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Paper Citation Record · LEDGER

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.19623.

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

pith.paper-citation-record.v1
2505.19623 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:36.626072Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:29:09.297151Z

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 469d1a14-96ff-4fde-96de-464d916e8a85 · inbound

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation cites this paper.

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:36.626072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:31:36.626072Z digest=sha256:41d88022fd526a87726741c4857ee3988a3bbd8f11177e08de2f361eeaf13209

Observation 6ef27738-b07a-4b3b-a5f3-252b7439d904 · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:38.832953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.832953Z digest=sha256:d18f66aa2b86d5fdc6a19f2706388f37c12ea92c0fe7c83819c900688598bebf

Observation 762ae0d3-e784-4f3c-a049-337021a54254 · inbound

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems cites this paper.

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:17.493813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T05:04:08.454422Z digest=sha256:ea9c0d1042d71cb144da096336c7cf500c26c6f8dbb7605a36ae19c9fef599dc

Observation 7e622604-674d-43ef-960e-dea32979f491 · inbound

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents cites this paper.

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.299227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T22:27:16.974169Z digest=sha256:2a433e8d972d0e553bc2d05d670e992bca5eae48dde7ac6662aee8f7877c5b31

Observation a710db35-3b65-4fe4-8fa9-81fe76eb1971 · inbound

APeB: Benchmarking Personalization Ability of Large Language Model Agents cites this paper.

APeB: Benchmarking Personalization Ability of Large Language Model Agents AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T04:26:24.074391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T04:26:24.074391Z digest=sha256:edac8ceda6c15488a22b7c30a8abf7c8672bc84f767e7880c06d981a758b0a31

Observation 529d8338-9028-43f4-94e0-d1fa9e98302e · inbound

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

Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 140

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=sha256:08460c96da6b8261c6acd360db58a3a1ac9f0fea312f79f3e88502bef9a8314e

Observation 2eaa5503-accf-40d0-baa6-04bfe0564fff · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.181996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.181996Z digest=sha256:805a015dbf3ac9d2aac9919bdfcb19ecf4cd9cf17983efd20f66896db81a8221