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Paper Citation Record · LEDGER

Can LLM be a Personalized Judge?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2406.11657.

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

pith.paper-citation-record.v1
2406.11657 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:01:27.958450Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-05T10:50:57.599617Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c7b365d2-e04b-49a2-a488-c4a3ca165895 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge Can LLM be a Personalized Judge?

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:44.169150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:c109b5f6aec80c35bf226dd6b8097779020d65f2bee8e8a03b855490157603b0

Observation d0be232a-847f-4bc5-953d-585bc67efec1 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Can LLM be a Personalized Judge?

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:36.379561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:85871ae46b392a779ca9689821d74009afcf83b08e1817b8ca74c2c41c25afc2

Observation d32cb827-2568-4ef9-ab2a-e677a282902b · inbound

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories cites this paper.

The potential -- and the pitfalls -- of using pre-trained language models as cognitive science theories Can LLM be a Personalized Judge?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T17:01:27.958450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:01:27.958450Z digest=sha256:8f60e68539850d9216ad35cd5a0bc16f2a95fe8976d8722df71a0d5f13a0207e

Observation 646ea53d-a55e-40eb-87fa-83ceb392d036 · inbound

Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants cites this paper.

Bridging HCI and AI Research for the Evaluation of Conversational SE Assistants Can LLM be a Personalized Judge?

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T11:20:48.498755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:20:48.498755Z digest=sha256:e0480a25f396c1dd28f132490ff628222b27a8f0642eb89464bac4a373831e69

Observation 8324dd5e-d39d-4762-803e-4f8a4287c128 · inbound

Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles cites this paper.

Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles Can LLM be a Personalized Judge?

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-22T20:57:08.142272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T20:55:12.733381Z digest=sha256:8ff366bb301bdb86e13d9e7e9c4dfc7fc7f498a4e93f98318f498d72717ce9df

Observation 5f7abe1e-2306-4435-bfd8-f916edb00ee1 · inbound

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries cites this paper.

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries Can LLM be a Personalized Judge?

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:52.915877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:52.915877Z digest=sha256:fa572a36b3f1ee94166eac526a8b1ea0fdb52b85a6b5ad320af7272af585d4e5

Observation 37ef0adc-7ad1-47a0-a10f-9c515876f026 · inbound

Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks cites this paper.

Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks Can LLM be a Personalized Judge?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:51.198521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:51.198521Z digest=sha256:3b2c28ea5e80346cb49d5cde520f17c7c77559f5121e33c736d85400d5e0f744

Observation 5204573b-e819-4981-b3f0-44303b8a888b · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs Can LLM be a Personalized Judge?

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:25:29.968595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:25:29.968595Z digest=sha256:924b0149696ffd58651d7aa8aaf195f05f0bdd798e0778b3e0cc90d8a3f35be4

Observation 98904b76-c045-4272-8df0-82cbe3a08d6f · inbound

SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs cites this paper.

SynthesizeMe! Inducing Persona-Guided Prompts for Personalized Reward Models in LLMs Can LLM be a Personalized Judge?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:35.094808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:35.094808Z digest=sha256:c0676bc2117d23cfbbda6beb362872d8a05377c82f6975d23eea4e5cf1eb231e

Observation b80724c2-a1a7-4718-ac6a-61821406ac57 · inbound

Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models cites this paper.

Surface Fairness, Deep Bias: A Comparative Study of Bias in Language Models Can LLM be a Personalized Judge?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:29:50.310923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:29:50.310923Z digest=sha256:3130056fc06c2917b9c6dd2c7729ddfcb23e05141a0d417aa0371a48b9a1ed68

Observation 49ac3714-b17a-4b1c-bb3e-832579639228 · inbound

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law cites this paper.

TRIDENT: Benchmarking LLM Safety in Finance, Medicine, and Law Can LLM be a Personalized Judge?

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T15:04:21.463993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:04:21.463993Z digest=sha256:7e6af6021ca5d35e45d2a2f9d3af219d7f13e6c861924778cfb1595d9ab4d3b1

Observation b35796df-873a-4626-9e0b-9f84b191443f · inbound

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models cites this paper.

Automated Bug Frame Retrieval from Gameplay Videos Using Vision-Language Models Can LLM be a Personalized Judge?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T23:50:44.664382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:50:44.664382Z digest=sha256:8e7746ada6dc391dd7737ee6be553a7fd903283b2f1bab791aafd9b213d8a22d

Observation f7b769d5-40f6-47c1-b8c2-b7cb8cec8166 · inbound

Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback cites this paper.

Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback Can LLM be a Personalized Judge?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T22:22:43.969532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:22:43.969532Z digest=sha256:2c2128bb4ea272844797889efb6a559afd2c005d0c0bccbf5118706d185e35e7

Observation b081287b-e8f5-491d-8c35-74a48b4911c7 · inbound

Can You Trick the Grader? Adversarial Persuasion of LLM Judges cites this paper.

Can You Trick the Grader? Adversarial Persuasion of LLM Judges Can LLM be a Personalized Judge?

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T21:55:57.212045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:55:57.212045Z digest=sha256:d4b7fcd43d97c0c5620903d02db9c5052741846cc6dea13cd405435d8930bfbc

Observation 0ae4ebc2-ae71-4b3c-a7b8-43bddfbcad13 · inbound

Efficient Personalization of Generative User Interfaces cites this paper.

Efficient Personalization of Generative User Interfaces Can LLM be a Personalized Judge?

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:00:57.801097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:52:34.799158Z digest=sha256:6a655a17d2d5140b46d43f4ba36d11660bb5a5db03ae5ab7cfbcdfa074db5f92

Observation ca98c63b-a56c-4c65-9dab-25520ca04976 · inbound

Meet Dynamic Individual Preferences: Resolving Conflicting Human Value with Paired Fine-Tuning cites this paper.

Meet Dynamic Individual Preferences: Resolving Conflicting Human Value with Paired Fine-Tuning Can LLM be a Personalized Judge?

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:11:05.330559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T15:06:43.463303Z digest=sha256:b240b6cfb36d25e3cc4734c0541f6ed31f71050c589d7a7e2f92f7ecb45979ec

Observation e8460ab1-acb1-42a8-9d14-c69eca8a78b2 · inbound

AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation cites this paper.

AgentGR: Semantic-aware Agentic Group Decision-Making Simulator for Group Recommendation Can LLM be a Personalized Judge?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:06:28.348157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:33:19.249331Z digest=sha256:5f9cc8d803fcc396b73029528fe70b22c138ad971c95a550271239547b208b3d

Observation 8f732c72-79e5-477d-821c-1dfdc8116709 · inbound

Informing AI Policy Assessment using Large-Scale Simulation of Interventions cites this paper.

Informing AI Policy Assessment using Large-Scale Simulation of Interventions Can LLM be a Personalized Judge?

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-05T10:50:57.602362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-05T10:47:56.432522Z digest=sha256:b3ed78b896d24dc6c575580c7dd7d161d6ea871bfd50f7bc0d671cf086b080e5

Observation 6b7d5971-2d52-4f44-a4b6-8bae6b9efa4f · inbound

Informing AI Policy Assessment using Large-Scale Simulation of Interventions cites this paper.

Informing AI Policy Assessment using Large-Scale Simulation of Interventions Can LLM be a Personalized Judge?

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-12T18:57:04.042048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:57:04.042048Z digest=sha256:a1c180d4601daf4375bf3ebbaf34dc614298180da1d35d637a46b34306f6c619

Observation 98e6e928-cb82-4c4e-8091-0b6c89716404 · inbound

SenseJudge: Human-Centric Preference-Driven Judgment Framework cites this paper.

SenseJudge: Human-Centric Preference-Driven Judgment Framework Can LLM be a Personalized Judge?

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:26:27.181197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T10:53:29.161652Z digest=sha256:497fc741d373392be407f98751bfc23220b8679bef3d4cd5755a1cd8de832814