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Paper Citation Record · LEDGER

A Survey on Large Language Models for Recommendation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2305.19860.

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

pith.paper-citation-record.v1
2305.19860 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:17:23.460659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:45:46.922574Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 480dd81c-608e-4cff-9848-c73fff032346 · inbound

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit cites this paper.

The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit A Survey on Large Language Models for Recommendation

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:17:23.460659Z digest=sha256:7a3df1fb75c753c60bce656c6ba82edf82e64009d3a2c48960d8e7e89aacbe24

Observation 04fbed21-49fe-48ed-94bd-5acaa58f0a04 · inbound

Improving GenIR Systems Based on User Feedback cites this paper.

Improving GenIR Systems Based on User Feedback A Survey on Large Language Models for Recommendation

Reference 69

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source=pdf_text observed=2026-08-10T22:06:25.682843Z digest=sha256:c04757cc4c29f9df521c1e1994db848573ef8e6b5913fa38961003223047abd0

Observation 4c869465-504d-4e51-b109-47e47852a8d9 · inbound

LLM-based event log analysis techniques: A survey cites this paper.

LLM-based event log analysis techniques: A survey A Survey on Large Language Models for Recommendation

Reference 86

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no resolver link, observed 2026-08-09T18:11:46.640617Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:46.640617Z digest=sha256:8bcbd1689f475b670d372a97f0ba34e037d42bedec85853d24984821c8f1154e

Observation 8a14d7e5-d2c2-4b6c-96b9-dc9d3240198a · inbound

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation cites this paper.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation A Survey on Large Language Models for Recommendation

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:55:55.099680Z digest=sha256:a1b466030055981d7f89cafa05e7cea970f34440148df1e3809dc4e15feb6613

Observation c4fb4506-0901-4c5e-be5d-533b1647a155 · inbound

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models cites this paper.

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models A Survey on Large Language Models for Recommendation

Reference 23

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no resolver link, observed 2026-08-09T01:05:43.317185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T01:05:43.317185Z digest=sha256:ea613b50a575eed315112e830b3d84b6773b9c965d34635389b97d8bea047dff

Observation d409315b-2802-4927-9f60-ac5155823273 · inbound

Unleashing the Power of Large Language Model for Denoising Recommendation cites this paper.

Unleashing the Power of Large Language Model for Denoising Recommendation A Survey on Large Language Models for Recommendation

Reference 66

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no resolver link, observed 2026-08-07T22:50:53.805505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:53.805505Z digest=sha256:28fb1d2929e177d0a3ec202fa41b266281fafc19edf80bcb1283337fbe3fe613

Observation 9dd26c4b-3f1e-4969-b6a8-e34bb75d44a2 · inbound

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors cites this paper.

Instruction-Based Fine-tuning of Open-Source LLMs for Predicting Customer Purchase Behaviors A Survey on Large Language Models for Recommendation

Reference 7

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no resolver link, observed 2026-08-10T10:07:33.781711Z

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source=pdf_text observed=2026-08-10T10:07:33.781711Z digest=sha256:0ceeaea62652a935147a7e259fb8a2323a6a8abf8d0dced50aae0866859efeda

Observation f6d7ad83-65fc-4ee2-9bc4-f1219860772a · inbound

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation cites this paper.

Optimizing Recall or Relevance? A Multi-Task Multi-Head Approach for Item-to-Item Retrieval in Recommendation A Survey on Large Language Models for Recommendation

Reference 51

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no resolver link, observed 2026-08-07T06:03:45.660189Z

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source=pdf_text observed=2026-08-07T06:03:45.660189Z digest=sha256:af6ae66656ea3935e554d93dfaee885c8686f8d20b287d44ffe3ef10ba0ae21a

Observation b22be3fd-dfe6-488a-a2b6-60f6a9d65c9a · inbound

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking cites this paper.

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking A Survey on Large Language Models for Recommendation

Reference 37

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no resolver link, observed 2026-08-07T05:40:12.344537Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:40:12.344537Z digest=sha256:c1325a3551b73ee8f603181fa56bb36af7e5e8a1724b23a081d38ef470e9ee42

Observation 330c7e3e-f0bb-4bb4-b473-af18a3181581 · inbound

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation cites this paper.

A Survey of Personalized Federated Foundation Models for Privacy-Preserving Recommendation A Survey on Large Language Models for Recommendation

Reference 58

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arxiv_id, observed 2026-05-19T09:32:16.610016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T09:28:32.185398Z digest=sha256:a8d23795a29e497b97b91eea0be9eecda285f2a0b123b786469e8a0a2a44a127

Observation b87d8967-0cf9-4351-919c-a49058f3bc0a · inbound

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support cites this paper.

Rethinking Group Recommender Systems in the Era of Generative AI: From One-Shot Recommendations to Agentic Group Decision Support A Survey on Large Language Models for Recommendation

Reference 63

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no resolver link, observed 2026-08-06T21:17:39.521242Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:39.521242Z digest=sha256:cfa1e009ad06f32f024eaac64b8ac47073d254cfc150f65fccac6a88e20c37a4

Observation 69d75399-ebca-41a1-a628-62dc724afdb5 · inbound

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning cites this paper.

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning A Survey on Large Language Models for Recommendation

Reference 48

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no resolver link, observed 2026-08-06T20:32:09.149323Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:32:09.149323Z digest=sha256:d868fd2890fd1de62e1fcbbf01e16c6fab01ca5b57319dc427b83af2038a6ae3

Observation bca64cd1-4567-4c8a-88ab-f4a31a51eab4 · inbound

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation cites this paper.

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation A Survey on Large Language Models for Recommendation

Reference 47

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no resolver link, observed 2026-08-05T20:37:17.453027Z

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source=pdf_text observed=2026-08-05T20:37:17.453027Z digest=sha256:616e619d183b168dca07912dc422b2e64320b8f4c977233136ce9ce5d57c38b7

Observation d869d6cf-7765-4458-b938-a29796c12221 · 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 A Survey on Large Language Models for Recommendation

Reference 39

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source=pdf_text observed=2026-08-05T18:02:16.907452Z digest=sha256:e72cdda7d27aaa9f8fb78ed43352f9e3e509efc2eb06858df3eac2d3a1f99d09

Observation 86ab4ce1-362a-4558-a12e-97d02306d2b7 · inbound

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View cites this paper.

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View A Survey on Large Language Models for Recommendation

Reference 21

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no resolver link, observed 2026-08-04T13:46:16.008038Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:46:16.008038Z digest=sha256:a0911aac6221555995b11a63c6f1402c187b7ed28bc46637fb980058f1a8c962

Observation 90c40522-e7c8-41ed-8fa5-22d5e1360cec · inbound

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization cites this paper.

Are LLMs Reliable Rankers? Rank Manipulation via Two-Stage Token Optimization A Survey on Large Language Models for Recommendation

Reference 25

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no resolver link, observed 2026-08-04T11:11:01.986317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:11:01.986317Z digest=sha256:3e592a2a225e6cc59122da526fcb08b59028e1189c1ef79a9c420e4d7f0ddc00

Observation 728aa95c-9f76-4d92-bb25-7512b3cb491a · inbound

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations cites this paper.

UniRec: Unified Multimodal Encoding for LLM-Based Recommendations A Survey on Large Language Models for Recommendation

Reference 5

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verified exact
arxiv_id, observed 2026-05-16T10:50:51.356517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T10:50:36.112197Z digest=sha256:e463b8a4a8d175341a21819caa824bf81432117ad84f0811a98261ffcf99751f

Observation 77a3c461-2420-4c77-ac7c-c04602fd5f20 · inbound

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? cites this paper.

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? A Survey on Large Language Models for Recommendation

Reference 32

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no resolver link, observed 2026-08-02T23:32:09.512965Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T23:32:09.512965Z digest=sha256:596843f1ae5698ac0ade6969b7ff1eb4c56f2c3b6118276a86d4ad6215dbd59b

Observation 8607b115-2736-4e66-bdfd-724b43f6d741 · inbound

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation cites this paper.

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation A Survey on Large Language Models for Recommendation

Reference 40

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no resolver link, observed 2026-08-02T22:31:36.948727Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:31:36.948727Z digest=sha256:a53a7d0bf2961d9ae30d94e252dd2e52d805bfbd298dd5be25b5e1d22ec5f513

Observation 3d886cc6-badf-43d5-b8a3-fe47d1eb5438 · inbound

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction cites this paper.

A Comparative Study of Demonstration Selection for Practical Large Language Models-based Next POI Prediction A Survey on Large Language Models for Recommendation

Reference 20

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arxiv_id, observed 2026-05-15T11:15:30.124373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T11:12:59.755023Z digest=sha256:e904f5f5dc9669c319223c551274552315c5a184b1cb6f2f8e97de6839dd8dd8

Observation 5fdaf10f-1ba0-494f-b4af-e1f96bb7d985 · inbound

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations cites this paper.

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations A Survey on Large Language Models for Recommendation

Reference 1

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arxiv_id, observed 2026-05-16T05:27:23.191758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T05:23:49.538421Z digest=sha256:b31880b8ab173975e6a5cf42a24fe87bcfdba1953bd1084ba5933b5392fe2dd3

Observation f0bd2b2b-d831-4038-9f94-029605fa4b1f · inbound

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

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations A Survey on Large Language Models for Recommendation

Reference 63

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arxiv_id, observed 2026-05-11T12:06:04.903295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:e60ac6742d57aa6cd0f81d557d5480c74a803a26ed34e8030b19ca3be629189a

Observation 69cbe4d4-ec10-46fb-9c5e-3f6f8a850bf3 · inbound

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations cites this paper.

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations A Survey on Large Language Models for Recommendation

Reference 43

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arxiv_id, observed 2026-05-16T06:10:40.822723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T06:07:51.567145Z digest=sha256:ab22d53e19d4bd8e2aae224c85405caad902da0c8be59413e7c6e82cf0572bc9

Observation 392de1ae-97bf-4f4b-85ec-3d18ccbb9aa8 · 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 A Survey on Large Language Models for Recommendation

Reference 18

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arxiv_id, observed 2026-05-19T16:07:41.015365Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T16:06:28.657109Z digest=sha256:4e00e95f14df7498519255a6a377e0ad70f6cf9ea46f549504c0573d88f05e3f

Observation d188d485-0f91-4cbe-bc48-eea997b93337 · inbound

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking cites this paper.

Ocean4Rec: Offline LLM-Derived OCEAN Profiles for Request-Time VOD Reranking A Survey on Large Language Models for Recommendation

Reference 49

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arxiv_id, observed 2026-06-30T15:34:48.762668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T15:15:52.806007Z digest=sha256:dd8a83941153618a6e26cdc56b596f496296446957f0d969b7ce1151c5f306e0

Observation d44d8574-9887-454c-98a3-71bb2ab1cb71 · inbound

SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents cites this paper.

SafeGEO: Understanding Generative Engine Optimization Risks in Recommendation Agents A Survey on Large Language Models for Recommendation

Reference 6

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arxiv_id, observed 2026-06-30T11:34:38.171106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:26:25.931534Z digest=sha256:2f453ee935db634deee1b8234ab7b5fda5d2e6bcb0a5c398a02010c9b8474024

Observation f75555b4-d5ec-4e43-b142-80ba8aa6e782 · inbound

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping cites this paper.

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping A Survey on Large Language Models for Recommendation

Reference 15

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arxiv_id, observed 2026-07-01T11:45:46.924261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T03:56:46.899707Z digest=sha256:831860451e5af5d08d2cb952aab58bd26b9d056bad89747324682696f17c1ff2

Observation 1d6a82e0-234a-4ec2-a517-14ba1f0ed432 · inbound

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping cites this paper.

ShopX: A Foundation Model for Intent-to-Item Fulfillment in Agentic Shopping A Survey on Large Language Models for Recommendation

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:19:01.754575Z digest=sha256:fc13376fe4469b93af6a1cf047ca1ab73e0a9891fe3d5d33638fa5450d2cc83e

Observation 17e1d948-648a-43da-a565-e59cf06b7efe · inbound

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

Tokenizing Numerical and Embedding Features for LLM RecSys A Survey on Large Language Models for Recommendation

Reference 12

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no resolver link, observed 2026-08-02T07:26:30.514542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T07:26:30.514542Z digest=sha256:069bc9184f269a2f9226e53453c31af9d3f6771c8f612a42b0b76960b601ffd5

Observation d357c7b8-ec05-4c20-b30d-a9a3b6071d06 · inbound

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

Tokenizing Numerical and Embedding Features for LLM RecSys A Survey on Large Language Models for Recommendation

Reference 12

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no resolver link, observed 2026-08-04T01:43:22.305241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:43:22.305241Z digest=sha256:983d14daeea46a88f63c4bfd713c4e8e3e55245457f8e01f5dca77c01c10025c

Observation 522446a7-d248-4a0f-9283-3465f8988db7 · inbound

Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction cites this paper.

Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction A Survey on Large Language Models for Recommendation

Reference 2023

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no resolver link, observed 2026-08-01T19:13:16.607208Z

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source=pdf_text observed=2026-08-01T19:13:16.607208Z digest=sha256:5c5ac7a0dccdf4307ee7d995212f1487abebf39a55dd1135736d1662a210db0c

Observation 056f1ebf-7736-4f1f-89c4-939378ffaaf8 · inbound

LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation cites this paper.

LLM-Derived Priors for Thompson Sampling in Cold-Start Comment Recommendation A Survey on Large Language Models for Recommendation

Reference 2024

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no resolver link, observed 2026-08-05T20:03:03.559299Z

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source=pdf_text observed=2026-08-05T20:03:03.559299Z digest=sha256:fe5ec4ecdf6324660c17b5acacfc47a85c084d67462690aaa00efcd794d34c93

Observation ebcd711e-f2bc-4aa8-b41f-3bf8c27f8533 · inbound

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation cites this paper.

Shape Your Feed: An LLM-based Agentic System for Conversational Recommendation A Survey on Large Language Models for Recommendation

Reference 29

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no resolver link, observed 2026-08-10T04:16:37.687138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:16:37.687138Z digest=sha256:389015386c9da3b31ef039204587d0a2919d13b935e1282cf97c49e9c585bc29