Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:29.665310Z
Paper Citation Record · LEDGER
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents
As of 8 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2608.06312.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact1
- verified fuzzy20
- unresolved38
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b37b6b9a-8584-4f6c-a980-a15d897d638e · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:21.426003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd19dba9-daab-4af5-a676-27a0c8874d44 · outbound
This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:21.587773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92fb491b-8fd4-4a51-979f-0f82a19fcf67 · outbound
This paper cites Qwen2.5-1M Technical Report.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Qwen2.5-1M Technical Report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:21.792007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8284316d-0863-44f2-82db-9e83188366f6 · outbound
This paper cites The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:21.906429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80cfdfbf-6077-431e-874c-c387e22c91dd · outbound
This paper cites arXiv preprint arXiv:2606.19348 , year=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents arXiv preprint arXiv:2606.19348 , year=
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:22.042799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59b0843f-8750-4016-b0e9-f8640e2261d6 · outbound
This paper cites Qwen3 Technical Report.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Qwen3 Technical Report
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:22.171137Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b630b7ca-6ffc-431b-9edd-fdf5e481aca6 · outbound
This paper cites Advances in neural information processing systems , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Advances in neural information processing systems , volume=
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:22.297590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4a4b59a-ac4d-4c09-a082-7f7bea8394e3 · outbound
This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:36.529940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3c174370-f9db-4992-871d-6e304f3ff8f6 · outbound
This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 2024 conference on empirical methods in natural language processing , pages=
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:22.477170Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9aba8d10-e3a3-4def-9019-6400ed2ab84d · outbound
This paper cites an unresolved cited work.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Unresolved cited work
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:22.599267Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fdf6f0f-c378-45cf-864d-ec74793a0c1b · outbound
This paper cites FinanceBench: A New Benchmark for Financial Question Answering.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents FinanceBench: A New Benchmark for Financial Question Answering
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:22.717449Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 47f26a0f-fd5e-4fb8-89c7-209bae63279e · outbound
This paper cites Advances in neural information processing systems , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Advances in neural information processing systems , volume=
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:36.221633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a2cbf0e8-2070-49ed-9a0e-518ab9390502 · outbound
This paper cites an unresolved cited work.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:49:36.086564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1f3d1138-35dc-4b92-ae7d-067bca1052a1 · outbound
This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Findings of the Association for Computational Linguistics: ACL 2024 , pages=
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:35.848745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b98f823e-a5c1-410b-a8ed-15b414286bd2 · outbound
This paper cites Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) , pages=
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:35.657836Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 41b49ea8-bfa2-48d4-abef-ea158fbca7c5 · outbound
This paper cites Journal of Artificial Intelligence Research , author=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Journal of Artificial Intelligence Research , author=
Reference 16
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T05:49:31.002254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4ec7759e-b5f4-45c8-b190-84700ff4e436 · outbound
This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:23.473812Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d5afadd-873b-45c2-9a3f-c8c228fae72c · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents The Eleventh International Conference on Learning Representations , year=
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:23.580799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 466d58f9-4e69-4b7c-8028-ba8840fdb24f · outbound
This paper cites Advances in neural information processing systems , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Advances in neural information processing systems , volume=
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:23.681253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87782e9f-23b8-446e-a42f-fe0afb16d460 · outbound
This paper cites Gorilla: Large Language Model Connected with Massive APIs.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Gorilla: Large Language Model Connected with Massive APIs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:23.853606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96ccf7ed-6252-41c9-8e5d-24e4c0350a08 · outbound
This paper cites International Conference on Learning Representations , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents International Conference on Learning Representations , volume=
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:23.957081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35f5cad1-29da-44c4-8384-2a8dd1edc1f0 · outbound
This paper cites AutoGen: Enabling Next-Gen.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents AutoGen: Enabling Next-Gen
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:24.101295Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d4f6248-2e21-4611-9e32-a56ce8cda2ff · outbound
This paper cites TaskWeaver: A Code-First Agent Framework.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents TaskWeaver: A Code-First Agent Framework
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:24.214318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c35b6044-3b53-4072-99e0-ade721890492 · outbound
This paper cites International Conference on Learning Representations , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents International Conference on Learning Representations , volume=
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:24.354531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 703149a1-8c74-40fc-a9a4-db07354d1a1c · outbound
This paper cites 27th USENIX Security Symposium (USENIX Security 18) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents 27th USENIX Security Symposium (USENIX Security 18) , pages=
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:35.359609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 52a455d7-b3e0-4f7d-819e-f1bac2772824 · outbound
This paper cites an unresolved cited work.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:49:35.129594Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 979ee601-0b57-4618-a153-621512fefc75 · outbound
This paper cites Findings of the Association for Computational Linguistics: EMNLP 2020 , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Findings of the Association for Computational Linguistics: EMNLP 2020 , pages=
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:34.889133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f60bf87b-bb7e-405d-a00e-09e3aa494843 · outbound
This paper cites IEEE Transactions on Software Engineering , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents IEEE Transactions on Software Engineering , volume=
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:34.597353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4733c1ea-477e-4983-86d6-43eaf372d376 · outbound
This paper cites ACM Computing Surveys (CSUR) , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents ACM Computing Surveys (CSUR) , volume=
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:34.347062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1cd4c3b9-b3a1-48ea-9307-d402208c8433 · outbound
This paper cites txt, a cheap Shallow Parsing approach for Regulatory texts , author=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents txt, a cheap Shallow Parsing approach for Regulatory texts , author=
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:34.120058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 51c5e303-25ce-4e2d-bb93-ae9122af5925 · outbound
This paper cites Scientific data , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Scientific data , volume=
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:25.284368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4c3eb73-51d7-4ea9-a357-82a34af1f394 · outbound
This paper cites arXiv preprint arXiv:2603.23519 , year=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents arXiv preprint arXiv:2603.23519 , year=
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:25.427561Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef29c3c1-c174-4a35-82f4-bdaa05fa2d07 · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:33.951222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 512d389f-089d-4e7f-87fe-b24af1f95f30 · outbound
This paper cites IEEE access , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents IEEE access , volume=
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:33.699240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a4c44893-cfa7-4c47-baba-d55b18892a61 · outbound
This paper cites Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 62nd annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:25.883922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a012409d-df1a-40f6-ad11-7264d22f3202 · outbound
This paper cites Qwen-Image Technical Report.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Qwen-Image Technical Report
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:26.030021Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de703f0b-4940-4d19-abe1-5f57d4f70b4a · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the AAAI Conference on Artificial Intelligence , volume=
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:33.471774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ffa1beb4-6f22-4071-bb82-b6c6eb196cbe · outbound
This paper cites IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents IndustryBench: Probing the Industrial Knowledge Boundaries of LLMs
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:26.272401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02b65240-d639-49a1-9b42-c69f69d3c874 · outbound
This paper cites Physical-Layer Signal Injection Attacks on EV Charging Ports: Bypassing Authentication via Electrical-Level Exploits.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Physical-Layer Signal Injection Attacks on EV Charging Ports: Bypassing Authentication via Electrical-Level Exploits
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T05:49:30.511176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 242de829-b719-45be-9f7b-b5082b603965 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , url =.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , url =
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:26.504189Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f172a2cf-2dfc-4a2e-957d-28faa14bc159 · outbound
This paper cites The Eleventh International Conference on Learning Representations , year=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents The Eleventh International Conference on Learning Representations , year=
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:26.642090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 306b460d-25b3-497c-8070-96873e6f248c · outbound
This paper cites Training language models to follow instructions with human feedback , url =.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Training language models to follow instructions with human feedback , url =
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:26.760835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2ea905e-d121-4c2c-a2ed-9093b0fef070 · outbound
This paper cites L -Eval: Instituting Standardized Evaluation for Long Context Language Models.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents L -Eval: Instituting Standardized Evaluation for Long Context Language Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:26.887268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2893ee0-873e-4f2c-b6df-5752ca009e71 · outbound
This paper cites 2024 , url=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents 2024 , url=
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:27.036670Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 795929a7-6e76-4f86-815b-62c60dbc1b66 · outbound
This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:33.247361Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ecbbfaf4-7382-4eb5-81d4-a6e294d8bce3 · outbound
This paper cites The Twelfth International Conference on Learning Representations , year=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents The Twelfth International Conference on Learning Representations , year=
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:33.005112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1e5fe0e4-6e43-4227-b72b-a17bcc82f408 · outbound
This paper cites Findings of the Association for Computational Linguistics: EMNLP 2021 , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Findings of the Association for Computational Linguistics: EMNLP 2021 , pages=
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:27.481197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 75141fb6-23de-496d-b27d-44c0aca8683c · outbound
This paper cites and Gardner, Matt.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents and Gardner, Matt
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:27.653428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86bd0a3c-775e-4888-a8d5-af4b227376b3 · outbound
This paper cites ACORD : An Expert-Annotated Retrieval Dataset for Legal Contract Drafting.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents ACORD : An Expert-Annotated Retrieval Dataset for Legal Contract Drafting
Reference 49
- Resolution
- verified exact
- doi, observed 2026-08-07T05:49:29.986176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8aad16ee-e78a-471b-bc75-66c812633682 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Advances in Neural Information Processing Systems , volume=
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:32.785964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 095c4c7f-a0a6-4fcd-9c84-9a6d94da84a5 · outbound
This paper cites Proceedings of the 2018 conference of the North American chapter of the Association for Computational Linguistics: Human language technologies, volume 1 (long papers) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 2018 conference of the North American chapter of the Association for Computational Linguistics: Human language technologies, volume 1 (long papers) , pages=
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:32.553618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ae454bf9-16be-4ff2-80f4-b9f093308b00 · outbound
This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:32.276411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f0984ac8-6f3f-444b-923d-4ccaf755acbf · outbound
This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:28.453015Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8774cbed-a1af-4790-aeb9-6cb58f71064d · outbound
This paper cites D oc M ath-Eval: Evaluating Math Reasoning Capabilities of LLM s in Understanding Long and Specialized Documents.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents D oc M ath-Eval: Evaluating Math Reasoning Capabilities of LLM s in Understanding Long and Specialized Documents
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:28.624966Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef2ffef8-dae6-4c41-abe8-7f38a7643daa · outbound
This paper cites L ong D oc URL : a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents L ong D oc URL : a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:28.780194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be39bc49-bc04-445a-889f-1b244acaad77 · outbound
This paper cites Marathon: A Race Through the Realm of Long Context with Large Language Models.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Marathon: A Race Through the Realm of Long Context with Large Language Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:28.944679Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd222f99-07e2-42ec-a6ef-3e0c9ccdb251 · outbound
This paper cites LONGAGENT : Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents LONGAGENT : Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:29.124793Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee9968ae-5863-4866-ba4b-33f3b17f2f0b · outbound
This paper cites Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 , pages =.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 , pages =
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:49:29.276413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41ed5e38-1ea7-4f28-9cc1-7baf895ea063 · outbound
This paper cites 2021 , url=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents 2021 , url=
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:32.021891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3d48fa26-701c-4809-9d04-b57dbd0d22fb · outbound
This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages=.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence , pages=
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:31.707433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 76d5f9b3-44d6-4c85-86d9-413eaba4932f · outbound
This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , pages =.
Benchmarking and Enhancing LLMs for Rule-Intensive Review of National Standard Documents Proceedings of the AAAI Conference on Artificial Intelligence , pages =
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:49:31.439432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.