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Paper Citation Record · LEDGER

Large Language Model Simulator for Cold-Start Recommendation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:01:31.772811Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

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

source=pdf_text observed=2026-05-23T02:41:34.423951Z digest=sha256:2c79478bfdaf0fc4d17944315e2803b0c521717f9284b8a8dfbbf662d8cbe1a0

Observation 1d1b5072-3a1f-4550-ba93-b4f09bc5ab74 · inbound

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets cites this paper.

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets Large Language Model Simulator for Cold-Start Recommendation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:01:31.772811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:01:31.772811Z digest=sha256:95ab00a3fb8bbedd35ea1ce527c6de5a6762aa342fbe3daeddc448722f133d02

Observation 00925031-f025-4263-b395-2c3e7b066551 · inbound

Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.

Enhancing Large Language Models with Reliable Knowledge Graphs Large Language Model Simulator for Cold-Start Recommendation

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:57.939063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:57.939063Z digest=sha256:c0a7e6670ff71a3f44fbe6c9af3699620eb0ab58469f654bbb2ebfbeb8831618

Observation 8f2e26ed-6dc9-4ddd-86c7-270ac6ec5fd9 · inbound

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models cites this paper.

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models Large Language Model Simulator for Cold-Start Recommendation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T01:00:03.442946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:00:03.442946Z digest=sha256:8a4d229478cca0e1b4c697b72aba116cecf9caa1bbe39f86a3f870c88801dc1c

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

source=pdf_text observed=2026-05-10T10:03:35.930672Z digest=sha256:b47de4b3fc3b73ce4ffa6b6b0be0420b7f6d13c07cc9e87c5cc06494d7853d3c

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

source=arxiv_source observed=2026-05-14T21:56:54.193914Z digest=sha256:4fd13511a2827ba99499f60ed7ec46bce6af8fee8c420fe01ebd06424957d7f4

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

source=pdf_text observed=2026-06-27T23:04:03.682459Z digest=sha256:add6978522e4c18674e1ea3ca2daeff53680b9873b8e4bd782948795ca70e753