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Paper Citation Record · LEDGER

Scaling New Frontiers: Insights into Large Recommendation Models

As of 21 August 2026, this Paper Citation Record lists 100 of 146 outbound references and 16 inbound Pith citation observations for arXiv:2412.00714.

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

pith.paper-citation-record.v1
2412.00714 v1

Coverage vector

measured 100 of 146 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:10:44.518306Z

measured 116 of 116 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:29.907770Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:29:41.993245Z

Reference resolution

100 of 146 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fafdad7c-0c53-496b-b129-84e06e10db3a · outbound

This paper cites GPT-4 Technical Report.

Scaling New Frontiers: Insights into Large Recommendation Models GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.193543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.193543Z digest=sha256:a74bf576bf42558fc3d2165654586083ba4d17cb00753e60ea9274634ff12a86

Observation 63ce1cfc-1d7c-4f29-aab3-d08a2ec3cf10 · outbound

This paper cites Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve.

Scaling New Frontiers: Insights into Large Recommendation Models Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

Reference 2

Resolution
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no resolver link, observed 2026-08-12T05:10:44.197569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.197569Z digest=sha256:2f732532a2cbabf379cf38c81d6ab8a76fdca6f2293768bd120e72d3ddeeddf5

Observation b0c17e84-5532-46e6-8db3-6a3b26dec18f · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.201157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.201157Z digest=sha256:25a8b12a9354c9221fa5e08f2cca2194b9e33e5f4ab97a264a78c22e1412e7b3

Observation 24f02c55-0d54-4fac-ab63-bbd1514ea72a · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.204955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.204955Z digest=sha256:178179430b08de94271e41a18e6ec15636d139ae405bbb315fd960057bb8c780

Observation b4a5a324-cf58-41db-96db-e696e46f3a99 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.208031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.208031Z digest=sha256:6b404e2771f27fff6357f2ff1a410d3048335d4ce73dddfac5991266e2d22390

Observation 84eb822e-38c5-4eee-a3fb-b784eb61a50a · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.213074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.213074Z digest=sha256:6643acc3f81fd927bc4dca9f9f31fc58deb53f13ba9d1a7bc562f0d4d9451af8

Observation f89a14f1-8794-43b2-83b8-dc58e384d672 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.216438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.216438Z digest=sha256:df96a34637946b49032fd0c2749cdb2b6a70b3edf617ce6631e452d785af9dd9

Observation 186980e2-2ced-4a56-b166-94286732d4b4 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.219365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.219365Z digest=sha256:ab6e400b1e4db612bce8522730791049385a873b48a0c50f3216cc4a10c182d8

Observation 7771b959-a58d-4bdd-a062-5a5b539680c8 · outbound

This paper cites 2018.{TVM}: An automated{End-to-End} optimizing compiler for deep learning.

Scaling New Frontiers: Insights into Large Recommendation Models 2018.{TVM}: An automated{End-to-End} optimizing compiler for deep learning

Reference 9

Resolution
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no resolver link, observed 2026-08-12T05:10:44.226000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.226000Z digest=sha256:26d726e74e672d92156345257fd45488864ea25c15112f824b85be2ad5b93004

Observation 278193c6-1e98-427c-950f-082214177bd7 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 10

Resolution
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no resolver link, observed 2026-08-12T05:10:44.228695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.228695Z digest=sha256:ac08ff110d3f269839914bd1dc4e4341fbe2598f4ab4cb2d78c38459b217a1a1

Observation 647ea029-deba-4b0e-b18f-e592bb52c404 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.231581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.231581Z digest=sha256:108902c1f55e657e1e474070a7923c8e8d9fd6e2df8a140541f62b447613115a

Observation 8ea7f662-c99f-40e5-a2a2-d5ef106673c9 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.234489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.234489Z digest=sha256:205179206f29667d19fa73d82783cebca48abd2a544b38bb2b51a60bf1dd9b05

Observation 7bb74f16-a5e5-454f-afc3-06dccb5eab5a · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 13

Resolution
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no resolver link, observed 2026-08-12T05:10:44.237335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.237335Z digest=sha256:72ff9f2aff5706fa68d7c72e298f106b6c6062f1b70cc2792a59700a4e3b3586

Observation 9ebddb26-1223-4446-83fa-ecb946079aad · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

Scaling New Frontiers: Insights into Large Recommendation Models FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 14

Resolution
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no resolver link, observed 2026-08-12T05:10:44.240201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.240201Z digest=sha256:74b923ec9700e56f4c0aa2568b6200ea01eca9a00c418ca0a80c5fb6b8af36b1

Observation ea7ae7ef-e80b-41fa-bb57-8547164261f0 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.243392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.243392Z digest=sha256:f829335be5f4bf9fe746ab25c8ea29e81fe1651540f4cf84f57d9b35807c86ad

Observation 36767317-8b60-499e-8e5b-cf4c4fa206d6 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 16

Resolution
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no resolver link, observed 2026-08-12T05:10:44.247078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.247078Z digest=sha256:a485b432b595257ed27d4dbb149b77878fea457d30b9ed8ad4a51b3c4b754085

Observation 0d0a1505-22d2-4292-8d43-e46c9c597eb3 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-12T05:10:44.250094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.250094Z digest=sha256:b7fd0347da6f05439a41ef72cb919c75259dc05b17e04e07aee2ea32dfeb9637

Observation 5edf417b-cf65-47b1-9e3f-28f7ca4dff4e · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-12T05:10:44.252824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.252824Z digest=sha256:2381c1d09b38b59a9890ccc771278aa2f30db2f870406d93c63154ca0d0cae11

Observation 3022f4de-913e-423d-9668-6958116e6ff9 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.255755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.255755Z digest=sha256:5ce003b764b772bfd3eac9cdcd39c58bf0f98feff2ba56d932e19dfbf38be9cb

Observation 48718b34-0a1b-4965-bc48-b321b8f81377 · outbound

This paper cites DeepFM: A Factorization-Machine based Neural Network for CTR Prediction.

Scaling New Frontiers: Insights into Large Recommendation Models DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Reference 20

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no resolver link, observed 2026-08-12T05:10:44.262423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.262423Z digest=sha256:1991af56647a11804adbe42d32fd23e44e80ad6a260dfe46f8dd363c2de32308

Observation 7d6fa26d-fd6f-474d-9c51-70a89c00874f · outbound

This paper cites In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval.

Scaling New Frontiers: Insights into Large Recommendation Models In Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval

Reference 21

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no resolver link, observed 2026-08-12T05:10:44.258820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.258820Z digest=sha256:6583ad4184f38a690d6433f1931f888e3e2deae2716fff29be3b49e0616136b9

Observation 8ac212bd-fef6-4d06-ac86-48321a0018d4 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-12T05:10:44.268804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.268804Z digest=sha256:179c83d774ba2ed3a5529098eb2167623892c8b976bc2f3c6223b5d5eb0b01c3

Observation 901e51ff-a5aa-4329-8617-b994d33e0415 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-12T05:10:44.265907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.265907Z digest=sha256:86ff1bf56f5daae9e66d700af786fd4a1251d3498a04c028c3307489021e8b03

Observation 049e08c6-389f-4c01-956d-58f4237c5177 · outbound

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

Scaling New Frontiers: Insights into Large Recommendation Models On the Embedding Collapse when Scaling up Recommendation Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T05:10:44.274561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.274561Z digest=sha256:f4626f60b77091b12bfd3ecc12afd37ade834634ea40adb1e3282d9d9079e085

Observation 5a5c505f-d212-4824-bb81-e16e4cf2cb77 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-12T05:10:44.271665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.271665Z digest=sha256:b63ced944013f4a8371dbfbe685d2b2d104a836f84f90b2ae394be0065c33946

Observation a0f36563-b998-4132-9e7a-0bcfdd757781 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-12T05:10:44.281373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.281373Z digest=sha256:e9c60c45eaa0797693ee5d106836d2cb068bb8ee8e9b3618ed55d3ae1b977f72

Observation b127b098-adbf-4635-af8c-36a9e10212b4 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-12T05:10:44.278699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.278699Z digest=sha256:73836aa10e79e048a9a1e78f4de490bd44ec4e7e9d3ddc3fced6faf3381a2bb7

Observation e06ec144-42ae-4122-8147-5f26da83c238 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-12T05:10:44.288829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.288829Z digest=sha256:d5f24d142b075425b0680548e4077842133231f4bd830c468578adf232e61278

Observation e7e987fd-0b7c-421a-87eb-ab6115a64d52 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-12T05:10:44.284929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.284929Z digest=sha256:7fb044b1c3c1c66374fd7c0f32d6ccc22cd364ba19f34433d29c001ad4bc6632

Observation 486e0b97-967c-44a2-86d6-2a17c9415506 · outbound

This paper cites A Survey on User Behavior Modeling in Recommender Systems.

Scaling New Frontiers: Insights into Large Recommendation Models A Survey on User Behavior Modeling in Recommender Systems

Reference 30

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no resolver link, observed 2026-08-12T05:10:44.294481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.294481Z digest=sha256:beec1fe2dd330033d69b5e0a4d48014efbf032b24c8557769d4fc3f4cf738011

Observation 85e35682-1b78-41a3-9031-8c6d20ebc5e2 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-12T05:10:44.291734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.291734Z digest=sha256:5195b08ec3ce74952c7e6981e66207669de8b39a855940db80c88334f9e42804

Observation 9b52e2c3-d4b1-4afa-9cdf-4999171ba5d8 · outbound

This paper cites KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization.

Scaling New Frontiers: Insights into Large Recommendation Models KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

Reference 32

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unresolved
no resolver link, observed 2026-08-12T05:10:44.300444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.300444Z digest=sha256:c319f68d656fc4f2d6fd70ea71345a5a83f8bd58118261834e0ed09225b0c035

Observation b60cc870-d044-4d0b-b251-fda5db61afa0 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-12T05:10:44.297531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.297531Z digest=sha256:2ba2d1694ead614cb25146475955ff2f2a17e7367c84a4183aed1cdac1d4a207

Observation 58065ad2-edf9-44ef-a04b-94fd1c588e89 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-12T05:10:44.307355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.307355Z digest=sha256:2a3f43d562fb1bc731ba60fc018bf66cc9a244e474a7f3a53da7ed451ee5582f

Observation f7437f15-09b6-4015-b8dd-6fc49f442213 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-12T05:10:44.303540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.303540Z digest=sha256:e8c4520080134e09676929c0a85caf33810e69563e54944db768ac4dbeed052f

Observation ec093999-e2f7-4c6e-bebd-4c3b3ab0ae18 · outbound

This paper cites In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models.

Scaling New Frontiers: Insights into Large Recommendation Models In-context Learning Distillation: Transferring Few-shot Learning Ability of Pre-trained Language Models

Reference 36

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no resolver link, observed 2026-08-12T05:10:44.313436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.313436Z digest=sha256:fe57979d7de2061f8502e5267210eb0cbd5f99c1b5db0e7864f8ae92a08553bf

Observation ec26e4ae-f965-484e-8362-190fb68e469f · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 37

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no resolver link, observed 2026-08-12T05:10:44.310157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.310157Z digest=sha256:510efa1157839b159fe9c9c93476d738b80ebbc278ec78de20e312eeb4189c34

Observation 52c52687-aced-4e3f-8405-58212fcd8e27 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-12T05:10:44.319182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.319182Z digest=sha256:ea043fa2127d513fde02eb87f457da7227b3894c7a0c9acb238c20385a8d1b15

Observation 35bc4aeb-8216-42f7-9693-b9b0999cfffa · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 39

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no resolver link, observed 2026-08-12T05:10:44.316481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.316481Z digest=sha256:255b666c07daf2ab727edebb67bf1a6eb7e0fd119078c26ad7445a997b4cedfb

Observation a71a94ac-7fe9-40a3-b6d3-38426022dee5 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-12T05:10:44.325346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:10:44.325346Z digest=sha256:a0a04c6016ca2f450ab1fc9c8837111fb70403db03debf9ec76b2db9924a6327

Observation e9ce6abd-fb4a-455a-b84e-36172fee2c74 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-12T05:10:44.321900Z

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Observation 75c5dbed-a5a7-4057-96ef-c4056b6239fb · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Scaling Laws for Neural Language Models

Reference 42

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Observation b9196af1-1c73-4a9d-b664-2b027304825a · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Kang and J

Reference 43

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Observation 7e7c24c6-c29d-4a58-96cf-9f4e25010677 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Variational Graph Auto-Encoders

Reference 44

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Observation 5891ee4d-dbc7-423e-b6ea-204d22b87311 · outbound

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Reference 45

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Observation e123a888-e0be-4bd2-b828-5d32f82eff40 · outbound

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Reference 46

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Observation 082e2efe-19a9-4039-a97b-752bd9161aa6 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 47

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Observation 55890cbe-5f66-4355-b67f-546bf3f2aeb7 · outbound

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Reference 48

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Scaling New Frontiers: Insights into Large Recommendation Models Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 49

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Observation 3fa3fe7f-d559-4715-a967-26eebb24f0fb · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 50

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Observation be1c137c-0c75-4d59-9143-631eb07bbfb8 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models A Survey on Data-Centric Recommender Systems

Reference 51

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 52

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Observation 944e9c8b-622b-4854-8801-872d1d758550 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 53

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Observation 0efd63a9-08fc-41de-9146-16e204f5968b · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 54

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Observation e0f36c7a-edb5-420e-bcab-15eba20768b5 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 55

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Observation b455545a-1dc9-41f0-8df6-5edd05d10aa0 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 56

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Observation be2050b8-43d7-4dee-b2a7-2df138064eb4 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 57

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Observation d21df428-c7d1-41e1-a230-f328353ad4f5 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 58

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Observation d6f7aa8c-4706-4d77-9452-3e3bdab336ca · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 59

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Observation 7c5ba516-d01f-47ae-9e30-ee651fe31b65 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 60

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Observation 5b2c9599-b8de-4939-9db1-0addb9ca5167 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 61

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Observation b3ae6ce5-e94a-4f17-83eb-c54e5dfe8b5c · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Multi-Behavior Generative Recommendation

Reference 62

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Observation 06df57cc-99d9-49fa-bb12-b5fd6cc4ab29 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 63

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Observation 1dae3e7b-2c84-418d-86f7-3762600d53a8 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 64

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Observation 2ad2169e-268e-498b-8c76-738b51e1bbc6 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 65

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Observation 847e16dd-bfac-43a7-be2a-8da67435bed8 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 66

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Observation 7537697e-f267-4629-b053-dc4fd6517227 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Efficient Estimation of Word Representations in Vector Space

Reference 67

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Observation 78cc4bee-5aca-4bb5-9f1c-6d43eea6a72c · outbound

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Observation 66084191-7210-48d6-a9bb-d6a1ed1b51fb · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 69

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Observation 8e2d6ac2-896d-4dd6-8b2e-61b8c4b234ba · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation 1f722bf7-274a-41fa-aed9-3badef468909 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 71

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Observation 861ea89a-a799-4100-b292-15090c69c90a · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 72

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Observation 3298f5f2-2c26-4095-985c-d841b54e71f2 · outbound

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Observation e74f8e79-66b6-4f7a-88d9-86ffcf77f5fa · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation 8804ba90-e2b3-4e56-a7b8-18236ec4e96c · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation 7b448cff-2d5a-4fad-b3f7-007a29afeb50 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation 65fd0287-5cbd-480e-a485-99771ab25bc4 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation 8214ad48-78db-4811-ad44-9c7ac22b920f · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation 9cb0517d-8dae-4927-a50d-10384e820537 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

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Observation d1d14a05-1166-4f07-918b-fe4f253f3fc5 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models In International conference on machine learning

Reference 80

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Observation de2b036e-5ec1-4546-a7d0-e11488584dad · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Toward a Theory of Tokenization in LLMs

Reference 81

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Observation 1269090f-e2f1-49d6-9c64-7982b6e06af4 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 82

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Observation 0d12c801-b125-46d0-9cf5-6f948cd9aab4 · outbound

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Scaling New Frontiers: Insights into Large Recommendation Models Neural Machine Translation of Rare Words with Subword Units

Reference 83

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Observation 436a3b67-ee76-46f3-9349-b3629797054c · outbound

This paper cites Horovod: fast and easy distributed deep learning in TensorFlow.

Scaling New Frontiers: Insights into Large Recommendation Models Horovod: fast and easy distributed deep learning in TensorFlow

Reference 84

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Observation 587fbeeb-0ae7-47fc-9dc5-479a02328d3f · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 85

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Observation 1068b25e-31d5-400a-89bb-9b656fad1a28 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 86

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Observation 4e18d2c5-bf47-495f-8c3d-5dc4816702ab · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 87

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Observation e352bd5c-97ef-4e4c-a654-1f736f8fc04e · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Scaling New Frontiers: Insights into Large Recommendation Models A Simple and Effective Pruning Approach for Large Language Models

Reference 88

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Observation cca803b3-68f2-4f2f-87c4-244fa68dee10 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 89

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:10:44.486673Z digest=sha256:5c6e9ee9cd5716619ed4c770a7dbdd09a1c2f3bbdd07de54d8c52cb21427d402

Observation ad32b0b1-1a49-4d6d-be9c-0ddffcd1d044 · outbound

This paper cites Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation.

Scaling New Frontiers: Insights into Large Recommendation Models Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation

Reference 90

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Observation 727fb3bb-b2ef-4ac0-af10-6dc962dd7c7d · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-12T05:10:44.471424Z digest=sha256:2fda9fd02d0d61deb7c0586f1fb28863413d9fbac42cfa1d1110b11a6930d497

Observation c95552e5-8a8b-448c-ae78-89c40557307f · outbound

This paper cites In Proceedings of the 31st ACM International Conference on Multimedia.

Scaling New Frontiers: Insights into Large Recommendation Models In Proceedings of the 31st ACM International Conference on Multimedia

Reference 92

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:10:44.474401Z digest=sha256:597948bc91c5981cf8956e60d860c5fb31f24058061ea16ffb16523124339157

Observation de6336d6-fb61-4011-acfd-93da56deb63c · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 93

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source=pdf_text observed=2026-08-12T05:10:44.498356Z digest=sha256:01e955bd582af52ea87eb752d2f25af036ffe208f1d027c20875075ce39d4996

Observation 0cd98490-d9f9-4c45-8509-efeb93702f30 · outbound

This paper cites Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation.

Scaling New Frontiers: Insights into Large Recommendation Models Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation

Reference 94

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Observation 4b94c108-aba1-4e9d-82c7-214527478ba6 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-12T05:10:44.504327Z digest=sha256:22fe27d1b8c04b5ec093c9d31d2e0b932ace8c5d8704db7c8cdd99df8c15996d

Observation df65aa6a-6a76-4fe8-bc1b-8ea30e44c892 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 96

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation dc80b755-a701-4faa-a2ce-9d6258071a14 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 97

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source=pdf_text observed=2026-08-12T05:10:44.489922Z digest=sha256:da20afc727170d057aacc91f241f650bca38973a1c72f8097223560c25a6c88e

Observation 123d5c48-7915-423a-986e-ccb9f3e2093d · outbound

This paper cites MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.

Scaling New Frontiers: Insights into Large Recommendation Models MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation

Reference 98

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 19294575-ac88-4a55-ac4a-970f7c2c9852 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Scaling New Frontiers: Insights into Large Recommendation Models LLaMA: Open and Efficient Foundation Language Models

Reference 99

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source=pdf_text observed=2026-08-12T05:10:44.495708Z digest=sha256:6699f902f2f06ddc1113fdd3fdd11e9626aa5963b1892ae13560ace97f3732a9

Observation 9e0a6e55-dda3-40d6-a57d-fd9163fb8364 · outbound

This paper cites an unresolved cited work.

Scaling New Frontiers: Insights into Large Recommendation Models Unresolved cited work

Reference 100

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:10:44.518306Z digest=sha256:97c0b3843cdce8e52d334cadbd1afe385eb0ed75cbde44f6ff5daac75af368af

Pith citing papers

Observation bd6fdd50-76ce-4130-83e9-4fb054b96c1a · inbound

Number it: Temporal Grounding Videos like Flipping Manga cites this paper.

Number it: Temporal Grounding Videos like Flipping Manga Scaling New Frontiers: Insights into Large Recommendation Models

Reference 19

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source=pdf_text observed=2026-08-12T19:49:43.364700Z digest=sha256:fa6d9add38e92add9761e5b715a3e5e54db6493f7b26613af27df7b0eab54a03

Observation 7b1bf9fb-3522-4e5b-b591-226cffa10548 · inbound

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens cites this paper.

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens Scaling New Frontiers: Insights into Large Recommendation Models

Reference 15

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Observation 1161de12-98cc-4a67-b7c2-e817332045a5 · inbound

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation cites this paper.

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Scaling New Frontiers: Insights into Large Recommendation Models

Reference 10

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Observation ecb21200-bee1-45b3-a6df-baa0350d824d · inbound

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer cites this paper.

FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer Scaling New Frontiers: Insights into Large Recommendation Models

Reference 14

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Observation 0389cd82-2ca5-4a17-a8ca-d7d48f8f5c99 · inbound

Climber: Toward Efficient Scaling Laws for Large Recommendation Models cites this paper.

Climber: Toward Efficient Scaling Laws for Large Recommendation Models Scaling New Frontiers: Insights into Large Recommendation Models

Reference 10

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Observation b6764d55-f909-461b-b11c-f796316b75ea · inbound

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model cites this paper.

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model Scaling New Frontiers: Insights into Large Recommendation Models

Reference 11

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source=pdf_text observed=2026-08-16T11:08:29.907770Z digest=sha256:920d58937effc7fa3ecb96529b13c31be37391375635b97c70e54b77739f028d

Observation 31995402-73a6-4bd9-88e0-ea064761e1ba · inbound

Towards Large-scale Generative Ranking cites this paper.

Towards Large-scale Generative Ranking Scaling New Frontiers: Insights into Large Recommendation Models

Reference 5

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Observation ee0311d8-fa7a-4f6f-83a1-758ac32da8fa · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction Scaling New Frontiers: Insights into Large Recommendation Models

Reference 13

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source=pdf_text observed=2026-08-07T14:22:58.797999Z digest=sha256:724ba89d9131cabfabc857d2654951db25e73fac01259bb8885d210acc29b266

Observation 9c232bdc-25db-429c-8355-fab48c02640e · inbound

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent cites this paper.

Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent Scaling New Frontiers: Insights into Large Recommendation Models

Reference 12

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source=pdf_text observed=2026-08-06T21:45:03.080310Z digest=sha256:efc2bc27a198a6c1674d9637bf413996c4038226e0011731fba40e380f331069

Observation d53c2b1f-df06-4526-8aa4-9fcbbe45a7d8 · inbound

RankMixer: Scaling Up Ranking Models in Industrial Recommenders cites this paper.

RankMixer: Scaling Up Ranking Models in Industrial Recommenders Scaling New Frontiers: Insights into Large Recommendation Models

Reference 12

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source=pdf_text observed=2026-08-06T15:35:48.356227Z digest=sha256:7fcdf5db5d6c292cac8bea893407cf4ab8f97d33d6d369b4bcc272094d58416e

Observation 93745315-c01c-47cf-99c7-8984da256d97 · inbound

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model cites this paper.

FuXi-\beta: Towards a Lightweight and Fast Large-Scale Generative Recommendation Model Scaling New Frontiers: Insights into Large Recommendation Models

Reference 14

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no resolver link, observed 2026-08-05T20:25:11.873860Z

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source=pdf_text observed=2026-08-05T20:25:11.873860Z digest=sha256:d0516edfb80a00947051777a9f86c2726705f4f769e24e81342f932382d10dcd

Observation f97647af-0a33-4888-afa2-86c99bad6b8c · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Scaling New Frontiers: Insights into Large Recommendation Models

Reference 9

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verified exact
arxiv_id, observed 2026-05-21T23:24:26.141193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T23:23:26.304190Z digest=sha256:289a0bb16d1d1049423f227e0e561082cc75ca44405a98741ed280caed8bd19a

Observation 1265feb9-575d-4aaa-a614-9c07fc1fc7e5 · inbound

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction cites this paper.

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction Scaling New Frontiers: Insights into Large Recommendation Models

Reference 5

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no resolver link, observed 2026-08-03T22:08:55.090214Z

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source=pdf_text observed=2026-08-03T22:08:55.090214Z digest=sha256:41cc7cc5a0a4375a55fed65ed66a3d4bb0c10f92a9f320f37eb4205f4976356c

Observation 64699409-d1aa-4f29-9fda-1e699931b9c8 · inbound

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation cites this paper.

Why Thinking Hurts: Diagnosing and Rectifying Linguistic Inertia in Large Language Models for Recommendation Scaling New Frontiers: Insights into Large Recommendation Models

Reference 9

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no resolver link, observed 2026-08-02T22:31:33.393370Z

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source=pdf_text observed=2026-08-02T22:31:33.393370Z digest=sha256:682c76be389b9cb2b7392a44674ff29456a097e4be424738429b454edce2db4a

Observation 516040cb-0cbc-42dc-a3ef-c1dfc5bff189 · inbound

Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation cites this paper.

Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation Scaling New Frontiers: Insights into Large Recommendation Models

Reference 8

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arxiv_id, observed 2026-05-25T05:30:22.663454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T05:29:49.474591Z digest=sha256:5006a81f8b8e250bdfed359330eeb5f62df86836b5245606f2dd60183d2a03f3

Observation e530f4c4-7e6f-4f55-82ff-924c182ef722 · inbound

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders cites this paper.

The Pitfall of Scaling Up: Uncovering and Mitigating Popularity Bias Amplification in Scaling Transformer-based Recommenders Scaling New Frontiers: Insights into Large Recommendation Models

Reference 26

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arxiv_id, observed 2026-07-04T08:29:41.994536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T11:35:41.065037Z digest=sha256:f89e6226f67833c9f5853afb4f3f9d0a5f24b188aea9ebf29644dcdd9aa2396a