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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:c75fdf88a3e907ceaa8916c80dac421963ef2daaaa5d526315f7d6e8b70e88ef

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:4f55c470e16d1d1714b4d2628c4b9a62a54bb66c392aaa755a034e1e55d61748

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:761f51f73d4519338b900b635728610786e0f8b0109075c51b72a3d3570a9465

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:0c61cf50204f0658476110b0d458b0a62bc23759f13d61329b27ebc557acaa04

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:264a70b33bfe81b578135b8c5f54172491e8ae5061451c7148eb240ef221266a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:43d4a84076a8b076a08103a7d5c10b8b1a826e10f7d9e6cc6100a27007481a29

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:971959f1562f942dca91f848704bebc35bc8dcd7f0000843043b852df818923a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:efc81b58f5e37d842547046f5b5a1b4ef7a21147b62c56734eab7e6e5729e304

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:1c64617bc7d565b2cb58b029a8b0fab18ec823494e148edf14333bc411fff803

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:5f198608a3b45f8787d09911ba6dee15eeb2c01e759c1387a485797252d6b4c2

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:09e3c5fa85a77cc378d2ff35a26675d6e8306b5c020adfada76e52f3562394c9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:fa5852606d7b9c6d39f8793b8f4b5ceabfbade14277885040e55ff35ad678c4e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:34ee8fc9bf94bdf9404bcb5a4540e7ff33884d9b634fd730ca99d88300f78758

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:9ac4481e70236e1f6c8fae56fa0008287896ad1683926fd892feb3e5ec1fd343

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:ce96057357fa862e37bc0271d81e638498713db46024b8ddaf1accebb02e5f20

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:035715b0fe3f4bdc250114ed4ed2215ade026d831c71fb251676ed32547eeac8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:cb79598474d7feb64fedf951791173c6b9f2c19720a4665b98b7a11bf61acdb4

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:689254e52b9ec0a9863d1e52741191c823ad1092350fd5db6ad3c7e474951b42

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:3efa689e47f172534805ba96f4267743c160abf28c651698ffe1a1fe48e69080

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:4f511d2b399395b920d596c2428c59ca087100078a88143cb2c645924bedf1cb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:6f19f9f7941a713bd9df207bb8ab1348d4a5211682941988af4c86ba38575533

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:4187f4f2c693ffb618c7da2502c8f2aa119afcc8bf8ee0f49d20c3f6f78f0f42

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:f4ea104dd6dd9b7f8a7777c5627a9cd09ba05cef46fac0867cea8330eec7f296

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:c0431a233490d02d7b7ca5b5d0b1dfc4f8a895eff65822ae2dd7fc3f9f4f2cd7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:31d1a476fd84afca923ed4e85cff3ae440dea4d7a0509f7f021e0ae2bb6144a9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:db179b96213f1daa56d79484abb3d61588a8dd7a4421b25324979e9cd07365ad

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:b9dc083a950d0b1b15b8f4337913131dd72f1725c582e6e7f90328f4d6fe2571

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:cbbe9a0b06488d942d267fee130c371e5eeaeb76e78b932e9d4741646b2a894c

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T13:30:56.016180Z digest=sha256:c1a788e13553a1f0c7272196d4f933e0b8fba9315b23564294c404b0d600045e

Pith citing papers

No inbound Pith citation observations are available.