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Paper Citation Record · LEDGER

Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.10678.

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

pith.paper-citation-record.v1
2202.10678 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:18:30.371131Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T15:37:37.338381Z

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 13b269f9-89ff-4e5a-aff0-b7188f35b415 · inbound

Information Bargaining: Bilateral Commitment in Bayesian Persuasion cites this paper.

Information Bargaining: Bilateral Commitment in Bayesian Persuasion Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T10:18:30.371131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:18:30.371131Z digest=sha256:a34eb53013ee26408438d214237880ed3745dfa89908ed2141379fb4e6041db3

Observation 2622d014-63f5-40d7-9a54-1cfd3b172673 · inbound

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability cites this paper.

The Sample Complexity of Online Strategic Decision Making with Information Asymmetry and Knowledge Transportability Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:04.936385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:04.936385Z digest=sha256:d70e55024a42e897c0e4d80d6e4a484264b25c006ec5b6d8f899d0236c7eda32

Observation 88e62787-3823-4e2d-b3bd-f29d4c35250a · inbound

Learning to Persuade a Biased Receiver cites this paper.

Learning to Persuade a Biased Receiver Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:37:37.340187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T15:34:03.166879Z digest=sha256:022b7a2fb594b0105727b5aa0efec64ee74ab8301bb854c5b3fcd65534bde0f0

Observation 1183e113-ab3b-482c-99af-f44527dea2c0 · inbound

Markov Information Processes cites this paper.

Markov Information Processes Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-11T20:12:35.056000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:12:35.056000Z digest=sha256:48dec8d4bb7fb8b77f82d1cc64c3a49abfb11dc54b0f09a1a3984b307c6dee83

Observation 978e15f7-98ea-4341-a921-1a77dc405c9f · inbound

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving cites this paper.

Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving Sequential Information Design: Markov Persuasion Process and Its Efficient Reinforcement Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T04:51:41.374848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:51:41.374848Z digest=sha256:9b7b2574fbcb5bed3ee6acc25eb75ed8e929130b8797cefdf7bbb6c610bfd13d