Paper Citation Record · LEDGER

Language Models can be Logical Solvers

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.06158.

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

pith.paper-citation-record.v1
2311.06158 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:40:44.201822Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T19:26:47.182192Z

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 c15fcc6f-a954-4f49-be34-197003fc33d1 · inbound

One STEP at a time: Language Agents are Stepwise Planners cites this paper.

One STEP at a time: Language Agents are Stepwise Planners Language Models can be Logical Solvers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T21:40:44.201822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba082a9f-94b0-4b62-9e4a-c67ee4ca0e69 · inbound

Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios cites this paper.

Generative Agents for Multi-Agent Autoformalization of Interaction Scenarios Language Models can be Logical Solvers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T17:37:05.121618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ebbd13-d472-4d09-8a70-1753a0dbbd0e · inbound

Throttling Web Agents Using Reasoning Gates cites this paper.

Throttling Web Agents Using Reasoning Gates Language Models can be Logical Solvers

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T12:28:03.913667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13b399e7-6381-4252-980a-e1ffc384feac · inbound

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction cites this paper.

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction Language Models can be Logical Solvers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:26:47.184443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.