Paper Citation Record · LEDGER

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements

As of 8 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2505.22959.

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

pith.paper-citation-record.v1
2505.22959 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:00.804215Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:03:09.218307Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

verified exact0
verified fuzzy41
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22fe2656-f4eb-4983-b3f4-313e9b712eb7 · outbound

This paper cites Cooperation, competition, and maliciousness: Llm-stakeholders interactive negotiation.Advances in Neural Information Processing Systems, 37:83548–83599, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Cooperation, competition, and maliciousness: Llm-stakeholders interactive negotiation.Advances in Neural Information Processing Systems, 37:83548–83599, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:14.025621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 664b59ef-9673-451a-be04-6a0c2e9443dc · outbound

This paper cites Working for the environment and against safety: How compliance affects health and safety on board ships.Safety Science, 87:131–143, 2016.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Working for the environment and against safety: How compliance affects health and safety on board ships.Safety Science, 87:131–143, 2016

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:13.852195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5f4cab65-0812-43fc-9104-65c36f984b46 · outbound

This paper cites Andreopoulos.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Andreopoulos

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:13.627851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e84372c-049f-4b55-895a-3ba3d5201ec3 · outbound

This paper cites A review of compliance with health and safety regula- tions and economic performance in small and medium construction enterprises.Edinburgh, UK, sn, pages 423–432, 2012.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements A review of compliance with health and safety regula- tions and economic performance in small and medium construction enterprises.Edinburgh, UK, sn, pages 423–432, 2012

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:13.459313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7414469b-20cf-4f89-91e3-5dc95f9a6902 · outbound

This paper cites Qwen2.5-VL Technical Report.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Qwen2.5-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:53.682888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b01388a-b25b-432a-8f3d-f9c8fcd18e8a · outbound

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

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:53.800110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2361294-0d3d-4358-b18e-92753ec40caa · outbound

This paper cites A survey on evaluation of large language models.ACM transactions on intelligent systems and technology, 15(3):1–45, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements A survey on evaluation of large language models.ACM transactions on intelligent systems and technology, 15(3):1–45, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:53.928411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3db550fd-a182-4b9a-8335-b06fe3a2fcf8 · outbound

This paper cites Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:13.272019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 697aa16b-fe6a-4f0d-8be4-88d7b9d254f5 · outbound

This paper cites Chatgpt goes to law school.J.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Chatgpt goes to law school.J

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:13.056666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c8517362-4082-484c-b5ac-ead871c8466d · outbound

This paper cites Large legal fictions: Profiling legal hallucinations in large language models.Journal of Legal Analysis, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Large legal fictions: Profiling legal hallucinations in large language models.Journal of Legal Analysis, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:12.811004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f38d2394-2f6b-46e0-a417-b837e3ffb767 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:54.462814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50bd0846-600b-4ba4-bd59-2df43f8eb780 · outbound

This paper cites Management of health, safety and environment in process industry.Safety Science, 46(6):908– 920, 2008.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Management of health, safety and environment in process industry.Safety Science, 46(6):908– 920, 2008

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:12.581209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6efc9ee7-04c0-4229-92c6-c1f08e75714b · outbound

This paper cites Revisiting the traditional irac organisational structure for legal analysis: Towards a multidisciplinary approach.Nigerian LJ, 20:31, 2017.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Revisiting the traditional irac organisational structure for legal analysis: Towards a multidisciplinary approach.Nigerian LJ, 20:31, 2017

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:12.344386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e2e1be62-3c56-4fe0-8095-5e8bc48daa95 · outbound

This paper cites Llm- supported safety annotation in high-risk environments.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Llm- supported safety annotation in high-risk environments

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:12.160193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 964bf604-b9c6-4cf4-a0f9-4d629e08e4e7 · outbound

This paper cites An accuracy metric: Percentages, randomness, and probabilities.Journal of Data and Information Quality (JDIQ), 1(3):1–21, 2009.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements An accuracy metric: Percentages, randomness, and probabilities.Journal of Data and Information Quality (JDIQ), 1(3):1–21, 2009

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:12.011887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5e9c952a-06db-4850-abc2-09daf712df39 · outbound

This paper cites Fair balancing? evaluating llm-based privacy policy ethics assessments.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Fair balancing? evaluating llm-based privacy policy ethics assessments

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:11.810247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdff724f-4d04-4d2b-99db-a3b68f9f28e5 · outbound

This paper cites Examining proposed uses of llms to produce or assess assurance arguments.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Examining proposed uses of llms to produce or assess assurance arguments

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:11.590853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 611a1fb1-59e9-420e-ac46-1e5b0a532e06 · outbound

This paper cites The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements The Power of Stories: Narrative Priming Shapes How LLM Agents Collaborate and Compete

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:55.467092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9764f2c0-025e-473a-8c65-6d8326e3e80e · outbound

This paper cites Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:11.348401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5d78b69c-78c0-4432-aae6-d8608f6e5f1e · outbound

This paper cites Enhancing visual-llm through prompt engineering and a two-stage retrieval- augmented generation algorithm for construction site safety compliance checking.Available at SSRN 5097308.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Enhancing visual-llm through prompt engineering and a two-stage retrieval- augmented generation algorithm for construction site safety compliance checking.Available at SSRN 5097308

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:11.004805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2db6718d-a065-45b4-a24f-af56ca6f374d · outbound

This paper cites An integrated process-based hse management system: A case study.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements An integrated process-based hse management system: A case study

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:10.674823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8a976921-0d24-434b-a565-ab89653d155d · outbound

This paper cites Artificial intelligence in hse.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Artificial intelligence in hse

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:10.338221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b692dad6-1b02-4ad8-8148-708100944ab0 · outbound

This paper cites Rulearena: A benchmark for llm rule-guided reasoning in real-world scenarios.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Rulearena: A benchmark for llm rule-guided reasoning in real-world scenarios

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:09.970913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea2b7a32-fac7-4fc8-99aa-71942b4c4798 · outbound

This paper cites Medcalc-bench: Evaluating large language models for medical calculations.Advances in Neural Information Processing Systems, 37:84730–84745, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Medcalc-bench: Evaluating large language models for medical calculations.Advances in Neural Information Processing Systems, 37:84730–84745, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.257162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4f4614-53ab-4368-899a-3c09e612081d · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements LLaVA-OneVision: Easy Visual Task Transfer

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.403139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c00996-f501-47ef-a56b-ddedb416eb68 · outbound

This paper cites How llms react to industrial spatio-temporal data? assessing hallucination with a novel traffic incident benchmark dataset.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements How llms react to industrial spatio-temporal data? assessing hallucination with a novel traffic incident benchmark dataset

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:09.685409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 745224bd-1b49-4bdc-a912-c46a3c228d81 · outbound

This paper cites Synthetic Context Generation for Question Generation.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Synthetic Context Generation for Question Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.611668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1372ef7-0a1e-48f2-b8c7-81634da34d1f · outbound

This paper cites Understanding auc-roc curve.Towards data science, 26(1):220–227, 2018.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Understanding auc-roc curve.Towards data science, 26(1):220–227, 2018

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:09.378926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00fb3a58-dce4-45b5-9092-205897a11347 · outbound

This paper cites An industrial application of a large language model to enhancing asset integrity and process safety management.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements An industrial application of a large language model to enhancing asset integrity and process safety management

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.980263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d809ddc9-fa32-4229-bd4f-bcd56535e88d · outbound

This paper cites SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:56.971030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380786db-a674-4cf3-935d-df9b287bcfcc · outbound

This paper cites Enhanced identification of equipment failures from descriptive accident reports using language generative model.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Enhanced identification of equipment failures from descriptive accident reports using language generative model

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.707522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e10f47ea-93cf-42e1-8740-f8c3decc6dc5 · outbound

This paper cites Beacon: Benchmark for comprehensive rna tasks and language models.Advances in Neural Information Processing Systems, 37:92891–92921, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Beacon: Benchmark for comprehensive rna tasks and language models.Advances in Neural Information Processing Systems, 37:92891–92921, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.336303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 83eaa31d-089f-4c97-a515-29e310b4c98c · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:57.188916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bc9ee3-9c21-4257-a99c-bb24671f2b0f · outbound

This paper cites How to comply ai generated data with wells hse performance procedures and requirement in practice.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements How to comply ai generated data with wells hse performance procedures and requirement in practice

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:08.180397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48e29214-9e1c-4d2f-aea6-b3ace461ebc9 · outbound

This paper cites Summarizing long regulatory documents with a multi-step pipeline.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Summarizing long regulatory documents with a multi-step pipeline

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.863009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fbb19350-b563-4f98-a5c7-9a11518c14f0 · outbound

This paper cites Legal reasoning.It’s all about IRAC, 2021.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Legal reasoning.It’s all about IRAC, 2021

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.639039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5843fa03-29cb-41ef-8033-d9fb048aae6f · outbound

This paper cites Efficient unsupervised community search with pre-trained graph transformer.Proceedings of the VLDB Endowment, 17(9):2227–2240, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Efficient unsupervised community search with pre-trained graph transformer.Proceedings of the VLDB Endowment, 17(9):2227–2240, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.496440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1446e32c-0515-4460-bc37-03437e26b8d3 · outbound

This paper cites On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements On LLM-Enhanced Mixed-Type Data Imputation with High-Order Message Passing

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:57.842546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd7a1b03-6669-4cd0-a3c0-e51912c554b1 · outbound

This paper cites Missing data imputation with uncertainty-driven network.Proceedings of the ACM on Management of Data, 2(3):1–25, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Missing data imputation with uncertainty-driven network.Proceedings of the ACM on Management of Data, 2(3):1–25, 2024

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.344036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fbce52e-3c9a-4b2c-99b5-2ea198c76717 · outbound

This paper cites Professional readiness of llms in financial regulations? a report of regulations challenge at coling 2025.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Professional readiness of llms in financial regulations? a report of regulations challenge at coling 2025

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:07.182285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c66b4ab7-c0b4-40eb-94cc-ef9678874298 · outbound

This paper cites Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.198152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a216ca7-0e84-42b4-b4f9-2d1490909bd9 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Self-consistency improves chain of thought reasoning in language models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.322530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aefb61c-2c1f-4503-b8b6-aa35eea45949 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Chain-of-thought prompting elicits reasoning in large language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.428054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dda226b-7ba8-4183-8cb8-6eeacf05e76b · outbound

This paper cites Finben: A holistic financial benchmark for large language models.Advances in Neural Information Processing Systems, 37:95716–95743, 2024.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Finben: A holistic financial benchmark for large language models.Advances in Neural Information Processing Systems, 37:95716–95743, 2024

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:58.540494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 008e82f8-a2c6-4f61-bfc4-3f441fb361cb · outbound

This paper cites Smart construction sites: A promising approach to improving on-site hse management performance.Journal of Building Engineering, 49:104007, 2022.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Smart construction sites: A promising approach to improving on-site hse management performance.Journal of Building Engineering, 49:104007, 2022

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.967311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36f6d126-e003-421f-8157-8661bb968432 · outbound

This paper cites isafe chatbot: Natural language processing and large language model driven construction safety learning through osha rules and video content delivery.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements isafe chatbot: Natural language processing and large language model driven construction safety learning through osha rules and video content delivery

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.675728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 775e66fa-493d-4d09-978a-05a4964d3706 · outbound

This paper cites Air-bench 2024: A safety benchmark based on regulation and policies specified risk categories.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Air-bench 2024: A safety benchmark based on regulation and policies specified risk categories

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.512571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6ee7bd86-5926-42cd-a668-865b3fff0550 · outbound

This paper cites Laiw: A chinese legal large language models benchmark based on legal syllogism.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Laiw: A chinese legal large language models benchmark based on legal syllogism

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.325447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d266b532-ff9c-43d9-a9a5-ce6bbd863f87 · outbound

This paper cites Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (jha).

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (jha)

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.167754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fad597c3-b1dd-45f1-b0ff-93fac7ab0d79 · outbound

This paper cites SafetyBench: Evaluating the Safety of Large Language Models.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements SafetyBench: Evaluating the Safety of Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.091799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93010a82-228f-4e0a-aea8-049a65dd576a · outbound

This paper cites Lawbench: A benchmark for evaluating legal knowledge of large language models in chinese legal systems.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Lawbench: A benchmark for evaluating legal knowledge of large language models in chinese legal systems

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:06.012527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0194ff7-7e15-41cd-93ac-77f71ee76939 · outbound

This paper cites k shot of different [Scenario,Question,Options,Answer].

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements k shot of different [Scenario,Question,Options,Answer]

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:00:59.268792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 374c204a-49c4-42d3-9d0a-3aa66bb5f94c · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:05.243426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cad5c8b1-4d0e-4ea4-b26c-2ea23d5e7ca9 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:04.971919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b0e30ef-7df0-4bd3-9dbf-da3641f42016 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:04.732229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 01ca964b-ebe8-479a-9110-f8b05e153430 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:04.459461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dc50a3ce-5083-4e11-a85c-0192fbd41372 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:04.185245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 88a4aaab-69bc-412a-b7a6-5349ce8a359d · outbound

This paper cites region_name.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements region_name

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.850105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef9718a1-0873-49c8-af2e-b89edf701a29 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:05.828480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7696a4a0-fc0d-4bc8-bd87-09d628f45472 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:05.694541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2c0d4d7-c12e-453f-88cc-dd3f14aa9fe7 · outbound

This paper cites The explanation must include: - Specific inferences drawn from the facts.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements The explanation must include: - Specific inferences drawn from the facts

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:05.494870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0d8604a5-e8c6-4ace-952d-233d7e75e82a · outbound

This paper cites For each of these four IRAC components, generate a multiple-choice question with only one correct answer (labeled as m1_question).

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements For each of these four IRAC components, generate a multiple-choice question with only one correct answer (labeled as m1_question)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:03.624737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d5a84d76-b550-4d37-a26a-9fb52e77c0d2 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:03.398873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ad027a8-030f-4af5-9c74-62139720ded6 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:03.127606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8c8bd8af-3d7c-4352-b659-81aabcf44df3 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:02.870531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57b31bb2-5a09-47ce-b0c7-da4300c7cffd · outbound

This paper cites Additionally, include distractor options (e.g.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Additionally, include distractor options (e.g

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:02.588496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31beba91-aec1-4f26-a026-2352caccf2a7 · outbound

This paper cites It should sound like a real internal incident summary or audit finding.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements It should sound like a real internal incident summary or audit finding

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:02.370933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b85eebe4-1f03-4790-bf1d-6213684fdf75 · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:02.095637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95b8abdc-aacf-4a93-af9c-22a59bfcab9f · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:01.821929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a8a111d-8c86-47e0-83f2-0ec956c7984d · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:01.540694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5df4fedf-d35f-4a5a-b326-7e4321107c1d · outbound

This paper cites an unresolved cited work.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:01:01.320595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c69389ed-7357-432b-aaea-9fb6f85440cc · outbound

This paper cites {question}.

LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements {question}

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:01:01.109010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 59e03fc2-394f-4297-be08-ae1fd03da5a9 · inbound

PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation cites this paper.

PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:09.218307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:05.097942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.