Paper Citation Record · LEDGER

M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 47 inbound Pith citation observations for arXiv:2205.08084.

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

pith.paper-citation-record.v1
2205.08084 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 47 of 47 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:07:58.663281Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

26
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 109d2e4e-3a10-43da-9d7d-d9be41cae644 · inbound

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations cites this paper.

Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:39:32.842630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 139c81f5-1cd0-4d73-97e8-fb1bd69caba2 · inbound

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender cites this paper.

MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:23:31.478024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3a5f3aa7-4537-4483-8eb7-a5b429acbefc · 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 M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T20:45:36.222318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2abc65b9-7009-4ba0-80d1-099bcc2fa63f · inbound

ULMRec: User-centric Large Language Model for Sequential Recommendation cites this paper.

ULMRec: User-centric Large Language Model for Sequential Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T20:40:43.493717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d36b8368-3812-4224-bba7-df68062cefac · inbound

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models cites this paper.

Towards a Unified Paradigm: Integrating Recommendation Systems as a New Language in Large Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T06:02:36.204840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7029718-5aa5-4d58-8638-2294ec5992d3 · inbound

From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries cites this paper.

From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:45:21.615278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2aeedb5-3ca9-4238-9da1-96fefe4b39a5 · inbound

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation cites this paper.

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:41:59.840896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bacc0b-6097-4361-8e73-77f378b4b1e3 · 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 M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T16:21:30.181195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5065d79-0258-428a-b7c3-e73922604cd4 · 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 M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:58.663281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e71ea3-1dd9-4a6f-8186-29069872674e · inbound

Revisiting Self-attention for Cross-domain Sequential Recommendation cites this paper.

Revisiting Self-attention for Cross-domain Sequential Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:20.495171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f72a6b70-248c-445e-ba66-5f5625ef600e · inbound

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation cites this paper.

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T10:31:39.975207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425c7742-3eb8-47e2-b14d-5554ee5ee6ae · 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 M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:53.725271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa252a2-8e83-46f1-95bf-608afc679e95 · inbound

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects cites this paper.

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-15T19:20:29.639118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e9720f0-f2ac-4fb8-943c-e269fa4498d7 · inbound

RecCoT: Enhancing Recommendation via Chain-of-Thought cites this paper.

RecCoT: Enhancing Recommendation via Chain-of-Thought M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:44.205655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 674c07a7-6a3b-4daa-b98c-768942758692 · inbound

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation cites this paper.

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:46.831165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d324a02b-e29d-40d6-beb3-b34f835f0b5a · inbound

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation cites this paper.

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T19:21:37.015142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f7de829-bb9e-4d82-92c4-728dba5d156e · inbound

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform cites this paper.

PinFM: Foundation Model for User Activity Sequences at a Billion-scale Visual Discovery Platform M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:47:31.861404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bca9c7c-ef2c-4490-b7b1-4bfbdd028a8a · inbound

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

Generative Multi-Target Cross-Domain Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:36.069277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8590c07b-9165-4657-a778-528196525dda · 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 M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T18:02:16.804313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236be4a7-a9c5-4537-81f0-2d50912afac2 · inbound

Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems cites this paper.

Membership Inference Attacks on In-Context Examples in LLM-based Recommender Systems M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T16:24:50.093429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e223bc8b-727a-40ce-8864-8808d480a95d · inbound

STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning cites this paper.

STARec: An Efficient Agent Framework for Recommender Systems via Autonomous Deliberate Reasoning M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T16:15:27.333057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278c0633-d009-4665-9ced-d13e71a54e96 · inbound

OneRec-V2 Technical Report cites this paper.

OneRec-V2 Technical Report M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:56:49.269842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7167e0ca-32f7-487b-9569-07cac715a371 · inbound

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation cites this paper.

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T11:13:38.877359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa10f592-f807-4170-aa83-dcac1552c0ea · inbound

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines cites this paper.

Next Interest Flow: A Generative Pre-training Paradigm for Recommender Systems by Modeling All-domain Movelines M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:46:03.460863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd3bb991-f970-4f8d-b343-905855602526 · inbound

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

A Survey on Generative Recommendation: Data, Model, and Tasks M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:50:52.125457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58cfe91d-f434-4500-a6e8-ab442b06e991 · inbound

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion cites this paper.

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:11:13.469963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 36cd7e42-6db2-4562-a5e9-b0c23a8b1ce7 · inbound

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation cites this paper.

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:41.423722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e5c5b15-44ee-428f-b0bb-50e3481b5225 · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:27:41.308477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ce4eb5eb-3319-44f7-8c84-a435edbe109d · inbound

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models cites this paper.

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T06:28:22.928859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 002b8131-e519-43fb-b3a1-8d7e5e74b37c · inbound

ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation cites this paper.

ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:06:10.422479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c034c4f8-4a2b-497c-8e25-c106387ce9f6 · inbound

Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation cites this paper.

Birds of a Feather Cluster Nearby: a Proximity-Aware Geo-Codebook for Local Service Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:10.754448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dd9725be-53aa-46b7-9e3c-dd93ec3bf434 · inbound

Limitations of LTI Koopman Modeling for Nonlinear Control Systems cites this paper.

Limitations of LTI Koopman Modeling for Nonlinear Control Systems M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:15:43.599618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 669b3638-15fa-4ce9-b3cd-4776a2dfe739 · inbound

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space cites this paper.

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:11:17.078949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8cc4da01-1f8b-48da-a8c6-02c6ad0bb77f · inbound

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation cites this paper.

LASAR: Latent Adaptive Semantic Aligned Reasoning for Generative Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:28.943148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee884bfa-1413-429e-918e-c2adffd8b011 · inbound

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising cites this paper.

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:46:25.625363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5333145-f574-4d97-bff4-28f9d6dbe3b2 · inbound

TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning cites this paper.

TwiSTAR:Think Fast, Think Slow, Then Act,Generative Recommendation with Adaptive Reasoning M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:42:03.692325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c59ead5e-a015-40e0-b908-5d493b046c04 · inbound

Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search cites this paper.

Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:52:54.874991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9b353492-6e77-4801-9a3a-5f8deaebfc82 · inbound

Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities cites this paper.

Quotient DAGs for Off-Policy Evaluation:Forward-Flow Importance Sampling and Exact Slate Propensities M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T09:03:15.753928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ffc61369-1a65-44da-9c89-1603c45c1675 · 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 M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.329304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation acc0b0cb-8675-4aa2-b03c-232eb9f4b2d2 · inbound

An LLM-Powered Semantic Alignment Framework for Journal Recommendation cites this paper.

An LLM-Powered Semantic Alignment Framework for Journal Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T18:05:58.524338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 55187926-ce4f-4679-b144-1d1e8463673e · inbound

Probabilistic Residual Learning for Online Recommendations cites this paper.

Probabilistic Residual Learning for Online Recommendations M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 150

Resolution: unresolved; no resolver link, observed 2026-08-01T09:14:55.302886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a78ea6b-52c9-4f0f-86da-50f49a2ebc65 · inbound

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models cites this paper.

GrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T12:15:44.808833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27fd841d-b17b-4bd3-8c51-8338358621b8 · inbound

Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models cites this paper.

Improving Rare Medication Recommendation with Counterfactual Data Augmentation and Large Language Models M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T09:10:46.029636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc0f426e-9ddc-4ba0-ab03-1f598e070e53 · inbound

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation cites this paper.

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T02:42:44.730233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 838f0e71-137c-4a77-9266-7ce13090f82b · inbound

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

Hierarchical Latent Reasoning for LLM-based Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T01:50:20.311731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3933f9f9-7d32-401e-8611-45f661b2e2b3 · inbound

MetaStrategy: Generative Ranking with Executable LLM Strategies cites this paper.

MetaStrategy: Generative Ranking with Executable LLM Strategies M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T17:26:33.052187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3786fd2-8200-4eef-90dc-764660321be6 · inbound

Making Collaborative Signals Count: Graph-Aware Large Language Models for Sequential Recommendation cites this paper.

Making Collaborative Signals Count: Graph-Aware Large Language Models for Sequential Recommendation M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T00:17:07.450108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.