Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T08:45:57.010228Z
Paper Citation Record · LEDGER
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text
As of 10 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2604.16270.
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 2026-08-10T06:31:04.303077+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
9 of 9 outbound references displayed
- verified exact2
- verified fuzzy6
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4f5504d3-4b67-4fc5-90bd-2d1f29a94f67 · outbound
This paper cites Unsupervised Simplification of Legal Texts.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text Unsupervised Simplification of Legal Texts
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:48:01.591543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b0a7a12f-f72c-4927-9158-c3510a0beafd · outbound
This paper cites LEGAL-BERT: The Muppets straight out of Law School.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text LEGAL-BERT: The Muppets straight out of Law School
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T08:48:01.599449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f329a73b-e2f7-4c79-8b82-5a6a923dfc48 · outbound
This paper cites Large legal fictions: Profiling legal hallucinations in large language models.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text Large legal fictions: Profiling legal hallucinations in large language models
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:24:00.483357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 35f244d4-fcdd-43d8-a31e-a7f2da110277 · outbound
This paper cites Text simplification for legal domain: Insights and challenges.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text Text simplification for legal domain: Insights and challenges
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:24:00.489349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ec9a2bbb-f39d-42b6-95f5-15d40aad65a8 · outbound
This paper cites A rapid evidence review of evaluation techniques for large language models in legal use cases: trends, gaps, and recommendations for future research.AI & SOCIETY, pages 1–19.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text A rapid evidence review of evaluation techniques for large language models in legal use cases: trends, gaps, and recommendations for future research.AI & SOCIETY, pages 1–19
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:24:00.480528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8aa15656-eea6-407a-9deb-87d124b8117a · outbound
This paper cites Large language models in law: A survey.AI Open, 5:181–196.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text Large language models in law: A survey.AI Open, 5:181–196
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:24:00.486195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 57a3a5fb-e0c5-499c-a752-d908be94f38c · outbound
This paper cites VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T08:48:01.587755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5bf6dd00-7c99-4a1a-9ac2-cf26f2a7dc3b · outbound
This paper cites Access to justice in Vietnam: State supply–private distrust.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text Access to justice in Vietnam: State supply–private distrust
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:24:00.475268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aca78b5d-c63d-4563-b01b-590fe6696725 · outbound
This paper cites Top 2 at alqac 2024: Large language models (llms) for legal question answering.International Journal of Asian Language Processing, 35(01):2450010.
From Benchmarking to Reasoning: A Dual-Aspect, Large-Scale Evaluation of LLMs on Vietnamese Legal Text Top 2 at alqac 2024: Large language models (llms) for legal question answering.International Journal of Asian Language Processing, 35(01):2450010
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T20:24:00.477857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.