Paper Citation Record · LEDGER

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2506.15920.

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

pith.paper-citation-record.v1
2506.15920 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:51:05.349443Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:35:12.029511Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy25
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 144f7910-90ee-45ee-b584-fb9cdcd8c9f0 · outbound

This paper cites Pregrasp manipulation as trajectory optimization.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Pregrasp manipulation as trajectory optimization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.673076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a8537fe-9171-4acd-ae27-69709fb298f8 · outbound

This paper cites Improving regrasp algorithms to analyze the utility of work surfaces in a workcell,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Improving regrasp algorithms to analyze the utility of work surfaces in a workcell,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.661109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a0bf558f-0dc7-41fc-8d92-d73ea50aa238 · outbound

This paper cites Learning to predict diverse stable placements for extrinsic manipulation on a support plane,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning to predict diverse stable placements for extrinsic manipulation on a support plane,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.649765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 833deff2-737b-4671-adfb-4f15772dc426 · outbound

This paper cites Pick and place planning is better than pick planning then place planning,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Pick and place planning is better than pick planning then place planning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.638288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2b1aaeb9-d72e-4150-9f70-659ad4e50056 · outbound

This paper cites Enabling grasp synthesis approaches to task-oriented grasping considering the end-state comfort and confidence effects,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Enabling grasp synthesis approaches to task-oriented grasping considering the end-state comfort and confidence effects,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.625046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ea18d586-37a3-4a36-b5ec-2b55095ecac8 · outbound

This paper cites Planning to build block structures with unstable intermediate states using two manipulators,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Planning to build block structures with unstable intermediate states using two manipulators,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.612538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 238ae938-a4a8-4950-9ab9-91dca1fcd453 · outbound

This paper cites Manipulation planning and control for shelf replenish- ment,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Manipulation planning and control for shelf replenish- ment,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.601617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c60a0b99-5670-451f-a6b9-9c4a16bfe7eb · outbound

This paper cites Learning to guide task and motion planning using score-space representation,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning to guide task and motion planning using score-space representation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.590580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e3b2a89b-d571-432e-a461-2f27c7ed91f3 · outbound

This paper cites Sequence-based plan feasibility prediction for efficient task and motion planning,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Sequence-based plan feasibility prediction for efficient task and motion planning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.579919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f60812c-7a1f-423e-adf6-a13718bf88e4 · outbound

This paper cites Learning to search in task and motion planning with streams,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning to search in task and motion planning with streams,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.567674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2aeede06-96b0-4491-9eed-a5cc8d3782b8 · outbound

This paper cites Learning feasibility for task and motion planning in tabletop environments,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning feasibility for task and motion planning in tabletop environments,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.549854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 24a22a02-107b-440d-8ea6-b116bfecd491 · outbound

This paper cites Deep visual heuristics: Learning feasibility of mixed-integer programs for manipulation plan- ning,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Deep visual heuristics: Learning feasibility of mixed-integer programs for manipulation plan- ning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.538093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e778c826-f54d-4349-9b7b-a42639bdaefc · outbound

This paper cites Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Accelerating Integrated Task and Motion Planning with Neural Feasibility Checking

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:05.307956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f1f1acc-e219-4644-aad8-98055b7d3baa · outbound

This paper cites Learning to predict action feasibility for task and motion planning in 3d environments,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning to predict action feasibility for task and motion planning in 3d environments,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.526867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2beccc7b-ef5f-4d4f-96bc-ddef9e84f9a9 · outbound

This paper cites Simultaneous action and grasp feasibility prediction for task and motion planning through multi-task learning,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Simultaneous action and grasp feasibility prediction for task and motion planning through multi-task learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.515562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d78911c4-aa4e-46d9-a09e-d4d3a5836c0e · outbound

This paper cites Scalable learned geometric feasibility for cooperative grasp and motion planning,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Scalable learned geometric feasibility for cooperative grasp and motion planning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.504533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 56b88214-ed6c-4be6-8c84-d32d5ecd4bc5 · outbound

This paper cites Template-based learning of grasp selection,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Template-based learning of grasp selection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.492828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6966b8cd-ca80-464e-bab9-c9ba4974321e · outbound

This paper cites Category-association based similarity matching for novel object pick-and-place task,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Category-association based similarity matching for novel object pick-and-place task,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.481875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da45a893-6a66-4dd2-b4a8-14dff84f2e51 · outbound

This paper cites High precision grasp pose detection in dense clutter,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency High precision grasp pose detection in dense clutter,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.469614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca142258-65b7-4d42-9fbe-85a95e22e249 · outbound

This paper cites Learning continuous 3d reconstructions for geometrically aware grasping,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning continuous 3d reconstructions for geometrically aware grasping,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.458121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 62977313-6173-46da-ac1b-e490643ada85 · outbound

This paper cites Thinkgrasp: A vision-language system for strategic part grasping in clutter,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Thinkgrasp: A vision-language system for strategic part grasping in clutter,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.446449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ae647682-d1ed-40c3-aa2c-dba89df0791e · outbound

This paper cites Pick2place: Task- aware 6dof grasp estimation via object-centric perspective affordance,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Pick2place: Task- aware 6dof grasp estimation via object-centric perspective affordance,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.433570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cc2fa211-7ae6-4752-a857-5ae96bae7633 · outbound

This paper cites Grasp, see, and place: Efficient unknown object rearrangement with policy structure prior,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Grasp, see, and place: Efficient unknown object rearrangement with policy structure prior,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.421686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 39819bdc-166e-4bb1-bcf1-f35af9c30bae · outbound

This paper cites Preparatory manipulation planning using automatically determined single and dual arm,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Preparatory manipulation planning using automatically determined single and dual arm,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.411354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 187808ee-0a7e-4f3b-8fe8-dedeafde8617 · outbound

This paper cites Learning to regrasp by learning to place,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Learning to regrasp by learning to place,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.401002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 40a1fc58-d90a-46aa-8ca6-7a142c79a182 · outbound

This paper cites Efficient object manipulation to an arbitrary goal pose: Learning-based anytime prioritized planning,.

Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency Efficient object manipulation to an arbitrary goal pose: Learning-based anytime prioritized planning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:51:05.390858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation d62bd7ba-0d41-45a6-8958-57b8b3563c77 · inbound

A Robust Placeability Metric for Model-Free Unified Pick-and-Place Reasoning cites this paper.

A Robust Placeability Metric for Model-Free Unified Pick-and-Place Reasoning Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T09:35:12.029511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.