Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:11:41.853780Z
Paper Citation Record · LEDGER
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law
As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2507.00875.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T00:56:03.545227Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T21:11:15.548964Z
Reference resolution
27 of 27 outbound references displayed
- verified exact0
- verified fuzzy13
- unresolved13
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ddb4b76b-37e4-43e7-8c23-b955877b41f1 · outbound
This paper cites GPT-4 Technical Report.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.707908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c582b04e-9909-46f8-a902-5fa02116baab · outbound
This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.746509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a8a3cb-0fe6-43f5-b020-032276d99e8c · outbound
This paper cites Tear: Improv- ing llm-based machine translation with systematic self- refinement.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Tear: Improv- ing llm-based machine translation with systematic self- refinement
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.261866Z
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 4fa8a3d9-28f5-40d2-816b-cb3e8b1c88eb · outbound
This paper cites M., Rei, R., Stigt, D.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law M., Rei, R., Stigt, D
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.246157Z
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 e034c22a-520d-4da7-84de-b348246a9748 · outbound
This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.764746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03045430-7a6c-457c-aa9f-f80e14a0a581 · outbound
This paper cites GPT-4o System Card.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law GPT-4o System Card
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.769955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5222f2e-13ee-4d60-bda7-bc9ab618eaa3 · outbound
This paper cites Jones Jr, D.
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.230641Z
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 b2598d96-995b-4134-ab67-06ce82672f3f · outbound
This paper cites doi: 10.18653/v1/2024.emnlp-main.992.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law doi: 10.18653/v1/2024.emnlp-main.992
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.787866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1089eff2-fa7a-4eb0-930f-fe69fbbb6fa6 · outbound
This paper cites Examining inter-consistency of large language models collaboration: An in-depth analysis via debate.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Examining inter-consistency of large language models collaboration: An in-depth analysis via debate
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.162978Z
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 b9f3ac60-501a-45b2-a054-26386ddf54a1 · outbound
This paper cites Baichuan 2: Open Large-scale Language Models.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Baichuan 2: Open Large-scale Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.816046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1148b33-5492-406d-86f9-67c2037f6492 · outbound
This paper cites Use of AI Assistants We used Claude Opus 4.7 and Sonnet 4.6 for coding, shortening texts and editing LaTeX more efficiently.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Use of AI Assistants We used Claude Opus 4.7 and Sonnet 4.6 for coding, shortening texts and editing LaTeX more efficiently
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.144687Z
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 65e6896e-c84b-449c-b661-df5efe74c76e · outbound
This paper cites an unresolved cited work.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:42.108101Z
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 ef3504f4-6f50-4fdd-9f6a-5cbcd282147f · outbound
This paper cites an unresolved cited work.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:42.091779Z
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 85fce67f-56ae-4510-9338-4de189fdfd00 · outbound
This paper cites FACC 1/2021), comparing the source text and target translation.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law FACC 1/2021), comparing the source text and target translation
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.075665Z
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 55395043-5d11-46b9-a31f-c69349304c76 · outbound
This paper cites task_mode.
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.058913Z
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 9e625c49-d1ea-4af8-95d7-0c82a23f99af · outbound
This paper cites Cap." and.
Reference 27
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-06T21:11:42.041385Z
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 21bcb2de-3b33-4370-9a93-9ea610d2ef22 · outbound
This paper cites V ., Guerreiro, N.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law V ., Guerreiro, N
Reference 1999
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.180606Z
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 f608ec6c-ad4f-4117-9143-6993496dcdd7 · outbound
This paper cites and He, L.
Reference 2002
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.278139Z
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 33b06d16-f2ec-4894-831d-d2f95e7b7905 · outbound
This paper cites Llm-based translation inference with iterative bilingual understanding.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Llm-based translation inference with iterative bilingual understanding
Reference 2012
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.316251Z
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 f1756d13-7924-40ef-adb2-c9e5e35795b3 · outbound
This paper cites Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts Architecture
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.740567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d519ad29-c7c5-4451-afa4-22729b47f226 · outbound
This paper cites SwiLTra-Bench: The Swiss Legal Translation Benchmark.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law SwiLTra-Bench: The Swiss Legal Translation Benchmark
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.794150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c7c8a69-0262-49dc-9323-51a70371bba6 · outbound
This paper cites 1 OF 2021 (CRIMINAL) (ON APPEAL FROM HCCP NOS.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law 1 OF 2021 (CRIMINAL) (ON APPEAL FROM HCCP NOS
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.126519Z
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 adf361c4-8f28-4c17-971f-d2afdf031309 · outbound
This paper cites International and supranational law in translation: From multilingual lawmaking to adjudication.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law International and supranational law in translation: From multilingual lawmaking to adjudication
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.196910Z
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 685411f8-4609-4e9d-b814-cf425794c076 · outbound
This paper cites Qwen Technical Report.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Qwen Technical Report
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:11:41.713859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a27dbd08-50fd-40e7-b43c-295db12abd94 · outbound
This paper cites an unresolved cited work.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Unresolved cited work
Reference 2024
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:42.332815Z
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 86487de8-99c1-457f-9326-edaf0581190f · outbound
This paper cites an unresolved cited work.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Unresolved cited work
Reference 2025
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T21:11:42.297934Z
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 7399b9bc-2078-4730-8c2b-cdb9370de59a · outbound
This paper cites Encouraging diver- gent thinking in large language models through multi- agent debate.
TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law Encouraging diver- gent thinking in large language models through multi- agent debate
Reference 2026
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T21:11:42.214542Z
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 9786e7e2-96f6-4a15-8928-b21ab0fadf8c · inbound
Multilingual Source Tracing of Speech Deepfakes: A First Benchmark cites this paper.
Multilingual Source Tracing of Speech Deepfakes: A First Benchmark TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:56:03.545227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26e2c335-6c2f-4e9c-aa7e-b8ba06f2eef2 · inbound
Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative cites this paper.
Fake-Mamba: Real-Time Speech Deepfake Detection Using Bidirectional Mamba as Self-Attention's Alternative TransLaw: A Large-Scale Dataset and Multi-Agent Benchmark Simulating Professional Translation of Hong Kong Case Law
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T21:11:15.572787Z
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.