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Paper Citation Record · LEDGER

Dyadic Reinforcement Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.07843.

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

pith.paper-citation-record.v1
2308.07843 v6

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T01:03:36.682791Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T01:03:37.196032Z

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 c60f3a2f-ea67-41f7-9141-a299d22f2e1f · inbound

Reinforcement Learning on Dyads to Enhance Medication Adherence cites this paper.

Reinforcement Learning on Dyads to Enhance Medication Adherence Dyadic Reinforcement Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-09T01:03:37.289720Z

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=2026-08-09T01:03:36.682791Z digest=sha256:762bcf50bd511a64e768b2975cf3bf5e5974b037fb7aba6a9362f6d871b5f427

Observation 1881106e-8ba1-43cb-bbb6-6912e60fd418 · inbound

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations cites this paper.

Two-Timescale Hierarchical Reinforcement Learning for Resilient Operations Dyadic Reinforcement Learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-07-30T22:14:20.364088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T22:14:20.364088Z digest=sha256:18aed21c2020a771eebe2d40f6b902a19bd0c9bc9a6d18784a426b30da794223