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Paper Citation Record · LEDGER

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2311.02089.

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

pith.paper-citation-record.v1
2311.02089 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 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 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:58:46.175071Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:54:03.368955Z

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 57f42671-8ec5-468e-b19e-be2de2140ca6 · inbound

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation cites this paper.

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 46

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no resolver link, observed 2026-08-09T20:58:46.175071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T20:58:46.175071Z digest=sha256:df8388ea0ad0d19b295d77f6792a68624565c3b84be4a5dbe8f4066ed57c4ee1

Observation 73cf3fb0-5fb6-4acd-b90c-663387abdcf0 · inbound

A Survey on LLM-powered Agents for Recommender Systems cites this paper.

A Survey on LLM-powered Agents for Recommender Systems LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 37

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no resolver link, observed 2026-08-07T19:39:03.794326Z

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source=pdf_text observed=2026-08-07T19:39:03.794326Z digest=sha256:db55020d4646ff2f921a7f418a006570d7b2f6660f17d39583b0a3229d99be27

Observation ccaf6d54-613b-45b8-b498-19bd2ecfb30c · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 60

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no resolver link, observed 2026-08-07T14:58:20.216380Z

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source=pdf_text observed=2026-08-07T14:58:20.216380Z digest=sha256:b534a3a222c0db5c4530bc6aa70e0f40285c8e482e56933beda3848119558ddb

Observation 093a87a4-bc59-461d-87f7-f8669d216339 · inbound

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders cites this paper.

Augment or Not? A Comparative Study of Pure and Augmented Large Language Model Recommenders LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 72

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no resolver link, observed 2026-08-07T13:00:27.071870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:27.071870Z digest=sha256:a43473ab4321f7d3b5dab1f8dfd09db604dec24c36c11bbaa271b957d7f062be

Observation a391f264-5264-4afb-a9cc-0d41b68a7e7c · inbound

K-order Ranking Preference Optimization for Large Language Models cites this paper.

K-order Ranking Preference Optimization for Large Language Models LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 47

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no resolver link, observed 2026-08-07T12:13:02.052560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:13:02.052560Z digest=sha256:21d76f7fdd01987fa43dba0f2a41af0e9010322ae8beeebb916e2076cbea0eb7

Observation f752cbcc-fe88-4f92-9080-2311fe83f026 · inbound

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation cites this paper.

GLoSS: Generative Language Models with Semantic Search for Sequential Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 41

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no resolver link, observed 2026-08-07T11:35:41.840623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:35:41.840623Z digest=sha256:c0851e9a162de8ef49dafe9b083635ec698cc7280a22a41f14349a5872e9efd7

Observation 35f4a104-b9b8-4b09-8872-9ba8423918cf · inbound

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems cites this paper.

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 76

Resolution
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no resolver link, observed 2026-08-07T10:56:21.929882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:56:21.929882Z digest=sha256:2b3c4f069f20eb10bae6156f561b82eabcb4b893c5b7e6d7573c1303933cc6dd

Observation 48561ff7-95d1-401a-bd77-a007a1eab06c · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 45

Resolution
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no resolver link, observed 2026-08-07T05:40:13.038403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:40:13.038403Z digest=sha256:824490e59486d62e562d023e25d074b8d61a87adc03ac9c7424b53000b13b21e

Observation b5d0c6fc-5c92-442f-9eff-f048b2fb185d · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 39

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no resolver link, observed 2026-08-07T05:14:53.905674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:53.905674Z digest=sha256:d5843a78299bec833cdd0867a5fe13b7e11e1672935e13cf7d0aec6e40817418

Observation 1460e70d-4a51-4387-b6de-b33991179fa9 · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 87

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no resolver link, observed 2026-08-06T20:43:23.980369Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:23.980369Z digest=sha256:0566f23cd65f82eb14caee37120bbf7f05c9fe72d377ce624ba9d4ed5765d6cf

Observation b3350318-9fc6-4975-bb7f-a0931b5f3b92 · inbound

Generative Multi-Target Cross-Domain Recommendation cites this paper.

Generative Multi-Target Cross-Domain Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 65

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no resolver link, observed 2026-08-06T16:41:42.084748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:42.084748Z digest=sha256:c8165da2f02430befe5fcdfb27c71b3a9f2e599f49801884fee505240730492e

Observation a9f41f87-acf8-4568-ba7f-bdf70d0ea3d4 · inbound

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation cites this paper.

Revisiting Prompt Engineering: A Comprehensive Evaluation for LLM-based Personalized Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 61

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no resolver link, observed 2026-08-06T16:27:23.221188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:23.221188Z digest=sha256:a43fa091a75ced3b45ea1fec2b424fc053d89718af732f2380a70c2214965018

Observation b475cb85-65cc-4c78-94d4-1317d9096c0a · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 45

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no resolver link, observed 2026-08-06T15:03:57.254619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:57.254619Z digest=sha256:55c4b3108cae4a4621f70c62c14a4605bb234713ec085fdf3e8dd4cf63acde60

Observation 83d6da44-81c5-4078-9818-5fac1dc59e11 · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 9

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no resolver link, observed 2026-08-06T13:53:56.746127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:53:56.746127Z digest=sha256:c2bca7156d6950e11e2bfdd5cdcf4a441341f11db8bc4c220b8547f13f98e3ef

Observation b2428107-ec85-45f1-b7ee-2a5ea3fdd10f · inbound

Towards Comprehensible Recommendation with Large Language Model Fine-tuning cites this paper.

Towards Comprehensible Recommendation with Large Language Model Fine-tuning LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 42

Resolution
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no resolver link, observed 2026-08-05T22:06:55.301570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:06:55.301570Z digest=sha256:03a1729eebfaeb8e12737cc9bfe045d7834bb04a4a6a1bc763be73b708111225

Observation 36675cec-2984-4ff3-9774-de9aa9d25226 · inbound

The Missing Giant: Do FAST Spectroscopic Observations Reveal a Scarcity of Large Polycyclic Aromatic Hydrocarbons in Astronomical Environments? cites this paper.

The Missing Giant: Do FAST Spectroscopic Observations Reveal a Scarcity of Large Polycyclic Aromatic Hydrocarbons in Astronomical Environments? LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 40

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no resolver link, observed 2026-08-05T18:03:35.983683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:03:35.983683Z digest=sha256:2870e3f51cb60ea6602bb3ae0fcc7391d5f2eb16941c56f2f714d41459430a5e

Observation 5d8651b1-2024-472a-a195-b13b8650c777 · inbound

Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs cites this paper.

Learning to Shop Like Humans: A Review-driven Retrieval-Augmented Recommendation Framework with LLMs LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 47

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no resolver link, observed 2026-08-05T13:27:24.381336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:27:24.381336Z digest=sha256:8712d6f7a6f2d4fa3ef6d18fbd0d893b0caa092161b8b34681f589d2ac7abe77

Observation a3c94598-e6ec-4e58-a554-95b166fe04ce · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 23

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no resolver link, observed 2026-08-04T13:46:16.178380Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:46:16.178380Z digest=sha256:8d43f4d6ea390d5542d9ea56829b104d70556f61e67b171cf46b19890c2605ff

Observation 6607c6c6-e0cd-4bb9-9efb-d5f915422fff · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 220

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.146248Z

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=2026-05-18T03:47:08.208082Z digest=sha256:4839a159f73c2544d2a051b9cb8fdbdf37f97ca0393216a5017c3640441c208d

Observation 8695be92-03a5-4365-9658-453513ef093b · inbound

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders cites this paper.

Filling the Gaps: Selective Knowledge Augmentation for LLM Recommenders LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 58

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arxiv_id, observed 2026-05-11T06:31:01.648357Z

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=2026-05-10T17:36:36.680191Z digest=sha256:afbb8ee90160a2f029f71dd51b1b84fab9bed94fb8a3ca4e87bef6ccee8357a9

Observation c1aaaba0-c073-48d0-9366-e677cf6335a9 · inbound

HORIZON: A Benchmark for In-the-wild User Behaviour Modeling cites this paper.

HORIZON: A Benchmark for In-the-wild User Behaviour Modeling LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 41

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metadata mismatch
arxiv_id, observed 2026-05-10T06:21:26.910789Z

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=arxiv_source observed=2026-05-10T06:20:09.673128Z digest=sha256:e4727a19d7d6ca28a0ace1e71d42d9e1332a1f8cf86b4b529ebacc29255a84a1

Observation a8711db4-5cc1-444e-8467-96c638e7f285 · inbound

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation cites this paper.

Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 7

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arxiv_id, observed 2026-05-11T15:16:07.410644Z

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=2026-05-09T20:26:02.884219Z digest=sha256:e7ba840a3dfbbd9384c5c73d718b4fbcb9a33cd18f4909ec094cadeb80b4d6f4

Observation b9e694f3-ea34-4f07-8a3f-2f1da7538b31 · inbound

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation cites this paper.

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 96

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arxiv_id, observed 2026-05-12T09:06:26.075784Z

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=2026-05-07T12:54:56.401350Z digest=sha256:66eb174dd4c4181ed8d68d25364a727b9cf7b2e9acf4de0e8b3a7d6607e6a3b3

Observation cd95a088-791f-428e-afd3-b39e3163df75 · inbound

RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching cites this paper.

RcLLM: Accelerating Generative Recommendation via Beyond-Prefix KV Caching LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 35

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arxiv_id, observed 2026-05-11T03:55:56.454462Z

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=2026-05-11T02:07:29.141193Z digest=sha256:e8564095d28ae82fc67b406e95daa2f350441b716d0775fd547928f4789825fd

Observation 4f0fed5b-2c33-4943-bb8b-4a625dc458bf · inbound

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking cites this paper.

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 73

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verified exact
arxiv_id, observed 2026-05-14T19:52:52.256895Z

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=arxiv_source observed=2026-05-14T19:51:45.657658Z digest=sha256:ae7d43c082fc8acf04979181764026d74518196e436ea538d3e601e9839b2047

Observation 39948450-6485-4f5b-b01a-24b57defe63b · inbound

Meta-Modal Agent: Sequential Evidence Routing for Missing-Modality Candidate Reranking cites this paper.

Meta-Modal Agent: Sequential Evidence Routing for Missing-Modality Candidate Reranking LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 29

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verified exact
arxiv_id, observed 2026-06-29T23:54:03.370447Z

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=2026-06-29T23:50:54.237809Z digest=sha256:dd8ff881d3cdeeea17f29901c995eab1ebd35d3a2153cbb0af42ea0c42912cd1

Observation f99b42b1-326d-49a9-9685-9ade5d42ae59 · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 287

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verified exact
arxiv_id, observed 2026-06-28T18:42:29.112018Z

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=2026-06-28T18:41:06.636352Z digest=sha256:6725ef9446f35f1173e1c2b95aa5b35a28f7bf05405244bc5ec4857ff7d26d8a

Observation f65023f2-a6d4-41d3-b128-7a4a8ea9c8ef · 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 LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 46

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unresolved
no resolver link, observed 2026-08-01T20:27:57.585655Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:27:57.585655Z digest=sha256:ec176f5a57e05ba5e3207031b52105a9c759176faff82d4d33a59e025723f1a0

Observation c216b2ba-650f-474d-8f40-af04e08b04ac · inbound

Hierarchical Latent Reasoning for LLM-based Recommendation cites this paper.

Hierarchical Latent Reasoning for LLM-based Recommendation LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking

Reference 49

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:50:20.441429Z digest=sha256:cf431185670d4b3fa5bf91489576049961282de529926aecb5ac0bfb890caf89