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Paper Citation Record · LEDGER

Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.02426.

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

pith.paper-citation-record.v1
1910.02426 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:51:25.900652Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:07:07.711927Z

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 17443326-0950-4f13-9c6f-9a5593af5a0b · inbound

An Error Bound for Aggregation in Approximate Dynamic Programming cites this paper.

An Error Bound for Aggregation in Approximate Dynamic Programming Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:07:07.713800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T07:05:48.376606Z digest=sha256:dddf1cd7965dfe0592ed64a6b7c80c47db3997b639255006d9b55a4c32c6a2fc

Observation ff8a3715-4e94-4a92-9fb2-738290206058 · inbound

Feature-Based Belief Aggregation for Partially Observable Markov Decision Problems cites this paper.

Feature-Based Belief Aggregation for Partially Observable Markov Decision Problems Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:51:25.900652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:51:25.900652Z digest=sha256:7e98075fb5fefb164fe300708f382a9ed98751727db465fc55259a6a52a74134

Observation 5bb77de3-c0b8-4a7d-b03d-b36721ac1524 · inbound

Adaptive Network Security Policies via Belief Aggregation and Rollout cites this paper.

Adaptive Network Security Policies via Belief Aggregation and Rollout Biased Aggregation, Rollout, and Enhanced Policy Improvement for Reinforcement Learning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T04:57:04.576256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T04:54:18.327034Z digest=sha256:f269495130beeb1a2412e599a0ae08db2fcb31b4985f334dd80d6d0f3e8c3102