Paper Citation Record · LEDGER

Language Models as Inductive Reasoners

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.10923.

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

pith.paper-citation-record.v1
2212.10923 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:20:48.546713Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:05:43.623004Z

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 5f219b36-1325-4b0a-bd3a-2bbb32ae1f49 · inbound

EXP-Bench: Can AI Conduct AI Research Experiments? cites this paper.

EXP-Bench: Can AI Conduct AI Research Experiments? Language Models as Inductive Reasoners

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-07T12:20:48.546713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5b2d840-e39a-4ab6-b2d7-b3b1019efcd4 · inbound

The Other Mind: How Language Models Exhibit Human Temporal Cognition cites this paper.

The Other Mind: How Language Models Exhibit Human Temporal Cognition Language Models as Inductive Reasoners

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T15:30:38.636869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eff2255a-a954-40df-9559-439697ff8439 · inbound

Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning cites this paper.

Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning Language Models as Inductive Reasoners

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:30:13.872598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d32921fb-b7cf-44a2-9dce-c196eb82b60b · inbound

Strategy-Induct: Task-Level Strategy Induction for Instruction Generation cites this paper.

Strategy-Induct: Task-Level Strategy Induction for Instruction Generation Language Models as Inductive Reasoners

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:33:57.980625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47998f75-4e69-4701-b2f3-8870755a98af · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Language Models as Inductive Reasoners

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:05:43.624563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.