Paper Citation Record · LEDGER

GPD: Guided Polynomial Diffusion for Motion Planning

As of 22 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2501.18229.

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

pith.paper-citation-record.v1
2501.18229 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:18:38.022261Z

measured 44 of 44 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

44 of 44 outbound references displayed

verified exact9
verified fuzzy29
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1949482-e3b6-412c-a3e9-2adf01818b29 · outbound

This paper cites Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty.

GPD: Guided Polynomial Diffusion for Motion Planning Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T00:18:37.449639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 707c54b9-dbd0-480e-9dbe-1384ed14de7a · outbound

This paper cites Compositional Diffusion-Based Continuous Constraint Solvers,.

GPD: Guided Polynomial Diffusion for Motion Planning Compositional Diffusion-Based Continuous Constraint Solvers,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.852250Z

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.

Observation 386d0de7-52bd-4b3e-bc68-9ad3cb96016e · outbound

This paper cites Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning.

GPD: Guided Polynomial Diffusion for Motion Planning Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-10T00:18:39.595998Z

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.

Observation 97f53ed3-9682-451f-a16c-5e49e08e8c57 · outbound

This paper cites DiMSam: Diffusion models as samplers for task and motion planning under partial observability,.

GPD: Guided Polynomial Diffusion for Motion Planning DiMSam: Diffusion models as samplers for task and motion planning under partial observability,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.780090Z

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.

Observation fcd55765-f1be-4e75-86d5-d88f26e37c79 · outbound

This paper cites Structdiffusion: Language-guided creation of physically-valid structures using unseen objects,.

GPD: Guided Polynomial Diffusion for Motion Planning Structdiffusion: Language-guided creation of physically-valid structures using unseen objects,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.769231Z

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.

Observation 47284b64-5556-402f-bdf2-2f7ecb24a471 · outbound

This paper cites Plan- ning with diffusion for flexible behavior synthesis,.

GPD: Guided Polynomial Diffusion for Motion Planning Plan- ning with diffusion for flexible behavior synthesis,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.757967Z

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.

Observation 4b2c0294-a9f0-49b0-8516-e39a90a4a64f · outbound

This paper cites Cross- way diffusion: Improving diffusion-based visuomotor policy via self-supervised learning,.

GPD: Guided Polynomial Diffusion for Motion Planning Cross- way diffusion: Improving diffusion-based visuomotor policy via self-supervised learning,

Reference 7

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:39.579871Z

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.

Observation 394fc50c-08c2-45f2-9d40-e976620fa5b5 · outbound

This paper cites Shelving, stacking, hanging: Relational pose diffusion for multi- modal rearrangement,.

GPD: Guided Polynomial Diffusion for Motion Planning Shelving, stacking, hanging: Relational pose diffusion for multi- modal rearrangement,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.748053Z

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.

Observation 0d9ae708-d3e6-47da-9435-d05518f13167 · outbound

This paper cites MidasTouch: Monte-Carlo inference over distributions across sliding touch,.

GPD: Guided Polynomial Diffusion for Motion Planning MidasTouch: Monte-Carlo inference over distributions across sliding touch,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.738606Z

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.

Observation dfeab4d5-e2c1-4c21-9bfb-a9734795b46a · outbound

This paper cites Se (3)-diffusionfields: Learning smooth cost func- tions for joint grasp and motion optimization through diffusion,.

GPD: Guided Polynomial Diffusion for Motion Planning Se (3)-diffusionfields: Learning smooth cost func- tions for joint grasp and motion optimization through diffusion,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.728002Z

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.

Observation 7db13a86-47de-4e3b-864e-351a3ff41c72 · outbound

This paper cites Unidexgrasp: Uni- versal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,.

GPD: Guided Polynomial Diffusion for Motion Planning Unidexgrasp: Uni- versal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.717553Z

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.

Observation 036ff20d-b9ea-4bb7-9327-eb3a4bfa7404 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models,.

GPD: Guided Polynomial Diffusion for Motion Planning Motion planning diffusion: Learning and planning of robot motions with diffusion models,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.709318Z

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.

Observation dcc25e7a-1591-4922-8525-681a8fd6a6e9 · outbound

This paper cites Edmp: Ensemble-of-costs-guided diffusion for motion plan- ning,.

GPD: Guided Polynomial Diffusion for Motion Planning Edmp: Ensemble-of-costs-guided diffusion for motion plan- ning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.668391Z

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.

Observation 060b28ae-2bce-4fc0-9d24-31131353924b · outbound

This paper cites Po- tential based diffusion motion planning,.

GPD: Guided Polynomial Diffusion for Motion Planning Po- tential based diffusion motion planning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.590100Z

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.

Observation d3c67ef0-933c-49dc-acc6-06cac38f7a3e · outbound

This paper cites Chomp: Gradient optimization techniques for efficient motion planning,.

GPD: Guided Polynomial Diffusion for Motion Planning Chomp: Gradient optimization techniques for efficient motion planning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.456451Z

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.

Observation 6d6c2d0e-143c-429f-9f62-3309820c2245 · outbound

This paper cites Storm: An integrated framework for fast joint- space model-predictive control for reactive manipula- tion,.

GPD: Guided Polynomial Diffusion for Motion Planning Storm: An integrated framework for fast joint- space model-predictive control for reactive manipula- tion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.263798Z

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.

Observation 15614c29-38ac-4c1d-b64e-6cc2ecde7b6c · outbound

This paper cites Finding locally optimal, collision-free trajectories with sequential convex optimization,.

GPD: Guided Polynomial Diffusion for Motion Planning Finding locally optimal, collision-free trajectories with sequential convex optimization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.252684Z

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.

Observation a42ad02b-5b1a-4a7e-9dc1-6ee1f7506625 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

GPD: Guided Polynomial Diffusion for Motion Planning A formal basis for the heuristic determination of minimum cost paths,

Reference 18

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:39.537247Z

Source-reported events for the cited work

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Observation d795b838-7204-479d-a6eb-9232dfa2a823 · outbound

This paper cites Anytime dynamic a*: An anytime, replanning algorithm.,.

GPD: Guided Polynomial Diffusion for Motion Planning Anytime dynamic a*: An anytime, replanning algorithm.,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.239649Z

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.

Observation 2255d56e-ecf3-4661-9aab-73d629f78340 · outbound

This paper cites Ara: Anytime a with provable bounds on sub-optimality.,.

GPD: Guided Polynomial Diffusion for Motion Planning Ara*: Anytime a* with provable bounds on sub-optimality.,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.224319Z

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.

Observation 01dbc707-ee6e-4349-a77d-bf404ebf3577 · outbound

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

GPD: Guided Polynomial Diffusion for Motion Planning Rrt-connect: An efficient approach to single-query path planning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.212051Z

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.

Observation 3b916908-36a3-455e-a158-5e56129b73b8 · outbound

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

GPD: Guided Polynomial Diffusion for Motion Planning Rapidly-exploring random trees : A new tool for path planning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.200587Z

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.

Observation 3e63b89a-b690-40d9-a308-772fdf677ad3 · outbound

This paper cites Real-time model predictive control for quadrotors,.

GPD: Guided Polynomial Diffusion for Motion Planning Real-time model predictive control for quadrotors,

Reference 23

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:39.370842Z

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.

Observation 65e6893d-f186-4916-b3c2-0392cb6c5c04 · outbound

This paper cites An integrated system for real- time model predictive control of humanoid robots,.

GPD: Guided Polynomial Diffusion for Motion Planning An integrated system for real- time model predictive control of humanoid robots,

Reference 24

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:39.199210Z

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.

Observation 9f88381b-ce58-466e-92cb-5967dfa7c9e3 · outbound

This paper cites Model Predictive Path Integral Control using Covariance Variable Importance Sampling.

GPD: Guided Polynomial Diffusion for Motion Planning Model Predictive Path Integral Control using Covariance Variable Importance Sampling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-10T00:18:37.745993Z

Source-reported events for the cited work

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Observation 9e5dc470-fcca-414b-8128-67a9f0d4b286 · outbound

This paper cites Aggressive driving with model predictive path integral control,.

GPD: Guided Polynomial Diffusion for Motion Planning Aggressive driving with model predictive path integral control,

Reference 26

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:38.997066Z

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.

Observation 1d112954-2709-40b3-97ad-f9becdd99115 · outbound

This paper cites Mo- tions in microseconds via vectorized sampling-based planning,.

GPD: Guided Polynomial Diffusion for Motion Planning Mo- tions in microseconds via vectorized sampling-based planning,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.186585Z

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.

Observation 11efa560-006f-45a8-b7f2-ea0a0dcd1179 · outbound

This paper cites Hyperplan: A framework for motion planning algo- rithm selection and parameter optimization,.

GPD: Guided Polynomial Diffusion for Motion Planning Hyperplan: A framework for motion planning algo- rithm selection and parameter optimization,

Reference 28

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:38.785938Z

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.

Observation 8643ee4a-52c1-43a4-afbb-b1b8d577c6d2 · outbound

This paper cites Motion planning networks,.

GPD: Guided Polynomial Diffusion for Motion Planning Motion planning networks,

Reference 29

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:38.536109Z

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.

Observation 2969d305-e4c4-42a1-af24-ad428fb558bc · outbound

This paper cites Motion policy networks,.

GPD: Guided Polynomial Diffusion for Motion Planning Motion policy networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.161474Z

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.

Observation 27cd7ce1-2350-4aa0-bb94-6cd0d7301937 · outbound

This paper cites Dipper: Diffusion-based 2d path planner applied on legged robots,.

GPD: Guided Polynomial Diffusion for Motion Planning Dipper: Diffusion-based 2d path planner applied on legged robots,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.149181Z

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.

Observation 9ece4940-acd1-4881-a262-1615584f7ead · outbound

This paper cites Diffusion-es: Gradient-free planning with diffusion for autonomous and instruction-guided driving,.

GPD: Guided Polynomial Diffusion for Motion Planning Diffusion-es: Gradient-free planning with diffusion for autonomous and instruction-guided driving,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:39.847399Z

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.

Observation f0c8f56e-1429-4452-813e-ee672ff93567 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion proba- bilistic model sampling in around 10 steps,.

GPD: Guided Polynomial Diffusion for Motion Planning Dpm-solver: A fast ode solver for diffusion proba- bilistic model sampling in around 10 steps,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:39.666808Z

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.

Observation 6e453ac0-4855-4ad0-94fa-dbdab97e56e8 · outbound

This paper cites Denoising Diffusion Implicit Models.

GPD: Guided Polynomial Diffusion for Motion Planning Denoising Diffusion Implicit Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T00:18:38.001159Z

Source-reported events for the cited work

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Observation 1d247b44-4d63-477b-9bd3-0259dc7bffcb · outbound

This paper cites Deep unsupervised learning us- ing nonequilibrium thermodynamics,.

GPD: Guided Polynomial Diffusion for Motion Planning Deep unsupervised learning us- ing nonequilibrium thermodynamics,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:39.653139Z

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.

Observation 5cb789e5-cdfe-47a6-a7cf-3cb2db843846 · outbound

This paper cites Denoising diffusion probabilistic models,.

GPD: Guided Polynomial Diffusion for Motion Planning Denoising diffusion probabilistic models,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T00:18:38.008324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b439ea-a815-44e0-bb96-74230d4ed5ae · outbound

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

GPD: Guided Polynomial Diffusion for Motion Planning Rrt-connect: An efficient approach to single-query path planning,

Reference 37

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T00:18:38.261355Z

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.

Observation 03dccc0a-96a6-439d-a90b-d2ba5c120e1b · outbound

This paper cites Coumans and Y.

GPD: Guided Polynomial Diffusion for Motion Planning Coumans and Y

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:39.632676Z

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.

Observation 7e1e8e11-83a4-491a-9db6-0bc8172543d9 · outbound

This paper cites Adaptively in- formed trees (ait): Fast asymptotically optimal path planning through adaptive heuristics,.

GPD: Guided Polynomial Diffusion for Motion Planning Adaptively in- formed trees (ait): Fast asymptotically optimal path planning through adaptive heuristics,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:39.621768Z

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.

Observation 0184c17e-8b4a-47b7-8c09-a2abab61cb08 · outbound

This paper cites Geometric Fabrics for the Acceleration-based Design of Robotic Motion.

GPD: Guided Polynomial Diffusion for Motion Planning Geometric Fabrics for the Acceleration-based Design of Robotic Motion

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T00:18:38.022261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfbaa2ed-7e67-42ba-a27b-5d238d0b865a · outbound

This paper cites 1109 / IROS55552.

GPD: Guided Polynomial Diffusion for Motion Planning 1109 / IROS55552

Reference 1923

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.700590Z

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.

Observation fd265ec0-bc42-462d-8316-b6d083acb3aa · outbound

This paper cites an unresolved cited work.

GPD: Guided Polynomial Diffusion for Motion Planning Unresolved cited work

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-10T00:18:37.591452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d79b4d86-84ca-4dec-bb28-2cd5683b97b3 · outbound

This paper cites 1109 / ICRA57147.

GPD: Guided Polynomial Diffusion for Motion Planning 1109 / ICRA57147

Reference 8756

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:40.175625Z

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.

Observation f78d3658-1b26-4fed-82d6-9bc91cfe9e7b · outbound

This paper cites 1109 / ICRA57147.

GPD: Guided Polynomial Diffusion for Motion Planning 1109 / ICRA57147

Reference 9270

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T00:18:39.961213Z

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.

Pith citing papers

No inbound Pith citation observations are available.