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Paper Citation Record · LEDGER

Action Robust Reinforcement Learning and Applications in Continuous Control

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1901.09184.

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

pith.paper-citation-record.v1
1901.09184 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T08:26:59.428524Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T11:58:05.705590Z

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 0e33d750-1dce-47ff-b1f7-c5d51ac7b0e5 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies Action Robust Reinforcement Learning and Applications in Continuous Control

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-03T11:58:05.707133Z

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.

source=pdf_text observed=2026-07-03T11:50:49.215046Z digest=sha256:491d0ab0be7ad78baa6954250137754143e396339a0c5f20dba48817dadf6c47

Observation e246fbc1-2dab-4d7d-8233-e1eec33b9f70 · inbound

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies cites this paper.

Guided Action Flow: Q-Guided Inference for Flow-Matching Vision-Language-Action Policies Action Robust Reinforcement Learning and Applications in Continuous Control

Reference 31

Resolution
unresolved
no resolver link, observed 2026-07-12T08:26:59.428524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T08:26:59.428524Z digest=sha256:eb3c3e35222bebfd50e5cf47d10ac563ad9fe0191f2f3258766935d6ea1d99d4