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Paper Citation Record · LEDGER

LLM-Rec: Personalized Recommendation via Prompting Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2307.15780.

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

pith.paper-citation-record.v1
2307.15780 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:08:59.614669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T18:42:29.248462Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • 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 e12d06ae-ad10-44a0-866f-16edebc47c6f · inbound

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond cites this paper.

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 5

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verified exact
arxiv_id, observed 2026-05-23T21:48:28.679715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-23T21:47:28.193374Z digest=sha256:0d9d3edb16ff57a5f64916b88d8e7bcc91155a6be83e80bfcfa7572529c48801

Observation ab708bbd-6720-401a-b5c0-f1ba2169d214 · inbound

Breaking Information Cocoons: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems cites this paper.

Breaking Information Cocoons: A Hyperbolic Framework for Balancing Exploration and Exploitation in Recommender Systems LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-12T15:54:48.843584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:54:48.843584Z digest=sha256:bcc1f705eb9c46a15084ef6c61e44e57546dd8a94263924e157ae15c8569697a

Observation 2db5a76c-3fbd-4fdf-af3b-71bc0cd9b7e3 · 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-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 16

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no resolver link, observed 2026-08-11T12:53:22.240578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:53:22.240578Z digest=sha256:1ebfb8785b2004a3c03c8123c1ccb9ef416b024a2c3a9b8b578afe7a1e1013aa

Observation 81b436af-bb2f-4756-bad6-e4f23a3dd576 · inbound

LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment cites this paper.

LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T05:03:23.433545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:03:23.433545Z digest=sha256:47bfd355b8171c41ae2752b423f2e1d8759375bdcca0e379275b877f02094c0b

Observation 9d1fcc76-33fe-49e1-8ff0-ea684ae647c5 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 276

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:33:39.773252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-18T04:33:39.076517Z digest=sha256:3fba34c943f47ca60ca1ae15d2a61f5bf6f13f3ca6bced2199533d7c6d09fe79

Observation 3ec9dcae-d4fa-473d-95ba-488d5bf3d05d · inbound

Personalized Graph-Based Retrieval for Large Language Models cites this paper.

Personalized Graph-Based Retrieval for Large Language Models LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:53.121453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:53.121453Z digest=sha256:173fac4aa5384d88eafceb84a4436cebab171b50375e8e7337458e5e62f87794

Observation e5d1e4ff-be0b-49d8-9d1b-72c71cc88285 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 242

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no resolver link, observed 2026-08-10T21:37:05.290597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:37:05.290597Z digest=sha256:da6928f16216af3cd1c634ef2e2678caa9c7cc3a47703f2d85c000c55dc32400

Observation 2501d769-2202-4b49-9f85-be917a1e759c · inbound

STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning cites this paper.

STMA: A Spatio-Temporal Memory Agent for Long-Horizon Embodied Task Planning LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T19:09:59.527651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:09:59.527651Z digest=sha256:09ea2931e0f76df2e512a50734b0ca6173ddf1cbe606d2719580a7664d5f5c5d

Observation c0a050ff-97e1-413d-947c-144fc9e2d0c9 · inbound

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations cites this paper.

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T22:17:15.719852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:17:15.719852Z digest=sha256:a0de1b18a9b7d6b4c70dfd5ef71fe9434f8f12dbcafed280cb3028b462042e42

Observation 48f0afcc-1f19-4a04-9faf-d2555a726949 · inbound

LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification cites this paper.

LLM Enhancers for GNNs: An Analysis from the Perspective of Causal Mechanism Identification LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T22:08:59.614669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:08:59.614669Z digest=sha256:38092ccb46b3e8ce099d53fc38e813d177e335cbc2e916f677c88ba2463fac7d

Observation e15318e6-3975-46aa-9b25-635f3d7120dd · inbound

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization cites this paper.

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:16.309290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:16.309290Z digest=sha256:974c59d59a9d14c7e5a6e7247f52aaf6089b587dcde10fa05a89b0ab11e717de

Observation 0f7c5bfc-fb74-48a6-97a3-37f835914bab · inbound

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation cites this paper.

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:16.857446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:16.857446Z digest=sha256:4bbff2ef37d2c8f086eb00386ea36adfaa3f63097c36c9573afad79a0187837e

Observation 60b4dd45-0b80-4c51-b514-b19bf1d19a8d · inbound

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? cites this paper.

PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T18:31:30.219147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:31:30.219147Z digest=sha256:528da402f754db415b1cb6dcd8e08112a78840da3e48c90d6e1eb44b4ecdf9f5

Observation adb4dfd3-604d-4a4d-8c5a-bf25ebade1d8 · inbound

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning cites this paper.

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:42.489976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-10T17:29:34.145855Z digest=sha256:0903d97e4d38efbe150c3f6994fca5edbd0d785c511d8ce442e9005ea305b54b

Observation b128d14f-feb8-451d-8318-b286df71ae14 · inbound

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation cites this paper.

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:47:41.997673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T09:42:46.410740Z digest=sha256:16b4c711b128ef8dc9e9cce668ff9419097816ad12f4b9ba312f7774716e0613

Observation c69ac663-3cb0-40eb-97ea-d341c9a5530c · inbound

SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models cites this paper.

SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:20:47.694655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-16T09:19:39.582835Z digest=sha256:8f665bbebc48d46cd0561a0b8090f9cd7f2214f4aa59e75d57624681f7c1ffa5

Observation 6255e62f-211c-4c97-adb7-fa1e3dac5b40 · inbound

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation cites this paper.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.508610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:971440101179934baee98acb51d5f77486da044c5d5b6ef384e1c914320d6038

Observation c7cc529e-739f-4d41-b640-3797ec36df78 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.845071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:ecb6db063140744f476131b326fc919ae9272b0be31ee9fdc8150c7b276288e2

Observation d917cb3f-de6e-4fe4-bfcf-350426d8c954 · inbound

LLM Retrieval for Stable and Predictable Ad Recommendations cites this paper.

LLM Retrieval for Stable and Predictable Ad Recommendations LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:51:05.858671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T04:46:53.593922Z digest=sha256:77fe114a96c76383ad55dba2a7daa37404a405b8f08f8061af5d810e03e6f75d

Observation ebe054ef-3558-4259-8ad8-36e557f0ad61 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 156

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:29.251535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:188b26e205eac9e5885f3690dced891deef0aa69e00e1283738d201b47a59984

Observation 700767f2-5f83-472e-a23e-2388debff0a9 · inbound

Tokenizing Numerical and Embedding Features for LLM RecSys cites this paper.

Tokenizing Numerical and Embedding Features for LLM RecSys LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 16

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no resolver link, observed 2026-08-02T07:26:30.779108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:26:30.779108Z digest=sha256:0a85c9e2d8937eeaeec5f487549d2803664d3cac1916dba45dda10e1125a704c

Observation c381f2f0-1920-45a5-965d-f329c5e1aca2 · inbound

Tokenizing Numerical and Embedding Features for LLM RecSys cites this paper.

Tokenizing Numerical and Embedding Features for LLM RecSys LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 16

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no resolver link, observed 2026-08-04T01:43:22.888730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:43:22.888730Z digest=sha256:ef9ad0347a23ab8a5efea2238528107d0e7dafa639e935ae3d2888d7fe24c9af

Observation b64cee95-941b-46b8-8539-48008cd4087c · inbound

SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs cites this paper.

SelectInfer: Selective Neuron Loading and Computation for On-Device LLMs LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 8

Resolution
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no resolver link, observed 2026-08-01T16:14:37.134613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:14:37.134613Z digest=sha256:4e01feb59c74a5698160eb23beff4d441bc4eae83cc478d6ba24d638f5ec3143

Observation 6ebb0b7d-b2f6-433b-bb10-a641fa660390 · inbound

Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces cites this paper.

Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:40.261621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:17:40.261621Z digest=sha256:48d064c2529645ca8aded618478f0ddbe1d181111374061a6371df7dbe5538ca