Paper Citation Record · LEDGER

RuAG: Learned-rule-augmented Generation for Large Language Models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.03349.

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

pith.paper-citation-record.v1
2411.03349 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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:43:03.949811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:08:27.871508Z

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 0fcf434b-a0f3-49ff-ba6c-26b6a3eaf1cb · inbound

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

Large Language Model-Brained GUI Agents: A Survey RuAG: Learned-rule-augmented Generation for Large Language Models

Reference 265

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:08:27.873088Z

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.

Observation 6caa1ea7-c57c-4da7-be39-a66cb0fc4676 · inbound

SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing cites this paper.

SymRAG: Efficient Neuro-Symbolic Retrieval Through Adaptive Query Routing RuAG: Learned-rule-augmented Generation for Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T00:43:03.949811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f0bd83-23cc-4c41-9b6c-1fb421301482 · inbound

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models cites this paper.

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models RuAG: Learned-rule-augmented Generation for Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T08:39:45.202113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e49a98d-f20e-4b77-9c9b-dfc4bc6158c2 · inbound

RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning cites this paper.

RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning RuAG: Learned-rule-augmented Generation for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T13:12:19.845179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.