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Paper Citation Record · LEDGER

Image Fusion via Vision-Language Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.02235.

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

pith.paper-citation-record.v1
2402.02235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:33:05.882596Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T20:37:22.721033Z

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 e1e251a3-0f8c-44aa-9e6e-34a24f093882 · inbound

CNN-ViT Fusion with Adaptive Attention Gate for Brain Tumor MRI Classification: A Hybrid Deep Learning Model cites this paper.

CNN-ViT Fusion with Adaptive Attention Gate for Brain Tumor MRI Classification: A Hybrid Deep Learning Model Image Fusion via Vision-Language Model

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:31:12.046343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T08:47:18.067464Z digest=sha256:234c1446887cf55821fe7aa1853e42f907ae6deba28b814c4818642328daaf7e

Observation 4f107d86-2a0e-40da-bb77-3f8456a02daf · inbound

Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models cites this paper.

Adding Thermal Awareness to Visual Systems in Real-Time via Distilled Diffusion Models Image Fusion via Vision-Language Model

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:41:12.519182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T14:13:57.456519Z digest=sha256:a5ca819fea2b4d026495c962be3622b62bf28be59bb7c0aad942ff1dde842bd4

Observation 71ac2cc1-2fd4-4965-8cb7-d643895a88ce · inbound

MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation cites this paper.

MPerS: Dynamic MLLM MixExperts Perception-Guided Remote Sensing Scene Segmentation Image Fusion via Vision-Language Model

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:21:19.127394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T03:17:06.383426Z digest=sha256:d1645790480c9a5c013bc9326e72e4788d69625a455b17436fe04877036f01c9

Observation 2909aebf-3c90-471e-9f27-2aec1d5b1963 · inbound

FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion cites this paper.

FMRFusion: Frequency-Aware Multi-View Representation Learning for Heterogeneous Image Fusion Image Fusion via Vision-Language Model

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:37:22.723616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T20:18:50.576890Z digest=sha256:af72b82f3fae48bf5ab54a7763ab8682306c91a64adf3bedfdc87f1b6e5f374e

Observation 7dc1271d-2c45-4183-9284-702ccdd1e309 · inbound

Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation cites this paper.

Coarse-to-fine Framework for Generative MEF via Implicit Neural Representation Image Fusion via Vision-Language Model

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-01T17:33:05.882596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:33:05.882596Z digest=sha256:adc48945b7b36eb7f5b2637eceb1cdc504924e56e39555a2309d61bd4656b8db