54f-8d44f374faa0 · inbound

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems cites this paper.

MathFlow: Enhancing the Perceptual Flow of MLLMs for Visual Mathematical Problems GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:57:13.308859Z

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=2026-05-22T22:55:34.238427Z digest=sha256:c146d9209577ceb631a47ef8a065c49f69a011cb0d96cd6e995e2e3aaba78c2e

Observation 9a6d5bf9-03d9-4c03-aaa1-1891a69ca63b · 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 GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

Reference 1964

Resolution
unresolved
no resolver link, observed 2026-08-07T11:22:40.715943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:22:40.715943Z digest=sha256:187a51ac5b0d3869a81312ec0c02d6b865e36a38c2edd974234e812b74e53273

Observation 07b973fb-c5ec-4545-bd25-d88f972d26dc · inbound

GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning cites this paper.

GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoning GeoGPT4V: Towards Geometric Multi-modal Large Language Models with Geometric Image Generation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:50.443789Z

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=2026-05-20T22:42:23.066277Z digest=sha256:9ef9108ece8d45289f91e94233192fe2d462939cf21b640c2678e0b5b32c78d8