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Paper Citation Record · LEDGER

Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1302.1525.

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

pith.paper-citation-record.v1
1302.1525 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:38.879120Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:08:45.769912Z

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 6bcf447c-7fc6-48ec-aaf6-099d1dfb5eb9 · inbound

A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process cites this paper.

A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-11T12:08:45.777137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T12:08:45.145388Z digest=sha256:6392d7dd09f7a46eafb47173d331bdf4468a6087d9db0aaca0dab80e2f5000c2

Observation 01447aca-4e65-4f6e-ad32-1ad5ab7a540f · inbound

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation cites this paper.

LLM-Guided Probabilistic Program Induction for POMDP Model Estimation Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T01:04:38.879120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T01:04:38.879120Z digest=sha256:447e00f085a577024688a7e6c34ea3315fb1dbf7d9ad979ee49e73ca628b9bc0