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Paper Citation Record · LEDGER

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2607.17745.

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

pith.paper-citation-record.v1
2607.17745 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:08:05.716700Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 81bac2fe-3d0e-4525-b82a-dd6438653935 · outbound

This paper cites Gray and Jay P.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Gray and Jay P

Reference 1

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Observation 83019674-9a22-4643-9c0e-dee8e2ed2a9e · outbound

This paper cites Ensuring compliance with environmental regulations in the east- ern partnership countries.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Ensuring compliance with environmental regulations in the east- ern partnership countries

Reference 2

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Observation abfc18bd-6706-4836-9303-933eafe70c93 · outbound

This paper cites an unresolved cited work.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Unresolved cited work

Reference 3

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Observation 92725fab-1945-4f62-ae7f-961cb56622aa · outbound

This paper cites Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, et al.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, et al

Reference 4

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Observation 9d3ea7d8-78de-4c53-9464-fb72dda8ea5d · outbound

This paper cites Loomba, Shichang Zhang, Yizhou Sun, and Wei Wang.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Loomba, Shichang Zhang, Yizhou Sun, and Wei Wang

Reference 5

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source=pdf_text observed=2026-08-01T17:08:03.720170Z digest=sha256:74e2b2928f709ae666c8b5f64b8c2b5355fc40b901d91ff8bbda5927244a52a9

Observation c765925e-8024-41d7-ad34-8a7466925035 · outbound

This paper cites A benchmark of expert-level academic questions to assess AI capabilities.Nature, 649:1139–1146, 2026.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement A benchmark of expert-level academic questions to assess AI capabilities.Nature, 649:1139–1146, 2026

Reference 6

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Observation 7916a6b1-244e-4ab2-9dec-cd49d66dfa36 · outbound

This paper cites Manning, and Daniel E.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Manning, and Daniel E

Reference 7

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Observation 650e1d8a-4334-43ce-8221-faf615a91113 · outbound

This paper cites ESGe- nius: Benchmarking LLMs on environmental, social, and governance (ESG) and sustainability knowledge.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement ESGe- nius: Benchmarking LLMs on environmental, social, and governance (ESG) and sustainability knowledge

Reference 8

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source=pdf_text observed=2026-08-01T17:08:03.997006Z digest=sha256:e5ba218e647b7db102d609875bed0c0e019ba0ab751225591047606f83bb654f

Observation c3987be1-152c-447c-b3c6-9b8e0a20923f · outbound

This paper cites Fine-tuning large language models for interdisciplinary environmental challenges.Environmen- tal Science and Ecotechnology, 27:100608, 2025.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Fine-tuning large language models for interdisciplinary environmental challenges.Environmen- tal Science and Ecotechnology, 27:100608, 2025

Reference 9

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source=pdf_text observed=2026-08-01T17:08:04.113977Z digest=sha256:48190b2cd999be14153ec1dae19c62f2c913c54b90020fe7f8db341fe589b53c

Observation 08d401cc-88dc-42a8-8ff3-1ef7d9dd4b20 · outbound

This paper cites Enforcing environmental regulation.Journal of Environmental Law, 23(2): 169–201, 2011.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Enforcing environmental regulation.Journal of Environmental Law, 23(2): 169–201, 2011

Reference 10

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Observation ac2f2db0-7790-4577-a326-bece6cca246f · outbound

This paper cites Densing law of LLMs.Nature Machine Intelligence, 7(11): 1823–1833, 2025.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Densing law of LLMs.Nature Machine Intelligence, 7(11): 1823–1833, 2025

Reference 11

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Observation bdb039ad-6b5a-4e03-afc5-282c7f89e75c · outbound

This paper cites Lawbench: Benchmarking legal knowledge of large language models.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Lawbench: Benchmarking legal knowledge of large language models

Reference 12

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Observation c95c8397-fa0d-48da-92b8-1fc3498dfe32 · outbound

This paper cites Lexeval: A comprehensive chinese legal benchmark for evaluating large language models.Advances in Neural Information Processing Systems, 37:25061–25094, 2024.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Lexeval: A comprehensive chinese legal benchmark for evaluating large language models.Advances in Neural Information Processing Systems, 37:25061–25094, 2024

Reference 13

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Observation a02eb577-6017-4adf-8400-e7145aec56dc · outbound

This paper cites Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Beyond Guilt: Legal Judgment Prediction with Trichotomous Reasoning

Reference 14

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source=pdf_text observed=2026-08-01T17:08:04.643395Z digest=sha256:6bd16fb3b6e16c899dc473c504c8e9c39eb758eac55f71f5109d5718839a7371

Observation 25ae46b6-ad15-4ac1-ae2f-e92ba963421d · outbound

This paper cites LawShift: Benchmarking legal judgment prediction under statute shifts.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement LawShift: Benchmarking legal judgment prediction under statute shifts

Reference 15

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source=pdf_text observed=2026-08-01T17:08:04.738588Z digest=sha256:5ac98bda82cb2ab5da7720555fc7796a02f54ec463386a74fa62b08ed140e6e7

Observation 17136ab6-7b42-4bb2-9816-b0718a3f0233 · outbound

This paper cites Legala- gentbench: Evaluating LLM agents in legal domain.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Legala- gentbench: Evaluating LLM agents in legal domain

Reference 16

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source=pdf_text observed=2026-08-01T17:08:04.937368Z digest=sha256:b802021796bdaa4e7ce409957354f7b4380b906258e15b23e5973846acef0f54

Observation b0328c72-fc57-43e3-af66-23f6e4b84e3c · outbound

This paper cites LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements

Reference 17

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Observation 68a5bc4d-dc4a-4e14-9894-fc2bf8c2e11e · outbound

This paper cites Benchmarking LLMs for Environmental Review and Permitting.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Benchmarking LLMs for Environmental Review and Permitting

Reference 18

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Observation e0e42dc6-3001-4f04-830e-7d735cc3f84e · outbound

This paper cites Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain

Reference 19

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source=pdf_text observed=2026-08-01T17:08:05.347949Z digest=sha256:df1b8aeb1916ab8dbaba1df3188366c2e28f5550aec02a0180d07efe117adb4e

Observation a18d9b98-59af-4fd2-a4d6-b01cb28026df · outbound

This paper cites Measures for ecological and environmental administrative penalties.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Measures for ecological and environmental administrative penalties

Reference 20

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source=pdf_text observed=2026-08-01T17:08:05.456413Z digest=sha256:f68169ae317df5b34b63087259d39f293a7a02c0e7304fb6f8d142c2e9b1c30a

Observation 0b5d6044-e1e6-48a0-b9ed-e39a58478521 · outbound

This paper cites Measuring massive multitask language understanding.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Measuring massive multitask language understanding

Reference 21

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Observation 1c53643a-d430-444e-9bf8-b48352ea8755 · outbound

This paper cites Holistic evaluation of language models.Transactions on Machine Learning Research, 2023.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement Holistic evaluation of language models.Transactions on Machine Learning Research, 2023

Reference 22

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source=pdf_text observed=2026-08-01T17:08:05.617291Z digest=sha256:a2e52cd80608f89d254c8e4e0ae5db58d6ab73857cb264a173e231ac6f92db8a

Observation cb7ae3bb-6b57-4074-923f-fde9fc553599 · outbound

This paper cites it’s not what you see but what you hear.

WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement it’s not what you see but what you hear

Reference 23

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Pith citing papers

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