Paper Citation Record · LEDGER

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2412.16745.

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

pith.paper-citation-record.v1
2412.16745 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:18:31.190506Z

measured 40 of 40 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

40 of 40 outbound references displayed

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verified fuzzy29
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c653445a-529e-48a1-8c34-909e16cb4144 · outbound

This paper cites Literature survey on stereo vision disparity map algorithms,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Literature survey on stereo vision disparity map algorithms,

Reference 1

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Source-reported events for the cited work

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Observation 29d8c9cf-ec95-4b3c-9f4b-855fbed3b6b5 · outbound

This paper cites A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation A taxonomy and evaluation of dense two-frame stereo correspondence algorithms,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.577543Z

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

Observation 26606a07-24a6-4e75-98f7-42f22abbe71a · outbound

This paper cites Learning for disparity estimation through feature constancy,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Learning for disparity estimation through feature constancy,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.565368Z

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Observation e4946e73-4a30-4a19-b28e-52e77754b138 · outbound

This paper cites Stereo matching algorithm based on deep learning: A survey,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Stereo matching algorithm based on deep learning: A survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.467101Z

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Observation f1bf7bec-047b-43d6-b4e9-e4534105cd2f · outbound

This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.360064Z

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Observation 2e72bb34-3695-4c39-99a7-6bba50229c9e · outbound

This paper cites Pyramid stereo matching network,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Pyramid stereo matching network,

Reference 6

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Source-reported events for the cited work

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Observation 066a3ed9-6317-41e5-abd5-b621fff1a228 · outbound

This paper cites Stereonet: Guided hierarchical refinement for real-time edge- aware depth prediction,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Stereonet: Guided hierarchical refinement for real-time edge- aware depth prediction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.339399Z

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Observation 934db2fa-8daa-4a60-a8a3-c64f73073921 · outbound

This paper cites Edgestereo: A context integrated residual pyramid network for stereo matching,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Edgestereo: A context integrated residual pyramid network for stereo matching,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.226429Z

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Observation 07733d26-ebd5-49f9-ae5a-a9e83f210a42 · outbound

This paper cites Anytime stereo image depth estimation on mobile devices,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Anytime stereo image depth estimation on mobile devices,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.213789Z

Source-reported events for the cited work

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Observation 931551e3-96c6-4a69-8f45-1409696fa6c9 · outbound

This paper cites Pcw-net: Pyramid combination and warping cost volume for stereo matching,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Pcw-net: Pyramid combination and warping cost volume for stereo matching,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.200371Z

Source-reported events for the cited work

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Observation 809faf4b-faef-468d-ab60-0eba90bb5c62 · outbound

This paper cites Digging into uncertainty in self-supervised multi-view stereo,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Digging into uncertainty in self-supervised multi-view stereo,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:32.046331Z

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Observation 4c5a13cf-e4d8-40bb-bca4-e29b8d6a67a7 · outbound

This paper cites H-net: Un- supervised attention-based stereo depth estimation leveraging epipolar geometry,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation H-net: Un- supervised attention-based stereo depth estimation leveraging epipolar geometry,

Reference 12

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Observation 98fd86a3-5045-4d43-9bd0-e19c1c94a6e5 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for opti- cal flow,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Raft: Recurrent all-pairs field transforms for opti- cal flow,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.890171Z

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Observation 92c8c031-153c-44fe-ba7d-afdc3dfb5d23 · outbound

This paper cites Iterative geometry encoding volume for stereo matching,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Iterative geometry encoding volume for stereo matching,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.877661Z

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Observation 444c9645-edee-420b-8126-4a6c4b97f468 · outbound

This paper cites Unifying flow, stereo and depth estimation,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Unifying flow, stereo and depth estimation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.865047Z

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Observation f97012eb-0fbc-4d09-a4bd-ecdd9bf93785 · outbound

This paper cites Deep learning for monocular depth estimation: A review,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Deep learning for monocular depth estimation: A review,

Reference 16

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Observation 327ddad6-5b86-43e9-aaf7-62cafb9a420a · outbound

This paper cites Monocular depth estimation using deep learning: A review,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Monocular depth estimation using deep learning: A review,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.841307Z

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Observation 37a46a70-15c3-4f46-9680-16402198cce7 · outbound

This paper cites Seeing in 3-d with just one eye: Stereopsis without binocular vision,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Seeing in 3-d with just one eye: Stereopsis without binocular vision,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.824858Z

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Observation 5442b99f-5ca9-4cbf-a347-6cbf2d7f3739 · outbound

This paper cites Recent advancement in 3d biometrics using monocular camera,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Recent advancement in 3d biometrics using monocular camera,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.687556Z

Source-reported events for the cited work

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Observation ba4616bc-08c8-41b8-a932-7fcc94ff7d3d · outbound

This paper cites Depth-guided robust face morphing attack detection,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Depth-guided robust face morphing attack detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.674006Z

Source-reported events for the cited work

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Observation f0b18176-5c11-4bda-a17d-ed8eb68e5eae · outbound

This paper cites Learning monocular depth estimation infusing traditional stereo knowledge,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Learning monocular depth estimation infusing traditional stereo knowledge,

Reference 21

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Observation 273558f4-2b9b-46b2-a587-16befe50be1f · outbound

This paper cites Efficient disparity map generation for moving multi-camera system using tof depth sensor,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Efficient disparity map generation for moving multi-camera system using tof depth sensor,

Reference 22

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Observation 564c11e1-6d8a-4ec2-8c7f-46485521fbaf · outbound

This paper cites Monocular vision with deep neural networks for autonomous mobile robots navigation,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Monocular vision with deep neural networks for autonomous mobile robots navigation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.633607Z

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Observation ff36b6c1-9bf8-4e7e-87cd-11cfa62bb4d8 · outbound

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

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 24

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This paper cites Attention concatenation volume for accurate and efficient stereo matching,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Attention concatenation volume for accurate and efficient stereo matching,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.598479Z

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This paper cites Improvement of anynet- based end-to-end phased binocular stereo matching network,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Improvement of anynet- based end-to-end phased binocular stereo matching network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.560995Z

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Observation 7eadda3f-5e0d-4bee-bbfd-1003a9c9f6aa · outbound

This paper cites Real-time stereo matching network based on 3d channel and disparity attention for edge devices toward autonomous driving,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Real-time stereo matching network based on 3d channel and disparity attention for edge devices toward autonomous driving,

Reference 27

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Observation 40e0ffa5-c58c-4bfc-b212-313b481853ad · outbound

This paper cites Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices

Reference 28

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This paper cites Hierarchical deep stereo matching on high-resolution images,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Hierarchical deep stereo matching on high-resolution images,

Reference 29

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Observation 7819c8f4-c344-4cc2-8021-294c1e58b9b2 · outbound

This paper cites Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency

Reference 30

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This paper cites Mvs2: Deep unsupervised multi-view stereo with multi-view symmetry,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Mvs2: Deep unsupervised multi-view stereo with multi-view symmetry,

Reference 31

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This paper cites Progressive fusion for unsupervised binocular depth estimation using cycled networks,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Progressive fusion for unsupervised binocular depth estimation using cycled networks,

Reference 32

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This paper cites Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Hitnet: Hierarchical iterative tile refinement network for real-time stereo matching,

Reference 33

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This paper cites Raft-stereo: Multilevel recurrent field transforms for stereo matching,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Raft-stereo: Multilevel recurrent field transforms for stereo matching,

Reference 34

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This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 35

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Source-reported events for the cited work

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Observation 09178eed-af89-4d59-b311-cebb530939c4 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 36

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This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 37

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Observation d00c4199-8fbc-49a4-8ab5-dfcc22a8bafd · outbound

This paper cites Vision meets robotics: The kitti dataset,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Vision meets robotics: The kitti dataset,

Reference 38

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This paper cites A naturalistic open source movie for optical flow evaluation,.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation A naturalistic open source movie for optical flow evaluation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T10:18:31.464696Z

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Observation 2e4c8a07-d6ec-471c-ace5-1ad9c865048d · outbound

This paper cites Virtual KITTI 2.

ViM-Disparity: Bridging the Gap of Speed, Accuracy and Memory for Disparity Map Generation Virtual KITTI 2

Reference 40

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Pith citing papers

No inbound Pith citation observations are available.