Paper Citation Record · LEDGER

Tokenizing Numerical and Embedding Features for LLM RecSys

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.10016.

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

pith.paper-citation-record.v1
2607.10016 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:43:27.287683Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy0
unresolved48
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c092fa5-1e76-4003-9725-295d5399b46a · outbound

This paper cites Proceedings of the 16th ACM Conference on Recommender Systems , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 16th ACM Conference on Recommender Systems , pages =

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:20.982473Z

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Observation 15f3d302-5845-4125-8518-2197ff90e059 · outbound

This paper cites Proceedings of the 17th ACM Conference on Recommender Systems , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 17th ACM Conference on Recommender Systems , pages =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.057018Z

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Observation 1bf945cd-922f-4bc8-8b33-9b32b211c9f9 · outbound

This paper cites Proceedings of the 1st Workshop on Deep Learning for Recommender Systems , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 1st Workshop on Deep Learning for Recommender Systems , pages =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.147084Z

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Observation 0f7182ec-7b35-4380-8434-8d9d95e0cad3 · outbound

This paper cites Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 26th International Joint Conference on Artificial Intelligence , pages =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.269447Z

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Observation 6f0c9429-84f5-4ce9-a803-b55016ad49c1 · outbound

This paper cites Proceedings of the ADKDD'17 , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the ADKDD'17 , pages =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.373398Z

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Observation dd45892f-07b7-484c-8012-7341df41bc08 · outbound

This paper cites Deep Learning Recommendation Model for Personalization and Recommendation Systems.

Tokenizing Numerical and Embedding Features for LLM RecSys Deep Learning Recommendation Model for Personalization and Recommendation Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.483566Z

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Observation 470f51c2-c2a3-4bf5-857e-c6dc517a5908 · outbound

This paper cites Proceedings of the 10th ACM Conference on Recommender Systems , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 10th ACM Conference on Recommender Systems , pages =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.587994Z

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Observation 271d35e8-b92e-4d0c-bdc0-ef54fa4ea983 · outbound

This paper cites Proceedings of the 13th ACM Conference on Recommender Systems , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 13th ACM Conference on Recommender Systems , pages =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.744297Z

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Observation ccc05f3a-f0d6-41c5-894b-dc69601af3a2 · outbound

This paper cites Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing , pages =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.846298Z

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Observation a9a44279-b2ba-460b-be25-26570da200f6 · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:21.961298Z

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Observation 00568f28-ca8c-4004-98ae-797de2bc7560 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 40th International Conference on Machine Learning , pages =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:22.187257Z

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Observation d357c7b8-ec05-4c20-b30d-a9a3b6071d06 · outbound

This paper cites A Survey on Large Language Models for Recommendation.

Tokenizing Numerical and Embedding Features for LLM RecSys A Survey on Large Language Models for Recommendation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:22.305241Z

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Observation 118793f2-99da-4f19-b1e9-abb6f1862224 · outbound

This paper cites Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis.

Tokenizing Numerical and Embedding Features for LLM RecSys Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:22.490172Z

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Observation 49bc954f-a104-4373-a9b2-41679d887b46 · outbound

This paper cites Proceedings of the ACM Web Conference 2024 , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the ACM Web Conference 2024 , pages =

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:22.642903Z

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Observation ded0526b-e31c-4545-9c85-0097769fbaa7 · outbound

This paper cites Proceedings of the 17th ACM International Conference on Web Search and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 17th ACM International Conference on Web Search and Data Mining , pages =

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:22.788641Z

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Observation c381f2f0-1920-45a5-965d-f329c5e1aca2 · outbound

This paper cites LLM-Rec: Personalized Recommendation via Prompting Large Language Models.

Tokenizing Numerical and Embedding Features for LLM RecSys LLM-Rec: Personalized Recommendation via Prompting Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:22.888730Z

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Observation 8dc0a6c3-e802-4bf4-83b4-6036b08a5114 · outbound

This paper cites Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.

Tokenizing Numerical and Embedding Features for LLM RecSys Large Language Models for Generative Recommendation: A Survey and Visionary Discussions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.033252Z

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Observation eafe4ada-a110-480f-baed-3a13372b4930 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Tokenizing Numerical and Embedding Features for LLM RecSys Advances in Neural Information Processing Systems , volume =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.133706Z

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Observation 59678f08-2663-4b38-925c-51f9c316117f · outbound

This paper cites Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.205347Z

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Observation 1af4dcae-55a3-48d3-a1f2-66ee0f200e2f · outbound

This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.353873Z

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Observation 0b4e25f7-397b-463d-96a2-7f95d81d5d7b · outbound

This paper cites Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.553544Z

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Observation 00d9a375-f8ac-4f3b-af62-cd11746d006d · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.742042Z

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Observation c5ccc062-525f-45dd-823a-36aafcb4215d · outbound

This paper cites Proceedings of the 13th ACM Conference on Recommender Systems , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 13th ACM Conference on Recommender Systems , pages =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:23.897639Z

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Observation 7de414eb-f461-4604-b252-134c37d0e4fc · outbound

This paper cites Proceedings of the 28th ACM International Conference on Information and Knowledge Management , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 28th ACM International Conference on Information and Knowledge Management , pages =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:24.077777Z

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Observation abea83ea-2411-4375-830d-46ec25a2dde7 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Tokenizing Numerical and Embedding Features for LLM RecSys TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:24.217823Z

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Observation aa1bb241-6d8b-49b5-a25c-5f76eb043a95 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Tokenizing Numerical and Embedding Features for LLM RecSys Advances in Neural Information Processing Systems , year =

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:24.373150Z

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Observation 13955ddb-6137-4bee-b149-486f1c1d2c1a · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Tokenizing Numerical and Embedding Features for LLM RecSys Advances in Neural Information Processing Systems , year =

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:24.577362Z

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Observation f8b633a5-a237-4c33-ac54-b9529ef0ad1f · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Tokenizing Numerical and Embedding Features for LLM RecSys Advances in Neural Information Processing Systems , volume =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:24.790329Z

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Observation 3cfb11c9-21d6-4b14-a02a-ccbfcc072948 · outbound

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Tokenizing Numerical and Embedding Features for LLM RecSys European Conference on Computer Vision , pages =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:24.977492Z

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Observation e293e4ff-b366-47ed-86e0-c4f54f2f07ed · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Tokenizing Numerical and Embedding Features for LLM RecSys Advances in Neural Information Processing Systems , year =

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.093280Z

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Observation 4bc60cbe-0bb5-4761-b696-d79281292fb8 · outbound

This paper cites Advances in Neural Information Processing Systems , year =.

Tokenizing Numerical and Embedding Features for LLM RecSys Advances in Neural Information Processing Systems , year =

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.172681Z

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Observation 11903b74-4744-42e0-a75a-4031e28b4581 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year =.

Tokenizing Numerical and Embedding Features for LLM RecSys IEEE Transactions on Pattern Analysis and Machine Intelligence , year =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.357257Z

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Observation d0902efe-62fa-4d19-b20a-80e42af89f8a · outbound

This paper cites Proceedings of the 25th International Conference on World Wide Web , series =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 25th International Conference on World Wide Web , series =

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.535420Z

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Observation 75fd1d89-a159-4b3b-a690-30e8138b17a3 · outbound

This paper cites Qwen3 Technical Report.

Tokenizing Numerical and Embedding Features for LLM RecSys Qwen3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.606107Z

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Observation b53273c5-feac-4263-9b4e-c438bd686cf1 · outbound

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Tokenizing Numerical and Embedding Features for LLM RecSys International Conference on Learning Representations , year =

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.690052Z

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Observation 5a109110-369b-48ae-9d33-5b7a551f52a1 · outbound

This paper cites Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining , pages =

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.826871Z

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Observation f3a80de4-0569-41f6-8ff0-66fad165e6a2 · outbound

This paper cites Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:25.945644Z

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Observation 26639013-4395-4464-8ab7-99e71172b799 · outbound

This paper cites 2018 IEEE International Conference on Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys 2018 IEEE International Conference on Data Mining , pages =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.017630Z

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Observation f3ea8a95-ae87-4581-a523-358a3f6443b2 · outbound

This paper cites 2019 , publisher =.

Tokenizing Numerical and Embedding Features for LLM RecSys 2019 , publisher =

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.179619Z

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Observation 4e8e8df1-56e6-4a4b-9968-ebff2d1c4306 · outbound

This paper cites Proceedings of the 28th International Joint Conference on Artificial Intelligence , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 28th International Joint Conference on Artificial Intelligence , pages =

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.248813Z

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Observation 76459fb8-300b-49f1-a842-bc6210ef5eba · outbound

This paper cites 2020 , publisher =.

Tokenizing Numerical and Embedding Features for LLM RecSys 2020 , publisher =

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.354514Z

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Observation 454b4856-ae02-453d-81f2-0c383713736a · outbound

This paper cites 2022 IEEE 38th International Conference on Data Engineering , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys 2022 IEEE 38th International Conference on Data Engineering , pages =

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.455608Z

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Observation f966f511-0978-42e8-9d6c-7fbf16c2c99e · outbound

This paper cites Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining , pages =

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.595928Z

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Observation 9f737b88-e01c-4a76-bfed-322f1df7e83b · outbound

This paper cites Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.691724Z

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Observation 9af7755d-dfb6-45c4-831a-ff539431fb55 · outbound

This paper cites Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:26.869901Z

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Observation 17127de2-70d3-4bf2-a4fb-2e4fef462e26 · outbound

This paper cites Proceedings of the 13th International Conference on Web Search and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 13th International Conference on Web Search and Data Mining , pages =

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:27.009692Z

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Observation d6e0e4d0-0313-451a-856b-cbd2874dedc5 · outbound

This paper cites Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval , pages =

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:27.150066Z

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Observation 8780a9ad-761a-432d-b78c-328937b666af · outbound

This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =.

Tokenizing Numerical and Embedding Features for LLM RecSys Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T01:43:27.287683Z

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Pith citing papers

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