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Paper Citation Record · LEDGER

Large Language Models can Learn Rules

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.07064.

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

pith.paper-citation-record.v1
2310.07064 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:59:57.014649Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:37:15.484224Z

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 ff8feeaf-0ccb-4814-9a84-fc354279b985 · inbound

Large Language Model-Brained GUI Agents: A Survey cites this paper.

Large Language Model-Brained GUI Agents: A Survey Large Language Models can Learn Rules

Reference 264

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T11:08:27.870400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T11:08:27.472508Z digest=sha256:bb34bd978fe63b8cfcaf0ef5c10fb7213b9751783319ad5b4e83ef1fc64c2941

Observation d6ba75c7-269e-4031-b0b4-35eac339df14 · inbound

On the Role of Model Prior in Real-World Inductive Reasoning cites this paper.

On the Role of Model Prior in Real-World Inductive Reasoning Large Language Models can Learn Rules

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T13:00:01.616058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:00:01.616058Z digest=sha256:2ff066326ff9e249d4d44f8281a718f23f5341b121be16ae839e41fcfeb0c084

Observation 8f143d54-8a36-4f9f-9807-c59633868de8 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research Large Language Models can Learn Rules

Reference 204

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:25.919656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:25.919656Z digest=sha256:1d7853066147b48cb2e58c81023a33b8c9fe24479d1c69cc4b40710fb8f221d7

Observation 2fea80ef-6685-45a6-aba4-794c1068d36e · inbound

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers cites this paper.

LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers Large Language Models can Learn Rules

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:37:15.489646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-22T23:37:02.348595Z digest=sha256:899babfc9418d2e20bb5a060a128e489632ca97780cb9cd433312f341e1ae701

Observation abc67991-71b7-4a57-921d-6f639c4c3763 · inbound

DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning cites this paper.

DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning Large Language Models can Learn Rules

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T23:59:57.014649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:59:57.014649Z digest=sha256:0aa403a870b0a94d3cba18d21f14083e780131d8f78b10beafc21b1995a902f1

Observation 91179be4-2945-4384-9c99-fe1cb80a9f3f · inbound

Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models cites this paper.

Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models Large Language Models can Learn Rules

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-06T21:37:57.031312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:37:57.031312Z digest=sha256:b21423c51071cefdaf85f6c2ca681deeeca467859d91c2e5e30b4a128e3eda8d

Observation 1be5d31f-5cc8-4aea-94b0-27b1d288a608 · inbound

Evaluating Language Model Reasoning about Confidential Information cites this paper.

Evaluating Language Model Reasoning about Confidential Information Large Language Models can Learn Rules

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T16:52:47.556541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:52:47.556541Z digest=sha256:b198b842a74a818f0b198fd213b163fb91f4aed03720ec995df3fcdcabd58a9a

Observation 6ae8fe59-4f67-4a19-944f-d1f1ae18f29b · inbound

Lifted State Hypothesis in Large Language Models cites this paper.

Lifted State Hypothesis in Large Language Models Large Language Models can Learn Rules

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-02T12:35:23.748574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:35:23.748574Z digest=sha256:7c746c1ed74ab16d4c9bba5adbaa334431ad15a4282d972327d37e292376eefe