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Paper Citation Record · LEDGER

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge

As of 15 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2505.12301.

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

pith.paper-citation-record.v1
2505.12301 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:42:54.008877Z

measured 57 of 57 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:37:29.936416Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T14:37:31.118843Z

Reference resolution

56 of 56 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ee8d0a4e-5762-49da-9adb-0a050332e44c · outbound

This paper cites A Survey of Large Language Models.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge A Survey of Large Language Models

Reference 1

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source=pdf_text observed=2026-08-15T20:42:53.806186Z digest=sha256:8273ce5ee45a02869fe4995c171630e17f1b586d21e008135bf09c0f216f08ac

Observation cc1d6655-26d1-4fa8-afa6-fdf5f1276cbd · outbound

This paper cites Language models are few-shot learners.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Language models are few-shot learners

Reference 2

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source=pdf_text observed=2026-08-15T20:42:53.811676Z digest=sha256:061862473f243940f2cd48045a8b78cd1f87c3e2768c8f34489fe27842bb5fe1

Observation 0850222e-0e5e-46d7-99b8-b884493fa47c · outbound

This paper cites Chi, Quoc V.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Chi, Quoc V

Reference 3

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source=pdf_text observed=2026-08-15T20:42:53.815635Z digest=sha256:c9bd7d4cf5265c7f11bff0591491a8ca718353e690800d57e60ca8a9fdd31376

Observation b639d5e7-d5fd-4501-964a-2b414e3deef5 · outbound

This paper cites Reflexion: language agents with verbal reinforcement learning.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Reflexion: language agents with verbal reinforcement learning

Reference 4

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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=pdf_text observed=2026-08-15T20:42:53.819712Z digest=sha256:e7398cacc43a3984d34f7bd7fdacb23a01ff263119324820324f0d96304dad19

Observation 58b73ae6-2475-4013-b0f6-eed74d0755be · outbound

This paper cites Reasoning with large language models, a survey, 2024.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Reasoning with large language models, a survey, 2024

Reference 5

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source=pdf_text observed=2026-08-15T20:42:53.823979Z digest=sha256:376f7a2f8a0c8ebb7359030d2ab3916b1fd0fa21a3875ff22036514c062807cf

Observation 208bbd3c-88e7-4589-814c-f3236d9e26f6 · outbound

This paper cites Evaluating and improving tool-augmented computation-intensive math reasoning.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Evaluating and improving tool-augmented computation-intensive math reasoning

Reference 6

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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=pdf_text observed=2026-08-15T20:42:53.828037Z digest=sha256:1ea4c69ab9b97256e493702a212d97abe9132a7d65f714d3a1c6ff977e9ea859

Observation 29bf1587-ca44-40a0-ab50-52eace44d2fb · outbound

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

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 8

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source=pdf_text observed=2026-08-15T20:42:53.835958Z digest=sha256:1808c829c5a89bd7b17fae2973a60e741961a1233a8b769cd46aca30d2e42312

Observation eb482f53-2044-413d-8be0-02e4cd35faba · outbound

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

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge A Survey on LLM-as-a-Judge

Reference 9

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source=pdf_text observed=2026-08-15T20:42:53.840285Z digest=sha256:ba3caae3cd3540ae62f14fd579bf84bb1780623fef38f7a0b646165223ff0878

Observation 61e604f9-7db1-464a-8e06-fc72f8e6babf · outbound

This paper cites Lima: less is more for alignment.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Lima: less is more for alignment

Reference 10

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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=pdf_text observed=2026-08-15T20:42:53.844090Z digest=sha256:ca8e98f3ffde20c7d27e020fbb4dce4fb31ec671fe44be6d427881a103c5fd5d

Observation ea7ad07c-3221-4bfe-939b-d728296c6e65 · outbound

This paper cites Flask: Fine-grained language model evaluation based on alignment skill sets.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Flask: Fine-grained language model evaluation based on alignment skill sets

Reference 11

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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=pdf_text observed=2026-08-15T20:42:53.847774Z digest=sha256:51c16af3fc2d089ec4d799848bde48bf2b4c7a56791b9e83a7ea19474dfd80f5

Observation 10b3df07-1009-45f6-9880-a3111c8fc77a · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 12

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source=pdf_text observed=2026-08-15T20:42:53.851590Z digest=sha256:e85a8c32becedc3a2b915ba35ce5e1c9134d0bb40c939d79c31e6ca6cb676def

Observation d3722f0e-b4f9-4c46-9d1f-ec3b004b4ecb · outbound

This paper cites Wildbench: Benchmarking llms with challenging tasks from real users in the wild.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Wildbench: Benchmarking llms with challenging tasks from real users in the wild

Reference 13

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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=pdf_text observed=2026-08-15T20:42:53.855449Z digest=sha256:39399ce734439f24762fc1ff2717222cd5e63af0f68831ce31cab72ef6a50e4e

Observation 8b1bdf3b-d4dd-41c8-9419-0d5a43efb2ca · outbound

This paper cites Judgment under uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty.science, 185(4157): 1124–1131, 1974.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Judgment under uncertainty: Heuristics and biases: Biases in judgments reveal some heuristics of thinking under uncertainty.science, 185(4157): 1124–1131, 1974

Reference 14

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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=pdf_text observed=2026-08-15T20:42:53.859276Z digest=sha256:de114815b631fba9bfa88e2bbce3f55a149af5c787dea89b96d0290bfe2e8a3b

Observation 1844526f-7288-4cd0-ad9d-f48716519e63 · outbound

This paper cites Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Beyond correlation: The impact of human uncertainty in measuring the effectiveness of automatic evaluation and LLM-as-a-judge

Reference 15

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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=pdf_text observed=2026-08-15T20:42:53.862917Z digest=sha256:00234bef6129c7cb84bd6ba245ca26324913221c24cf6f5f33e9e571dc16b5ad

Observation 9ea58b09-609f-4290-ba60-48db2a7d89a0 · outbound

This paper cites Towards measuring the representation of subjective global opinions in language models.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Towards measuring the representation of subjective global opinions in language models

Reference 16

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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=pdf_text observed=2026-08-15T20:42:53.866807Z digest=sha256:fcdc359b68055baff51279dfc020693bf3b3352f40a654781f5a8958cdd80991

Observation 31d60ee8-4b0c-4f96-aee7-a2bc855b02c9 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 17

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source=pdf_text observed=2026-08-15T20:42:53.870464Z digest=sha256:ef5a7f179d9a1e188c52809659e8f3e381b3ccfaf013cc864b51ccfb7d97a176

Observation 1e05c6dd-6cec-4989-9e9f-c2dc8cca3da2 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 18

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source=pdf_text observed=2026-08-15T20:42:53.873263Z digest=sha256:f47be3254f3380701e21b8e0bf883cef40f98f880c3c29d9dbad8d9ddd946e4b

Observation 21ee778e-a63b-47b0-881b-5537dd2ee27d · outbound

This paper cites On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge On information and sufficiency.The annals of mathematical statistics, 22(1):79–86, 1951

Reference 19

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source=pdf_text observed=2026-08-15T20:42:53.875972Z digest=sha256:1ed809b943c531da28daf7b6caedf0254635ca39ba53b212f2b1654f530b4d37

Observation 7c95278a-da20-4fcd-aeb1-1c8084362869 · outbound

This paper cites ChatGPT as a Factual Inconsistency Evaluator for Text Summarization.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

Reference 20

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source=pdf_text observed=2026-08-15T20:42:53.878770Z digest=sha256:923e176f060206ddbbfa9960b98d2cea85ab68c161779a8d5e48bde7e9d8698b

Observation c4d9ef74-2829-4fe6-b1a5-46560a40862a · outbound

This paper cites Human-like Summarization Evaluation with ChatGPT.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Human-like Summarization Evaluation with ChatGPT

Reference 21

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source=pdf_text observed=2026-08-15T20:42:53.882097Z digest=sha256:cbb5e2b5efedaf2f4c1800bf1e35059134cd2090f2ccbd744b493ed6d9bea4c1

Observation 12e49271-933f-438e-bdcb-8598792475f7 · outbound

This paper cites Distributional preference learning: Understanding and accounting for hidden context in RLHF.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Distributional preference learning: Understanding and accounting for hidden context in RLHF

Reference 22

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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=pdf_text observed=2026-08-15T20:42:53.884952Z digest=sha256:16173a3d7da0b76b5fcc0628476a22c5b45d748c291bb168066bdc5a6e23945e

Observation 6e3a5a1f-b1c7-4e01-9524-678cd4e21e0a · outbound

This paper cites Aligning crowd feedback via distributional preference reward modeling.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Aligning crowd feedback via distributional preference reward modeling

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=pdf_text observed=2026-08-15T20:42:53.887582Z digest=sha256:64cd35ae9efcdfd09b2ab88405a3fcf724ebfa7e7a1c80a55a86dcab3a7c2664

Observation 2d18b654-3c6c-4188-805d-813beb713306 · outbound

This paper cites Quantile Regression for Distributional Reward Models in RLHF.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Quantile Regression for Distributional Reward Models in RLHF

Reference 24

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source=pdf_text observed=2026-08-15T20:42:53.890216Z digest=sha256:1b80846350a17db5b8ebabf2007c58df7b031291704af88ed37c8b8301bb6260

Observation eb120bcf-831f-4694-ab47-551b2b5e1ea2 · outbound

This paper cites Improving llm-as-a-judge inference with the judgment distribution.arXiv preprint arXiv:2503.03064, 2025.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Improving llm-as-a-judge inference with the judgment distribution.arXiv preprint arXiv:2503.03064, 2025

Reference 25

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source=pdf_text observed=2026-08-15T20:42:53.893430Z digest=sha256:eecbd03aefa705338165bf410540cfd02d7a66fa91206e3128eec306fa962d2c

Observation 3c676855-0897-4006-812f-82517e0b7e95 · outbound

This paper cites Fre- quency domain adversarial training for robust volumetric medical segmentation.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Fre- quency domain adversarial training for robust volumetric medical segmentation

Reference 26

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

source=pdf_text observed=2026-08-15T20:42:53.896716Z digest=sha256:fe9c6224be83e014d1e59954c6889c0ecd18911854022134047dcf7b302984ec

Observation b6a5ca05-976f-496a-8ad2-2f2519ba947e · outbound

This paper cites Self-adaptive adversarial training for robust medical segmentation.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Self-adaptive adversarial training for robust medical segmentation

Reference 27

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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=pdf_text observed=2026-08-15T20:42:53.900261Z digest=sha256:9e49228bd9900b5ccdfa57b0fddea3bdcd2c692074c0daff4356deccb6b0102c

Observation 9952b9e1-7039-47b4-8fd5-c3bba42f40f7 · outbound

This paper cites Adversarial training methods for semi- supervised text classification.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Adversarial training methods for semi- supervised text classification

Reference 28

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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=pdf_text observed=2026-08-15T20:42:53.904389Z digest=sha256:5833243494ddac0e36a8f3dcdca0900b3330edc25527a5df5978bdfe6b6cdaf0

Observation 25ecb149-fd52-4328-99ec-9ac50de30490 · outbound

This paper cites Adversarial examples for evaluating reading comprehension systems.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Adversarial examples for evaluating reading comprehension systems

Reference 29

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source=pdf_text observed=2026-08-15T20:42:53.909546Z digest=sha256:94ee8c1ff8a48d8572bad5b482babbc94092974073bfbf3965c94d86de1b953b

Observation b447e46e-e085-4163-b911-ab3a95df6bcf · outbound

This paper cites A survey of robust adversar- ial training in pattern recognition: Fundamental, theory, and methodologies.Pattern Recognition, 131:108889, 2022.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge A survey of robust adversar- ial training in pattern recognition: Fundamental, theory, and methodologies.Pattern Recognition, 131:108889, 2022

Reference 30

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source=pdf_text observed=2026-08-15T20:42:53.913221Z digest=sha256:e7b29467032a801f4c561cc88f1eaab723bf5dbfb8f7c3f028e573b4f325988f

Observation 9816a2ac-53f0-4c75-80c9-7832ea5b99fa · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Explaining and Harnessing Adversarial Examples

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.916543Z digest=sha256:cebfce9ecf6c4fc56d0740f604203d88be403ba872049bf91985659a7af7ecd3

Observation f324eef5-436b-418a-bcd9-62707e113d35 · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Towards deep learning models resistant to adversarial attacks

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.920374Z digest=sha256:0e69d1af07c4504c9f22c781e4522e94ceb02412fccdf477dff192151c81b535

Observation 4f7d0343-465b-49f5-8083-1f94d241d367 · outbound

This paper cites Summeval: Re-evaluating summarization evaluation.Transactions of the Association for Computational Linguistics, 9:391–409, 2021.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Summeval: Re-evaluating summarization evaluation.Transactions of the Association for Computational Linguistics, 9:391–409, 2021

Reference 33

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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=pdf_text observed=2026-08-15T20:42:53.924032Z digest=sha256:b2f3a08dca9feb29b2eaba286a3e4292dfbd9ace2365c3f41ea097f0d4622a85

Observation 8bb4ff40-997a-45bd-a50c-4c0ab69f5ec6 · outbound

This paper cites G- eval: NLG evaluation using gpt-4 with better human alignment.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge G- eval: NLG evaluation using gpt-4 with better human alignment

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.927348Z digest=sha256:7fd230148dfc31c34301f0a8917e708bb9026017ca74e896d08928d781df9006

Observation 17a8750e-4674-45e6-a17f-62aec0bb37da · outbound

This paper cites Distilling the knowledge in a neural network.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Distilling the knowledge in a neural network

Reference 35

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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=pdf_text observed=2026-08-15T20:42:53.930860Z digest=sha256:a9d194adf3c292e0579e68ce1c63165478eb61af96c33680b81f659340a60a34

Observation fe2cdade-bc0a-443e-8ab9-b4d6e3ad5e74 · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 36

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verified exact
doi, observed 2026-08-15T20:42:54.072026Z

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=pdf_text observed=2026-08-15T20:42:53.934640Z digest=sha256:12d42b95b566a31af9e0aed9bf86856a125a7efa7de8be73013b95065bd5b93a

Observation 899ab686-aeb3-4595-893c-3ff421b7ed1a · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 37

Resolution
verified exact
doi, observed 2026-08-15T20:42:54.059918Z

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=pdf_text observed=2026-08-15T20:42:53.938433Z digest=sha256:74ac16b84ceb80c3eee295ff1c348c3b8ce52baf07a5c634f6e814756081d172

Observation db8c5bf2-bc94-4442-ad18-8b2c09db98e5 · outbound

This paper cites CVXPY: A Python-embedded modeling language for convex optimization.Journal of Machine Learning Research, 17(83):1–5, 2016.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge CVXPY: A Python-embedded modeling language for convex optimization.Journal of Machine Learning Research, 17(83):1–5, 2016

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.942141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.942141Z digest=sha256:c7b372a07ad50de96f1a8f72a3a281271b956f0dc09af22358662a16b5f26ff6

Observation 9f73c8b9-1926-4eec-b196-7415d7557ca3 · outbound

This paper cites Bowman, Gabor Angeli, Christopher Potts, and Christopher D.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Bowman, Gabor Angeli, Christopher Potts, and Christopher D

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.945867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.945867Z digest=sha256:2b198036a0c9683ebba6d6ca2511967dc03bd75890fc336c0e79c11917e3d526

Observation 2f6262e9-c453-4f01-ae5d-9c53f5b5b39f · outbound

This paper cites A broad-coverage challenge corpus for sentence understanding through inference.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge A broad-coverage challenge corpus for sentence understanding through inference

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.532782Z

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=pdf_text observed=2026-08-15T20:42:53.949442Z digest=sha256:a7a1adac0171d702dc02feaa129746fe41da02e9a1c39a9648668d3d87fdd5aa

Observation 21cbffdc-17c0-41a7-a03c-cf6a6a5dd619 · outbound

This paper cites Qwen2.5 Technical Report.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Qwen2.5 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.960187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.960187Z digest=sha256:eb297b9a6877b88bc6ce563a89162e1e7f4d61bdb0eea9e87e312189ed6c74da

Observation c64ef661-d4b3-44ac-9659-cc7ebb97a7a9 · outbound

This paper cites Xing, Hao Zhang, Joseph E.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Xing, Hao Zhang, Joseph E

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.723497Z

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=pdf_text observed=2026-08-15T20:42:53.956419Z digest=sha256:999867a13b515c6d195a7d181f46875892bacf1cadb9eef84f8db283c33b3894

Observation 8831e236-8f31-4510-844f-7cd191e167e9 · outbound

This paper cites Decoupled weight decay regularization.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Decoupled weight decay regularization

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.972059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.972059Z digest=sha256:563250eaeb47c09f1c9d35986a8ad5fef4b80e2cccf23e7eb4490c6689024066

Observation a82480fd-ac61-45cd-b51f-e4e79dfabcfa · outbound

This paper cites The llama 3 herd of models,.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge The llama 3 herd of models,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.522900Z

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=pdf_text observed=2026-08-15T20:42:53.964098Z digest=sha256:b13ccaccb86380a2a19ba6da88b1fc7dc3d5be57d4779a4f13a54a99a55a2aca

Observation 5dc8fa0a-d2fd-43a2-b618-a5dece0055f3 · outbound

This paper cites Evaluating the logical reasoning ability of chatgpt and gpt-4, 2023.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Evaluating the logical reasoning ability of chatgpt and gpt-4, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.506711Z

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=pdf_text observed=2026-08-15T20:42:53.975726Z digest=sha256:63fc42868810aa26ecc13644f0b36a70b362afb8c97de4b27e256c86334fd679

Observation e48f3eb6-a54b-44de-8b93-d7a3bebd124c · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.979156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.979156Z digest=sha256:8562168f42a329def5b78f2757275e973fe07ecc469475f7b3e1717794df2a03

Observation 7fff391d-e52c-4df0-afda-fb35594b03c4 · outbound

This paper cites Check if the summary covers the main topic and key points of the news article, and if it presents them in a clear and logical order.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Check if the summary covers the main topic and key points of the news article, and if it presents them in a clear and logical order

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.982851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.982851Z digest=sha256:a59aab6f1d7b5d7a5a6ef8dbb9722892547182b4189010961bff48234076c3d9

Observation 810b898d-c51c-45cf-8e27-d942aadf805a · outbound

This paper cites 1", "2",.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge 1", "2",

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.481615Z

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=pdf_text observed=2026-08-15T20:42:53.986619Z digest=sha256:34dd3eb111b2ccdd6e65637f37bf57b919ba0189b7db744db2d35b3615df0c05

Observation 951a2391-fb1b-47d6-943e-f1751702ca33 · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.990526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.990526Z digest=sha256:1f841b502a5a3fed15a9e27e969b3a3557112f2894b5234bc3ee03799b8d9371

Observation 2ff94eb2-451e-4f0a-8ab9-d74b4bd94b6a · outbound

This paper cites Check if the summary contains any factual errors that are not supported by the article.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Check if the summary contains any factual errors that are not supported by the article

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.463511Z

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=pdf_text observed=2026-08-15T20:42:53.994608Z digest=sha256:2d9a66104bd9db0840683a27dce493e366726d476db03cb8478a6a89a6753061

Observation 7ce1f34a-a823-4e95-ad30-590c8edcb838 · outbound

This paper cites 1", "2",.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge 1", "2",

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.450866Z

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=pdf_text observed=2026-08-15T20:42:53.997530Z digest=sha256:64be72dd1e174221321dbdd43cdb30344eb83a910120a66b1004d87423a90d44

Observation dc0d288a-eb7b-45b0-a4d7-7eeeed7ab956 · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:42:54.439916Z

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=pdf_text observed=2026-08-15T20:42:54.000575Z digest=sha256:beb73d8407851100e4ed7cec26220e6202aa0b165a728e0b82910e8575c08808

Observation 333e8bef-0d2e-4bca-aec6-b3ffeede76be · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:54.003354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:54.003354Z digest=sha256:c918c5010f9a7ee4a4db708d06936316c8fb5a571b58ba0519d02882d270eee5

Observation e51b784f-a0ae-46d9-b4aa-37ec5642e390 · outbound

This paper cites an unresolved cited work.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:54.006191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:54.006191Z digest=sha256:61354c57127dab341cc25a3d81dd5fc6f6dc46447183a06da3869cc7a402a817

Observation 86fb61d0-fde4-4f06-baaf-a1da97443991 · outbound

This paper cites 1", "2",.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge 1", "2",

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:42:54.416790Z

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=pdf_text observed=2026-08-15T20:42:54.008877Z digest=sha256:1f12e1479e53a36d4a20cd0e5b0e8593afdb93c1cb6aa7d2a9a09fda02592a0f

Observation 777ca137-a3d5-400b-adb1-aa5f2f594b71 · outbound

This paper cites doi: 10.18653/v1/N18-1101.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge doi: 10.18653/v1/N18-1101

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.952826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.952826Z digest=sha256:7659054680fc6d82b9106423f5b72411c2b56e685d5dc0342da7f6c4fb40db18

Observation 0daeec2b-d25f-4ac8-a4a6-3aeff54c7f30 · outbound

This paper cites The Llama 3 Herd of Models.

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge The Llama 3 Herd of Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T20:42:53.968123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:42:53.968123Z digest=sha256:d0407b0fb4ef4fbd6eba1c047bc5b4d3708e07572825c6bf18bd7fb6c220b371

Pith citing papers

Observation e8159b61-b47f-461f-8137-aa869d430bdd · inbound

Order Matters: LVLMs as Judges for Temporal Reasoning in Image Sequences cites this paper.

Order Matters: LVLMs as Judges for Temporal Reasoning in Image Sequences Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-12T14:37:31.121842Z

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=pdf_text observed=2026-08-12T14:37:29.936416Z digest=sha256:3ade5bb7e70b8df60ad0f6127f982b248c4392d011cac0b833d618b3a4689119