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Paper Citation Record · LEDGER

Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2305.07001.

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

pith.paper-citation-record.v1
2305.07001 v1

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 2026-08-15T06:32:42.880941+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:24:17.211055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:23:28.719667Z

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 213722f0-9dbf-4b6a-8e33-bb747478b41f · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:05:56.944407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-24T03:03:51.053556Z digest=sha256:64091b3cd9e3d9120ef875b6d382eb38d425c97cd753f2148ca34699e63cfe87

Observation c6ce7102-b29c-4d1b-8566-b4dba02c305f · inbound

LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation cites this paper.

LLM-based Bi-level Multi-interest Learning Framework for Sequential Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T20:45:36.464726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T20:45:36.464726Z digest=sha256:caa8b75969adf6899e22a4442a18f75ce15549c83ce37655021ea10d2c15c13b

Observation e1b615ac-25c5-4484-a481-719bb1a169a6 · inbound

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-12T10:20:46.890533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:20:46.890533Z digest=sha256:3b7c524d627ddaf489ef89d6eeb29d413cf09e3f2b3d1db890a6de62499f5cbe

Observation 6c9c3039-8d09-41fd-98af-aa112588238e · inbound

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach cites this paper.

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T05:59:18.781084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:59:18.781084Z digest=sha256:476640d69ceef91a5cab828355825437d401d6aa12143ec16c4313b53a2a69bd

Observation 0eb24e02-1fe4-44b8-af97-7410f64a0923 · inbound

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation cites this paper.

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T05:00:35.408387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:00:35.408387Z digest=sha256:207a70debe4843071f6206afff4e9889796db6126f38f9513f8f236381a46ebe

Observation 5d3d63b3-e183-4254-8952-40934cd95454 · inbound

Improving GenIR Systems Based on User Feedback cites this paper.

Improving GenIR Systems Based on User Feedback Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:25.342859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:25.342859Z digest=sha256:c611d3e788b5757da37ccc5c8311f43eed9c21353302bcf14c21ed698a797cb8

Observation c9068626-caff-44c8-8eda-457416f478e7 · inbound

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation cites this paper.

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:30.379188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:21:30.379188Z digest=sha256:2f2b990aab92ba11e109e2803b1f5bee7b33b5ec2f24290f9e4d8cc33528cff7

Observation 30e92eae-0f76-40fe-850f-000e7185666e · inbound

Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.

Can Large Language Models Understand Preferences in Personalized Recommendation? Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:33.797295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:17:33.797295Z digest=sha256:0319ab86bc1bf536aa62318174a1ae47bd5fc28f403f9dd559a30c8d859930e6

Observation d44ff0c4-b28d-4694-bfee-ec846aa43ff0 · inbound

Large Language Model as Universal Retriever in Industrial-Scale Recommender System cites this paper.

Large Language Model as Universal Retriever in Industrial-Scale Recommender System Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-09T10:09:47.613701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:09:47.613701Z digest=sha256:d240e502ea799b2d9df725473f2b52d8b1e47a6a2037ff43a7892ad851f2d871

Observation 2d28596f-e8a7-46da-8948-5eb83dff17e8 · inbound

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

Unleashing the Power of Large Language Model for Denoising Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:53.879521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:53.879521Z digest=sha256:3d4eef87b80d67c62447031ad345051760528668743159f6e865c11b0e63fc2b

Observation e3c2ded8-a67b-48dc-8977-16d825375f78 · inbound

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation cites this paper.

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:20.310222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:20.310222Z digest=sha256:f5dbb08c198a188a3d28ce9fbcd91add61dd1ebc80f69d3bec0ebb93a6b26bfb

Observation 5b22be86-88ba-40e9-b5ce-694c1de912c6 · 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 Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:53.916594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:53.916594Z digest=sha256:c95ba0d71b7f1adfb33e6a31e0197f27a05d6cff2bdf35cd0de2cd5c52c56f89

Observation 4fc157b2-aa59-434a-8b72-168cc35d54a8 · inbound

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models cites this paper.

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:03:57.258927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.258927Z digest=sha256:9c6844fe94d71400f50caf0ec1b7740c3f75c9839b3e0f7307bfed7016f604a3

Observation b8f48680-07ea-469f-888f-5d6bd3e8f409 · 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 Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:16.931883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:16.931883Z digest=sha256:7ab561fccbf9f6927d245b3cdf0ad4a3f331c37526c908e5276534acdd144c33

Observation 59d8d5d6-696d-41c2-ab98-12bd05ce3d7c · inbound

RecoWorld: Building Simulated Environments for Agentic Recommender Systems cites this paper.

RecoWorld: Building Simulated Environments for Agentic Recommender Systems Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:38.886734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T17:56:38.886734Z digest=sha256:c9978de1922a240873f2c1ab88594d4e20fa2d8b097253fd6a95288688933724

Observation ff79d638-7ce1-4d7c-aad0-323107d89763 · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:23:31.958051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T02:21:04.614347Z digest=sha256:cc84785eca27707c8b1bf634a3c1d488ee8716ecec29f0fed4dd2467352a08df

Observation 168cb04a-d6d3-4e19-944e-4f205c48d99f · inbound

Agentic Recommender System with Hierarchical Belief-State Memory cites this paper.

Agentic Recommender System with Hierarchical Belief-State Memory Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:32:19.382758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T13:29:01.693151Z digest=sha256:0c3c8e564d832bdd66f8a4b56d834c6d5b2f595fb64366e76f41b06bd5d30e7b

Observation c246dba2-9a9e-4bda-a394-31bae117263c · inbound

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

LLM Retrieval for Stable and Predictable Ad Recommendations Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T04:51:05.875636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T04:46:53.593922Z digest=sha256:46fa3dbf7c483afb40dd84a8a0617f2ad63489ad1525fe222d3f7207f9d8588c

Observation 871f4dd5-00d1-4945-ad62-ad96b4cac2a2 · inbound

Fine-Tuned LLM as a Complementary Predictor Improving Ads System cites this paper.

Fine-Tuned LLM as a Complementary Predictor Improving Ads System Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:23:28.725443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T10:27:47.543575Z digest=sha256:b781d8adc08641a727d914b3b5f46b32c26d4a7f019d2b7dbf9701166093acae

Observation b5031683-b312-4037-9446-0f91512b8686 · inbound

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-01T20:27:57.594560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:57.594560Z digest=sha256:2cb3b5b2d056004c5e73e82fe3356b9e6ba533964df8f62d9d1e119740e283a3

Observation 2d200b7e-2931-4594-a8ea-cfb1af2ada88 · inbound

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation cites this paper.

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-01T17:51:51.703816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:51:51.703816Z digest=sha256:70fe092c806c3b928fcee6824cdd390ffbf55af980878a583e6f740f6abac55f

Observation fa879b5c-d9e1-4a70-a77c-e9f178119f8f · inbound

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation cites this paper.

GARDRec: Decision-Level Graph Grounding for Large Language Model Recommendation Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T00:55:47.513721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:55:47.513721Z digest=sha256:45b0f5524459fbf7d05d4c790cd5583b9012287f8254afc752a251ed5f54a06c

Observation ddc59c4e-015b-4b9e-8f68-8e974f2d1ba4 · inbound

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging cites this paper.

Towards Efficient Reasoning in LLM-Based Recommender Systems via Model Merging Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T14:24:17.211055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:24:17.211055Z digest=sha256:7c0e06a2e576ae6c7c8474c76261e231d8031afab9732d31181a58ab8ff13476

Observation d2189102-a14e-4838-81b4-2d93c868c885 · 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 Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:40.444676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:17:40.444676Z digest=sha256:6c0d768d3be23883e88dff9fa491bff60f35bc1b99c52e61108df4016a1241b2