Paper Citation Record · LEDGER

Progressive Learning for Physics-informed Neural Motion Planning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.00616.

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

pith.paper-citation-record.v1
2306.00616 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:53:31.721978Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:46:32.391200Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 69dd5a6d-8c65-46ae-90cf-3c15e5cfdb68 · inbound

Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments cites this paper.

Physics-informed Neural Motion Planning via Domain Decomposition in Large Environments Progressive Learning for Physics-informed Neural Motion Planning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:53:31.721978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7a6a0b7-7fb0-43ef-81ee-ed92e831d280 · inbound

Physics-informed Neural Time Fields for Prehensile Object Manipulation cites this paper.

Physics-informed Neural Time Fields for Prehensile Object Manipulation Progressive Learning for Physics-informed Neural Motion Planning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T04:51:45.935071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 750c7618-b533-49d5-a4ff-806199af7d83 · inbound

Mollified Value Learning cites this paper.

Mollified Value Learning Progressive Learning for Physics-informed Neural Motion Planning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T20:29:17.984191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6cb5c45-7da7-4fea-9b99-32c76a39290f · inbound

Neural Navigation Functions for Zero-Shot Generalizable Motion Planning cites this paper.

Neural Navigation Functions for Zero-Shot Generalizable Motion Planning Progressive Learning for Physics-informed Neural Motion Planning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:46:32.392850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0894828-45b6-4e62-a2ca-b2a53a8ff0ed · inbound

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations cites this paper.

AutoPath: Learning Transferable Goal-Conditioned Stochastic Path Prior for Safe Navigation Without Human Demonstrations Progressive Learning for Physics-informed Neural Motion Planning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:04.614079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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.