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Paper Citation Record · LEDGER

RecMind: Large Language Model Powered Agent For Recommendation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2308.14296.

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

pith.paper-citation-record.v1
2308.14296 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:29:20.078390Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:40:51.271388Z

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 2c1dd528-c4b9-4cb6-b8a6-d6b065fd8ce0 · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents RecMind: Large Language Model Powered Agent For Recommendation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:03:00.789055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T04:03:00.340349Z digest=sha256:3ec0c28a5af4ecf05e276c12fcc7de2c92b3be9d5084170c243be163c116b66b

Observation 15892425-46bd-40bb-a92e-476421578a7a · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey RecMind: Large Language Model Powered Agent For Recommendation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:12:57.616944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:925a10365916c55e8542f94466268fb560eaaf562a5b768060340686b88da6e4

Observation 4b6953db-692d-40d8-9b8c-0f842c4b9fc8 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents RecMind: Large Language Model Powered Agent For Recommendation

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.988056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:0b29c6b9690e2edeb3d2445ae6970602229c771f352f7ec507cbb5eecefe2e70

Observation 313ebb53-89f3-433a-b41e-4739c8106106 · inbound

Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph cites this paper.

Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph RecMind: Large Language Model Powered Agent For Recommendation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T19:04:09.146484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:04:09.146484Z digest=sha256:259e0593aec291f0c852a1c9ac0a6e30bbf0efe7d086edbbb7c2a772c230446d

Observation 13d7d7f5-0d96-4698-b467-e4357f86542f · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents RecMind: Large Language Model Powered Agent For Recommendation

Reference 267

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:34.631935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:34.631935Z digest=sha256:acc498c7dacc96ace0e27a88adf0dad15d07eaed637510b8c4428f1223b4cc78

Observation 424b4fed-091c-4e30-8c99-23c657951fea · inbound

Improving GenIR Systems Based on User Feedback cites this paper.

Improving GenIR Systems Based on User Feedback RecMind: Large Language Model Powered Agent For Recommendation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:06:25.375966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:06:25.375966Z digest=sha256:1c407380fb53ea3d41fcc427d59e8bd51183cd408674463c5a499fef8174c279

Observation 046c1fe5-f075-4b98-a881-1e63d3700b69 · 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 RecMind: Large Language Model Powered Agent For Recommendation

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-10T16:21:30.355594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:21:30.355594Z digest=sha256:e754f994a86cf410713c304f1d9889784919c9dc2e00ccbb2a6a763bb6895f3c

Observation 9c384b71-5246-4b3c-86b7-8970e01691e9 · inbound

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

Unleashing the Power of Large Language Model for Denoising Recommendation RecMind: Large Language Model Powered Agent For Recommendation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T22:50:53.764316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:50:53.764316Z digest=sha256:d56f85ad33afdd34ec69fef5886324ca5ae2dbc93cce04f6b826ceabb764a182

Observation 5fa0bb3b-fcc0-46d5-b936-6981c309584e · 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 RecMind: Large Language Model Powered Agent For Recommendation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T12:29:20.078390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:29:20.078390Z digest=sha256:1beea196bbd31f04f12248e92e316d9d9096520c46e482019912bf4fd61eb6cf

Observation 3093bf8c-3d9c-4352-bad6-beefce4feb6d · inbound

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning cites this paper.

Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning RecMind: Large Language Model Powered Agent For Recommendation

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T11:34:10.639272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:34:10.639272Z digest=sha256:fc25e312b353c8731584ded806df9180ac8e1aebd7946112aa9408e6c012d311

Observation b63d875b-ce8c-4b8c-8a04-fba0e8ba025b · inbound

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs cites this paper.

From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs RecMind: Large Language Model Powered Agent For Recommendation

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-17T11:05:09.710668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-17T11:05:09.588491Z digest=sha256:326b3417ba03afa2f2be531135b2e2536e127bfcee1b209767ff311151bd6ec2

Observation 5347b9da-5d41-4e12-9748-06ca7402599f · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms RecMind: Large Language Model Powered Agent For Recommendation

Reference 165

Resolution
unresolved
no resolver link, observed 2026-08-16T11:07:58.863843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:07:58.863843Z digest=sha256:187010f53fcf0c660a235c06b9a8de88a10bbb05eb6fce05e839bc4059a995ea

Observation c2432a9f-bf51-4886-bc50-fdee8a236ec4 · inbound

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems cites this paper.

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems RecMind: Large Language Model Powered Agent For Recommendation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:10.358483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:10.358483Z digest=sha256:bdc7bdb5ba6e9a45db9188b66761d1b34af605e697a4f8423b2a706911558cae

Observation 34ef8fe4-78a7-4c96-b500-f26521a29d07 · 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 RecMind: Large Language Model Powered Agent For Recommendation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:45.389726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.389726Z digest=sha256:da4ad6851524e5242cb354db1c2553bcaec0d74435eeb5f401725be5934509ed

Observation 38766c32-238a-48da-8e7d-7b97b6ffdaa3 · inbound

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems cites this paper.

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems RecMind: Large Language Model Powered Agent For Recommendation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:39:58.907047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:39:58.907047Z digest=sha256:4b6761a4a9c6552ea3c2bf385a57df219b29f3c694e8f0e295f0ba41b931db08

Observation 480ff5e9-e259-4bf5-8983-d94b28945888 · 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 RecMind: Large Language Model Powered Agent For Recommendation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:53.869440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:53.869440Z digest=sha256:8fd95dcb0169e3c26863c3b9845bc4c9300061b7141766115da2d4568c62e81d

Observation b387acc5-48f5-4a92-b910-5304f0c95b1e · inbound

ImpReSS: Implicit Recommender System for Support Conversations cites this paper.

ImpReSS: Implicit Recommender System for Support Conversations RecMind: Large Language Model Powered Agent For Recommendation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T00:23:18.818885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:23:18.818885Z digest=sha256:5941614d033b35fe7b90bb6413faf6149a1cc7bd1109cbc1ce110d9276fde1a3

Observation b53cf8da-9e3b-4736-901f-501ce54c11ab · inbound

On Mitigating Data Sparsity in Conversational Recommender Systems cites this paper.

On Mitigating Data Sparsity in Conversational Recommender Systems RecMind: Large Language Model Powered Agent For Recommendation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:04.759063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:20:04.759063Z digest=sha256:cfad2a4df4463bc2e4776e96295db7a060a422f1d638546e3924a5785f22511c

Observation 7b0853e4-5b7d-4db8-90d1-e1c83376244d · inbound

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model cites this paper.

Improving the Performance of Sequential Recommendation Systems with an Extended Large Language Model RecMind: Large Language Model Powered Agent For Recommendation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T13:53:58.400664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:53:58.400664Z digest=sha256:3a7c21241bfdb53853947d9ad42d776bffea8dbe165491df5dfcfd21f1fef364

Observation 5f8e3710-392d-4cef-b11a-973e02ccf181 · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis RecMind: Large Language Model Powered Agent For Recommendation

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:40:51.273892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T00:37:11.945418Z digest=sha256:99d2de2d86167a7d24b200c50e6d361951fe0b28c8aa564e2ccac434259c8f75

Observation bc8bcc5b-928c-431d-9c2c-5a85763c8f96 · inbound

StaffPro: an LLM Agent for Joint Staffing and Profiling cites this paper.

StaffPro: an LLM Agent for Joint Staffing and Profiling RecMind: Large Language Model Powered Agent For Recommendation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T12:39:25.970368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:39:25.970368Z digest=sha256:f64d3c5175207a757bdb8e1ad5aea992430ac56aae6104fda52d04d18948f11d

Observation c380212e-d7b9-4ec0-968e-081bd54ae51b · 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 RecMind: Large Language Model Powered Agent For Recommendation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T18:02:16.889033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:02:16.889033Z digest=sha256:7dd93d29f119ce897e27a86cb5ec721c715ab2232b0b4ae92155ba889d55d89b

Observation 9d2d5b44-f155-4758-a731-0c692cac709b · inbound

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors cites this paper.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors RecMind: Large Language Model Powered Agent For Recommendation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T19:08:30.984838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:08:30.984838Z digest=sha256:27bd9ab6b1b359c8e5af982d7ba38380169db8b49b8657bc45c4cccad16b0a0e

Observation 40114424-550b-47bb-a425-0539d498efc2 · inbound

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

MATRAG: Multi-Agent Transparent Retrieval-Augmented Generation for Explainable Recommendations RecMind: Large Language Model Powered Agent For Recommendation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:10:40.871295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T06:07:51.567145Z digest=sha256:ffd3cadf649c1ba52c27983a893886a65fe549be994d10f2c1c16f6022eb3b67

Observation 8d313af3-37de-442d-b1be-b062e6afa10e · inbound

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces cites this paper.

OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces RecMind: Large Language Model Powered Agent For Recommendation

Reference 95

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:01:18.778902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T02:57:15.521594Z digest=sha256:1a59d139fb88f9f86040a9d41307b03dbcec9a5cc3eb0b25f746b49246e1672c

Observation 6ac9affd-dabe-4818-8367-77220005f0f5 · inbound

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

Agentic Recommender System with Hierarchical Belief-State Memory RecMind: Large Language Model Powered Agent For Recommendation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:23:31.945949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T02:21:04.614347Z digest=sha256:c305335bc15afacc90512c4f5f1e22aae6dcc8793d38d9ef73a31d4f770e2128

Observation f749dd42-7455-464d-a86a-9c596491c8e1 · inbound

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

Agentic Recommender System with Hierarchical Belief-State Memory RecMind: Large Language Model Powered Agent For Recommendation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T13:32:19.371357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T13:29:01.693151Z digest=sha256:bf30877972a84d3adbab7eceb5862289a917db9b9f8ff31809a51d13387d73e9

Observation d270c143-a63a-45dc-8c31-26880e1a0c7c · inbound

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents cites this paper.

RecoAtlas: From Semantic Plausibility to Set-Level Utility in LLM Recommendation Agents RecMind: Large Language Model Powered Agent For Recommendation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.275502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-20T22:27:16.974169Z digest=sha256:be0e82a866496ba28dced2d25873315cfd734db588b758da5bc562a45a86d629

Observation fff2936b-2ff1-4a12-99b9-659c5b17a2a6 · inbound

Melo: A Production LLM-Powered Music Recommendation Agent cites this paper.

Melo: A Production LLM-Powered Music Recommendation Agent RecMind: Large Language Model Powered Agent For Recommendation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-30T15:00:20.470881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T15:00:20.470881Z digest=sha256:efbe91070c568543c0d71c47f2e1eed6f04967a581e4033fbd312c022a709d60

Observation fea13fb5-8067-439e-9d30-f02ebbfa8b5a · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity RecMind: Large Language Model Powered Agent For Recommendation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T22:07:42.239519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:07:42.239519Z digest=sha256:d9242c04d330582dd3d5f0d4f7c745e47088005807caada71e0d00c11db049cb