Paper Citation Record · LEDGER

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.06135.

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

pith.paper-citation-record.v1
2503.06135 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 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:26.848308Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:18:59.682952Z

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 3054d852-6fbf-4b46-924a-73b910d09690 · inbound

Model Tensor Planning cites this paper.

Model Tensor Planning FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:26.848308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bd32de-c6dc-4a70-a943-4dc95b2180b0 · inbound

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization cites this paper.

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:16:06.681511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce06d424-b7a3-4cf5-b5c2-5ea0076155dc · inbound

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization cites this paper.

Flow-Opt: Scalable Centralized Multi-Robot Trajectory Optimization with Flow Matching and Differentiable Optimization FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T10:44:43.439444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3df97cc-377e-4660-ab51-9614b419da6a · inbound

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments cites this paper.

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:25:41.203686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation de10ad83-c27f-4885-998a-c925fd235dec · inbound

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments cites this paper.

DynFly: Dynamic-Aware Continuous Trajectory Generation for UAV Vision-Language Navigation in Urban Environments FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-03T22:18:59.684469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3fae9480-5eb1-439c-960d-2d3a51642496 · inbound

PIER-Flow: Physics-Informed Efficient Rectified Flow for Real-Time Mobile Robot Navigation cites this paper.

PIER-Flow: Physics-Informed Efficient Rectified Flow for Real-Time Mobile Robot Navigation FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T12:54:12.779808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.