Paper Citation Record · LEDGER

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.20326.

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

pith.paper-citation-record.v1
2607.20326 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:12:03.269851Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

24 of 24 outbound references displayed

verified exact0
verified fuzzy0
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation af647eed-eefb-4003-92f7-99b70cceea4f · outbound

This paper cites Dcanet: Differential convolution attention network for rgb-d semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Dcanet: Differential convolution attention network for rgb-d semantic segmentation,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.200997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28aaa90c-5ba0-42e5-91ed-f876bbcecdbf · outbound

This paper cites Esenet-d: Efficient semantic segmentation for rgb-depth food images,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Esenet-d: Efficient semantic segmentation for rgb-depth food images,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.326490Z

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Observation 61eeb62e-85a3-4cdb-ae4b-6e3dfd9fa647 · outbound

This paper cites Asymformer: Asymmetrical cross-modal representation learning for mobile platform real-time rgb-d semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Asymformer: Asymmetrical cross-modal representation learning for mobile platform real-time rgb-d semantic segmentation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.445784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2b10c52-679f-4fc7-b6b9-0e3fab6e3130 · outbound

This paper cites Non-local aggregation for rgb-d semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Non-local aggregation for rgb-d semantic segmentation,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.569122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9636d6ff-9f31-400c-a4db-5fbb918a5784 · outbound

This paper cites Acnet: Attention based network to exploit complementary features for rgbd semantic seg- mentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Acnet: Attention based network to exploit complementary features for rgbd semantic seg- mentation,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.695419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb102586-ead6-434e-b382-6bf681017311 · outbound

This paper cites A brief survey on rgb-d semantic segmentation using deep learning,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout A brief survey on rgb-d semantic segmentation using deep learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.805895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22237cb4-84c0-4509-b85b-8ffb54b59ce5 · outbound

This paper cites Depth-aware cnn for rgb-d segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Depth-aware cnn for rgb-d segmentation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:01.926845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8443c4-ed96-4330-ba64-8bac2e3a061f · outbound

This paper cites Learning rich features from rgb-d images for object detection and segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Learning rich features from rgb-d images for object detection and segmentation,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.103275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58912301-efe1-497a-90e8-ccec4692afd0 · outbound

This paper cites Spcformer: spatial perception correction transformer for semantic segmentation of scene parsing: F. lu et al.,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Spcformer: spatial perception correction transformer for semantic segmentation of scene parsing: F. lu et al.,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.147568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e06f066a-25ca-43bd-ab96-b33ad8c92538 · outbound

This paper cites Fully convolu- tional networks for semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Fully convolu- tional networks for semantic segmentation,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.316148Z

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Unavailable: canonical work link unavailable.

Observation 6b3ccb3d-ba95-46e6-84df-4f9750c12040 · outbound

This paper cites U-net: Convo- lutional networks for biomedical image segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout U-net: Convo- lutional networks for biomedical image segmentation,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.458486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ad92f00-daf7-4498-9957-45a492eee752 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.670099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49c23a5-5ea9-4026-93f6-a76010b781b0 · outbound

This paper cites Benchmarking multi-modal semantic segmentation under sensor fail- ures: Missing and noisy modality robustness,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Benchmarking multi-modal semantic segmentation under sensor fail- ures: Missing and noisy modality robustness,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.878927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 819528b1-5906-4b15-bd53-b322372d1d6c · outbound

This paper cites Missing modality robustness in semi-supervised multi-modal semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Missing modality robustness in semi-supervised multi-modal semantic segmentation,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:02.938117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf907e2-0c01-4c3c-8207-c230a9a41157 · outbound

This paper cites Mask- mentor: Unlocking the potential of masked self-teaching for missing modality rgb-d semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Mask- mentor: Unlocking the potential of masked self-teaching for missing modality rgb-d semantic segmentation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.008485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 212125e2-ccfb-45a6-9254-c61ba310c426 · outbound

This paper cites Mmpl-seg: Prompt learning with missing modalities for medical segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Mmpl-seg: Prompt learning with missing modalities for medical segmentation,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.092642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d890958-81e6-44a4-b2ce-67cc98507de0 · outbound

This paper cites Towards robust multimodal sentiment analysis under uncertain signal missing,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Towards robust multimodal sentiment analysis under uncertain signal missing,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.139809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9e1a2cd-1efd-42d9-a0fe-2a46f41f5322 · outbound

This paper cites Mitigating modality discrepancies for rgb-t semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Mitigating modality discrepancies for rgb-t semantic segmentation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.169044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8ff11fb-8034-4531-ab01-4f999d284df1 · outbound

This paper cites Cola: Conditional dropout and language-driven robust dual-modal salient object detection,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Cola: Conditional dropout and language-driven robust dual-modal salient object detection,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.181709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca51251e-a332-4b6a-b682-3094021bd265 · outbound

This paper cites Adding conditional control to text-to-image diffusion models,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Adding conditional control to text-to-image diffusion models,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.232313Z

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Unavailable: canonical work link unavailable.

Observation 4d790484-a4ac-449d-9b3d-620fad219e58 · outbound

This paper cites Indoor segmentation and support inference from rgbd images,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Indoor segmentation and support inference from rgbd images,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.255339Z

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Unavailable: canonical work link unavailable.

Observation 217e4c19-3fc9-4b8c-aa0d-aafeee331d3c · outbound

This paper cites Sun rgb-d: A rgb-d scene understanding benchmark suite,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Sun rgb-d: A rgb-d scene understanding benchmark suite,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.260114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e62da8a-dd83-4759-8b69-4507ec00af44 · outbound

This paper cites DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.265043Z

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Unavailable: canonical work link unavailable.

Observation 24ad7f13-ea78-4737-93c9-c16e16c1b885 · outbound

This paper cites Sigma: Siamese mamba network for multi-modal semantic segmentation,.

Toward Reliable RGB-D Semantic Segmentation: Handling Missing Modalities via Condition Dropout Sigma: Siamese mamba network for multi-modal semantic segmentation,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T10:12:03.269851Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.