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Paper Citation Record · LEDGER

Scaling New Frontiers: Insights into Large Recommendation Models

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:3acc3cf5672d87c0d07d16ff286759abbba821b2734fb550b2418596809a48eb

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:a14804f4522904aeb519e68e484f3618e27c8f1734c4249e14813a542a92de59

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:b523a48bbb54511a2c28a2bdd19f028fb5509e38d0787c95301f1b1f1bb206d7

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
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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=sha256:56b6f4ebde0ebf1af66704f1a1ed653a17bf065f9f3ae7d6289139e261a09148

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=sha256:228b29ca9ebc54ebd1495cb94a54b5963a6938f0547dd613159fe5f5acafc1c1

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=sha256:171ac03cb340d96b47eedf263527cee286bcca0000e0e973a2c4a04e2348f1de

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=sha256:52988c4b030afcc080d84db902183a31833214b29ec7bfe59b6d669beeedbc7a

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:f4502326e5d803da15f9b9944d47b933ad1987370c9b6322dbde0f7931e9d6a5

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:e82da1ee3ccc02f03ce2814ac8aa79b9419e98922cdedae79b9fa957832fc594

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:c14389a57512f62134c507042fce6d37f53c77062145161d3e6eeb1580a04d65

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
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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:b3c134be24c2b4f20996bc8cf115e7885e8794d9995e9abde50996e2a143dc17

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:f25decea1602a847a4fed9ea4c0cb7699a3735e01ffc3f54f7e7d1fbd2688d9b

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=sha256:2d2267197da3ea618cf2e8f8da19d2ee9d32c3773d0e74affca489990e1a857e

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:bde2e4bf7c5acd2db09d94ccfe6df093a67fe2e8f5072947f493f61203bb5184

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=sha256:7a7a0557f305e6a94a20151ba8df843f4a427bf91d8954a1a456dfe94f0e299b

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:fecc7cdc2c4ef1ca9c37d7e22ff4ac8ddb56a41c447ab42984924e5f02139ad3

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=sha256:91737e46154d9e5d8ed089b9c1ae6a922487484dead04aaa583c759ba21dc6f8

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:f709fa40e931c3beda333fbdebe686ff86d44a2ad5b3e8fa89e207af6a048bd0

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
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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=sha256:6ed2e5b76a67d38ed6723ecb8eaf106e1cca26c8d66505bbcd80dc1e58b7768f

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:ebec0894f9c41e68f08d30552f32e1e9cc77504c7e4f29ac33df38478bba414b

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=sha256:00d6dc7a34ecb14c4b698e6a7009866bfd8689eee8b810cffee089d38bd106c6

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

Resolution
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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=sha256:6d4a14a36d25b3775dc52df83ffe742586c315a530f2f9817bbc9e7f80cf66e2

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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unresolved
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=sha256:890e70e10ca5568d54516143bfe3275b675846d56d13f27b06a464ada3ef147c

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=sha256:72874349c317976c4edf87b87a8c1e1475c443196101e30ac19ee824561aaa37

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=sha256:46239acf6176a84038028037bae357b53e272c915e1446499e8518af71efd08b

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=sha256:99248d788437f65366cca2185f68a6d5020d6d051104258716819f32bf8ae2e7

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=sha256:794ae40360416057b389c19e7783e1c069b55f8ce1b41c09e087322f6b74f9b8

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=sha256:71fe647d786ed60786aa00ddaf64d6b3c9dbb2367e99479e3ba9cde917d28aee

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=sha256:8d27c3464f68459d9c88bd21ac8d842e6b6e7c1fc3c34ba2d11201a9134732bd

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=sha256:21dd9c554d1dd70f7a9ca75cf033877f77c47f8c4e5869bad3ab58c314470d06

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:aed124e4a6b6f4ce4596a9a1822223b8c9cc3171c02406164a0b6a65ca234a44

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

Resolution
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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=sha256:00c86712792b58c3646e3ff25e00c751ead6dcaaabc1830da654fc0a1e448a80

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:a324c132df44146d20ee5842288100f44b0b37a00caeb6e5f04793fbea59b807

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:e11f6e654cdd2efe95facb62dabd5088d8760a695e44c07d8a7e094a1118935a

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:bc77eab8366b6ce1f3b9a43078c6e165ef0540622c108e0443a733013f2d519a

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=sha256:9651365da79bf81e49c5e66ba282525379f7ba48b487bdb84506f9fa3fb9d772

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:cdff8ad96206a57efaedb45af8d9b33f600e8569682836b58f484164acccc13b

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=sha256:4001d398c9e8febb9ac2c6852ead29bade40ac2046319a9b7feaa6f5795b9d4d

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=sha256:377a6a98fafcb2353aaace80820a37941435644657835a9b78933b1ca99768db

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=sha256:0ccd3bc3d6c4743a1e73bd01683c740822da40a2ce93ff3dca816d0d7587ecbb

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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Reference 45

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Reference 46

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

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Reference 47

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

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Reference 48

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Observation 3730d647-099e-48d2-af01-fafcdc3facad · outbound

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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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Observation a763c9bc-592d-466d-aeb2-79eb8b6bb2ce · outbound

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

Reference 68

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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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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

Reference 79

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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

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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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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:ee54a82ce4c4238a49e1e99656ae17c5665d64e8e542d91570862c75fa08bb85

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 2026-08-17T06:30:58.91139+00:00.

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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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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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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 2026-08-17T06:30:58.91139+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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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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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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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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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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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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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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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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:f268757ad4605c7389d7bca2e600d84409f2153e85a2bb834b10363f9a625175

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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source=pdf_text observed=2026-08-05T20:25:11.873860Z digest=sha256:d952bb6294b1b7ffbc5fa243df21d0de738366dc9ad0ccc7dd09dda4b41adde7

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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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 2026-08-17T06:30:58.91139+00:00.

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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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:08:55.090214Z digest=sha256:bfae49b80c8b6a9e951f278acd640bc84d2f23f78e6e65fa8d521988f0b0b89e

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T22:31:33.393370Z digest=sha256:0c921cc20bf9606f67cd64b438059a49fceffeb606e4150802f022f53dcc6f48

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

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T05:29:49.474591Z digest=sha256:43d09c8db15c8dd8cd91fcdb25636dadfd7adb28f08e5acfbea56001c134de64

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 2026-08-17T06:30:58.91139+00:00.

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