Paper Citation Record · LEDGER

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model

As of 23 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.21851.

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

pith.paper-citation-record.v1
2506.21851 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:07.679682Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ebf50d7-b002-4fc8-b9ab-cdd373b4232e · outbound

This paper cites Cross-modality paired-images generation for rgb-infrared person re-identification,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Cross-modality paired-images generation for rgb-infrared person re-identification,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:11.377763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6150fb1-d0dc-460e-b19f-9fd46eac4e40 · outbound

This paper cites Tfdet: Target-aware fusion for rgb-t pedestrian detection,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Tfdet: Target-aware fusion for rgb-t pedestrian detection,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:11.167622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b51b9d73-df41-45b7-a192-c5b9a453c5ff · outbound

This paper cites Insanet: Intra-inter spectral attention network for effective feature fusion of multispectral pedestrian detection,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Insanet: Intra-inter spectral attention network for effective feature fusion of multispectral pedestrian detection,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:10.992359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 947e260d-c6fb-474c-a8e6-3e8b9152d223 · outbound

This paper cites Rgb- infrared cross-modality person re-identification via joint pixel and feature alignment,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Rgb- infrared cross-modality person re-identification via joint pixel and feature alignment,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:10.833478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fdba50f0-8fc2-4404-956b-caae51478a04 · outbound

This paper cites End-to-end Optimized Image Compression.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model End-to-end Optimized Image Compression

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:06.056881Z

Source-reported events for the cited work

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Observation 8ff35b01-4514-4425-8b6d-7ed2eaca445e · outbound

This paper cites Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Learned image com- pression with discretized gaussian mixture likelihoods and attention modules,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:10.621323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 97069eb8-e2c5-4b4f-b64c-f2c301cc04bf · outbound

This paper cites Coarse-to-fine hyper-prior modeling for learned image compression,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Coarse-to-fine hyper-prior modeling for learned image compression,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:10.394767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e633ea0-85c7-4230-83b7-761cdc004b59 · outbound

This paper cites Transformer-based transform coding,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Transformer-based transform coding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:10.110387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ab76156-25ec-4ebb-b880-3761aaf65a1d · outbound

This paper cites Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Elic: Efficient learned image compression with unevenly grouped space- channel contextual adaptive coding,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.809946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation aa8e60f5-3f84-41a3-8125-28ebfc1e9dea · outbound

This paper cites Mlic: Multi-reference entropy model for learned image compression,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Mlic: Multi-reference entropy model for learned image compression,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.595031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f13294ef-4960-4fa1-9147-293dbc7f19d7 · outbound

This paper cites Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.419280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2714d726-e7be-44f2-9003-bf170ec934b7 · outbound

This paper cites End-to-end rgb-d image compression via exploiting channel-modality redundancy,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model End-to-end rgb-d image compression via exploiting channel-modality redundancy,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.327426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 15eaf305-e913-47fd-bb39-d3f435ae8a47 · outbound

This paper cites Learning based multi-modality image and video compression,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Learning based multi-modality image and video compression,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.250713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c672740b-c9b0-42e4-a9f2-131497dd1f04 · outbound

This paper cites Multispectral Deep Neural Networks for Pedestrian Detection.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Multispectral Deep Neural Networks for Pedestrian Detection

Reference 14

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Source-reported events for the cited work

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Observation 931fb4da-475e-4f7e-92ad-6e84940b98b0 · outbound

This paper cites Removal and selection: Improving rgb-infrared object detection via coarse-to-fine fusion,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Removal and selection: Improving rgb-infrared object detection via coarse-to-fine fusion,

Reference 15

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Source-reported events for the cited work

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Observation 2d0b47fa-477c-4da1-8100-06944f4ca193 · outbound

This paper cites Llvip: A visible-infrared paired dataset for low-light vision,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Llvip: A visible-infrared paired dataset for low-light vision,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.158830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f9d9f10-eef7-4c57-95ba-6ce75d3d6ae6 · outbound

This paper cites Kaist multi-spectral day/night data set for autonomous and assisted driving,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Kaist multi-spectral day/night data set for autonomous and assisted driving,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:09.050378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f98039b-25dc-4abd-903a-702c29597ff4 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:06.950576Z

Source-reported events for the cited work

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Observation 5c26fb35-9308-4913-aa4b-b4564d96dd2e · outbound

This paper cites Joint autoregressive and hierarchical priors for learned image compression,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Joint autoregressive and hierarchical priors for learned image compression,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.915894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f50e67fb-eb80-46b5-89dd-675320caeaba · outbound

This paper cites Channel-wise autoregressive entropy models for learned image compression,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Channel-wise autoregressive entropy models for learned image compression,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.675604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9f1248b9-0853-41c5-afc1-65b634681bf1 · outbound

This paper cites Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.470736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 500c4065-a29a-47e7-9705-8fb0acdab4d4 · outbound

This paper cites Agent attention: On the integration of softmax and linear attention,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Agent attention: On the integration of softmax and linear attention,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.356758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b4064c5-7c1e-4d92-81c2-1fdfd2b44174 · outbound

This paper cites Flatten transformer: Vision transformer using focused linear attention,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Flatten transformer: Vision transformer using focused linear attention,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.243683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce377147-b557-4ddb-818e-e505d4317c1f · outbound

This paper cites Bpg image format,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Bpg image format,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.138054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4358050a-76d9-46c9-9ebe-56c54eb262a0 · outbound

This paper cites Calculation of average psnr differences between rd- curves,.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model Calculation of average psnr differences between rd- curves,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:23:08.024308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 38f5fa96-6e4e-4c9d-b485-997fcb1d68fd · outbound

This paper cites CompressAI: a PyTorch library and evaluation platform for end-to-end compression research.

End-to-End RGB-IR Joint Image Compression With Channel-wise Cross-modality Entropy Model CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:07.679682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.