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Paper Citation Record · LEDGER

Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.06025.

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

pith.paper-citation-record.v1
2402.06025 v7

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:18:58.426352Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:02:25.765952Z

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 75696448-fa7a-477f-9490-2dda829c9369 · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T20:18:58.426352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:18:58.426352Z digest=sha256:1a650193f660baa3abfbd4f54a83902aa056ee80854e6d9e2023e409388b22dc

Observation 035562de-61bb-4dc9-a17f-ee36bdc0f4aa · inbound

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction cites this paper.

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning

Reference 1868

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:02:25.771453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-05T13:02:25.680146Z digest=sha256:b172c83d207a435d2e884ae90fc5f3566f4a1e2e761c8b3fc10c2dabaa8e7414