Paper Citation Record · LEDGER

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling

As of 14 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2608.04612.

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

pith.paper-citation-record.v1
2608.04612 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:50:11.933800Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy8
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 411f3068-df21-4009-9480-bf4cf1642d93 · outbound

This paper cites Progressive Learning for Physics-informed Neural Motion Planning.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Progressive Learning for Physics-informed Neural Motion Planning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:10.903679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a3a329-ca76-4c04-b7d4-04026e9ad2b1 · outbound

This paper cites Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:50:12.113492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c0a0c329-d168-469c-ac06-a6ac53744ad9 · outbound

This paper cites DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling DiffusionSeeder: Seeding Motion Optimization with Diffusion for Rapid Motion Planning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.088891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f022b49-bb8b-4a64-ba4b-48bdb5456236 · outbound

This paper cites Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.167208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcf4eee-3e2a-4864-a27a-e5ccdd39a6ec · outbound

This paper cites Fast kinodynamic planning on the constraint manifold with deep neural networks,.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Fast kinodynamic planning on the constraint manifold with deep neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:13.058656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e49da02e-9155-4cec-b93b-6b704a941810 · outbound

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

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.362387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f5b44f8-571b-4ee3-bbad-f8f200e2e150 · outbound

This paper cites Speeding up deep neural network- based planning of local car maneuvers via efficient b-spline path construction,.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Speeding up deep neural network- based planning of local car maneuvers via efficient b-spline path construction,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:13.049384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7a941ec7-127b-44fd-9bc2-bde6aa427b01 · outbound

This paper cites Jerk-limited Real-time Trajectory Generation with Arbitrary Target States.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Jerk-limited Real-time Trajectory Generation with Arbitrary Target States

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.525934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e5d6d7-edd4-4c05-80cf-0df357e61dfa · outbound

This paper cites cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling cuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.574674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cc0abae-af76-41b4-a99f-8340d4e1829e · outbound

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

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Chomp: Gradient optimization techniques for efficient motion planning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:12.955557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 228bedec-2e8f-4a64-be51-d928f466bea3 · outbound

This paper cites G-mapp: Gpu-accelerated multi-agent planning and perception for reactive motion generation,.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling G-mapp: Gpu-accelerated multi-agent planning and perception for reactive motion generation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:12.932837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 50b9e79f-2a3f-4c3c-af06-2520a8c3dedd · outbound

This paper cites Motion planning diffusion: Learning and adapting robot motion planning with diffusion models,.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Motion planning diffusion: Learning and adapting robot motion planning with diffusion models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.692357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5869d352-9738-41ae-8acc-8e07dbfb20cf · outbound

This paper cites Flow Matching Policy Gradients.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Flow Matching Policy Gradients

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T20:50:11.728877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4fbc34b-a807-403d-83c9-92f958b30084 · outbound

This paper cites Outplaying elite table tennis players with an au- tonomous robot,.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Outplaying elite table tennis players with an au- tonomous robot,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:12.770717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82495025-9154-4d8e-97a5-4bcfa73e4927 · outbound

This paper cites Tra- jectories are then decoded by batched matrix multiplication.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Tra- jectories are then decoded by batched matrix multiplication

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:12.613741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0edd695e-31d7-4fb0-b056-3a5f92a01739 · outbound

This paper cites The default minibatch size is64; because samples are generated online, each epoch is defined as256optimizer steps, with validation every epoch on four batches of size256.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling The default minibatch size is64; because samples are generated online, each epoch is defined as256optimizer steps, with validation every epoch on four batches of size256

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:12.478213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8c897c0b-4b0b-4d1b-9f71-fd49815692cd · outbound

This paper cites an unresolved cited work.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:12.433007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9b6de909-7eda-4fa3-a753-a7f35b71b4ec · outbound

This paper cites Several losses are evaluated only on the learnable interior part of the spline, namely betweenc 2 andc nc−2 as defined in 6.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Several losses are evaluated only on the learnable interior part of the spline, namely betweenc 2 andc nc−2 as defined in 6

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:50:12.402910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2756483-b018-49fd-aa6f-d4034025c3c8 · outbound

This paper cites an unresolved cited work.

GASP: GPU-Accelerated Safe Planner for Real-Time Collision-Aware Motion Generation with Latent Trajectory Sampling Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:50:12.249466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.