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Paper Citation Record · LEDGER

Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.12609.

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

pith.paper-citation-record.v1
2311.12609 v4

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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:24:39.100064Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:21:09.947650Z

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 fb054682-45ea-4a68-874f-4700d51a30a4 · inbound

Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning cites this paper.

Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T19:24:39.100064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:24:39.100064Z digest=sha256:151670c9f36daaeabfa51dd220c4acd92de3b230174da7b925d233eff5f69e70

Observation 69c7b4a3-f580-4298-80a0-72c9fca05138 · inbound

Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies cites this paper.

Approximations and Learning for Decentralized Stochastic Control and Near Optimal Finite Window Policies Reinforcement Learning for Near-Optimal Design of Zero-Delay Codes for Markov Sources

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:09.953018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-09T20:09:53.279876Z digest=sha256:a4659d0f1da5fc63b82d980558b364fe6be1f563fb56a9e298665f689147bf09