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Paper Citation Record · LEDGER

Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2209.07696.

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

pith.paper-citation-record.v1
2209.07696 v1

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:39:10.038427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:11:25.343393Z

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 862ee5f6-ec79-47a6-9c0c-48aa3c87c5a4 · inbound

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies cites this paper.

Scaling DRL for Decision Making: A Survey on Data, Network, and Training Budget Strategies Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-06T04:39:10.038427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:39:10.038427Z digest=sha256:253e2feb7212b8a2e14fa539719eef4a1a0dfbab8f7df354602aaf0f35ff6c77

Observation 58ba63f6-2485-4a8e-946e-f4b2e1cfdc34 · inbound

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory cites this paper.

Remember the Decision, Not the Description: A Rate-Distortion Framework for Agent Memory Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:11:25.346431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:38:41.904799Z digest=sha256:5a68952704644eaebfbfc5eb992259a2f38be87b47b20471baea2c54d1686442