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Paper Citation Record · LEDGER

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 9 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 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:06:02.983588Z

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:f98b94b3fbe8541a9c51f34a1c386fa0018e0ceae32ffa228fdc58d3ab479b32

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=sha256:92ee23fd2e66006b3a9d1dd5da1634d9875b204bb90afb2d1434fbb9c82b86be

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=sha256:1ed4aaacc94cd1c3570f0f20e02ebad3fe7e7af077c21014bfaf8e9d523a8acd

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=sha256:0d0ed2b197016da178a37f820782f90bfbe74149ecd46204a3aa300cfaa9f951

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:33:03.421937Z digest=sha256:1af5ecb575e10e76f2e75650aca5ae91de4e433c4191c8ba67c0b3b627a80792

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:cf3339a9d819fa24e34a16d9c296eac9cb00c89c794c03387b18bf110140fde2

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=sha256:62ced4e2aa80df2f10f82d796ab05b5ac92986fd064241957def857c5f4530b9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:33:03.642913Z digest=sha256:f3cd964994b9d667c442fe5b8639906f7f83c2e1044ff29d52c0d5e9cb490707

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:ff1f78cf45cda6da7331c699fe41d2e879818d795046b407b2ea322b7de76f2c

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:ba9d3943273a7f1be9cf20d81b6bf371d07fee06fedfbe726fb6a227262833d8

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:abc5e9d1eda36f6cdb579db20f616f029be464e08b8f1f1c6292be10108e3dcf

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:c0ea0126f4fe05959aab4e9c70faded623dbe2a38b7e2a4d5198a430e122f2f7

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:f2efd0ee4d52af4c0a6fb4e38b567d59a428e2620e3fd43b3f79a52d9c8686bc

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=sha256:4180664ff0218e6715b215fb6010ae0ba3b3417c6b4c1411160b3ae3ccbb6809

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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unresolved
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:ae0a86e2131ef65de45cdcc799dd6c79bc3df0a97e70e4772d5a0ee698c9866f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:33:04.330453Z digest=sha256:38ab3f73b95c09c56709ecae509ba83c4d670cd3ceeb6049aa5a4d4f3adb3acb

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=sha256:5ddf8d8af2d679a0fd439b4fa590de7c53c7962a875b5a80371927d07e44b303

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=sha256:3c7c173938da4ae509369d485a2e66137652b5893f7f711158226e7c6c0a45f5

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

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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=sha256:26c84e0e0ad016a0bc7c9ba291db7068111d4131889a067b4e221e14530cc43d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:33:04.674218Z digest=sha256:fce774bbb89c4778f9006d10cf74eb9769e8529abc154add692d282e147ad8aa

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=sha256:4427e3fd5aeecbed386dae7d27363fb0ea3b8d576fee0d9ca8c9b64932814f49

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=sha256:9a3b1281c33260053522cb49941b8a7356435fe41dbdc3ca9a066fdebb537185

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=sha256:94ca816edea2026b288888a827199926c3363c761b1f1ed5da55578f9c1fe771

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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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:beceadb9d15cbffbea72e43d3f23841eef1a0475f85127b53114d48ded5308ff

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=sha256:1217b826b5e836553546bb84a4193961980b73f3dde81065a9d7992e38f87d34

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:33:05.173132Z digest=sha256:a0d282ab9fd44da30a2a0d9cee17e6943fe726061fc26a4b7f9e5b34ed174303

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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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=sha256:8ae6f8ec31f960e042f620c341d61bb022ed82015aae3dabc0868758c61e9d40

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

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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:abacf4639dfe37b89df406bd433e49bcf0c4eaaa2a7efb19590853ea664bd562

Pith citing papers

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=sha256:0cb77b16c731ba1b1a1a748e46b28a900de55d9959e8165e2c3cba0a3b1be205

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

Resolution
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=sha256:92c401635e0d6c0dcc038afeb247bca290df7d9f92fa8a28050af0001e6e0d9c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T22:56:49.216473Z digest=sha256:abd12c377433021859aa0936f4f227c4bb02dc339b8e07b73bb020e431a97a49

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=sha256:123540278a2d822ce55ad345dce494ec0e7ed597da1c146536849b24635407c1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:aac58928c771a2f062946fb7a1345041e601af12b932eba55b1cc44cc8d9a28f

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=sha256:88acd92727f4ed1ae539a1f32d1cd4f65760f4706d09050df29362072df7fda9

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=sha256:369414e50f07ba135a36ffdf9ab4a1a5addf5552077dfc550916936320729ca0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T19:16:17.841338Z digest=sha256:800e8d23bd444500cd6be056590e36fff35deebbf37c59282b7589bba76b07df

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T18:47:39.068451Z digest=sha256:151be149843e66cf5cf7284e4f7cc000faa7e43355553d659e05ab590185a8b3