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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.526911Z digest=sha256:6c4b918a47f4e403d4e54ff42fefd505bf2a611aed997b5aa774f48b07605d45

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=sha256:546ca431fe3267bb140f55ea91d413d748ea4bc43d574a6dc1b4e80cb60b1805

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.663394Z digest=sha256:f7ebc98d7f7dea8c1cee14964886e3d33d379580b6fe64358cad34773042cd79

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

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source=arxiv_source observed=2026-08-15T14:18:54.667801Z digest=sha256:bc8f98e341eb733ddfde5f3398a50aaea63ef55b78ecb71f465f5f3f8faeb7a0

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:ccc58f3f54402af725d0c70c734c691dfdc513826745e59fb87d4d06bee8b776

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=sha256:3bcedcb3145184483e310d36d5f319bb5c72befef0248584a79aae9b8686a731

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

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.683219Z digest=sha256:32d4f2101b75b40a644951d9291aeae0e541a32e10611ce94d284e145881a710

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:c38dadc1fcd47d88067e00b1bb14b768f272a3870ae4b563d175f0969c215bfe

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.694057Z digest=sha256:eb807e5f65638d7c0e95d7935974d8a028f2c7a8d948500bcd9f1b15dc4a41e3

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:dba6f0f22cd7851761fde4448ee25681dc60ab28ba9b8045f7c1848e07735505

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:e4b9619a8f42d8d24e7a49f2b9fe7d5821a37ea6e186e7042aa372fc2c0e649c

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=sha256:2b4809c9bd0dacdfaff07073cf811662518d4f8916ecb09423454069973d9d1d

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.712854Z digest=sha256:3bd63258caa86d98a817538ddef304bf856eeec6e1a19d19de7a2bb7851f49c0

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.716910Z digest=sha256:0cab57cd4e18f46855b3c894f2b76102329a9feea6caea497b726adf39344fba

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.721785Z digest=sha256:9ed74b70416afc3411c91695937ffafd9eac43076863eea68ad30815ea22974e

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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source=arxiv_source observed=2026-08-15T14:18:54.725982Z digest=sha256:3d8323d234cd4aec0a79b099e38835b0e91708fee92f39300e1245363beecad9

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.729985Z digest=sha256:8a91fbc93a93e5550cab504feeeb22977c7e51d18b629251fc17c5046a21ca82

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:ac7a5a75951a6251989b6e44a04ea10cb52f9cdd28238ad93635b711aba059d9

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=sha256:2164bc0fa1a3a85ccfa6b6d7c8f998dec850d1169e6db4d400d937bedc24ffaf

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.743013Z digest=sha256:38a772394082ff204e8f236c8e758c62e03b30e8b65a1f6537e7826e164076c8

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.747009Z digest=sha256:32ca049f42046875dde513dd0f7288ff00d671f57a49f9b425870d3f42c712e7

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=sha256:5293901b94be185dec47a7f06aea458897b9938f6b745ea59b963453f90daaae

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.754989Z digest=sha256:73f6ddcf8b2441873ed9014a8171f6c25afaa07ad4fb188de9b513a711f872c4

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=sha256:27612bb47497176177ed13492c3e191c851ab052af9ac5afd775b2b8b9bcaa59

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:18:54.763177Z digest=sha256:313a1789f67ff1d95aae63fd82464899b0d9c34920d94de4efb4c7a85e4a7388

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:acfff23996cb36466a4f42f14322360cf01bad56ad025c7d194ab2847eb79091

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T14:18:54.771305Z digest=sha256:c27c3b25ba13d5bdbb5124a19522c069e5b5a41663b56f90737f80dc7572e29e

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=sha256:6a980caf808a280461f53214b3ce7cdfb4b29c122e67ab191ae0eb67e62a2649

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=sha256:6aee983bfcd51dba1fa7a707ba9b145708e82c998c50fc6e5ec9be9e4ea734f1

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=sha256:32f9efb0740818f2fd53a8e337c707724f58683d4897b72e83b7a83795f8fd47

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=sha256:1edbd23942dbb2ccf6619cbb6cce60a8708c36f4ebc3caf3be478bdee90d3024

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=sha256:189cc432b85d313ee98df9aa9106d1dcb4b162c5efb072b999ee495c164cd510

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=sha256:3b4675ef0ef7573d8b767a057b9ab155c853111ab35c7a86527a33d09a20aa9a

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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no resolver link, observed 2026-08-15T14:18:54.802111Z

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source=arxiv_source observed=2026-08-15T14:18:54.802111Z digest=sha256:699e8ae78bec17789d7b2291fccb56e8a8eaf2a992e567b636dbe212c4f926b2

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=sha256:019a928851b20291776e3ee65f9a856c4a129f2e64eb0f1c6ab6645621e8638d

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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source=arxiv_source observed=2026-08-15T14:18:54.812651Z digest=sha256:997e3f77f90d9e7ee2082a511c25a69d1c2a9677fcf33da4bd80f242e1fa9e99

Pith citing papers

No inbound Pith citation observations are available.