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Paper Citation Record · LEDGER

LLMRec: Benchmarking Large Language Models on Recommendation Task

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2308.12241.

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

pith.paper-citation-record.v1
2308.12241 v1

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:58.692944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.257753Z

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 14530034-98db-4aec-acdc-1821f4b4534d · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms LLMRec: Benchmarking Large Language Models on Recommendation Task

Reference 134

Resolution
unresolved
no resolver link, observed 2026-08-16T11:07:58.692944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:07:58.692944Z digest=sha256:b54ade98dce8b7dcf162075895a28fee0ed224a28a34566f47041df7d89e6a5d

Observation 20bb8ce1-ae13-4e64-bf85-d27a719cde09 · inbound

Open-Set Living Need Prediction with Large Language Models cites this paper.

Open-Set Living Need Prediction with Large Language Models LLMRec: Benchmarking Large Language Models on Recommendation Task

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:23:28.632963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:23:28.632963Z digest=sha256:19430d3ed11bca42db1fe54405bd11a0f69a272f50c541cea79b1274af31b996

Observation 2b6d70b8-8968-4298-8a25-a3a8aaa67cfe · inbound

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric cites this paper.

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric LLMRec: Benchmarking Large Language Models on Recommendation Task

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T20:05:56.773541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:05:56.773541Z digest=sha256:1ab96c28743607d5ff7bfbc47f7e24ab7759f0250df3515f506f99f186319759

Observation 088aece8-fa05-4e41-b212-e0a8163e1eb4 · inbound

Rethinking Semantic Collaborative Integration: Why Alignment Is Not Enough cites this paper.

Rethinking Semantic Collaborative Integration: Why Alignment Is Not Enough LLMRec: Benchmarking Large Language Models on Recommendation Task

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:01:12.350923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-08T10:24:48.122797Z digest=sha256:9ae1b5112df011bda77c29e6602a6eded96abc7f2d640b72a70a6808a7ebba44

Observation f22b1939-7188-41f3-8da9-ef6fce573817 · 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 LLMRec: Benchmarking Large Language Models on Recommendation Task

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.259394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:01c68ab82da0a56bbe65e7ce7aac05ae3e2e78c4e81b6c66b998d7ed203ec0e5