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Paper Citation Record · LEDGER

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

As of 18 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 13 inbound Pith citation observations for arXiv:2505.18654.

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

pith.paper-citation-record.v1
2505.18654 v4

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:05.262469Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:38:14.453991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:50:52.012402Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved27
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31673a0d-0ad1-4df7-af86-9eac031322f4 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-07T14:33:03.032877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.032877Z digest=sha256:1078d0188504985e9f8b204bc28dcee869020a4aef6f83269479deba109c0243

Observation ebf378ca-6143-4314-8cd3-3b3c903f9f27 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-07T14:33:03.170756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.170756Z digest=sha256:a847357c21e07697074060215e58fe14703347ad11dbfc4dd52d0272b137cfd8

Observation cb0f4852-c6c9-423e-9801-f74a075a5e9b · outbound

This paper cites OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment

Reference 3

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no resolver link, observed 2026-08-07T14:33:03.252089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.252089Z digest=sha256:dc063f0ebd20ca950d8c579e483bbf887cefc36e9099d88d4671c05b7de2efb0

Observation 67f280d9-6d90-4a30-9b86-72978ef20f41 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-07T14:33:03.346687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.346687Z digest=sha256:53a1d175be8bcb18867bbfd884bd809e5963475ea82dc84ea96e84f744065a83

Observation ca1a788f-f28c-44f0-b123-eb42865b7dbb · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:33:06.231221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:33:03.421937Z digest=sha256:4f7141fea6719da038427615d8a276318a576241d25d2196b5582afbe1bb0894

Observation 37341bb3-afe4-4dae-954d-639f0c696d66 · outbound

This paper cites On the Embedding Collapse when Scaling up Recommendation Models.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan On the Embedding Collapse when Scaling up Recommendation Models

Reference 6

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no resolver link, observed 2026-08-07T14:33:03.498756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.498756Z digest=sha256:4b8154cc03d2f16d5a78e965f0d54b7f8da905f2f5db8195ea9b968495f28c1c

Observation 98faca8e-d8d3-4a3e-98c3-b47e7ff43a5a · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:03.565861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.565861Z digest=sha256:063a97ac8629e5f62584423c8aa1c5523144bf1f5f1b21baed056bc06b1f4edd

Observation 92b89d72-4133-4927-8ce4-2007cd2f002f · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-08-07T14:33:06.104056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:33:03.642913Z digest=sha256:c3c88d5f978d0f48d8742ae7318e47c751b9dbfaf51691bf0a4834928865cecd

Observation ec2fbbdc-266e-4c9e-8a9e-df6252df48d7 · outbound

This paper cites Scaling Laws for Neural Language Models.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Scaling Laws for Neural Language Models

Reference 9

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no resolver link, observed 2026-08-07T14:33:03.714782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.714782Z digest=sha256:b27218e10d1d19ead06b97670578a2f4bd0856e7cc0f9be478a90d9c434cc33d

Observation 474c3052-0c21-448d-9cfc-890b01237fcd · outbound

This paper cites Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance

Reference 10

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no resolver link, observed 2026-08-07T14:33:03.785519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.785519Z digest=sha256:556562a713510b9ad43ec94319c4a8b831e2f3e0e2796da1410501f234bb6612

Observation 26b92d73-ae87-48f4-b06b-3189d566d8b7 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-07T14:33:03.886068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.886068Z digest=sha256:fb6e3039efa385f77a5bba668472a298d1d5f7a9e832c7a36ddbfd950faa9309

Observation fe4ff549-c732-4431-9a93-e44deebd457c · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-07T14:33:03.986646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.986646Z digest=sha256:6b345066e8ceb6cc4269f8d005998469c41af1cd8c58d169eaa0eb1b26f0bde2

Observation fbc2b10a-8d9b-47fe-b3ce-71536d7fa865 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.059175Z digest=sha256:53ddb16acd14baecaffab785072744397426cd66e939f82357d2088fa2f9ec02

Observation c63bedc3-51b6-46b2-8342-19dcf285cfcf · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-07T14:33:04.155111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.155111Z digest=sha256:7d6bcd9b99e02de9a0b729248b3b54451cc8c0bc0943e765733513d1ce029951

Observation 0d546b17-fe09-4da2-a54a-b05f79fa4ceb · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-07T14:33:04.231912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.231912Z digest=sha256:d8638ff36aeee151cbccd58341be2ad59a42816685ca6f4551d352542ecbfda1

Observation 6ca7b64c-7e60-4c6d-a4e8-76ecadcb0b35 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-07T14:33:05.937837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:33:04.330453Z digest=sha256:2c6f23b3786361a7cd74f75f38761eddeaf30535d1d72cc8311894ce53d69d7b

Observation 1a992e2f-977a-452a-a4eb-b20a9ee31f18 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-07T14:33:04.403075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.403075Z digest=sha256:a837776c71774846a5373703ef8f97b525799f7b54de92dc2ccc469f79368e38

Observation f1121856-8173-440c-9030-bb5a8098bed3 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 18

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unresolved
no resolver link, observed 2026-08-07T14:33:04.479981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.479981Z digest=sha256:6276e5956312a9a3e1a600bb6a168e3e44ec0a75cd53f62d0a4d9335b055d3b4

Observation 268f67ae-3e01-445a-9c92-feee89c668c7 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:04.571976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.571976Z digest=sha256:f2d4c05c82ce3fbcc4576555ae46f619efd38fc4a3408b3a6312e9fbc7373b5a

Observation 4477ea9f-2a12-4b5d-a156-e54bdea0d1f4 · outbound

This paper cites HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:33:05.596942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:33:04.674218Z digest=sha256:db21d7cd8c4f0220572478b1407fc6107bb3c67a7a79ba3c0bd06736d102ec59

Observation 1b83a3f0-874b-4e3d-a043-3f872549f657 · outbound

This paper cites MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:04.744928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.744928Z digest=sha256:556ec4e2221b1393ff80e676a939b13f46597c1c24660e56e04bb3d66abdc2da

Observation f9e39e3c-c840-470a-a29e-37708cde2e94 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 22

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unresolved
no resolver link, observed 2026-08-07T14:33:04.834778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.834778Z digest=sha256:3d03ed618519c8ced960aa77c3473b58349808057bd995cd988bb2093ab15e8a

Observation 2596e589-a436-46c8-8f0a-4d3921bd9c2d · outbound

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

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

Reference 23

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unresolved
no resolver link, observed 2026-08-07T14:33:04.898758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.898758Z digest=sha256:db5bc18ae5a34081185af7cd523a1cb44f3e4f2d834d239f1850a0a769bb541d

Observation 80fd138f-cd6d-4271-aea0-c63eb4a4838e · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 24

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unresolved
no resolver link, observed 2026-08-07T14:33:04.999949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:04.999949Z digest=sha256:2f887128c712852783c1fa88590103227d36b62ece9d6f76ab18cf0c0a2019e4

Observation 4aa05ce0-2fd7-4a8c-986a-a4f57ebb8e67 · outbound

This paper cites Wukong: Towards a Scaling Law for Large-Scale Recommendation.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Wukong: Towards a Scaling Law for Large-Scale Recommendation

Reference 25

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no resolver link, observed 2026-08-07T14:33:05.097537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:05.097537Z digest=sha256:9051ab5e1ba6b87f84a55e2a2a30bfc0ac7e2fe68d0b32d556a84c3f2ac70f40

Observation 4857f152-d824-4ba6-9602-dcc41426cd55 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-07T14:33:05.773735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T14:33:05.173132Z digest=sha256:7c63f48c84eb353a15993c842b05f13d6b97777e459fc31b9256f145ef051870

Observation c31103ef-80a9-475a-bef8-428060f20d12 · outbound

This paper cites an unresolved cited work.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-07T14:33:05.262469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:05.262469Z digest=sha256:5efcf2e5654831af07795dae70f61fe4b5ef4e5a3e1705ffe1288a5678ed5d21

Observation 77db7895-b3d4-41e4-b72a-653b9f804dac · outbound

This paper cites End-to-End User Behavior Retrieval in Click-Through RatePrediction Model.

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan End-to-End User Behavior Retrieval in Click-Through RatePrediction Model

Reference 2021

Resolution
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no resolver link, observed 2026-08-07T14:33:03.077344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:03.077344Z digest=sha256:934cfc307f83799a8f16dba0888e082549b1c7a438e4ca886fd038556fb20b29

Pith citing papers

Observation 4504f716-ab6a-49a8-b1d1-abd3cd93e7f0 · inbound

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation cites this paper.

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T19:38:14.453991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:14.453991Z digest=sha256:b8ab9b5ab1010ad17325abed2fa6521e6cdba5366519f87df0efdb5ed4bd2e61

Observation 821f3050-5a9c-48f0-855c-c44d256efcc1 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:06:02.983588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:06:02.983588Z digest=sha256:19c750a00d6f2eba4bf73bcaf295418e434f610d975a6350bd80fa6a0eee6514

Observation 8942ebcc-ac49-463c-ad35-e7a711d6a90b · inbound

Request-Only Optimization for Recommendation Systems cites this paper.

Request-Only Optimization for Recommendation Systems MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 15

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unresolved
no resolver link, observed 2026-08-06T14:43:53.783579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:43:53.783579Z digest=sha256:878b015cc5d10ba45e3eddcc844c21bc16e02c1e09462e2848173fa331b681dc

Observation 521d9be2-d02c-4a5d-a43e-c41310463a13 · inbound

OneRec-V2 Technical Report cites this paper.

OneRec-V2 Technical Report MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:56:49.283906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-16T22:56:49.216473Z digest=sha256:8a142538ce734c536fd5f1ba5209b33298b9e61aa5128ede075943daa150e381

Observation 87695116-8e14-4289-943c-948ed748e700 · inbound

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives cites this paper.

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 42

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unresolved
no resolver link, observed 2026-08-05T04:42:44.065799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:42:44.065799Z digest=sha256:621abec3e49e3687279f9bfb626acefe668c39f8164366f31c7f9d1a06cb06ca

Observation ba94b8cd-4887-4720-a1f7-3d8072b4dfb6 · inbound

UniSearch: Rethinking Search System with a Unified Generative Architecture cites this paper.

UniSearch: Rethinking Search System with a Unified Generative Architecture MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 6

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unresolved
no resolver link, observed 2026-08-15T16:19:47.019535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:19:47.019535Z digest=sha256:9b8f0883a735f61a3200419d09e89cab006773218ae2cdde7475ed1e2b41776c

Observation 1ef87426-b5e2-4d33-8940-f94faed1deaa · inbound

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

A Survey on Generative Recommendation: Data, Model, and Tasks MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.015572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:7288ecfa9c060209a05872d7c98286cadb0f0bf10bbe37346fa64084fa44ecc1

Observation 74b9dbe7-6d5c-4648-9f0e-038e5b2eedd1 · inbound

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation cites this paper.

Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 10

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unresolved
no resolver link, observed 2026-08-03T04:15:15.333416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:15:15.333416Z digest=sha256:7146c384267a00b63cdbe4b0f110677bab30bffa995095de28c43a38e391948b

Observation 8605a578-ee30-4c96-9b59-4536027160cf · inbound

An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking cites this paper.

An Industrial-Scale Sequential Recommender for LinkedIn Feed Ranking MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 11

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unresolved
no resolver link, observed 2026-08-02T23:53:31.863675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:53:31.863675Z digest=sha256:5ad7bbd33106878c3a5fa22fa6db6afbe19310f8bb33ef8441f475132761f134

Observation 3d59ea50-a35c-4249-939c-658f39c37d71 · inbound

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan cites this paper.

MBGR: Multi-Business Prediction for Generative Recommendation at Meituan MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:18:09.329538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5eb6d7e2-1217-4ef8-80aa-c7b798fa59b1 · inbound

CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent cites this paper.

CCFormer: Efficient Cross-Field Interaction and Hierarchical Sequence Compression for Industrial Recommendation at Tencent MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 15

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no resolver link, observed 2026-07-31T18:47:39.068451Z

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Observation 8eddd660-9f41-451e-ba33-580481ff4b34 · inbound

Sona Technical Report cites this paper.

Sona Technical Report MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 2025

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no resolver link, observed 2026-08-12T12:11:48.056068Z

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Observation 3ad2700a-7607-4f62-b321-ec7140653efc · inbound

Sona Technical Report cites this paper.

Sona Technical Report MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

Reference 2025

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no resolver link, observed 2026-08-15T14:19:33.998497Z

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