Paper Citation Record · LEDGER

Riemannian Flow Matching Policy for Robot Motion Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.10672.

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

pith.paper-citation-record.v1
2403.10672 v2

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 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:03:14.907560Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:37.697172Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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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 6cc51e94-533f-49e9-bbac-a67e7caa7d72 · inbound

The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning cites this paper.

The Unreasonable Effectiveness of Discrete-Time Gaussian Process Mixtures for Robot Policy Learning Riemannian Flow Matching Policy for Robot Motion Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:03:14.907560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6f27b2b-1686-4942-b995-facaa76298da · inbound

FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation cites this paper.

FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation Riemannian Flow Matching Policy for Robot Motion Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:01.934376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad81f0e-fa84-4ec0-9bae-001d63bc18d0 · inbound

Energy-Based Flow Matching for Generating 3D Molecular Structure cites this paper.

Energy-Based Flow Matching for Generating 3D Molecular Structure Riemannian Flow Matching Policy for Robot Motion Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:16.872986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 621b264e-722c-478b-981a-8bf017fa7377 · inbound

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies cites this paper.

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies Riemannian Flow Matching Policy for Robot Motion Learning

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T05:48:48.183648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14126d83-b3ea-4842-941f-cc344e902de8 · inbound

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling cites this paper.

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling Riemannian Flow Matching Policy for Robot Motion Learning

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:33:27.822593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 734c7e6d-2be4-4394-82d6-613eddf20895 · inbound

BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling cites this paper.

BayesFP: Posterior Estimation for Flow-Based Policies via Feynman-Kac Sampling Riemannian Flow Matching Policy for Robot Motion Learning

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:37.698570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.