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Paper Citation Record · LEDGER

Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.08271.

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

pith.paper-citation-record.v1
2303.08271 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 2026-08-11T18:43:29.251352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T16:48:58.052252Z

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 12f62a3c-aae2-4b64-91d3-31a2f7522eb0 · inbound

Optimizing Sensor Redundancy in Sequential Decision-Making Problems cites this paper.

Optimizing Sensor Redundancy in Sequential Decision-Making Problems Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T18:43:29.251352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:43:29.251352Z digest=sha256:759e4b7029fa049596569af71801098de5e09372f55d140246a250c0851c8c86

Observation 7374957a-02f9-4b8d-8059-a686da12ec5e · inbound

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning cites this paper.

To Measure or Not: A Cost-Sensitive, Selective Measuring Environment for Agricultural Management Decisions with Reinforcement Learning Act-Then-Measure: Reinforcement Learning for Partially Observable Environments with Active Measuring

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-10T16:48:58.056060Z

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=arxiv_source observed=2026-08-10T16:48:57.812570Z digest=sha256:8c27d62a82177c3a9c20b6dc8dda8a4d4a12593b0307e99091ec4d6c0a16bdbe