Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:1809.03327.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T05:28:44.443964Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T02:04:26.310872Z
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 2837349d-c4e8-4805-a500-0a3923168857 · inbound
Understanding Deep Learning Techniques for Image Segmentation cites this paper.
Understanding Deep Learning Techniques for Image Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 209
- Resolution
- verified exact
- local_arxiv, observed 2026-05-24T21:46:24.412506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04a1d9c5-c254-41c2-a2bf-a600c88c39cf · inbound
SAM 2: Segment Anything in Images and Videos cites this paper.
SAM 2: Segment Anything in Images and Videos YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:56:25.466836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2acf683e-3971-46fc-aa0c-9921b207226e · inbound
Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline cites this paper.
Towards a General-Purpose Zero-Shot Synthetic Low-Light Image and Video Pipeline YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T20:22:03.834071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 828246b3-e0a2-46a8-9800-d6a586a05c89 · inbound
SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning cites this paper.
SIV-Bench: A Video Benchmark for Social Interaction Understanding and Reasoning YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T11:37:15.726369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 71a37c2a-352c-4fdc-a98e-6d621cf2c18d · inbound
FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases cites this paper.
FlowSeek: Optical Flow Made Easier with Depth Foundation Models and Motion Bases YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 89
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:28:44.443964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0042d06-6297-4269-8993-09d056fa8d71 · inbound
SAM 2++: Tracking Anything at Any Granularity cites this paper.
SAM 2++: Tracking Anything at Any Granularity YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T19:54:20.151923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a3a3a651-84f5-40b2-8a68-ded2354c8081 · inbound
SAM 3: Segment Anything with Concepts cites this paper.
SAM 3: Segment Anything with Concepts YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 145
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:25:11.536644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 54a755de-dd47-4e30-9ba1-9fcb5002d239 · inbound
Recurrent Video Masked Autoencoders cites this paper.
Recurrent Video Masked Autoencoders YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T21:58:35.816176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ccd8cf70-8809-4803-b303-04f07816ea3f · inbound
Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models cites this paper.
Backdoor Attacks on Prompt-Driven Video Segmentation Foundation Models YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T19:11:11.665827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a3327468-b513-46c3-aa64-ded663dcb682 · inbound
3AM: 3egment Anything with Geometric Consistency in Videos cites this paper.
3AM: 3egment Anything with Geometric Consistency in Videos YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 92
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T14:21:01.642414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d7c2b68-6663-4bd6-9907-afd4a0d487fc · inbound
FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow cites this paper.
FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T16:08:30.031334Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fea0e949-68d5-4197-bd0c-53d3439aed35 · inbound
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation cites this paper.
PanoSAM2: Lightweight Distortion- and Memory-aware Adaptions of SAM2 for 360 Video Object Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 36
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T00:30:55.265816Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b41aa70-6c34-4efd-b843-4fb0c7de53ad · inbound
CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation cites this paper.
CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T11:51:01.038342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6c9c2355-208c-4954-b29e-859f2564987a · inbound
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners cites this paper.
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:51:24.798782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 060bc62b-c9bf-4756-a4a0-2f6b6e69e453 · inbound
YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal cites this paper.
YOSE: You Only Select Essential Tokens for Efficient DiT-based Video Object Removal YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T09:46:27.935892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2cb0fd27-26fd-4a0c-a948-00e046bcd75b · inbound
X2SAM: Any Segmentation in Images and Videos cites this paper.
X2SAM: Any Segmentation in Images and Videos YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:01:05.428048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8dc0410c-3933-4020-96a4-8c8d736e2788 · inbound
VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing cites this paper.
VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:06:22.357494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 19766d70-a65c-4db4-90d9-718cd387a5f0 · inbound
VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing cites this paper.
VEBench:Benchmarking Large Multimodal Models for Real-World Video Editing YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:46:13.949720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73302bf2-b071-4a48-9048-9338e3dbac4c · inbound
Robust Promptable Video Object Segmentation cites this paper.
Robust Promptable Video Object Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:22:29.355364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f75d5859-c275-486b-a021-7cdec648e0e4 · inbound
Functionalization via Structure Completion and Motion Rectification cites this paper.
Functionalization via Structure Completion and Motion Rectification YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 281
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-20T12:28:17.069803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4ec12bb2-e568-476f-aa53-3df3d84aa9b5 · inbound
A Trajectory-Driven Spatio-Temporal Refinement Solution for CVPR 2026 8th UG2+ Challenge Track 3: DOST cites this paper.
A Trajectory-Driven Spatio-Temporal Refinement Solution for CVPR 2026 8th UG2+ Challenge Track 3: DOST YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T19:42:35.941042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 93fef265-98ed-4c22-85ce-b1e4f2291e93 · inbound
MG-RWKV: Multi-Grained Context-Aware RWKV for Temporal Forgery Localization cites this paper.
MG-RWKV: Multi-Grained Context-Aware RWKV for Temporal Forgery Localization YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 46
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T14:07:02.278608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ba25135d-c025-4de1-b363-f149987afac8 · inbound
STAC: Selective Spatiotemporal Aggregation and Compression for Video Reasoning Segmentation cites this paper.
STAC: Selective Spatiotemporal Aggregation and Compression for Video Reasoning Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:06:47.233814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5faf9b26-e55b-462f-b2cc-1f560eaf1362 · inbound
Vision Pretraining for Dense Spatial Perception cites this paper.
Vision Pretraining for Dense Spatial Perception YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 56
- Resolution
- verified exact
- local_arxiv, observed 2026-07-07T22:24:11.145551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c3047a0-4581-474b-adb6-3e7fdf800106 · inbound
Vision as Unified Multimodal Generation cites this paper.
Vision as Unified Multimodal Generation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 197
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T02:04:26.312361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f6a1186f-f177-43b6-91e8-07412c4b0314 · inbound
PercepCap: Video Captioner with Structured Spatio-Temporal Perception cites this paper.
PercepCap: Video Captioner with Structured Spatio-Temporal Perception YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:02:03.252658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35b55820-2081-4f19-8147-b4dd6e62b70f · inbound
Self-Supervised Learning of Structured Dynamics from Videos cites this paper.
Self-Supervised Learning of Structured Dynamics from Videos YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:07:43.997932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.