Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.03245.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:47:16.400227Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:10:07.668178Z
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 822a926f-3797-4457-b5d9-8a6bc3e90c2e · inbound
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments cites this paper.
RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:47:16.400227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ebf5b5aa-ea9d-4b20-96bc-ddb5d0692037 · inbound
Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins cites this paper.
Prompting with the Future: Open-World Model Predictive Control with Interactive Digital Twins TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:31:00.436001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4778b0fc-d3a3-43b5-81ad-9741af4f6e86 · inbound
RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying cites this paper.
RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:34:40.326205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a10f279e-1d62-4f1b-8e52-52160173ea8b · inbound
DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning cites this paper.
DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:10:07.670390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 17ef69f7-765b-4c5f-8d11-aaaf5bdba3b7 · inbound
DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning cites this paper.
DeformGen: Dynamics-Based Topology Augmentation for Deformable Manipulation Policy Learning TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:13:53.014591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.