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Paper Citation Record · LEDGER

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties

As of 7 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.00324.

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

pith.paper-citation-record.v1
2506.00324 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:41.063557Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

31 of 31 outbound references displayed

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  • unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f1f6f4e-702a-4582-b570-adb7834beddf · outbound

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

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties A naturalistic open source movie for optical flow evaluation

Reference 1

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 859fff14-d585-48fe-b11a-98a2e8a53fb0 · outbound

This paper cites Temporal hockey action recognition via pose and optical flows.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Temporal hockey action recognition via pose and optical flows

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 8f365daa-6e51-4ea2-abd2-9955d8d770bc · outbound

This paper cites Flownet: Learning optical flow with convolutional networks.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Flownet: Learning optical flow with convolutional networks

Reference 3

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 521661df-5d73-4f54-8277-420aded15da9 · outbound

This paper cites Vision meets robotics: The kitti dataset.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Vision meets robotics: The kitti dataset

Reference 4

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Source-reported events for the cited work

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Observation 48e26312-ef82-4d26-990e-b9300c22212d · outbound

This paper cites Flowformer: A transformer architecture for optical flow.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Flowformer: A transformer architecture for optical flow

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9eaf7688-4c18-4e91-b9e5-de6a87daad65 · outbound

This paper cites Liteflownet3: Resolv- ing correspondence ambiguity for more accurate optical flow estimation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Liteflownet3: Resolv- ing correspondence ambiguity for more accurate optical flow estimation

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 74215b98-e25f-40ec-8e4f-76fdaf1a33d0 · outbound

This paper cites Distractflow: Improving optical flow estimation via real- istic distractions and pseudo-labeling.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Distractflow: Improving optical flow estimation via real- istic distractions and pseudo-labeling

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c7025d1b-4ffa-43dc-a404-708d2d58e1a5 · outbound

This paper cites Ocai: Improving optical flow estimation by occlusion and consistency aware interpolation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Ocai: Improving optical flow estimation by occlusion and consistency aware interpolation

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3830ac24-aaf7-4227-97e7-5ee1f3d345ba · outbound

This paper cites Learning to estimate hidden motions with global motion aggregation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Learning to estimate hidden motions with global motion aggregation

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4ed7f42f-ef6e-49a9-8cc3-9694f796e3f9 · outbound

This paper cites What matters in unsupervised optical flow.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties What matters in unsupervised optical flow

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 84944613-d0f3-4308-8ddf-3a06b567d104 · outbound

This paper cites Moving object tracking using optical flow and motion vector estima- tion.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Moving object tracking using optical flow and motion vector estima- tion

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 66824869-d77e-4505-bc95-c1cf6e8146bd · outbound

This paper cites Dy- namicstereo: Consistent dynamic depth from stereo videos.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Dy- namicstereo: Consistent dynamic depth from stereo videos

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3ae136b1-b94b-4cfe-98bf-51cc13e689be · outbound

This paper cites The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties The hci benchmark suite: Stereo and flow ground truth with uncertainties for urban autonomous driv- ing

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 15f8a039-aaa6-4274-8414-6a49e7002b81 · outbound

This paper cites Ifrnet: Intermediate feature refine network for efficient frame interpolation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Ifrnet: Intermediate feature refine network for efficient frame interpolation

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e0bd9771-871d-4465-bfd1-bbe17c869586 · outbound

This paper cites Motion feature network: Fixed motion filter for action recognition.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Motion feature network: Fixed motion filter for action recognition

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 9149aee4-6fef-486b-bfbe-b1e011654248 · outbound

This paper cites Practical stereo matching via cascaded re- current network with adaptive correlation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Practical stereo matching via cascaded re- current network with adaptive correlation

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6a970e09-0185-4814-b349-80c48a4d10a5 · outbound

This paper cites Amt: All-pairs multi-field transforms for efficient frame interpolation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Amt: All-pairs multi-field transforms for efficient frame interpolation

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 993af87f-82f0-4e38-be89-ddea1a49b0c8 · outbound

This paper cites Sciflow: Empowering lightweight optical flow models with self-cleaning iterations.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Sciflow: Empowering lightweight optical flow models with self-cleaning iterations

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 860c8728-eea2-4690-8857-960da1983a4b · outbound

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

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Raft-stereo: Multilevel recurrent field transforms for stereo matching

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e3092b25-ff2f-4b9d-97aa-c65349aae4c4 · outbound

This paper cites Dvc: An end-to-end deep video com- pression framework.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Dvc: An end-to-end deep video com- pression framework

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f1baf6aa-18f3-4c32-87b8-f7cdf96e69ad · outbound

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

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 749c3902-032c-4181-b3b0-a56b3cf82902 · outbound

This paper cites Unflow: Un- supervised learning of optical flow with a bidirectional cen- 9 sus loss.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Unflow: Un- supervised learning of optical flow with a bidirectional cen- 9 sus loss

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d0a53623-d3c1-4df4-8494-84c33bc5c1d3 · outbound

This paper cites Object scene flow for autonomous vehicles.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Object scene flow for autonomous vehicles

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:43.507409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 64ca3fa4-cf52-46e8-86b6-750dc13084b6 · outbound

This paper cites High-resolution stereo datasets with subpixel-accurate ground truth.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties High-resolution stereo datasets with subpixel-accurate ground truth

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5e728da2-1c27-41cb-af9f-823f89802d05 · outbound

This paper cites A multi-view stereo benchmark with high- resolution images and multi-camera videos.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties A multi-view stereo benchmark with high- resolution images and multi-camera videos

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:42.880298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3ad00d20-12da-45ed-8690-fd8c4fe42f97 · outbound

This paper cites Fixmatch: Simplifying semi-supervised learning with consistency and confidence.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Fixmatch: Simplifying semi-supervised learning with consistency and confidence

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:40.311233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:40.311233Z digest=sha256:e72a8ddf00849802f219aeffb08588ef3532a6b0e67590e1979296bb8a0704bf

Observation c0e2a142-5125-4679-880b-ad2c9a54170a · outbound

This paper cites Smurf: Self-teaching multi- frame unsupervised raft with full-image warping.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Smurf: Self-teaching multi- frame unsupervised raft with full-image warping

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:42.636748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3dcc53b5-5dc9-4cb1-bd77-25fbefd9308a · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Raft: Recurrent all-pairs field transforms for optical flow

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:42.330974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation df84d43f-bfd2-4dcb-9821-c8d78b817e0a · outbound

This paper cites Video compression through image interpolation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Video compression through image interpolation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:42.043607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 11fc860b-dd8e-477d-b350-995583d9b6ad · outbound

This paper cites Separable flow: Learning motion cost volumes for optical flow estimation.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Separable flow: Learning motion cost volumes for optical flow estimation

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:41.721330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:11:40.914507Z digest=sha256:95f2424b929932c0f3b99da661e5eb0fa2cdd9d611b93645c42f0eaea2fec684

Observation e210048d-b831-440f-9ca8-1ec5f093a1c1 · outbound

This paper cites Maskflownet: Asymmetric feature matching with learnable occlusion mask.

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties Maskflownet: Asymmetric feature matching with learnable occlusion mask

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:11:41.362677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.