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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 37 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 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 37 of 37 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:30:20.495171Z

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

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-13T19:39:32.740496Z digest=sha256:38018eaf17664fcf0e3ac309d445757a654af70f7060082f61cf68505a57c4bc

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T22:19:41.648222Z digest=sha256:62000d9bc6355b1edcc8ea6c6fd264f2f219380522c7fa2dbf04e30def0586bf

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

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

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source=pdf_text observed=2026-08-07T13:30:20.495171Z digest=sha256:311537b70497655db210000f332caa4d03e5e8261e0b1f07b4de22b53b68420d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:31:39.975207Z digest=sha256:57f90ad635c95748494f514f198a2126f3f89d8c31945b97dfd5e4e5b34bf3bc

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

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

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source=pdf_text observed=2026-08-07T05:14:53.725271Z digest=sha256:ca81ab806add7a42994f7af8244b25586df443434ee8a1dd57b2672083541f06

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:42:44.205655Z digest=sha256:8747ac293b30b1b4b705373cae2c18ed140e60f5d9f892174ac091c9d1258073

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:23:46.831165Z digest=sha256:9e7c30166ade5fd439f522ab3634778fbde0286c744271de1db67fb8cb0a27ea

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

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

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source=pdf_text observed=2026-08-06T19:21:37.015142Z digest=sha256:a35e182290071b0dece6b6d9866dee54a4b4b558def99ef9ff7cb8d1cb80e9e1

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:47:31.861404Z digest=sha256:91f15ffa357cd1caf84edf2f2b72f5476c9b63ae256e8737f80c8c96eaa1b996

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:41:36.069277Z digest=sha256:af7f62c6cdd2290ffc75b6690949db195e4bd2d764452d7cb336a28b2fb05af1

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

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

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source=pdf_text observed=2026-08-05T18:02:16.804313Z digest=sha256:a13f9cc18010a69023eb21d79f591ae489d4fc38d33889674d84bbf5a45709e7

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:24:50.093429Z digest=sha256:41b0dce37445a9b4a7544611c193c6f17692d605c92c8279699508da71b43a65

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

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

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source=pdf_text observed=2026-08-05T16:15:27.333057Z digest=sha256:8df220e179a5bd73f673eaec4050f3c036b960d9b149cadbec3c7c92fd7065b8

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T22:56:49.216473Z digest=sha256:a25784c7c842c7f5763a55a10d98a3ab288297f6cfac8d2106cc8e07cf03b84c

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T11:13:38.877359Z digest=sha256:7f6b06c3accfec60e195ffe1370c76677601d251b55b9d7d154e68bd1b6b0a3a

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T07:45:08.873182Z digest=sha256:36f4093e3da557726f098f412ed7796e4b6363c6fc20d3a6555aeb9d3bc99323

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:b96cd3b0f858d55f60502a682ec5c9ec772a3d9b3156324994885c26607ca984

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T20:09:45.442172Z digest=sha256:9816afd8679c40969df9051cc15dc1f993abde8c3514f3f43199f96febcda052

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T09:22:52.783683Z digest=sha256:b7f09d53e14beeecce490e8f96ea85319d8660bc0bbebad4a474bfd2bb82348d

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T09:24:48.941118Z digest=sha256:c4221fb2b6512cf58841378980efff69c4f40144d0333f32ff939e3b1239fa9c

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:28:22.928859Z digest=sha256:d6005f34c43f2af630e1804b53187f839e848dc127c85f75e513185ddc8abfb4

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

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arxiv_id, observed 2026-05-11T19:06:10.422479Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:40:33.651355Z digest=sha256:ad0dbb414e43d91ecde15ba7cf4f6aca5b785bd6f428eb368f4cdb7a89b97208

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

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arxiv_id, observed 2026-05-11T21:01:10.754448Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T07:32:27.258441Z digest=sha256:b2b293b157dafa5c348c4e44be6446b7f3e933b8a9e54d2a8bddc6b2d41dea3b

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T09:11:52.797383Z digest=sha256:0099f901c016b745bf5140203c3b7b86720d33512a961afe71f839f81d96398f

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T15:41:47.819144Z digest=sha256:c7ee75556f86c4ba156eba5f08feb3f6bcab4d04ed1243f9742bbb74c1fd8271

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:58:07.060409Z digest=sha256:7c7a0ea21c1c40efecec2a024741068366dd73dfdeba5124d9f0a073cf7680fc

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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:40:04.856714Z digest=sha256:ff194129f7f6762faae5e071116c3a7f402b9024d04ceaccd81305495f7e5a38

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

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arxiv_id, observed 2026-05-20T00:52:54.874991Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T00:48:49.792353Z digest=sha256:4ed143e33ead812ecede04865fa062166779a46371f265749e4fda4f3db7fb14

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T08:59:43.476802Z digest=sha256:b064244b23ac866baf78e7329ee486c6b4b48876981f134b81135034b67a2ba3

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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:fd4c797d2be8f4475cf0db8724ab2150d7e158b28a4a570decd42869691793fd

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T02:42:12.026696Z digest=sha256:cc4fc23fddfeda1ff11ebbfd0d27329265a9741468926ad332adaf8d22684712

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:14:55.302886Z digest=sha256:56f8eb469a2714b813a02a48000c16ed8b0b505e9401bf99b0497707941c80e1

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

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

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source=arxiv_source observed=2026-08-02T12:15:44.808833Z digest=sha256:3feb7b2cf846a530e95db45532b8797ae794f3b19410592ccd42bd6239460196

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

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

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source=pdf_text observed=2026-08-01T09:10:46.029636Z digest=sha256:e7c54f3210c6da0ff8ca9a69d49c78810b8f4014929aa2e6c371054e15fc22ec

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

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

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source=pdf_text observed=2026-08-01T02:42:44.730233Z digest=sha256:37b2217c9f3d34644296d289bbec7f49e678aaa617cee8e297b273995063fc28

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T01:50:20.311731Z digest=sha256:c7d86adf1f03eaf6430c6aa791e759facaa4ad6efc02ad23ae050eebe8982739