Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Online Reasoning Video Segmentation with Just-in-Time Digital Twins
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.21056.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:36:50.023486Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
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 f169e2b8-5c81-4fbe-ac2d-60900961f162 · inbound
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge cites this paper.
SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T22:45:50.860205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b11dcaa5-146e-49ea-98a6-e58cc519032e · inbound
Position: Foundation Models Need Digital Twin Representations cites this paper.
Position: Foundation Models Need Digital Twin Representations Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:36:50.023486Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e55708a-603f-41ed-aa0a-36ed465d4690 · inbound
RVTBench: A Benchmark for Visual Reasoning Tasks cites this paper.
RVTBench: A Benchmark for Visual Reasoning Tasks Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:51:23.380256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92574bd9-3902-4306-b588-39bf8b41ed14 · inbound
Reasoning Segmentation for Images and Videos: A Survey cites this paper.
Reasoning Segmentation for Images and Videos: A Survey Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:27:17.086609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7367602f-b780-4a2e-a377-645572233744 · inbound
Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective cites this paper.
Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:18:59.787016Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd05d8d1-9c59-4b52-b20d-f345bf1611b3 · inbound
TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research cites this paper.
TwinOR: Photorealistic Digital Twins of Dynamic Operating Rooms for Embodied AI Research Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T23:15:26.598018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c43f7e89-843f-49dd-9e38-9ac858be890a · inbound
Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA cites this paper.
Training LLMs with Reinforcement Learning over Digital Twin Representations for Reasoning-Intensive Surgical VideoQA Online Reasoning Video Segmentation with Just-in-Time Digital Twins
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T17:48:46.252424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.