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Paper Citation Record · LEDGER

Causal Reasoning from Meta-reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1901.08162.

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

pith.paper-citation-record.v1
1901.08162 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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:58.406492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T17:56:07.234815Z

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 aa8b70b3-f540-4786-8a61-b5d51538ee3a · inbound

A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition cites this paper.

A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition Causal Reasoning from Meta-reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T00:53:58.406492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:53:58.406492Z digest=sha256:282e78bd3dc7f43f7578d9650cb4929563ead6dd8a8ea68aae1ae80b12d7de13

Observation 5b665c5f-e081-488a-8418-08fce671ecbd · inbound

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges cites this paper.

Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Causal Reasoning from Meta-reinforcement Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:59:58.570336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:59:58.570336Z digest=sha256:4ddcbc709e5e4ed17c254f692d9a66b463bab3bcfecc16ba630a22d211dacc2d

Observation de228cce-dd17-4cd0-accf-5c81a85279f8 · inbound

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise cites this paper.

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise Causal Reasoning from Meta-reinforcement Learning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:20:46.310645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-08T16:54:17.663989Z digest=sha256:d3e731934cf9f56f0decbb4ad56bbe3c1ad8bd592056b7e66a24cfad2f7addd2