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Paper Citation Record · LEDGER

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.18713.

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

pith.paper-citation-record.v1
2412.18713 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:16:55.496123Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T16:07:41.027255Z

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 d40c015b-17b4-4425-8f0f-b66df8d8999f · inbound

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks cites this paper.

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:16:55.496123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:16:55.496123Z digest=sha256:cf7ca620bb147fdbf628fa93a7999125b640824376eee9e62b8c5a61d32d04f5

Observation 6065c4a3-6aed-4992-a931-51edfa92e366 · inbound

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems cites this paper.

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T04:13:31.668779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:13:31.668779Z digest=sha256:3c34c86238f7e11394f0a5659ccd483ac9e3b9d50119432f7528c6902ce7ae86

Observation aa825987-b0e4-4657-bdb8-f739643791a5 · inbound

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems cites this paper.

Research on Model Parallelism and Data Parallelism Optimization Methods in Large Language Model-Based Recommendation Systems Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:55.995296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:55.995296Z digest=sha256:71ab7602d71a80afe94697c93d7c39c1bc48bc5860345dcc3e743b574b2b4cae

Observation f386f30a-4cf2-4025-b50f-ef4bc3a2d36f · inbound

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems cites this paper.

Research on Low-Latency Inference and Training Efficiency Optimization for Graph Neural Network and Large Language Model-Based Recommendation Systems Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:18.519949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:34:18.519949Z digest=sha256:596a8bb29c3f875c19d9ce3ba60f96d771b391b56a2c143c865e7fefd1820989

Observation 31ff4090-ba92-41bd-b47e-219e4a044934 · inbound

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP cites this paper.

LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLP Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:22:25.085756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:22:25.085756Z digest=sha256:4b104250f4eb19d774ab89cdcad229a54074e3090f161204fd889d76f2aa219f

Observation 2cf0996f-a1d8-485e-bcdc-3af3a3b29f94 · inbound

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs cites this paper.

Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMs Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T15:08:52.297620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:08:52.297620Z digest=sha256:1257c64bdee3fffc5b631e0cf43d23c99639ef7c854a9b5640c52101acff9d8b

Observation d28166ce-b155-4061-a0f9-4eac3b6c6c27 · inbound

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms cites this paper.

Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platforms Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T05:59:25.370337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:59:25.370337Z digest=sha256:a7b8cb4ed5a4a96905eee5061b267408e344c9ffd8d497c85d2c9b9ca3b2be47

Observation 76f265db-46e2-452c-bbd8-967fc5722143 · inbound

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users cites this paper.

Instructional Prompt Optimization for Few-Shot LLM-Based Recommendations on Cold-Start Users Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T19:46:41.465794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:46:41.465794Z digest=sha256:27546c16625a0fe183342dad56687ae5130f1abe6a17ec3d1ee2af4efdd3ee7b

Observation 58225a16-76ff-45e1-aa4f-42bd5399a807 · inbound

Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning cites this paper.

Fortress: A Case Study in Stabilizing Search Recommendations via Temporal Data Augmentation and Feature Pruning Enhanced Recommendation Combining Collaborative Filtering and Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:07:41.029511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T16:06:28.657109Z digest=sha256:8e27e2de03e6db39aee294b33ff3f10c526a9ff516daf6c98e63cd055b9bf208