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Paper Citation Record · LEDGER

GeoAlign: Geometric Feature Realignment for MLLM Spatial Reasoning

As of 3 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2604.12630.

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

pith.paper-citation-record.v1
2604.12630 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T15:57:17.230803Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:13:53.219095Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T12:16:57.469930Z

Reference resolution

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc5c1953-f50e-4fb7-83eb-e094e2cf03c8 · outbound

This paper cites InProceedings of the IEEE Con- ference on Computer Vision and Pattern Recognition, pages 5828–5839.

GeoAlign: Geometric Feature Realignment for MLLM Spatial Reasoning InProceedings of the IEEE Con- ference on Computer Vision and Pattern Recognition, pages 5828–5839

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T17:45:02.895451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T15:57:17.230803Z digest=sha256:553a4b86961792aa3067220a552c8d840a50687868ac8359587e9284ce952c1c

Observation 00572252-58b8-45c7-bfa3-753b892b4b9f · outbound

This paper cites GPT-4o System Card.

GeoAlign: Geometric Feature Realignment for MLLM Spatial Reasoning GPT-4o System Card

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:36:01.816290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T15:57:17.230803Z digest=sha256:0208c3ceb9b8b1738415a80487d3be3f2e3b171a1034ddf2afe6a64b6a8fb4dc

Observation 170c4380-2d84-464f-a384-a1b78fa1ae14 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

GeoAlign: Geometric Feature Realignment for MLLM Spatial Reasoning Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T09:36:01.809722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T15:57:17.230803Z digest=sha256:7fa5ff615a00e1f17859ddbd60e65780f8184aa15419f4d6cf7867b2fc7fd6c8

Pith citing papers

Observation 19a17f14-deb2-4abd-a307-d09acc76f2bd · inbound

Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models cites this paper.

Learning Geometric Representations from Videos for Spatial Intelligent Multimodal Large Language Models GeoAlign: Geometric Feature Realignment for MLLM Spatial Reasoning

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-07-02T12:16:57.471340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-06-28T02:13:53.219095Z digest=sha256:4a30acf2b3d7644f05af23ac8127584016dcfb01a22a90b8f129336dfcb7c5e2