Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1512.02134.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:09:20.678990Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-02T19:27:18.893811Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 412f0cc2-4a5f-44b7-9e94-305f47558a84 · inbound
Scene Motion Decomposition for Learnable Visual Odometry cites this paper.
Scene Motion Decomposition for Learnable Visual Odometry A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T20:54:54.766251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 5e937268-f9af-4b4c-aff9-fcbedfab3344 · inbound
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses cites this paper.
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:09:20.678990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b4c6cb3-7bd2-4439-838c-3dfe5dc5c322 · inbound
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots cites this paper.
EdgeFlowNet: 100FPS@1W Dense Optical Flow For Tiny Mobile Robots A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:13:54.167979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2688e18f-8c11-411b-8a2c-d3f4a7e8bc4d · inbound
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching cites this paper.
DEFOM-Stereo: Depth Foundation Model Based Stereo Matching A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:06:06.773393Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46eb3d0f-1aeb-4e32-a8cf-b319e8d6d463 · inbound
MegaFlow: Zero-Shot Large Displacement Optical Flow cites this paper.
MegaFlow: Zero-Shot Large Displacement Optical Flow A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T18:01:47.434552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85c8fd4a-0c91-4ac8-976b-f71a95b4ee81 · inbound
SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data cites this paper.
SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T08:15:58.608530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ae394e7a-c9c1-4701-893f-3fc8f3914439 · inbound
SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data cites this paper.
SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T16:35:19.365662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1720b23-5964-4f00-8a3c-d673b93190a0 · inbound
Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating cites this paper.
Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T07:56:00.833576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b6072522-8162-444b-acda-e808eb480437 · inbound
MinNav: Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots cites this paper.
MinNav: Minimalist Navigation Using Optical Flow For Active Tiny Aerial Robots A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T19:27:18.895641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.