Paper Citation Record · LEDGER

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2505.03507.

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

pith.paper-citation-record.v1
2505.03507 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:54:22.502553Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

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verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ff32a197-f181-4f1f-b033-41f9df054e25 · outbound

This paper cites Scene-dependent pre- diction in latent space for video anomaly detection and anticipation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(1):224–239,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Scene-dependent pre- diction in latent space for video anomaly detection and anticipation.IEEE Transactions on Pattern Analysis and Machine Intelligence, 47(1):224–239,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.882684Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17c04a49-63da-4052-b4db-296ee98bba63 · outbound

This paper cites Bridging search region in- teraction with template for rgb-t tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Bridging search region in- teraction with template for rgb-t tracking

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.840186Z

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Observation 871f869d-fb93-4bd5-abf0-4a6bbc18904b · outbound

This paper cites Learning collabora- tive sparse representation for grayscale-thermal tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Learning collabora- tive sparse representation for grayscale-thermal tracking

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.829393Z

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Observation e49ca6fd-7e68-4ccb-89fb-67fccd8d4b4e · outbound

This paper cites Motion-aware self-supervised rgbt tracking with multi-modality hierarchical transform- ers.ACM Transactions on Multimedia Computing, Communications and Applications,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Motion-aware self-supervised rgbt tracking with multi-modality hierarchical transform- ers.ACM Transactions on Multimedia Computing, Communications and Applications,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.786277Z

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Observation 1d583a3c-32fe-4338-883d-716c88920ab7 · outbound

This paper cites Decoupled Weight Decay Regularization.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Decoupled Weight Decay Regularization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.434148Z

Source-reported events for the cited work

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Observation bace39e8-279d-4841-8f80-7f018aecee50 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking U-net: Convolutional networks for biomedical image segmentation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.773671Z

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Observation c5006cef-7c78-4be1-996f-c3dd99c74ce0 · outbound

This paper cites S2siamfc: Self-supervised fully convolutional siamese network for visual tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking S2siamfc: Self-supervised fully convolutional siamese network for visual tracking

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.752025Z

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Observation 6822dda5-353b-4791-b151-f2cc2306caa5 · outbound

This paper cites Denoising Diffusion Implicit Models.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Denoising Diffusion Implicit Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.451978Z

Source-reported events for the cited work

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Observation a8290b41-1cb4-48c2-994b-fe6a74f4f553 · outbound

This paper cites Datfuse: Infrared and visible image fusion via dual attention transformer.IEEE Trans- actions on Circuits and Systems for Video Technology, 33(7):3159–3172,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Datfuse: Infrared and visible image fusion via dual attention transformer.IEEE Trans- actions on Circuits and Systems for Video Technology, 33(7):3159–3172,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.740651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b18e44da-7283-41bd-beb3-40aa634a6fcc · outbound

This paper cites Generative-based fusion mechanism for multi-modal tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Generative-based fusion mechanism for multi-modal tracking

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.729553Z

Source-reported events for the cited work

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Observation 495a9953-0eb6-4c0b-a7b4-324626f6a249 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Attention is all you need.Advances in neural information processing systems, 30,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.462330Z

Source-reported events for the cited work

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Observation c6f56b12-c4b8-47d0-b37f-bfdd455e467d · outbound

This paper cites Graph attention networks.stat, 1050(20):10–48550,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Graph attention networks.stat, 1050(20):10–48550,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.712610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e07c88fa-cd21-418e-8598-86f5f3b9c4d2 · outbound

This paper cites Unsupervised deep tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Unsupervised deep tracking

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.702633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bfea15c5-ff45-4a6e-a67e-fffdc307ac77 · outbound

This paper cites Mfgnet: Dynamic modality-aware filter generation for rgb-t tracking.IEEE Transactions on Multimedia, 25:4335–4348,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Mfgnet: Dynamic modality-aware filter generation for rgb-t tracking.IEEE Transactions on Multimedia, 25:4335–4348,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.691957Z

Source-reported events for the cited work

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Observation 91f7b8e6-c605-4033-a844-eb0637b080c3 · outbound

This paper cites A dynamic feature interaction framework for multi-task visual perception.Int.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking A dynamic feature interaction framework for multi-task visual perception.Int

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.681195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 62545e22-7909-4924-91f0-ec9cd5338d2d · outbound

This paper cites Multimodal cross-layer bilinear pooling for rgbt tracking.IEEE Transactions on Multimedia, 24:567–580,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Multimodal cross-layer bilinear pooling for rgbt tracking.IEEE Transactions on Multimedia, 24:567–580,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.670962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc3c6c2e-c650-4c96-8a43-e00b1c843ceb · outbound

This paper cites Meem: robust tracking via multiple experts using entropy minimization.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Meem: robust tracking via multiple experts using entropy minimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.659497Z

Source-reported events for the cited work

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Observation a5c7bf1e-784a-4284-b280-9271c794b42e · outbound

This paper cites Multi-modal fusion for end-to-end rgb-t track- ing.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Multi-modal fusion for end-to-end rgb-t track- ing

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.648920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27b823ee-621f-4065-93c9-9790d97c3f94 · outbound

This paper cites Visible-thermal uav track- ing: A large-scale benchmark and new baseline.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Visible-thermal uav track- ing: A large-scale benchmark and new baseline

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.637988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9cbc1a57-c0c7-4cca-be63-dfcfcb385282 · outbound

This paper cites an unresolved cited work.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:54:22.627403Z

Source-reported events for the cited work

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Observation bf5eb6ac-3601-4fa3-8d93-68978dc85e67 · outbound

This paper cites Diff-tracker: text-to-image diffusion models are unsupervised trackers.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Diff-tracker: text-to-image diffusion models are unsupervised trackers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.616557Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22d33709-f07a-4877-94f4-024935b3f9a6 · outbound

This paper cites Learning to track objects from un- labeled videos.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Learning to track objects from un- labeled videos

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.605156Z

Source-reported events for the cited work

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Observation 6bcc063a-1bd7-4807-86b6-b8f668761085 · outbound

This paper cites Visual prompt multi-modal track- ing.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Visual prompt multi-modal track- ing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.593253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation af01de1f-061b-4a94-a8fe-92772fdce9ce · outbound

This paper cites Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.406317Z

Source-reported events for the cited work

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Observation 3d7d8c6a-b3cc-4d65-ad30-78a14459f023 · outbound

This paper cites Unsupervised learning of accu- rate siamese tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Unsupervised learning of accu- rate siamese tracking

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.762759Z

Source-reported events for the cited work

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Observation 84e5edea-c732-45a7-a809-ad61a637f414 · outbound

This paper cites Rgb-t object tracking: Bench- mark and baseline.Pattern Recognition, 96:106977,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Rgb-t object tracking: Bench- mark and baseline.Pattern Recognition, 96:106977,

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.818694Z

Source-reported events for the cited work

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Observation 2efbeb26-e62d-4373-a5bc-6d083fbb0c09 · outbound

This paper cites AFter: Attention-based Fusion Router for RGBT Tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking AFter: Attention-based Fusion Router for RGBT Tracking

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.437614Z

Source-reported events for the cited work

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Observation 25a41da2-6c13-4c38-9944-7c1310e9d0f1 · outbound

This paper cites Lasher: A large-scale high-diversity benchmark for rgbt track- ing.IEEE Transactions on Image Processing, 31:392–404,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Lasher: A large-scale high-diversity benchmark for rgbt track- ing.IEEE Transactions on Image Processing, 31:392–404,

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.808462Z

Source-reported events for the cited work

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Observation b485a159-b3cf-459f-a465-b995124a9de3 · outbound

This paper cites High-speed tracking with kernelized correlation filters.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 37(3):583–596,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking High-speed tracking with kernelized correlation filters.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 37(3):583–596,

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.852233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dae23369-84e8-45cb-804a-cfee74ea824d · outbound

This paper cites Unsupervised rgb-t object tracking with attentional multi- modal feature fusion.Multimedia Tools and Applications, pages 1–19,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Unsupervised rgb-t object tracking with attentional multi- modal feature fusion.Multimedia Tools and Applications, pages 1–19,

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.797549Z

Source-reported events for the cited work

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Observation e969eb8e-23ad-4771-964b-850884ea4702 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.398481Z

Source-reported events for the cited work

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Observation 19d42de4-dc7c-44fa-832a-bdc2e2add454 · outbound

This paper cites MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking MambaVT: Spatio-Temporal Contextual Modeling for robust RGB-T Tracking

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T23:54:22.413931Z

Source-reported events for the cited work

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Observation 20290fe2-172f-4fd3-b24f-61287f47b4b0 · outbound

This paper cites Mixformer: End-to-end tracking with it- erative mixed attention.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Mixformer: End-to-end tracking with it- erative mixed attention

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.862730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce6cd389-d828-4caa-a2d6-85337aed8051 · outbound

This paper cites Unified sequence- to-sequence learning for single- and multi-modal visual object tracking,.

Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T Tracking Unified sequence- to-sequence learning for single- and multi-modal visual object tracking,

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:54:22.872694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.