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Paper Citation Record · LEDGER

Concurrent Meta Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1903.02710.

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

pith.paper-citation-record.v1
1903.02710 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:24.513260Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-15T20:46:35.645814Z

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 ce30c1d7-5b2b-4a02-8bbb-c39218479d7a · inbound

Solving Rubik's Cube with a Robot Hand cites this paper.

Solving Rubik's Cube with a Robot Hand Concurrent Meta Reinforcement Learning

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-15T09:38:28.744081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T09:38:28.621842Z digest=sha256:ef65ea633924b7dcbfda15eca7e7eab77fb72918c62b1bea695cc519a4c5c048

Observation 4abb8857-61a3-48f3-be5e-76f7242270bf · inbound

A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation cites this paper.

A Study of the Efficacy of Generative Flow Networks for Robotics and Machine Fault-Adaptation Concurrent Meta Reinforcement Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:24.513260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:56:24.513260Z digest=sha256:ec9906b1b4fe0850a5105275823af3098b18bf15b20e288fb1e917b57a89ae82

Observation f56f80ba-05ea-4aba-9912-09e24342006c · inbound

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent cites this paper.

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent Concurrent Meta Reinforcement Learning

Reference 118

Resolution
verified exact
local_arxiv, observed 2026-05-15T20:46:35.648081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T20:46:15.275441Z digest=sha256:c26c1fd1c156e82bf3b7a8d057d6cd0db67ea43efc4595b6a932d67254656353