Paper Citation Record · LEDGER

Multi-step manipulation task and motion planning guided by video demonstration

As of 19 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.08949.

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

pith.paper-citation-record.v1
2505.08949 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:27.436487Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

33 of 33 outbound references displayed

verified exact2
verified fuzzy26
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f894900-f49d-47dd-980c-86fc6f816b27 · outbound

This paper cites an unresolved cited work.

Multi-step manipulation task and motion planning guided by video demonstration Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 02f43071-5f1b-4f18-83c7-8ccc3a040310 · outbound

This paper cites Probabilis- tic roadmaps for fast path planning in high dimensional configuration spaces,.

Multi-step manipulation task and motion planning guided by video demonstration Probabilis- tic roadmaps for fast path planning in high dimensional configuration spaces,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.925881Z

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Observation 965066b5-bd81-464f-a8cd-c526f2531fe8 · outbound

This paper cites Rrt-connect: An efficient approach to single- query path planning,.

Multi-step manipulation task and motion planning guided by video demonstration Rrt-connect: An efficient approach to single- query path planning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.910786Z

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Observation d3b1f474-59b5-4f13-8e10-422e0fbb1c4b · outbound

This paper cites Motion planning for humanoid robots,.

Multi-step manipulation task and motion planning guided by video demonstration Motion planning for humanoid robots,

Reference 4

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Observation 9157196e-be96-457f-8b1e-c81ac1750b2f · outbound

This paper cites Prehensile manipulation planning: Mod- eling, algorithms and implementation,.

Multi-step manipulation task and motion planning guided by video demonstration Prehensile manipulation planning: Mod- eling, algorithms and implementation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.880538Z

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Observation 68573bcc-6c34-427e-ac98-b22da3fb55c0 · outbound

This paper cites Multi-contact task and motion planning guided by video demonstration,.

Multi-step manipulation task and motion planning guided by video demonstration Multi-contact task and motion planning guided by video demonstration,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.865671Z

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Observation ff075271-12c0-45d3-b86c-adb7e7dc6573 · outbound

This paper cites [Online].

Multi-step manipulation task and motion planning guided by video demonstration [Online]

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.850798Z

Source-reported events for the cited work

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Observation 9ce568a1-0687-41c1-9872-6010012e84f9 · outbound

This paper cites Rapidly-exploring random trees: A new tool for path planning,.

Multi-step manipulation task and motion planning guided by video demonstration Rapidly-exploring random trees: A new tool for path planning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.836663Z

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Observation d817f1df-efb5-4230-adde-0dca335e56ee · outbound

This paper cites Augmenting rrt-planners with local trees,.

Multi-step manipulation task and motion planning guided by video demonstration Augmenting rrt-planners with local trees,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.822026Z

Source-reported events for the cited work

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Observation 3d017dc9-910e-40d4-9fc6-1e751e574696 · outbound

This paper cites Multi-goal path planning using multiple random trees,.

Multi-step manipulation task and motion planning guided by video demonstration Multi-goal path planning using multiple random trees,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.807802Z

Source-reported events for the cited work

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Observation 5c8c2697-9c61-4bba-9182-9b9b9ea53869 · outbound

This paper cites A multi-tree extension of the transition-based rrt: Application to ordering-and-pathfinding problems in continuous cost spaces,.

Multi-step manipulation task and motion planning guided by video demonstration A multi-tree extension of the transition-based rrt: Application to ordering-and-pathfinding problems in continuous cost spaces,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.793523Z

Source-reported events for the cited work

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Observation 3cf566bb-d016-44ab-8b5f-8cdac4f4bf30 · outbound

This paper cites Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,.

Multi-step manipulation task and motion planning guided by video demonstration Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning,

Reference 12

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Source-reported events for the cited work

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Observation ac6f9931-d4a7-426f-a03f-1dc7023e7032 · outbound

This paper cites Dealing with difficult instances of object rearrangement.

Multi-step manipulation task and motion planning guided by video demonstration Dealing with difficult instances of object rearrangement

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.747495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 226f6fbb-ad2f-4d91-9e66-3939b9c9c0a8 · outbound

This paper cites High-Quality Tabletop Rearrangement with Overhand Grasps: Hardness Results and Fast Methods.

Multi-step manipulation task and motion planning guided by video demonstration High-Quality Tabletop Rearrangement with Overhand Grasps: Hardness Results and Fast Methods

Reference 14

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Observation c095f3a4-f063-4757-a464-4fb57380e1c3 · outbound

This paper cites Monte-carlo tree search for efficient visually guided rearrangement planning,.

Multi-step manipulation task and motion planning guided by video demonstration Monte-carlo tree search for efficient visually guided rearrangement planning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.733097Z

Source-reported events for the cited work

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Observation a65f29ca-deff-430e-ab17-7ba4421b9ab0 · outbound

This paper cites Guided motion planning,.

Multi-step manipulation task and motion planning guided by video demonstration Guided motion planning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.718373Z

Source-reported events for the cited work

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Observation f0e6e6c6-6831-4747-92b0-fa84c2c77c33 · outbound

This paper cites Part-based robot grasp planning from human demonstration,.

Multi-step manipulation task and motion planning guided by video demonstration Part-based robot grasp planning from human demonstration,

Reference 17

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Observation ed319119-493a-4f4d-88af-0311b4624819 · outbound

This paper cites Translating videos to commands for robotic manipulation with deep recurrent neural networks,.

Multi-step manipulation task and motion planning guided by video demonstration Translating videos to commands for robotic manipulation with deep recurrent neural networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.687723Z

Source-reported events for the cited work

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Observation a792f9d5-fc5a-48b8-99e6-48e833687a7a · outbound

This paper cites Understanding human hands in contact at internet scale,.

Multi-step manipulation task and motion planning guided by video demonstration Understanding human hands in contact at internet scale,

Reference 19

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Observation c47f662a-20ac-4834-8071-8f05375034a1 · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation,.

Multi-step manipulation task and motion planning guided by video demonstration Cosypose: Consistent multi-view multi-object 6d pose estimation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.657944Z

Source-reported events for the cited work

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Observation 0e627a1f-36fd-4359-bddf-139ddfb4a19b · outbound

This paper cites Reconstructing hand-object interactions in the wild,.

Multi-step manipulation task and motion planning guided by video demonstration Reconstructing hand-object interactions in the wild,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.643151Z

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Observation 9bdfabd6-b121-4a35-aa42-4fe290313848 · outbound

This paper cites Learning joint reconstruction of hands and manipulated objects,.

Multi-step manipulation task and motion planning guided by video demonstration Learning joint reconstruction of hands and manipulated objects,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.627553Z

Source-reported events for the cited work

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Observation 3c9d55d8-b88e-4ded-9635-bf1903b53d63 · outbound

This paper cites End-to-end training of deep visuomotor policies,.

Multi-step manipulation task and motion planning guided by video demonstration End-to-end training of deep visuomotor policies,

Reference 23

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Source-reported events for the cited work

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Observation 8a1bebad-eff8-45e8-909e-2ad4784f31df · outbound

This paper cites Learning to control a low-cost manipulator using data-efficient reinforcement learning,.

Multi-step manipulation task and motion planning guided by video demonstration Learning to control a low-cost manipulator using data-efficient reinforcement learning,

Reference 24

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This paper cites Learning robust manipulation skills with guided policy search via generative motor reflexes,.

Multi-step manipulation task and motion planning guided by video demonstration Learning robust manipulation skills with guided policy search via generative motor reflexes,

Reference 25

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Observation b5b7cab5-13bb-4277-8f32-60b192b73b3f · outbound

This paper cites Nocedal and S.

Multi-step manipulation task and motion planning guided by video demonstration Nocedal and S

Reference 26

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Source-reported events for the cited work

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This paper cites On delaying collision checking in prm planning: Application to multi-robot coordination,.

Multi-step manipulation task and motion planning guided by video demonstration On delaying collision checking in prm planning: Application to multi-robot coordination,

Reference 27

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Observation 030f6db2-7587-49f8-a565-09937fb2a2d6 · outbound

This paper cites aligator.

Multi-step manipulation task and motion planning guided by video demonstration aligator

Reference 28

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Observation 55291ebc-2efa-4fe8-b338-970420929006 · outbound

This paper cites PROXDDP: Proximal Constrained Trajectory Optimiza- tion,.

Multi-step manipulation task and motion planning guided by video demonstration PROXDDP: Proximal Constrained Trajectory Optimiza- tion,

Reference 29

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Source-reported events for the cited work

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This paper cites The pinocchio c++ library – a fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives,.

Multi-step manipulation task and motion planning guided by video demonstration The pinocchio c++ library – a fast and flexible implementation of rigid body dynamics algorithms and their analytical derivatives,

Reference 30

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Observation 81104429-f862-436e-97bf-9c6af6a96756 · outbound

This paper cites A micro Lie theory for state estimation in robotics.

Multi-step manipulation task and motion planning guided by video demonstration A micro Lie theory for state estimation in robotics

Reference 31

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Source-reported events for the cited work

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This paper cites Posecnn: A convolu- tional neural network for 6d object pose estimation in cluttered scenes,.

Multi-step manipulation task and motion planning guided by video demonstration Posecnn: A convolu- tional neural network for 6d object pose estimation in cluttered scenes,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.523963Z

Source-reported events for the cited work

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Observation 26e1c26d-2e4d-4deb-aea8-91458e9154d9 · outbound

This paper cites Available: https://ojs.aaai.org/index.php/ICAPS/article/ view/6739.

Multi-step manipulation task and motion planning guided by video demonstration Available: https://ojs.aaai.org/index.php/ICAPS/article/ view/6739

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:49:27.763714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.