Paper Citation Record · LEDGER

LLMRec: Benchmarking Large Language Models on Recommendation Task

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:23:28.632963Z

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 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.

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.

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 2026-08-09T06:31:02.800959+00:00.

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 2026-08-09T06:31:02.800959+00:00.