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Paper Citation Record · LEDGER

LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.09617.

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

pith.paper-citation-record.v1
2402.09617 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.075261Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:05:20.870407Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 609c4344-a3a1-466e-9759-7c22344e8e45 · inbound

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization cites this paper.

Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T12:53:22.390022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:53:22.390022Z digest=sha256:c2d6cd901e6220459747d6c260dc9f12465453d012255996fa87b47a6ea05eed

Observation c668f8d2-e489-4049-8352-e6f85d8da8de · inbound

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems cites this paper.

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T23:32:58.816554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:32:58.816554Z digest=sha256:e9b4d322d667946701669d14053ed8533651486a8085bb2b10e131d35a06521e

Observation 3537a0f0-ea30-4c6f-bb6a-8c7c86281386 · inbound

Graph Foundation Models for Recommendation: A Comprehensive Survey cites this paper.

Graph Foundation Models for Recommendation: A Comprehensive Survey LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T05:30:26.236314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:30:26.236314Z digest=sha256:73656f5faf4ca734eabf34fa9ca04995cf621e58aaec50eee4caf8f5000bba8d

Observation dfa81af5-321c-49a8-a367-d8bd1f604d0f · inbound

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations cites this paper.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:05:20.873003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:9588a219339a6a7c6c2a501ab157227c9b01f05a4784f0070f79497e8ef16f1f

Observation 7ef58c58-6f97-4180-a9a5-7f379ad5636b · inbound

MixLLM: Dynamic Routing in Mixed Large Language Models cites this paper.

MixLLM: Dynamic Routing in Mixed Large Language Models LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:31.770777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:31.770777Z digest=sha256:ea19da42c447ee183dce499837e7fe0aa8f208b30e0f4c6cf6e269326bb186ac

Observation ce4858d4-568b-4faf-8516-db816cdec38a · inbound

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation cites this paper.

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T12:29:20.075261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:29:20.075261Z digest=sha256:15f9f9d510c99285490c8293e2695122468d6a7b41e51607a64b574bd75a699a

Observation b06f684e-fe14-40b3-a56f-b9a607587247 · inbound

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming cites this paper.

Unsupervised Feature Transformation via In-context Generation, Generator-critic LLM Agents, and Duet-play Teaming LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:09:41.305998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:09:41.305998Z digest=sha256:c098a517f05fa84e843a19d26a692f8aafffb28c5b750af0f7d3d0e635825333

Observation 9cc4dea0-943e-42ab-b203-7ddf01390eaa · inbound

Multi-agents based User Values Mining for Recommendation cites this paper.

Multi-agents based User Values Mining for Recommendation LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:36.631189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:34:36.631189Z digest=sha256:b92c601fc68303b56ea9a514961930cbdd7c9963d8179e96b4b9470ded9442a8

Observation 25899c0c-c65a-45d0-a120-4842bf8ba3ab · inbound

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback cites this paper.

Bridging the Domain Gap in Equation Distillation with Reinforcement Feedback LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:19:41.657729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:19:41.657729Z digest=sha256:f910219af4a88e7e50af4b1c0bb3e82459202013d9514316fb5ce2c8f591025f

Observation e6c62e90-17f7-49e6-af98-58bc77a71142 · inbound

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage cites this paper.

Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO$_2$ Storage LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:58.591659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:18:58.591659Z digest=sha256:1c340ebcd3c207b0b7cea51dd725254d7000027b581d48f0d1bcffce3337dfaf

Observation d5acc270-963c-4e46-aed9-40d4bf30708f · inbound

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models cites this paper.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:53.864785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:53.864785Z digest=sha256:838233b22ac16da2095e7e593328e560fed7da905ddc08ed860915076ee89ed0

Observation a38bf425-dd44-4438-8525-96fa3d6aa09a · inbound

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:57.349946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:14:57.349946Z digest=sha256:18d09478f3b573e8e6ff7ee8dbf6db5a9df6b8409c41a5abbb1ddfd39638c998

Observation 81536918-4d96-4b85-a408-0e1460a0865d · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-06T21:29:05.546995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:29:05.546995Z digest=sha256:3e32724484b2bdd831165f74364bc0c5709deb753bca3a9cc1d36e817b22cf72

Observation eb0afc4d-f0c2-45d8-83a5-9851ae16582e · inbound

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs cites this paper.

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:30.269864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:30.269864Z digest=sha256:975e9eacb78474d1377626d922ca23afee572881cea4d94793fc93319d6dde48

Observation 83fb80c5-e228-4d65-9619-cc52b877270b · inbound

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation cites this paper.

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T13:47:46.680972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:47:46.680972Z digest=sha256:6f078b9921999deaff1a6d1d9dbd63b9ae0df12fc8886c0053f1a88a1aa8528e

Observation 615fff3e-c2f9-4000-aeed-a92bd9855cf7 · inbound

Efficient LLM-based Advertising via Model Compression and Parallel Verification cites this paper.

Efficient LLM-based Advertising via Model Compression and Parallel Verification LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:47:04.193267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T01:43:57.722971Z digest=sha256:e1e17b33e94166852572726b75d4dd87b478d75094bf9435cc702ee3ed0c7a5f