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Paper Citation Record · LEDGER

Informed POMDP: Leveraging Additional Information in Model-Based RL

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.11488.

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

pith.paper-citation-record.v1
2306.11488 v3

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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:34:11.201181Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:34:11.296210Z

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 8d21c0e2-0956-4bbb-b19a-a6928881da6f · inbound

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue cites this paper.

A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue Informed POMDP: Leveraging Additional Information in Model-Based RL

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:34:11.302761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-15T22:34:11.201181Z digest=sha256:4541ca8503311f5dd097a1b91e3918b4719ad360ebd9a4354e9638bbbe503298

Observation cf35112e-ae92-4366-bc79-48afaed7bb41 · inbound

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking cites this paper.

GoStop: Reinforcement Learning for Adaptive Temporal Aggregation in Event-Based Feature Tracking Informed POMDP: Leveraging Additional Information in Model-Based RL

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T22:37:50.872210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T22:37:50.872210Z digest=sha256:b098ca65cdfe81041a9af84bc7a8202fe9f0fe4f8bd3b8b3aa64becaa90545cf