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Paper Citation Record · LEDGER

Fast and Robust Visuomotor Riemannian Flow Matching Policy

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.10855.

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

pith.paper-citation-record.v1
2412.10855 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T11:43:22.533333Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T11:44:51.119076Z

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 fc40ee59-04d6-4b29-95e2-0fbb9556b9dd · inbound

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback cites this paper.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Fast and Robust Visuomotor Riemannian Flow Matching Policy

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:02:30.293197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-23T04:01:18.219745Z digest=sha256:32e2acfa8bc46738b3d857a96eb22492137b554e71915d1d1ece6a868113c798

Observation 402ff970-4ca1-4b7c-b831-641c1fc8e321 · inbound

Optimal Transport Q-Learning for Flow Policy Steering and Acceleration cites this paper.

Optimal Transport Q-Learning for Flow Policy Steering and Acceleration Fast and Robust Visuomotor Riemannian Flow Matching Policy

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-08T11:44:51.120323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T11:43:22.533333Z digest=sha256:5610f4ad2919d6543a0eb58faab08b1f4d3050a5834653a53ae1c50ebdf41c0c