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Paper Citation Record · LEDGER

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2608.11342.

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

pith.paper-citation-record.v1
2608.11342 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:18:54.812651Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

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

measured 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

36 of 36 outbound references displayed

  • verified exact1
  • verified fuzzy9
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e2bced4-b40b-46f4-a161-08f25becc89f · outbound

This paper cites Attention is All you Need , url =.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Attention is All you Need , url =

Reference 1

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no resolver link, observed 2026-08-15T14:18:54.526911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.526911Z digest=sha256:116500970c935a13e7690a1059e17ab79d5ce693fd2c9d1051e95f702ab979e7

Observation 0b8b362a-49b5-4834-bd44-29aefe4153d8 · outbound

This paper cites L a MP : When Large Language Models Meet Personalization.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport L a MP : When Large Language Models Meet Personalization

Reference 2

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source=arxiv_source observed=2026-08-15T14:18:54.531602Z digest=sha256:26b48ae0aa67aa667900bbf8514f139297f21d8dfefad1c42d9d6d2e60eb4a16

Observation 45fc67ac-2557-4be6-ba5a-7522ee6f71a7 · outbound

This paper cites 2025 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2025 , eprint=

Reference 3

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raw_fallback, observed 2026-08-15T14:18:55.341052Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.663394Z digest=sha256:ef75df77b81c50123796c002d86809f4db8a3d886c21f11e2a2660635120bc09

Observation 5020c54b-c655-4979-a5f5-434bbd1daf95 · outbound

This paper cites 2025 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2025 , eprint=

Reference 4

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no resolver link, observed 2026-08-15T14:18:54.667801Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T14:18:54.667801Z digest=sha256:3ac015d0fdee70ce8be31cd903b455e2c8faf59cf3553648c93e5e69a90cf214

Observation 9ffc9dc3-34ed-4608-8ec0-964216cf3dd6 · outbound

This paper cites RECAP : Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport RECAP : Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.672205Z digest=sha256:da7bf0d7ce4680ec60b34c8f5c6f0ebdfebb69b30ef3143b43dd6a1452fe87a0

Observation 7e6996af-8c36-440b-8760-e3174cb5ba54 · outbound

This paper cites 2025 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2025 , eprint=

Reference 6

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no resolver link, observed 2026-08-15T14:18:54.677632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.677632Z digest=sha256:8cc624fd71e63679223bc36c56a235d97a515469fb206a4e9338d8d17e519b96

Observation aabc2bc6-731e-426d-bbed-23524add6601 · outbound

This paper cites P ersona PKT : Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport P ersona PKT : Building Personalized Dialogue Agents via Parameter-efficient Knowledge Transfer

Reference 7

Resolution
verified exact
doi, observed 2026-08-15T14:18:54.882221Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.683219Z digest=sha256:6ed67be58afcbe8cdaf16bb0938bfa1d6ffc10a6e0855880395a1c7535811a08

Observation 53315efd-8c26-43bf-8b6d-c2fc2c0d359e · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 8

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source=arxiv_source observed=2026-08-15T14:18:54.688946Z digest=sha256:f0bc7d262218560de596a4334014520f60b16bf24d51fc59145237a8880a7880

Observation 36a24fdc-f918-4e23-8dca-0972f919a102 · outbound

This paper cites 2021 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2021 , eprint=

Reference 9

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.694057Z digest=sha256:01699fc41acfb52563e450e2c334e61ddce6f248a87cfa9fdfc64a1269cb18a6

Observation 64c4e7d2-dcee-4a94-a5d1-91f44fd60370 · outbound

This paper cites Compute-Constrained Data Selection.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Compute-Constrained Data Selection

Reference 10

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source=arxiv_source observed=2026-08-15T14:18:54.697829Z digest=sha256:e522ce2ab5b3154e15b3890d326e17a3a25d98b5fdd830bcd324b46af7b767b3

Observation 3a6de7d9-6fbe-46b1-8a31-04eef7fdb5df · outbound

This paper cites 2026 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2026 , eprint=

Reference 11

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source=arxiv_source observed=2026-08-15T14:18:54.704181Z digest=sha256:51f689311ceb790535c99a8be20aefd92aaf6fabe1923a6b2478162e4cad17f3

Observation 65c87c2c-732c-44a6-ac56-054849be7deb · outbound

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

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Advances in Neural Information Processing Systems , volume=

Reference 12

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source=arxiv_source observed=2026-08-15T14:18:54.708712Z digest=sha256:5aec1d66256cc22c3638bc6f4258b6993b80e4c17ac2458ca1c7f8467dafe59e

Observation bd7ee3c6-7ac3-4583-b4f2-0aaad89a12d6 · outbound

This paper cites 2025 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2025 , eprint=

Reference 13

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raw_fallback, observed 2026-08-15T14:18:55.279451Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.712854Z digest=sha256:fb0a46afc1b9be6e3d022e17fe167a463d928ec9161f5d002d26971c6cbcd146

Observation 1f255eeb-806b-4fdc-b55e-f25049840206 · outbound

This paper cites and Sifre, Laurent , title =.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport and Sifre, Laurent , title =

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.716910Z digest=sha256:535112c7f6fe726755cfdbe82edcc73dc1b088951c3206fee0d215da1ff4665c

Observation 33d83cf1-312e-45cd-a4a1-a080220b5a42 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , pages=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops , pages=

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T14:18:55.256281Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.721785Z digest=sha256:0b3b73bb68827e4001a66cc8c329fb0464f8a94511ad4702b2098b055b288bef

Observation feea8ef7-e40d-4648-8a8f-fef936040a25 · outbound

This paper cites Drift: Decoding-time Personalized Alignments with Implicit User Preferences.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Drift: Decoding-time Personalized Alignments with Implicit User Preferences

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.725982Z digest=sha256:beef559305d63ea6a79c3a6c76f0d869e22ed908b8a1fa1dcac6ebb767e9b70a

Observation 1d2b8512-0968-4337-845e-ca2b745b3d6f · outbound

This paper cites Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of

Reference 17

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raw_fallback, observed 2026-08-15T14:18:55.236279Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.729985Z digest=sha256:7e1e8833ff13feebcecf456c74ac288a29635d3403dd45691fccb53888f66a89

Observation eda178fc-4565-4591-893c-f046af256bb6 · outbound

This paper cites arXiv preprint arXiv:2507.04756 , year=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport arXiv preprint arXiv:2507.04756 , year=

Reference 18

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source=arxiv_source observed=2026-08-15T14:18:54.733969Z digest=sha256:cbf56105bc2897f87fc1329f1f136e7aa647ac62d1b1a2d8f0c2e10a99a5f0e7

Observation 3b6feb35-eba8-4ddc-b9da-15a8f0310cd8 · outbound

This paper cites Test-Time Learning for Large Language Models.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Test-Time Learning for Large Language Models

Reference 19

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source=arxiv_source observed=2026-08-15T14:18:54.738157Z digest=sha256:a865a300ebf03b862211626c21f3960297eb2965ca8dec56d104be3178a60183

Observation e5cbec9a-92db-4584-abf9-d86821b82f3d · outbound

This paper cites Learning to (.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Learning to (

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-15T14:18:55.222166Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.743013Z digest=sha256:5fdadc08420b052a3997f3e8118d670f228aacf9a64807df5204cab7b793d4c6

Observation 520d63fb-df70-49d5-8573-7d048e176412 · outbound

This paper cites 2026 , eprint=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 2026 , eprint=

Reference 21

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raw_fallback, observed 2026-08-15T14:18:55.208818Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.747009Z digest=sha256:70432712f20bd38e187d3f2e7b98e2b0115f2ff253722b3e085d0399be962e15

Observation e4e7581c-4cb4-4489-9021-c762fdae18fb · outbound

This paper cites Transactions on Machine Learning Research , issn=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Transactions on Machine Learning Research , issn=

Reference 22

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source=arxiv_source observed=2026-08-15T14:18:54.750967Z digest=sha256:85b4fb80265bffdebec3292dd5ea1144a17656f93f36e0283f2ef3f87b53a40e

Observation b72b4df0-3317-4395-bd2c-59f416cb18db · outbound

This paper cites World wide web , volume=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport World wide web , volume=

Reference 23

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

source=arxiv_source observed=2026-08-15T14:18:54.754989Z digest=sha256:c22cc472a782bfa70fbb167b5a9c3b876cc3fae10f094920ebe55990a08cbe00

Observation e9241154-1160-43ae-8010-2e9e1c7d743e · outbound

This paper cites arXiv preprint arXiv:2502.11528 , year=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport arXiv preprint arXiv:2502.11528 , year=

Reference 24

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source=arxiv_source observed=2026-08-15T14:18:54.759086Z digest=sha256:6173a43de7002a165d34171ab9c830850845f41d4f2c23b271ddbd76616ec127

Observation fb423ff0-8b15-4d61-a0d1-866d96b57e01 · outbound

This paper cites International Conference on Machine Learning , pages=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport International Conference on Machine Learning , pages=

Reference 25

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no resolver link, observed 2026-08-15T14:18:54.763177Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.763177Z digest=sha256:9db43b31cce23dbd55400e2fb139f8f0e794210da97a20655c472f86b6fdf43a

Observation 92defe68-bdd9-4dd1-be25-28a29173563c · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2023 , pages=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Findings of the Association for Computational Linguistics: ACL 2023 , pages=

Reference 26

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source=arxiv_source observed=2026-08-15T14:18:54.767258Z digest=sha256:d40490ad48a73dd54aad8762af34f668ca9b438154724d108c9a48a7fe037beb

Observation 38f87689-6b38-4572-ba6d-56c0b33b7302 · outbound

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

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Proceedings of the 41st International Conference on Machine Learning , pages =

Reference 27

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raw_fallback, observed 2026-08-15T14:18:55.156619Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-15T14:18:54.771305Z digest=sha256:105895086dcc61f94d3a86cb2b487d3c79c58320cbb040fc52feac492fd41189

Observation 5cefe76d-90d2-4c4a-a664-98e009878b05 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=

Reference 28

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source=arxiv_source observed=2026-08-15T14:18:54.776218Z digest=sha256:4e0f6e8b3a24439e7643a1086bb7efd10826d1822632be74cdc677580da7067c

Observation d5e07c0b-0891-46a0-ac17-b8d705885729 · outbound

This paper cites Personalize Your LLM : Fake it then Align it.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Personalize Your LLM : Fake it then Align it

Reference 29

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source=arxiv_source observed=2026-08-15T14:18:54.780071Z digest=sha256:c7c000114d9858a1b364b43116a5365076d1c7efea9b79783b881b0a4fc78303

Observation a5433730-46db-484f-a1c7-dd62b641d569 · outbound

This paper cites 1950 , publisher=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport 1950 , publisher=

Reference 30

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source=arxiv_source observed=2026-08-15T14:18:54.783995Z digest=sha256:b3378c7e56e281884568717a2a440ceb2c511398919eb02b41f4c61432c45a46

Observation 49654678-643a-4b13-a93a-af0e67f466f1 · outbound

This paper cites , author=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport , author=

Reference 31

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no resolver link, observed 2026-08-15T14:18:54.788920Z

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source=arxiv_source observed=2026-08-15T14:18:54.788920Z digest=sha256:0f0c57973035a6af2d9a450e79ddfb1c505dafcca62f5fa6187fc9200453e387

Observation 39126f2f-7f98-4834-88f2-4d9b91473f7d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 32

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source=arxiv_source observed=2026-08-15T14:18:54.792928Z digest=sha256:254e6c9aead710ebc4bc1c66c583cf5486138e98c3481b76d1c2d62dcbea7644

Observation efbc92cc-9ea8-45f5-8f4b-187dfee286c9 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Gaussian Error Linear Units (GELUs)

Reference 33

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source=arxiv_source observed=2026-08-15T14:18:54.797412Z digest=sha256:67a88833d8913336af6fffec382396994e8146d2349e02c728a24bb8cc5f4239

Observation 50131af1-2a9a-4f5f-af75-3ba0edc6e678 · outbound

This paper cites Advances in neural information processing systems , volume=.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Advances in neural information processing systems , volume=

Reference 34

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source=arxiv_source observed=2026-08-15T14:18:54.802111Z digest=sha256:5127ca1f02754c51b62b5e734d6e8a89633b13da3fdd5ca84c1fd8918029678c

Observation 4b8a80eb-112a-4089-a29b-4b6dbe21e3de · outbound

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

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 35

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source=arxiv_source observed=2026-08-15T14:18:54.806620Z digest=sha256:c0f742f424b1d83dd106da89d0476cf2213662229e1794f34cb92df931f2e06b

Observation 2454f88a-3206-4223-95b2-8d1e451828c5 · outbound

This paper cites The Llama 3 Herd of Models.

Weightless Fine-Tuning: Personalizing LLMs via Logit-Space Transport The Llama 3 Herd of Models

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.812651Z digest=sha256:1ab63e7e3b8bd5c3ab93b570d1a83e32903e407f08c4f22499a23a099061957e

Pith citing papers

No inbound Pith citation observations are available.