Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:10.443418Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.06748.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:10.443418Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
24 of 24 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 19a82926-2c95-4aa3-bcea-5bd2d73fed26 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation One- shot video object segmentation
Reference 1
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.
Observation d4b009cf-e521-4bee-b322-0214b6f4f35e · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Xmem: Long- term video object segmentation with an atkinson-shiffrin memory model
Reference 2
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.
Observation d25ee1b0-3f5f-43ae-91e3-888e0fe39b4a · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Rethink- ing space-time networks with improved memory coverage for efficient video object segmentation
Reference 3
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.
Observation a1c78d10-fc14-446f-8dac-9c7e340d831f · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Putting the object back into video object segmentation
Reference 4
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.
Observation 941f7b66-6ae6-4f07-8b74-270d4f96a4b5 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Epic-kitchens visor benchmark: Video segmenta- tions and object relations
Reference 5
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.
Observation a1cf217f-134b-4a30-a321-5aeec0587cf2 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation MOSE: A new dataset for video object segmentation in complex scenes
Reference 6
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.
Observation fc2dfb4c-ce12-47bb-9e93-18b824d08f2d · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1102344f-e822-4535-961d-45abdfe6b9f2 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Deep learning for video object segmentation: a review.Artificial Intelligence Review, 56(1):457–531, 2023
Reference 8
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.
Observation c2a2926a-1205-499e-a68b-6ac7e00dc630 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Reference 9
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.
Observation 43f6b820-f8e6-443c-8814-23572813fa5d · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation LVOS: A Benchmark for Large-scale Long-term Video Object Segmentation
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16d95078-7ebb-454b-a0c4-3c27e8b383aa · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Video object segmentation with adaptive feature bank and uncertain-region refinement
Reference 11
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.
Observation 687cdb10-da89-4b1b-b2ee-628cc908583a · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Video object segmentation using space-time memory networks
Reference 12
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.
Observation ff231224-9342-405b-a099-a12e4d4485d3 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Unresolved cited work
Reference 13
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.
Observation ad4e75bf-c6ed-4297-a0c7-36e540a42f4e · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Hd-epic: A highly-detailed egocentric video dataset
Reference 14
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.
Observation e8fba540-06d8-4cbb-bba9-fb6528151569 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation An outlook into the fu- ture of egocentric vision.IJCV, 132(11):4880–4936, 2024
Reference 15
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.
Observation 037fd328-2d0d-4774-8016-4bd121ff6e34 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation The 2017 DAVIS Challenge on Video Object Segmentation
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f98f7708-bbaa-42eb-8627-2d312e3d8eed · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Vi- sion transformers for dense prediction
Reference 17
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.
Observation c84fca61-5c02-477e-9a22-5b40a08f1b92 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation SAM 2: Segment Anything in Images and Videos
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9d641a0-7279-4079-8b35-921d99958325 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Hi- era: A hierarchical vision transformer without the bells-and- whistles
Reference 19
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.
Observation 290196ea-093f-41f3-87bd-c9a12f9af0f8 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation A Distractor-Aware Memory for Visual Object Tracking with SAM2
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 70887bb4-34a3-4fe3-af64-a5ec28897730 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Feelvos: Fast end-to-end embedding learning for video object segmenta- tion
Reference 21
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.
Observation 68d8fad7-d0e9-4b5d-bb39-930d446d4197 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f06af49-3be1-4c6d-b98c-c8c3f86b6ab7 · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8407f388-274e-47a0-91f8-bb5cbced8cab · outbound
THU-Warwick Submission for EPIC-KITCHEN Challenge 2025: Semi-Supervised Video Object Segmentation Depth Anything V2
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.