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Paper Citation Record · LEDGER

TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.03245.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.03245 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:00.436001Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-07T00:31:00.436001Z digest=sha256:19e9526118e91522959191969403fc4f32eb90f3377a401effba9ba7b7c06428

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:ccbf2be39a6c857fd35bd2585cea20d2663352cb8670efd0ca8e5298419a54fc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T20:38:40.242221Z digest=sha256:20b5cfb3d3f1cfa13bb59a8147fcc074d4bfb216bae23e3eb4ec007e7c90391f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:53:12.335945Z digest=sha256:59d84c858fe73819dabb5f96849437076131228141ab901e74d82f2501b4cdc7