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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:11:31.770777Z

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 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=sha256:133af8a6075b7b76f66480b3c98305b5700d3565f5edace48ac17ee5de7dd3a7

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

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:033f08ebf60515f07e9b01921b6871e184f37ed52935b45d620f4cd967474b33

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:ee036823554b8c364c111a15593127f77ec3d2817d3a6240681726c73ebeee08

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:e13cd0e2cacaa75be9678d1a598d9539377f7249ec2f6777de26904013e3ac7d

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=sha256:47a6da79082986b51cb8ab60f39268ee842231de86e29e8cdacc99f13ccdaf18

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:cfd285a368fd9f8ced533c0f33184ab240a4ce32a4ab46ab0a10df6d72eda36b

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:f1820131d40a480e4554288d10d989ac015bb07fde19c14122ee1d05f83d8fd5

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=sha256:67e662af28f682e947334c4a930e027065cc57560fdd9474cb1486cb987c6f76

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=sha256:8fa678db924f5a9d6d3f1af1509e9ddfccf1f7b0613b7f99b5c9f4ec8f35dbc7

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:bd43b9d7ea003a6b18f2a38e4f49844c8beec8960de576ea8792f28f446048d2

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

source=pdf_text observed=2026-05-13T01:43:57.722971Z digest=sha256:780431b0a7a9a3d8d66c42f2d82d5bb42c161250b9956163b9a849cd0ddd3ef6