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Paper Citation Record · LEDGER

RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.23374.

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

pith.paper-citation-record.v1
2503.23374 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:53:33.889026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:04.844660Z

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 1687b362-4094-450c-8231-817381095b9a · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

Reference 187

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.195547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:f812839f8eaf8ab2164216951fd1007c54406244bb945177a06409707681c60f

Observation 9ae63de2-cb16-4583-bad8-6ddbaa637a2f · inbound

Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systems cites this paper.

Self-Distilled Reinforcement Learning for Co-Evolving Agentic Recommender Systems RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:56:02.140206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:24:28.048403Z digest=sha256:504dd5c3f046d3467ddceeee04b1f7cac82bd888ce11433134057f335c55b172

Observation b5008602-7419-4f42-b4f5-a64d438fb477 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

Reference 256

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.078782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:aca02c7fc7d9ea40f8c5b5b00b7e259ba27037b29678c83730ef31d536817e6e

Observation 640edbf3-7aae-4599-ac7e-d82596f6d8cf · inbound

ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation cites this paper.

ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:27:04.846949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T23:54:14.214208Z digest=sha256:6fdd4161f8437bf93ca4fc070ccfad1f4138b4432d51a03b0722f2420eacb5a7

Observation d03a2c6c-918d-4342-86c1-409d7cb2ab8e · inbound

ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation cites this paper.

ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T04:53:33.889026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:53:33.889026Z digest=sha256:6b4b1278709cf29e97462fa9b5254b87bb56a4885a65a90395ea588bd743cc3c

Observation 1173f786-0a1d-4b5b-aca1-bd5386efc82d · inbound

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems cites this paper.

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents

Reference 139

Resolution
unresolved
no resolver link, observed 2026-07-11T19:14:13.105401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:14:13.105401Z digest=sha256:494edf85355b553ee963dd1359d63f856a9e10449c49227c5459c5902e03e677