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Paper Citation Record · LEDGER

VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.20213.

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

pith.paper-citation-record.v1
2403.20213 v4

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 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:46:12.316595Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:56:59.147746Z

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 3f4aace0-37a0-4b07-b11b-ba9fbb559ba7 · inbound

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs cites this paper.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T19:46:12.316595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:46:12.316595Z digest=sha256:86462c40202828a0f4ee269b56731dc186b3c734a03ca0b01ab6297b56bab3fa

Observation f1be23c9-f869-48ca-a5ac-204dcf3a7b54 · inbound

GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing cites this paper.

GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:13.264931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:13.264931Z digest=sha256:0e92c6300f38f392623f17a42da59d630434c6ce7399c05858505ec30f9d0dcd

Observation 898e6e55-730e-4c46-b48c-0116bab51854 · inbound

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images cites this paper.

Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T16:41:43.149382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:41:43.149382Z digest=sha256:5f297791b1fa383d035750b883f0244f6bad97efa005e299a473f75cf9b33765

Observation 466528d3-ba0d-4c11-837a-69181a9ef3de · inbound

Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding cites this paper.

Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:26:01.418886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:29:49.681399Z digest=sha256:7e310f1964e64ab9e2d2f298c75fb80fccb5782f739c68b75082de72b5452160

Observation 59d02767-e132-4130-980e-c818e6987d9d · inbound

GeoSearcher: Anchor-Guided Progressive Reasoning for Remote Sensing Visual Grounding with Process Supervision cites this paper.

GeoSearcher: Anchor-Guided Progressive Reasoning for Remote Sensing Visual Grounding with Process Supervision VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:56:59.149262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T13:52:29.466227Z digest=sha256:7ecb71663d6d9c3d6eb5ab2607054a944f329d1efd12d934298265e9189dce6a

Observation bfeebafc-3298-4522-b84b-cc55166125ef · inbound

Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose? cites this paper.

Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose? VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T10:20:56.785879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:20:56.785879Z digest=sha256:a3f8ac071475dcdf6c44f34ab061a5bb97b585207a52fc3b5b4d1e47c35ee908

Observation 6e171e44-4f04-46e4-97f5-1d0ae0d5def9 · inbound

Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing cites this paper.

Beyond Zooming: Learning Multi-Tool Visual Reasoning for Ultra-High-Resolution Remote Sensing VHM: Versatile and Honest Vision Language Model for Remote Sensing Image Analysis

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T00:59:20.770802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:59:20.770802Z digest=sha256:b98a23cabaabf38860ccd65c440d599dbddb56081388d372ab9ebe302f10b9a9