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Paper Citation Record · LEDGER

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying

As of 22 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2605.24394.

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

pith.paper-citation-record.v1
2605.24394 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T13:30:56.016180Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact4
  • verified fuzzy24
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf0dd17c-f360-4b72-8223-7cf28e54274e · outbound

This paper cites A review of learning-based dynamics models for robotic manipulation.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying A review of learning-based dynamics models for robotic manipulation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.387049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:a5556ea312007b5f38e3bb0e19a182dfbab874aab2017e3c07cad4aedb00a90e

Observation 38e8e562-92e9-4195-8fb2-497c20359e23 · outbound

This paper cites Point set registration: Coherent point drift,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Point set registration: Coherent point drift,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.376323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:812abcd98c3d84bc827a27dc648b8aeeaeeda84edb8a0da2b41e17266f9c4a01

Observation d7be2a4b-6c10-4c06-a1f0-88dd2bca450c · outbound

This paper cites Track deformable objects from point clouds with structure preserved registration,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Track deformable objects from point clouds with structure preserved registration,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.368605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:cf536f96f32e6c23f47747ea862f2ceeb82c1307eaf0e6a73d4145bb4d234d5c

Observation 86dd1a3d-27a4-44b3-9d0d-ec2322788de5 · outbound

This paper cites Trackdlo: Tracking deformable linear objects under occlusion with motion coherence,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Trackdlo: Tracking deformable linear objects under occlusion with motion coherence,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.372285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:4303f2f8a374e5d535c74e474b528e03241e1d53a4734b807979ca7a11a9f84b

Observation ddd0a660-8368-4d10-ae95-0b7f0bc58274 · outbound

This paper cites Fastdlo: Fast deformable linear objects instance segmentation,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Fastdlo: Fast deformable linear objects instance segmentation,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.372506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:21ca3cf2883ec616bdd0c37930d88e123670d7fbb1ecfebf234b9d7640d5e589

Observation 6c99b42c-f517-4e7b-b9fb-4452ca05778f · outbound

This paper cites Deformable one-dimensional object detection for routing and manipulation,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Deformable one-dimensional object detection for routing and manipulation,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.368996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:7cdc46375bd5b23ff5f296b10ef8fe024bbc6c7668a657b7476b736acb70b95d

Observation 52b00902-cc46-4e1e-9019-de2ffde8f2cb · outbound

This paper cites KnotDLO: Toward Interpretable Knot Tying.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying KnotDLO: Toward Interpretable Knot Tying

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:40.323165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:5337ee23a41c974ead4afe56b39451b32c0130a0bbea7d30612ad822a0bdc97e

Observation c98ee33c-4b20-404e-bc14-3a594b717b3c · outbound

This paper cites A framework for manipulating deformable linear objects by coherent point drift,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying A framework for manipulating deformable linear objects by coherent point drift,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.383481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:47c680e841da129e5ecc0ffdea6e30d400a0d0820c19250c0bf008ed71d08147

Observation f28b6dcc-94aa-4b62-b314-85b270541710 · outbound

This paper cites In-air knotting of rope using dual-arm robot based on deep learning,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying In-air knotting of rope using dual-arm robot based on deep learning,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.378224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:7b7e9cf3f7f4662d2b8de77f986d02abb36def47bbcbb41b1980f3666522f460

Observation a850dadd-4a38-4756-a3b1-2c88606ca107 · outbound

This paper cites Combining self-supervised learning and imitation for vision-based rope manipulation,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Combining self-supervised learning and imitation for vision-based rope manipulation,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.388843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:c1daa874afdc83f656da45d4c22ec762cb208be2d4cf5088e80cac5d348f728b

Observation 4778b0fc-d3a3-43b5-81ad-9741af4f6e86 · outbound

This paper cites TieBot: Learning to Knot a Tie from Visual Demonstration through a Real-to-Sim-to-Real Approach.

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:07dedab28ea645577e44fa6d334637daa5817425c2196e92c54fc03a15ecf184

Observation 0b39d33e-5cf6-46a5-b77c-62252f7e4a4a · outbound

This paper cites an unresolved cited work.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-07-09T01:45:51.379700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:8f86a982772c550f9661113bea132adfc47b88c505da68f7ea0bdac8cccf37b4

Observation d95250d4-923a-4ef3-a0bf-920e17cd6a7d · outbound

This paper cites Learning topological motion primitives for knot planning,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Learning topological motion primitives for knot planning,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.386897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:86d7a9afd3a0195e4e76efcf46738c66a33f69a6c5cd13ebbf23f9270e62dbfa

Observation fe0d00ee-cf49-4d0b-901e-f8ebbe62e35b · outbound

This paper cites Shape control of deformable linear objects with offline and online learning of local linear deformation models,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Shape control of deformable linear objects with offline and online learning of local linear deformation models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.391035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:288c4c6732b0d23c59c5823f18367ff0b373dd07d3fc380d6f043f5f24c5a816

Observation 14e81912-5ac5-46a7-8c90-d8e2dac75dd2 · outbound

This paper cites Global model learning for large deformation control of elastic deformable linear objects: An efficient and adaptive approach,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Global model learning for large deformation control of elastic deformable linear objects: An efficient and adaptive approach,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.385230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:36068faf2499ec11545c664a6061162ddbe5ac9379f0d37290e44918e289a595

Observation 1fb6c9ef-d44b-4385-bd9c-13a1bbd6d920 · outbound

This paper cites Ariadne+: Deep learning–based augmented framework for the instance segmentation of wires,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Ariadne+: Deep learning–based augmented framework for the instance segmentation of wires,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.356424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:cca4a18c51f5863089c17f701b2905a4e763bddb402533181255c99d712d6cf9

Observation 5d2b1f77-c30a-4ad7-98f2-5fc03cc69859 · outbound

This paper cites Tracking partially- occluded deformable objects while enforcing geometric constraints,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Tracking partially- occluded deformable objects while enforcing geometric constraints,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.385393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:540b5a128ef6436d37bf40cd6dcd9bc1bb401d22006ffa5c79a98b08a61c335f

Observation 84f1585b-3d58-47a5-93af-e864e2aae940 · outbound

This paper cites DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying DLO-Splatting: Tracking Deformable Linear Objects Using 3D Gaussian Splatting

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:40.317830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:34a8c976b732416b51533c8df33cdf30b37b5c6e0f443fc05ed2c9bb2dac7df7

Observation 4f2cee61-a98c-4f12-a9e1-63bb43958c62 · outbound

This paper cites Knot planning from observation,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Knot planning from observation,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.358493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:5200fd1b9b507436a48f56412038a0c66fed7dbd78759b21588588cbb05b31be

Observation 6704d6cf-0f74-47c1-8910-ea481fd05552 · outbound

This paper cites Dynamic high-speed knotting of a rope by a manipulator,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Dynamic high-speed knotting of a rope by a manipulator,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.379901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:7b7d50c83aed0f0e79c38c87a6e11393c0c6a2f03fd0a844838b4e7fa628e254

Observation 4ded02cd-1efb-4252-9e94-9eaa5d558993 · outbound

This paper cites In-air knotting of rope by a dual-arm multi-finger robot,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying In-air knotting of rope by a dual-arm multi-finger robot,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.388695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:87ea69c40ce140c5754d7b5a1c249810f334062ffb57f00a4737f5ae61fe1a47

Observation 32a5ec4d-23ca-425c-9604-4fef751024dc · outbound

This paper cites Study on tying of a deformable band-shaped object by a dual arm robot,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Study on tying of a deformable band-shaped object by a dual arm robot,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.347290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:c66601e2352cf7d33064bc7471a5d69b48dac09b00590a3903d7e603b30d7f9d

Observation 472a25cd-af76-469e-aff1-e177908c2eb2 · outbound

This paper cites Dbscan revisited, revisited: why and how you should (still) use dbscan,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Dbscan revisited, revisited: why and how you should (still) use dbscan,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.364972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:7f086a51ddcc1b148dcd01b8bdb1de7010a6700e9fc5abbbba16b22e68242cf7

Observation 9ba7df08-ff08-4c02-aa8c-9b0de6ecf1f3 · outbound

This paper cites Offline-online learning of deformation model for cable manipulation with graph neural networks,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Offline-online learning of deformation model for cable manipulation with graph neural networks,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.349881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:688da7e4fc0518fa32bb58ea77aabf4f5142d85cf8f96540f37716c7bbfbae1f

Observation 0ca8d288-d284-44ed-9af6-bad257a9d186 · outbound

This paper cites CaRoBio: 3d cable routing with a bio-inspired gripper fingernail,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying CaRoBio: 3d cable routing with a bio-inspired gripper fingernail,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.354157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:1186c1c7b1edec3c9f586db674c8e88fb48adf86f9bd8d1c4a9ce795cbe48cb1

Observation baf63c3c-3092-4ab9-9b90-e3b43b09b9ff · outbound

This paper cites MediaPipe Hands: On-device Real-time Hand Tracking.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying MediaPipe Hands: On-device Real-time Hand Tracking

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:34:40.320348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:8cd95e7c59afba64c25b47997a8ac2ef77c8015fe5594f950a099e77802e8fae

Observation 201d7a16-dd5d-473e-b66f-a34bb98dae62 · outbound

This paper cites A survey of robot learning from demonstration.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying A survey of robot learning from demonstration

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.374028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:1d17c1862e06cd2dbb72d6fdbfe84db57dfe7f997286b1f67135141bd4593bdf

Observation 22f26237-722a-4fbe-9061-ef10f2b561e4 · outbound

This paper cites Learning rope manipulation policies using dense object descriptors trained on synthetic depth data,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Learning rope manipulation policies using dense object descriptors trained on synthetic depth data,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.378067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:ed238e068ab7cb14be6c9ccf41ea2bee353323aa97bfc2c69213cc3f4170ee8a

Observation 14c75670-76ce-4ede-a41c-6625eee795e5 · outbound

This paper cites Zero-shot visual imitation,.

RoboHitch: Learning Visual Affordance from Disordered Keypoints for Hitch Knots Tying Zero-shot visual imitation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-09T01:45:51.374172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:d0a322415bdffcbdbe81259673e7e6c8157e85096d9bc277fad767f75faab037

Pith citing papers

No inbound Pith citation observations are available.