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Paper Citation Record · LEDGER

Personalizing Large Language Model Agents with Small Policy Models

As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2608.00215.

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

pith.paper-citation-record.v1
2608.00215 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:06:57.869871Z

measured 79 of 79 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

79 of 79 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved79
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 828f4b68-468d-48df-84aa-e29f7250fe13 · outbound

This paper cites 2023 , note =.

Personalizing Large Language Model Agents with Small Policy Models 2023 , note =

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:52.534468Z digest=sha256:4e6392a675dcc51c2f5da38dfb94cbe96edf0f8c8626932c5031d2fab740d7fa

Observation 0a697e5c-6f1f-492a-b11c-4633b6f1b25a · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Personalizing Large Language Model Agents with Small Policy Models Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 2

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source=arxiv_source observed=2026-08-04T01:06:52.700355Z digest=sha256:6c0725d9d72ca9689c22bb71a0a872f60cc8b2269fb81ba96cc3434a1a65e2bb

Observation 4939fb93-c8a9-43d5-93db-5b56235b5c9c · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-04T01:06:52.775773Z digest=sha256:7aa919cc83d620e066766f3bafc73b8c1ea836b4e6f30f3dfeef5ee8e37cc3ff

Observation 9c257a27-ad83-4293-837d-8bb00acbd482 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-04T01:06:52.884355Z digest=sha256:eb67026c2ae1c2a5a4e5ac1556db5ea34c7ac83fc927466327d9075726e9770e

Observation 189b4f02-31bb-45ad-90d1-12d785027d8b · outbound

This paper cites and Song, Yufan and Li, Boxuan and Tang, Yuxuan and Jain, Kritanjali and Bao, Mengxue and Wang, Zora Z.

Personalizing Large Language Model Agents with Small Policy Models and Song, Yufan and Li, Boxuan and Tang, Yuxuan and Jain, Kritanjali and Bao, Mengxue and Wang, Zora Z

Reference 5

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source=arxiv_source observed=2026-08-04T01:06:52.957799Z digest=sha256:85dce2873b4522740220fbac1de5b52bea5239efb6812da32e3b56e024dacb26

Observation b714580a-710f-470f-975c-29ec11d9babd · outbound

This paper cites Transactions on Machine Learning Research (TMLR) , year =.

Personalizing Large Language Model Agents with Small Policy Models Transactions on Machine Learning Research (TMLR) , year =

Reference 6

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source=arxiv_source observed=2026-08-04T01:06:53.020908Z digest=sha256:96af5be1dba5b43d94469f5f82458b55b3c2e802504db08d11a1dfddbf444bb0

Observation 58a9955e-e768-4837-b600-cbb1b9e428c3 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 7

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T01:06:53.084425Z digest=sha256:ca9ac2726aca7aec585c3e17ffcb766eb533dbf8ee2e3bc8dcfab68d5a3f1535

Observation 2e328b3a-3734-4d1a-aedb-2c4a67bc5896 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-04T01:06:53.147715Z digest=sha256:dd0a2f4e52cd08106d20fd8ec0cda1c14bfc1979782d4e1cc6f05d8fb3231c8c

Observation 3c605b53-ba1a-4547-9312-035acb23962b · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-04T01:06:53.208648Z digest=sha256:a884db2f363528d563a5486af92f49804ac63d64f5e48e7e15d36c130f2e1058

Observation a264c3df-96e0-4993-bef8-c72d118f79a5 · outbound

This paper cites and Li, Xian , booktitle =.

Personalizing Large Language Model Agents with Small Policy Models and Li, Xian , booktitle =

Reference 10

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source=arxiv_source observed=2026-08-04T01:06:53.275947Z digest=sha256:3b817c812e4edf9b720478897e61195500c043ae56f87628dce627dd5e569394

Observation 2be3b790-6bfe-415e-9928-197298eb25f7 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-04T01:06:53.334662Z digest=sha256:9da716c883a40d82332983308e48e046973f9fba613e29f6e26d8977fe17be1c

Observation 229ce206-e978-429d-860c-02bf72ef0c68 · outbound

This paper cites Memory as a Controlled Process: Learned Adaptive Memory Management for.

Personalizing Large Language Model Agents with Small Policy Models Memory as a Controlled Process: Learned Adaptive Memory Management for

Reference 12

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source=arxiv_source observed=2026-08-04T01:06:53.413036Z digest=sha256:4804a3a58b2b66853aa92230ab71b7d92e0e89e35593bd9280f5fdfb259b7b2f

Observation 0935c429-8fe6-4877-9b62-9f89298be0f4 · outbound

This paper cites User Preference Modeling for Conversational.

Personalizing Large Language Model Agents with Small Policy Models User Preference Modeling for Conversational

Reference 13

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source=arxiv_source observed=2026-08-04T01:06:53.464442Z digest=sha256:e0500513b299c544cef9530035684b9b952e4634a3a075927516378a3f9ea6c0

Observation 72c446c8-9640-49a1-b713-56987c2bb2aa · outbound

This paper cites Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented.

Personalizing Large Language Model Agents with Small Policy Models Optimizing User Profiles via Contextual Bandits for Retrieval-Augmented

Reference 14

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source=arxiv_source observed=2026-08-04T01:06:53.524190Z digest=sha256:a6e85a7de0421e3e615c3677eecd97c70e7c75333c187e98c579a83890d412a2

Observation 201351c4-27fe-4771-9d07-6508d7d33a54 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-04T01:06:53.623160Z digest=sha256:ee85dd1ec62292a4e80c2f469f2d3742ed6f7fb2f74c09f582881fd9c0c3cbe4

Observation b2ef6971-4361-469a-b5f0-6418f1f6c918 · outbound

This paper cites Training Proactive and Personalized.

Personalizing Large Language Model Agents with Small Policy Models Training Proactive and Personalized

Reference 16

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source=arxiv_source observed=2026-08-04T01:06:53.686781Z digest=sha256:33ba1befe8959bb6282fbc95362b5700c9cc08d3c5df8cac88538bcbba6559f3

Observation dbdf4a99-f94a-4520-b1df-611b1b349e92 · outbound

This paper cites Proceedings of the ACM Web Conference 2025 , year =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the ACM Web Conference 2025 , year =

Reference 17

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source=arxiv_source observed=2026-08-04T01:06:53.754524Z digest=sha256:f2e545607937df57c1785a15e6fce998d1adb16801eb2e3da3729a7332682f02

Observation db68ad26-cf53-4daa-942a-933feff75719 · outbound

This paper cites 2025 , publisher =.

Personalizing Large Language Model Agents with Small Policy Models 2025 , publisher =

Reference 18

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source=arxiv_source observed=2026-08-04T01:06:53.799456Z digest=sha256:0e1699acb57337c35eb2f47ca1e008c5c4c6a29ca57543461235e3a8433c8f1d

Observation f5b57a1b-7630-44b9-9777-26a8f2ccec47 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages =.

Personalizing Large Language Model Agents with Small Policy Models Findings of the Association for Computational Linguistics: ACL 2026 , pages =

Reference 19

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source=arxiv_source observed=2026-08-04T01:06:53.900607Z digest=sha256:6ca1791663d6beb3a69ed3aebf47d30f1221585a1ea116fb950a652f82c977e6

Observation fa255062-b5af-4498-860c-95f15c77df54 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 20

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no resolver link, observed 2026-08-04T01:06:53.964393Z

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source=arxiv_source observed=2026-08-04T01:06:53.964393Z digest=sha256:a495e14f89593490e44a6ae9d4bea4b708b26bd2cbe27ebbd2f7fee2acb0d460

Observation 00ada0fe-f02b-4974-9ab3-33179748cbe1 · outbound

This paper cites Online Personalizing White-box.

Personalizing Large Language Model Agents with Small Policy Models Online Personalizing White-box

Reference 21

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source=arxiv_source observed=2026-08-04T01:06:54.057049Z digest=sha256:a850f13755510568fc5cbd0760314a64d4579ed3c941c3082865c4f611c94b0a

Observation c0d8d334-f894-45b2-bee5-3645efacc1b2 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 22

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source=arxiv_source observed=2026-08-04T01:06:54.154404Z digest=sha256:23308f3e83c9affab056a19ac4df41297605d1e076b2053ccdd2650adf99203f

Observation 4742454c-98c5-4a2c-8539-1fbc6a8b6f6c · outbound

This paper cites Learning to Control.

Personalizing Large Language Model Agents with Small Policy Models Learning to Control

Reference 23

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source=arxiv_source observed=2026-08-04T01:06:54.221140Z digest=sha256:297dfce5270a70c13b1f38a06c9881af96df7d06152e7ed437e5fe8852e009d6

Observation 3fb2e3b5-2f0c-4d98-b1f1-233df9ed345e · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-04T01:06:54.316300Z digest=sha256:a45ad52a41bb852a2c8085c827c8d7897a5f5f7f617f85bfcc26c4e0b651695b

Observation e8d54210-1094-42df-9866-c3ce4b149d6a · outbound

This paper cites 2024 , note =.

Personalizing Large Language Model Agents with Small Policy Models 2024 , note =

Reference 25

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source=arxiv_source observed=2026-08-04T01:06:54.387181Z digest=sha256:a675fa49f4cc2d2a755c00efea3e9944756459f33fed965d42e07e9748b51be6

Observation 54217a13-2285-49c6-8d18-1b34a26c0bca · outbound

This paper cites Two Tales of Persona in.

Personalizing Large Language Model Agents with Small Policy Models Two Tales of Persona in

Reference 26

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source=arxiv_source observed=2026-08-04T01:06:54.451553Z digest=sha256:ed15dfe83aaef19f72ba01f539f5c98d41a053b1a862ef3114dc2115f536946e

Observation f0b52858-3ff9-44da-8508-b24d51cf9bdf · outbound

This paper cites Personalized Reasoning: Just-In-Time Personalization and Why.

Personalizing Large Language Model Agents with Small Policy Models Personalized Reasoning: Just-In-Time Personalization and Why

Reference 27

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source=arxiv_source observed=2026-08-04T01:06:54.552236Z digest=sha256:d7a4a86f3ccd7a0d3e27357b223cb7e111ef8e478a57c51b14dea723d1e78ba6

Observation c949b5bb-2c3a-4f19-be72-80f50b004925 · outbound

This paper cites arXiv preprint arXiv:2602.16173 , year =.

Personalizing Large Language Model Agents with Small Policy Models arXiv preprint arXiv:2602.16173 , year =

Reference 28

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source=arxiv_source observed=2026-08-04T01:06:54.647765Z digest=sha256:5d6b06dacd706e5ed9d2c94109961a5eb64fac2c456b66b3ce86360cc1de3a19

Observation a0c918d9-ecf5-49f6-907b-a8eb3e8057aa · outbound

This paper cites 2025 , note =.

Personalizing Large Language Model Agents with Small Policy Models 2025 , note =

Reference 29

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source=arxiv_source observed=2026-08-04T01:06:54.730897Z digest=sha256:cd08c57bdbb5c13c385cea905879200f5588aa928ea2c4ef1069a6194f87376a

Observation a027c521-77dd-40e4-ab6f-fba1d96590a6 · outbound

This paper cites Clarify When Necessary: Resolving Ambiguity Through Interaction with.

Personalizing Large Language Model Agents with Small Policy Models Clarify When Necessary: Resolving Ambiguity Through Interaction with

Reference 30

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source=arxiv_source observed=2026-08-04T01:06:54.785864Z digest=sha256:5bf2a0928652b44de62754b4c5dc74eaaa48de8f9879e7238991e7c06bf4912b

Observation 35c1266c-0650-43df-9986-927e8f158bba · outbound

This paper cites 2025 , publisher =.

Personalizing Large Language Model Agents with Small Policy Models 2025 , publisher =

Reference 31

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source=arxiv_source observed=2026-08-04T01:06:54.859816Z digest=sha256:4cb9e9906182b99dda827b4a7a2afd67ef0e6d8b2fe3260cccd1c9e26ef98ca5

Observation 67d97c1b-9eac-4fad-b426-6cb2d7a369fb · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 32

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source=arxiv_source observed=2026-08-04T01:06:54.925630Z digest=sha256:639233499da77d2f8a2d289b351bc9d0dc122f944773be5dd3dd15e96b0a534d

Observation 1796b0b5-a8b1-43bc-8015-b2be1123e865 · outbound

This paper cites Measuring Mathematical Problem Solving with the.

Personalizing Large Language Model Agents with Small Policy Models Measuring Mathematical Problem Solving with the

Reference 33

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source=arxiv_source observed=2026-08-04T01:06:54.988828Z digest=sha256:b8c077808f33375d1f161b9d535d9a0b199b4e9bbe06fc5154ccbe53ddfb3334

Observation 4ffc41f5-b55e-46f9-ae78-f198e97a2668 · outbound

This paper cites Let's Verify Step by Step.

Personalizing Large Language Model Agents with Small Policy Models Let's Verify Step by Step

Reference 34

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source=arxiv_source observed=2026-08-04T01:06:55.047035Z digest=sha256:23f2c936f1799fbd567e7f46cd4a339a08e4fc555fb03872a467c959b20e7dca

Observation f51e124d-5f56-4024-8d98-5e50f9a25fff · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-04T01:06:55.120577Z digest=sha256:bf757029f2a5d53ede9b5ca871b962d6d075567b5e5afcdb5f85cf743ff160b3

Observation 90475b80-fa79-4686-b834-7711aaee6df5 · outbound

This paper cites arXiv preprint arXiv:2601.02702 , year =.

Personalizing Large Language Model Agents with Small Policy Models arXiv preprint arXiv:2601.02702 , year =

Reference 36

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source=arxiv_source observed=2026-08-04T01:06:55.181318Z digest=sha256:6923b4773692885f0ed85e1800015a5d600538f52a4a407000891cecfe239800

Observation 4923894f-455a-466b-9552-2d3452bfac9d · outbound

This paper cites Latent Preference Modeling for Cross-Session Personalized Tool Calling.

Personalizing Large Language Model Agents with Small Policy Models Latent Preference Modeling for Cross-Session Personalized Tool Calling

Reference 37

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source=arxiv_source observed=2026-08-04T01:06:55.247493Z digest=sha256:a3e11122eb8e24e2890d7115647573090f60621a1d61d7d9eec39994085e7172

Observation 5a94adb8-30cd-40cb-bcd4-550068a6d8e1 · outbound

This paper cites and Stoica, Ion and Gonzalez, Joseph E.

Personalizing Large Language Model Agents with Small Policy Models and Stoica, Ion and Gonzalez, Joseph E

Reference 38

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source=arxiv_source observed=2026-08-04T01:06:55.313620Z digest=sha256:7abdcbabb3c09c8cca111316fb676f3b256553b24fc0423e9aaa82edb04cc90f

Observation ae67b765-3092-4616-b314-66d8ab5acd1f · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 39

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source=arxiv_source observed=2026-08-04T01:06:55.360498Z digest=sha256:faf6c88236889bed74c79b80cd3db4c9714c4aa68506a792fe57c77c881edf68

Observation 4b4e6ecf-4d78-4d6c-964b-cba444220c78 · outbound

This paper cites 2025 , note =.

Personalizing Large Language Model Agents with Small Policy Models 2025 , note =

Reference 40

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T01:06:55.437828Z digest=sha256:44a601d573813ed7f08499adf0b0cc26d8d53d6331db4ec7843d987c2c0084b8

Observation 2e06a672-723f-4081-b4e6-15283f0df48a · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-04T01:06:55.483793Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.483793Z digest=sha256:b9ed8483b8797dd8a116b32381aac8704213ed0587dca30d92417684a6b4558a

Observation 73d42ab3-ebed-46d1-96f2-8860e79d3ed9 · outbound

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

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 42

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no resolver link, observed 2026-08-04T01:06:55.553820Z

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source=arxiv_source observed=2026-08-04T01:06:55.553820Z digest=sha256:fd236d042f5a60992357767bb4353a0ba3895ec5a43a3ae33354e8d5fbb2e9bf

Observation e348c941-d1e3-4cfb-b7de-95013af46cd9 · outbound

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

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 43

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no resolver link, observed 2026-08-04T01:06:55.617594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.617594Z digest=sha256:28e6de1804183d346765999657d348722daf3ea6d6ddb5b231425f1eb295c0b0

Observation 604d4eff-99c6-4133-83ec-1f59c1ffa31a · outbound

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

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 44

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unresolved
no resolver link, observed 2026-08-04T01:06:55.661295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.661295Z digest=sha256:50d12c6ef4123288466904565607e120e60efa78016365dd965e9b9f16e446a7

Observation 6541a1d8-99be-4956-8599-770a848228d5 · outbound

This paper cites Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning.

Personalizing Large Language Model Agents with Small Policy Models Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Reference 45

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unresolved
no resolver link, observed 2026-08-04T01:06:55.741495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.741495Z digest=sha256:925b613d313b608c8ebd6c5aecb1b27af95e2b7ca1e65af521be979ef1f000f0

Observation 88cda4d4-0fab-4849-a077-4e4563fb25bd · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 46

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unresolved
no resolver link, observed 2026-08-04T01:06:55.800844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.800844Z digest=sha256:a76c26bd2241dec77967af5b509de2f1e949e534c17824bcc676b6a562c7e2b7

Observation 1e4a5041-a7ff-4559-964f-4341e2e6dbee · outbound

This paper cites , journal =.

Personalizing Large Language Model Agents with Small Policy Models , journal =

Reference 47

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unresolved
no resolver link, observed 2026-08-04T01:06:55.869399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.869399Z digest=sha256:f419c22a4cb343f79a4297c983fe82e4ca43ed4f35fcb4d12dd9726b619a0ac6

Observation d4c7a684-110a-4602-a85a-5f7ddab142b8 · outbound

This paper cites 2025 , note =.

Personalizing Large Language Model Agents with Small Policy Models 2025 , note =

Reference 48

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no resolver link, observed 2026-08-04T01:06:55.963928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:55.963928Z digest=sha256:34cd5d52d5538835ed01e67ef895b632c28f6c9051d1d7abff57aa76fc1a3b01

Observation 6bc595cc-29df-4b4c-8104-31324ecd2e6a · outbound

This paper cites Active Preference Optimization for Sample Efficient.

Personalizing Large Language Model Agents with Small Policy Models Active Preference Optimization for Sample Efficient

Reference 49

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no resolver link, observed 2026-08-04T01:06:56.044993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.044993Z digest=sha256:b4d8faf46382a39850d9a5c321d543f678521a78000123f283ea89486b8a6ac8

Observation 755b9f24-0268-4a2b-9487-2d017ca150c1 · outbound

This paper cites Reinforcement Learning from Human Feedback with Active Queries.

Personalizing Large Language Model Agents with Small Policy Models Reinforcement Learning from Human Feedback with Active Queries

Reference 50

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no resolver link, observed 2026-08-04T01:06:56.090015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.090015Z digest=sha256:c7a2473ccb102dfb011dfd44f18ff2b13755ae6a8e4588433f80985825e12ba3

Observation 53e80c3e-b6e4-4297-9baa-77c835e05044 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 51

Resolution
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no resolver link, observed 2026-08-04T01:06:56.163488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.163488Z digest=sha256:7498b444f7aa648ee8fbee58fea7b0670119eeb4667b23bc6e6cf879609da2f6

Observation 00e9c827-4e42-4572-8460-9fb9d175886a · outbound

This paper cites Proceedings of the 19th International Conference on World Wide Web (WWW) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 19th International Conference on World Wide Web (WWW) , pages =

Reference 52

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no resolver link, observed 2026-08-04T01:06:56.223953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.223953Z digest=sha256:e4d3bec3c4f90959c03db9b224502038873442e4826ed97dcfecd0fb368b0dde

Observation c810884e-96d2-467e-a7df-c85c6954e659 · outbound

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

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , pages =

Reference 53

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no resolver link, observed 2026-08-04T01:06:56.264361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.264361Z digest=sha256:fdf214dc89286135b2071d104714e35a340918db7944dd52f6ad99864fb04819

Observation 16761947-b99f-47e3-8ccb-1a6189ceb2cd · outbound

This paper cites and Murphy, Susan A.

Personalizing Large Language Model Agents with Small Policy Models and Murphy, Susan A

Reference 54

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no resolver link, observed 2026-08-04T01:06:56.341306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.341306Z digest=sha256:6b6e9252e38537bfae3a20c7f1e3f35a6e3a5c73495c2b287d7da2878747172e

Observation 384c7a6b-09c8-4197-8791-d0823252d957 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 37th International Conference on Machine Learning , pages =

Reference 55

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no resolver link, observed 2026-08-04T01:06:56.424208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.424208Z digest=sha256:6d858a72cf5b84079317651995ad3835535205d7ab85f68cf88132e00fd12733

Observation 2f8534b5-66fd-4620-9a18-40204b71879f · outbound

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

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems , pages =

Reference 56

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no resolver link, observed 2026-08-04T01:06:56.491811Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T01:06:56.491811Z digest=sha256:dcadbf4e788094a7ee46ad62005c2a69452f06de8d79606e2b46e93806172020

Observation 26c92e7c-fe14-4383-8c5c-cd8abd5c0a3d · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , pages =

Reference 57

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no resolver link, observed 2026-08-04T01:06:56.576356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.576356Z digest=sha256:f09315c5ab2ce808d8d8fa35c67253e5dbc4755b9a7eb83d18ff041252a0c710

Observation 60a7a705-7cf8-498b-98ed-8c374bde6f03 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning (ICML) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 35th International Conference on Machine Learning (ICML) , pages =

Reference 58

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no resolver link, observed 2026-08-04T01:06:56.644753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.644753Z digest=sha256:020401635f69e3739dea9da2ab6e1d96a2f07d43871efea6530974e5bd4609be

Observation 1544815c-3bda-49ed-a1ef-3a147b23bce0 · outbound

This paper cites Proceedings of the 36th International Conference on Machine Learning (ICML) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 36th International Conference on Machine Learning (ICML) , pages =

Reference 59

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no resolver link, observed 2026-08-04T01:06:56.687019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.687019Z digest=sha256:c07670dfff86b0a29f5f05367cc1064967d4f4a2ebc4c072d379e86966b16f9f

Observation 53bb0003-cbb0-4bc7-9e93-521db8398135 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 60

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no resolver link, observed 2026-08-04T01:06:56.777541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.777541Z digest=sha256:f5458f3d6272c8eaddfbbf7c851b0f27b2365ef77d4ab4d4b14a9b0a229573ff

Observation 1a0eca40-4040-4240-8cf2-ecba5b95b374 · outbound

This paper cites Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages =

Reference 61

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no resolver link, observed 2026-08-04T01:06:56.838854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.838854Z digest=sha256:b343df56dba07a93d6e1f774a5694ee3de10bdb0e70153ac64ac89dca6f8b082

Observation 7620e837-da4c-4c72-9478-e6cf7e423be1 · outbound

This paper cites Machine Learning , volume =.

Personalizing Large Language Model Agents with Small Policy Models Machine Learning , volume =

Reference 62

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no resolver link, observed 2026-08-04T01:06:56.883229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.883229Z digest=sha256:16474ec54ce959cc1c4bac0a0161bc7583b47951e4a27cf02f9f5be3efb423a7

Observation f0808da7-43ed-43aa-9798-72cc25d5ab8d · outbound

This paper cites arXiv preprint arXiv:2410.05362 , year =.

Personalizing Large Language Model Agents with Small Policy Models arXiv preprint arXiv:2410.05362 , year =

Reference 63

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no resolver link, observed 2026-08-04T01:06:56.937537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.937537Z digest=sha256:f5e6b8b52d82d5dbee94d5d2a8497977dd0b2d18e65b808fd046a11a4b8deddd

Observation b6552889-478a-4d14-bed7-10c84ebf258f · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , pages =

Reference 64

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no resolver link, observed 2026-08-04T01:06:56.985067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:56.985067Z digest=sha256:588c578f47a645ccd25ccfdebb093e5ed050c677959eeae99d4ad81364b61fe9

Observation 1faae8fe-8908-4419-a941-be439cfa19e9 · outbound

This paper cites Proceedings of the 30th International Conference on Machine Learning (ICML) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 30th International Conference on Machine Learning (ICML) , pages =

Reference 65

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no resolver link, observed 2026-08-04T01:06:57.096189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.096189Z digest=sha256:57c3e10666e31ed67b3cb661444c33dd0bd849af00e391afd91023e94e8c253f

Observation daa66893-1556-4d5b-a45b-5d2166ed4759 · outbound

This paper cites Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages =

Reference 66

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no resolver link, observed 2026-08-04T01:06:57.157059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.157059Z digest=sha256:682e04718a53dce724d7ab0b2f2be0ff4fb660005e9ec709d77eb43c12036ed6

Observation 605aa653-db09-4c8e-92e7-ee32f40bbd3e · outbound

This paper cites Journal of Computational and Graphical Statistics , volume =.

Personalizing Large Language Model Agents with Small Policy Models Journal of Computational and Graphical Statistics , volume =

Reference 67

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no resolver link, observed 2026-08-04T01:06:57.193572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.193572Z digest=sha256:60b5b50b7927d75a22bd13ca45557d4c1f060c6eed0158d4f47e05bf78b0f7ac

Observation 20cce504-814f-4231-a371-51ab5571773b · outbound

This paper cites and Lanckriet, Gert R.

Personalizing Large Language Model Agents with Small Policy Models and Lanckriet, Gert R

Reference 68

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no resolver link, observed 2026-08-04T01:06:57.249778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.249778Z digest=sha256:11d87e95f331c16f9f6ff27fc7c8d0f8f0f0c7bee5aaafa53c51652d6a51bc21

Observation c7e68f1c-da43-411b-8560-6b0c8cf7d415 · outbound

This paper cites Foundations and Trends in Machine Learning , volume =.

Personalizing Large Language Model Agents with Small Policy Models Foundations and Trends in Machine Learning , volume =

Reference 69

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no resolver link, observed 2026-08-04T01:06:57.301575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.301575Z digest=sha256:2781d2145bd40e04547ec0c62505fa97555274fbbf6f2e37af9b643e079ab62b

Observation 40ae25fc-65c5-4c21-99bf-cc52851a93e9 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 70

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no resolver link, observed 2026-08-04T01:06:57.370676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.370676Z digest=sha256:74a2c2fc88f6ee9ddad7a23d9d5d88a83c74bb20e1b2a496b42a78b0f5d109b6

Observation 94f8f073-60bd-46b4-b076-7a98e6bdf9d9 · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 71

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unresolved
no resolver link, observed 2026-08-04T01:06:57.436451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.436451Z digest=sha256:10ffd16bd5471e96b06984b6c4133537d86380b6e4c29ddbe2ff97451c9e8298

Observation 9fc7f19b-9ea8-4b04-a40d-20ceeaf0e32a · outbound

This paper cites an unresolved cited work.

Personalizing Large Language Model Agents with Small Policy Models Unresolved cited work

Reference 72

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unresolved
no resolver link, observed 2026-08-04T01:06:57.486907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.486907Z digest=sha256:a48753df8090a04bedc772a57ce56645450676f01c7bd47676550f165f92f11d

Observation 48e3d454-eca7-436f-8c07-05a4c2bb9d5f · outbound

This paper cites Annals of Statistics , volume =.

Personalizing Large Language Model Agents with Small Policy Models Annals of Statistics , volume =

Reference 73

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no resolver link, observed 2026-08-04T01:06:57.552420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.552420Z digest=sha256:29c9b99ad303a0c1934eb4a7662caff2095cb4d7a86e65100cb6cc4355eabad2

Observation 14b41daf-a712-4661-9fa6-1e3be9c70607 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning (ICML) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Proceedings of the 37th International Conference on Machine Learning (ICML) , pages =

Reference 74

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no resolver link, observed 2026-08-04T01:06:57.594881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.594881Z digest=sha256:7df21b624e267e8180b9d199e92e752c148c85a8dfcb31707a5e236c51dec421

Observation 49e994a0-8efe-42cb-9ad4-efcf5d52ce25 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , pages =

Reference 75

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no resolver link, observed 2026-08-04T01:06:57.657991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.657991Z digest=sha256:a44b12ad9682224c248cb9b5b41168986ea5cbb7c8cf204c1d55f403e8df0b5c

Observation 05b34efc-231d-4cf4-8507-5e423be2c152 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , pages =

Reference 76

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no resolver link, observed 2026-08-04T01:06:57.696621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.696621Z digest=sha256:10f1bf2306783cf1dd0d127dd7fc00ab7f35db306dc004320ad6c6436dbd4c53

Observation b5c859e9-85ff-4fe2-8885-8e8a86ea4849 · outbound

This paper cites IEEE Transactions on Signal Processing , volume =.

Personalizing Large Language Model Agents with Small Policy Models IEEE Transactions on Signal Processing , volume =

Reference 77

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no resolver link, observed 2026-08-04T01:06:57.763081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.763081Z digest=sha256:5833db77fe85f9fbdcfac23db0e9238b6be81412bf43ae6122cf7d7323547233

Observation ada481aa-9360-47e7-b8a9-7d2739fbb04a · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , pages =.

Personalizing Large Language Model Agents with Small Policy Models Advances in Neural Information Processing Systems (NeurIPS) , pages =

Reference 78

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no resolver link, observed 2026-08-04T01:06:57.807502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.807502Z digest=sha256:045dfed6698de825d4a32d37d2f79ad7fb0890e9bed3167324a109a00d9f28d3

Observation ac82b3be-0969-4964-bcd7-c0136937385f · outbound

This paper cites 2025 , note =.

Personalizing Large Language Model Agents with Small Policy Models 2025 , note =

Reference 79

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unresolved
no resolver link, observed 2026-08-04T01:06:57.869871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:06:57.869871Z digest=sha256:48be27100aac1132ad39b905364412fbcf4867a8b0dcd4cee559488ee9a5f484

Pith citing papers

No inbound Pith citation observations are available.