Paper Citation Record · LEDGER

Large Language Model Simulator for Cold-Start Recommendation

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.09176.

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

pith.paper-citation-record.v1
2402.09176 v2

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 2026-08-04T06:34:03.388597+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T23:04:03.682459Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 13257a90-d6f6-4517-ba26-a05921a2a0b1 · inbound

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation cites this paper.

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation Large Language Model Simulator for Cold-Start Recommendation

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:25.925993Z

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.

Observation ca94a718-542b-43ec-af5a-af29f4527582 · inbound

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation cites this paper.

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation Large Language Model Simulator for Cold-Start Recommendation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:04:06.184271Z

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.

Observation 1eefe560-6b9d-4a6b-901a-27f6515f788e · inbound

PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media cites this paper.

PERCEIVE: A Benchmark for Personalized Emotion and Communication Behavior Understanding on Social Media Large Language Model Simulator for Cold-Start Recommendation

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:58:02.888897Z

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.

Observation 3078b9f0-80c5-406a-b291-bf0c54ca501a · inbound

Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations cites this paper.

Mind the Gap: Bridging Behavioral Silos with LLMs in Multi-Vertical Recommendations Large Language Model Simulator for Cold-Start Recommendation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-27T23:51:25.656306Z

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.