Paper Citation Record · LEDGER

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities

As of 9 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2608.05611.

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

pith.paper-citation-record.v1
2608.05611 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:37:05.408718Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

43 of 43 outbound references displayed

verified exact0
verified fuzzy19
unresolved23
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f15d3ad-807d-4b7e-b38c-598848f04e45 · outbound

This paper cites The Llama 3 Herd of Models.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities The Llama 3 Herd of Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.216658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a55ed869-168e-48cc-a614-85869c0ee883 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Constitutional AI: Harmlessness from AI Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.223052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60eedac8-01db-4a7f-a4e5-6ca9b35d5d32 · outbound

This paper cites Representation Engineering for Large-Language Models: Survey and Research Challenges.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Representation Engineering for Large-Language Models: Survey and Research Challenges

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.228333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a6813b-a43a-4682-9134-761b5b39096d · outbound

This paper cites Frontiers in Medicine11, 1495582 (2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Frontiers in Medicine11, 1495582 (2024)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.227293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation efd86cc0-bb1a-4a39-963d-bc01f8e9aed9 · outbound

This paper cites Frontiers in medicine11, 1495582 (2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Frontiers in medicine11, 1495582 (2024)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.211503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 116d074d-6227-481b-a442-bfd9a076bb1a · outbound

This paper cites Advances in Neural Infor- mation Processing Systems36, 66044–66063 (2023).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Advances in Neural Infor- mation Processing Systems36, 66044–66063 (2023)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.196945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72b3d20f-7c6a-4d6a-a256-55346aec1185 · outbound

This paper cites arXiv preprint arXiv:2507.16795 (2025).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities arXiv preprint arXiv:2507.16795 (2025)

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.248821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e210b7fc-0bb0-4fea-9f03-783b086d9855 · outbound

This paper cites Persona Vectors: Monitoring and Controlling Character Traits in Language Models.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Persona Vectors: Monitoring and Controlling Character Traits in Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.253120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a80fba4-fd6c-40df-8373-39ccba04b7d1 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2023).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: The Twelfth International Conference on Learning Representations (2023)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.183231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 814def5c-f9f9-4f37-b6d8-ae11523efc6c · outbound

This paper cites Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.262886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffa4df6c-e842-40ea-99dd-c9ab08921e5e · outbound

This paper cites In: Findings of ACL 2025 (Jul 2025).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Findings of ACL 2025 (Jul 2025)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.169445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 144b93cc-559c-426d-9828-8aaee18f2afe · outbound

This paper cites In: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.155473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 57353c5a-1dd0-4f8e-849f-da0a7095160e · outbound

This paper cites GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.276473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 133850e6-2db9-489f-9cf9-c6800e914fa0 · outbound

This paper cites Journal of Machine Learning Research25(70), 1–53 (2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Journal of Machine Learning Research25(70), 1–53 (2024)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.281076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a26da66d-a181-409e-a238-7151b3038dda · outbound

This paper cites Toy Models of Superposition.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Toy Models of Superposition

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.285321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4361f62f-4f12-42dc-8b6e-6a7054dae490 · outbound

This paper cites Advances in neural information processing systems36, 44123–44279 (2023).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Advances in neural information processing systems36, 44123–44279 (2023)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.131114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 12e2dc3c-9b40-4e18-a66e-a51884350956 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Measuring Massive Multitask Language Understanding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.294039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7507128-c5dd-4ae0-b4fe-997f892ec9c8 · outbound

This paper cites CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.298498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446a4cca-9457-4b62-ac53-7e8d0f11c7cc · outbound

This paper cites In: Findings of NAACL 2024 (2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Findings of NAACL 2024 (2024)

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.116056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 78f35384-3bcc-415f-9b77-6e1a93e7391c · outbound

This paper cites Applied Sciences11(14), 6421 (2021).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Applied Sciences11(14), 6421 (2021)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.102376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eea40b28-61ea-4249-addd-572256e15f04 · outbound

This paper cites Medium (April 2025),https://medium.com/@aadharshkannan/ self-supervised-persona-auto-fine-tuning-llms-af30fa3ff192.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Medium (April 2025),https://medium.com/@aadharshkannan/ self-supervised-persona-auto-fine-tuning-llms-af30fa3ff192

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.088320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c80f8153-6940-4b37-a4e2-2db8d7cb091c · outbound

This paper cites In: Proceedings of the ACM Web Conference.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Proceedings of the ACM Web Conference

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.074540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59732959-ad4c-4b9e-b328-a38d5a430890 · outbound

This paper cites BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.324828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17ed50ff-8029-46dc-964e-4e574624345e · outbound

This paper cites Advances in Neural Information Processing Systems36, 41451–41530 (2023).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Advances in Neural Information Processing Systems36, 41451–41530 (2023)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.329561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce7162ff-d837-47b7-9262-834e6504b420 · outbound

This paper cites Science China Technological Sciences68(8), 1820403 (2025).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Science China Technological Sciences68(8), 1820403 (2025)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.036986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5f2b5ee-b55c-47ae-9cf5-afdc7f44aef8 · outbound

This paper cites that’s no laughing matter.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities that’s no laughing matter

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.337822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66df184d-b044-44c5-a4ae-403ebcce4e83 · outbound

This paper cites an unresolved cited work.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-08T05:37:06.023205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a747f231-c19e-4a56-a885-eeb54e2ff472 · outbound

This paper cites In: Proceedings of the 58th annual meeting of the association for computational linguistics.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Proceedings of the 58th annual meeting of the association for computational linguistics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:06.009381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 39620fad-3010-40cc-a809-d2057d8bb6f2 · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.350933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31a28c8b-93f4-493c-8a0e-ad8206364991 · outbound

This paper cites In: Proceedings of the Title Suppressed Due to Excessive Length 13 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Proceedings of the Title Suppressed Due to Excessive Length 13 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:05.994649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0dc60216-39b6-4935-b5e3-6f3669a6f4a2 · outbound

This paper cites Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.359943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f05febf3-a5c9-4274-bf4e-999d2554f63b · outbound

This paper cites Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.364247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c9ae55-308a-40bd-985b-e445b6c8f65f · outbound

This paper cites Steering Language Models With Activation Engineering.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Steering Language Models With Activation Engineering

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.368694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3d7475-ff63-42cb-9bc6-76c7d253344a · outbound

This paper cites In: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:05.978934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 114147f5-ce23-44e0-baa3-d3686fda0017 · outbound

This paper cites In: Proceedings of the 7th ACM International Conference on Multimedia in Asia.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Proceedings of the 7th ACM International Conference on Multimedia in Asia

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:05.964731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bb8cf5cd-98c2-4c6a-a750-30f85461c53e · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Finetuned Language Models Are Zero-Shot Learners

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.381990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5e0798e-186d-4416-87ac-78d0f18e4b7b · outbound

This paper cites MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.386578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5baa9a69-5d9d-49b8-8442-eb2d3dbe3b47 · outbound

This paper cites TradingAgents: Multi-Agents LLM Financial Trading Framework.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities TradingAgents: Multi-Agents LLM Financial Trading Framework

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.391047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85760405-5f51-4bdf-a500-ba87e08d8630 · outbound

This paper cites In: The Twelfth International Conference on Learning Representations (2023).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: The Twelfth International Conference on Learning Representations (2023)

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:05.950307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ec526b9-aa2b-40a4-b9db-726833c5b366 · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.399897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd52fa90-57af-4970-a05c-959d1d69887c · outbound

This paper cites Advances in Neural Information Processing Systems37, 26045– 26081 (2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Advances in Neural Information Processing Systems37, 26045– 26081 (2024)

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:05.936013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45cbe37b-662e-4e5d-80d8-ffdfca6e164b · outbound

This paper cites In: Findings of ACL 2024 (Aug 2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities In: Findings of ACL 2024 (Aug 2024)

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T05:37:05.920191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45ece933-1071-41d6-a5fc-a125d7b771d5 · outbound

This paper cites 4304–4315 (2024).

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities 4304–4315 (2024)

Reference 2024

Resolution: parse uncertain; raw_fallback, observed 2026-08-08T05:37:06.060285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.