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Paper Citation Record · LEDGER

Neural MP: A Generalist Neural Motion Planner

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.05864.

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

pith.paper-citation-record.v1
2409.05864 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:15:17.441023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:57.318806Z

Reference resolution

0 of 0 outbound references displayed

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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 d739673b-aa61-433e-806d-7545b0f0228d · inbound

Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation cites this paper.

Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation Neural MP: A Generalist Neural Motion Planner

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T23:15:17.441023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:15:17.441023Z digest=sha256:36ba029a8d03e760fb994827c9aeef94a6dba4e431d699ffac9e33ccc8d3928d

Observation 1631fe68-7d79-44f5-a739-b0edadf97789 · inbound

Should We Learn Contact-Rich Manipulation Policies from Sampling-Based Planners? cites this paper.

Should We Learn Contact-Rich Manipulation Policies from Sampling-Based Planners? Neural MP: A Generalist Neural Motion Planner

Reference 17

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unresolved
no resolver link, observed 2026-08-11T16:49:59.109875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:49:59.109875Z digest=sha256:c950a117542891a292d7ea87cbd960cef0c8db19db2b6bdb00aaa056776de069

Observation 6aa0c1fe-b30d-4e38-8212-ee8a3cd3ac2f · inbound

Growing Trees with an Agent: Accelerating RRTs with Learned, Multi-Step Episodic Exploration cites this paper.

Growing Trees with an Agent: Accelerating RRTs with Learned, Multi-Step Episodic Exploration Neural MP: A Generalist Neural Motion Planner

Reference 22

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unresolved
no resolver link, observed 2026-08-06T19:06:14.968446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:06:14.968446Z digest=sha256:e214c3eda3eab7e866586e24bb30f3f80119572d879e765a1d944dad330e71f0

Observation ed76a11b-2219-462d-92cc-d7dfcfad5698 · inbound

Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments cites this paper.

Deep Reactive Policy: Learning Reactive Manipulator Motion Planning for Dynamic Environments Neural MP: A Generalist Neural Motion Planner

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T22:56:02.400953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:56:02.400953Z digest=sha256:3cd916e2638672e26a0619cbfb91612dd992285a71665f3007cdae52be316de6

Observation 43787103-b630-4245-9c8e-2a3ef860f560 · inbound

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators cites this paper.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Neural MP: A Generalist Neural Motion Planner

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T17:01:24.257309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:01:24.257309Z digest=sha256:5a3c37a48a535e9f4f5db6ac1d7ed1d84b6082f2cdee6405460fde7bc28bbcda

Observation e3c51869-a461-4d9d-b3c4-e84ec773db60 · inbound

cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots cites this paper.

cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots Neural MP: A Generalist Neural Motion Planner

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T15:46:12.205269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T15:45:39.544627Z digest=sha256:90ad9acc898672016e9655f6ab8273cf76297f8a1b0b3858d07558084972815b

Observation a2ab770c-1606-4191-a2a8-1456f8683464 · inbound

Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models cites this paper.

Flow Motion Policy: Manipulator Motion Planning with Flow Matching Models Neural MP: A Generalist Neural Motion Planner

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:25:51.851160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T18:31:44.892127Z digest=sha256:e71705fe157966f900e190bf5f15270fee4c6cd7d7b3b7c91fd88318d7998d5c

Observation e6000e20-953a-441b-81c0-5e7b20d9a4d2 · inbound

Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning cites this paper.

Sample-efficient Low-level Motion Planning for Robotic Manipulation Tasks via Zero-shot Transfer Learning Neural MP: A Generalist Neural Motion Planner

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:06:58.904133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T01:38:04.259088Z digest=sha256:a7343db22c76867307edad42d5e3ec3ef8a8d24f614cd90440d299084cf83da0

Observation 97a5e30c-5db6-4560-b96f-2ab0a7edf064 · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Neural MP: A Generalist Neural Motion Planner

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:57.320165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-27T09:52:38.167538Z digest=sha256:d9e36158a1667af1275b2c77fb8e3b88931470bd7957bb28316dd29f4d3951bd

Observation 05722432-271b-4888-9595-5d5dcab2aa17 · inbound

ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients cites this paper.

ELMP: Efficient Learning for Motion Planning via Analytical Policy Gradients Neural MP: A Generalist Neural Motion Planner

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:37:16.336840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-02T18:27:35.055003Z digest=sha256:fa1db8c05aee2f8b133c9b0de6c1be7fa9f994e3c529df3741bfe700c7107cb5

Observation 9b900dcb-93b9-48fe-b31b-dbbddd893bdb · inbound

SplatCtrl: Perception-Action Coupling via Gaussian Scene Representations and Reactive Robot Control cites this paper.

SplatCtrl: Perception-Action Coupling via Gaussian Scene Representations and Reactive Robot Control Neural MP: A Generalist Neural Motion Planner

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T05:34:57.271418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:34:57.271418Z digest=sha256:e5220bd3a5de76880a91d7a373683491da7a906b895d8cea3003fe1ab7e99a8f