Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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

  • 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 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=sha256:696013f9e04b9aa4124502404a39a9d646142950bc1c15c14ea447b8dcdb1949

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=sha256:00b69c6427d3a0330656300c27baee43bbb8c1bdd9618e02ea68613ec4912725

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=sha256:1ab61e6a0aef81ef8167da13cda3217d7a70f656a1b17115bc59f6ac5eb952fa

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=sha256:2caf02c522fc7aae1790077d68ad5f0418ba1ce12650f79b114733da2ad50b73

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=sha256:65f8e7f366e56e873900f833a28c7bfbb4a5c9e38c9a90b25afa3d372d4ae200

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:dcdb7ec60a98052323c6057dfb2877a7e5a0faf0e271b97c13dff2d85bef1613

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=sha256:09333eb12f11b8c0321bf49aed8858e06a49612fc818ba1f1268e56e7e8d54b7

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:b78bc33ba2acd162d3bd093faa5568f43c9a41d5f74c18e2c8d6de0c0755af18

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:ac1725901f388668cf630e21ea88bf1f3c0e76cc03b0c8f9f8317ec11adc2652

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=sha256:4dfc273704cccd251ecab04fc4fb9dfbb10816ff0dc4afe5e94bbd181ff1864d

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:b25edb1d5260c622a73654461bc49caf506f11027c9b8dc1199ff61363d96444

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=sha256:60a9cc4f2f5e8ff0ed355bd989117d017ef6b2f38ee035b220ea2f6fbabb83c8

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=sha256:1f81490926c51617c3f698d5b67e3986b79f6c5e91c829800313f2972bb1cc4b

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=sha256:90208ca83fdb2f5e0e7c7da844de578504a7df778d71f996316176d7fb60c576

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=sha256:39d59cd9d6b1eb27865f3898feb8ab7cb8afd9d69afe3068bffe52e3eafd6822

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=sha256:496ede4f73480f73dde4f44f6a0da03a4e954e19d044672b7be4192c93f28180