Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:10:16.876703Z
Paper Citation Record · LEDGER
CitaLaw: Enhancing LLM with Citations in Legal Domain
As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 4 inbound Pith citation observations for arXiv:2412.14556.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:21:48.459902Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T11:48:52.697336Z
Reference resolution
16 of 16 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved13
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dfc85647-6ff7-4290-8adb-4699a3c897ef · outbound
This paper cites (2) Lex- iLaw7 (6B): It specifically utilizes legal articles and legal reference books for training.
CitaLaw: Enhancing LLM with Citations in Legal Domain (2) Lex- iLaw7 (6B): It specifically utilizes legal articles and legal reference books for training
Reference 3
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T12:10:16.973260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 72aada3b-898c-40ff-aaac-12be985d4f92 · outbound
This paper cites LawBench: Benchmarking Legal Knowledge of Large Language Models.
CitaLaw: Enhancing LLM with Citations in Legal Domain LawBench: Benchmarking Legal Knowledge of Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.843139Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27475c50-fda1-4010-95aa-831e654b2bd1 · outbound
This paper cites A Survey of Large Language Models Attribution.
CitaLaw: Enhancing LLM with Citations in Legal Domain A Survey of Large Language Models Attribution
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.846048Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81ac5252-f183-47da-b666-152dfa30b3e6 · outbound
This paper cites LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models.
CitaLaw: Enhancing LLM with Citations in Legal Domain LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.848659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ffa517-e077-4d38-acd7-e692a5dadd6a · outbound
This paper cites an unresolved cited work.
CitaLaw: Enhancing LLM with Citations in Legal Domain Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T12:10:16.987443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4f85bd35-11c3-40ca-8537-99757ea59d44 · outbound
This paper cites Explaining Legal Concepts with Augmented Large Language Models (GPT-4).
CitaLaw: Enhancing LLM with Citations in Legal Domain Explaining Legal Concepts with Augmented Large Language Models (GPT-4)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.856188Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation abec9c61-0c1f-4c95-bf83-735138512340 · outbound
This paper cites C-Pack: Packed Resources For General Chinese Embeddings.
CitaLaw: Enhancing LLM with Citations in Legal Domain C-Pack: Packed Resources For General Chinese Embeddings
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.861037Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d95319d2-4fa0-4561-8ce7-f5d3357b1d2e · outbound
This paper cites Qwen2 Technical Report.
CitaLaw: Enhancing LLM with Citations in Legal Domain Qwen2 Technical Report
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.864250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc16e312-4bbd-415a-89f2-4e96ff3fa1fb · outbound
This paper cites DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services.
CitaLaw: Enhancing LLM with Citations in Legal Domain DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.866902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a5e7d78-31fe-484c-af91-b213928373b3 · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
CitaLaw: Enhancing LLM with Citations in Legal Domain BERTScore: Evaluating Text Generation with BERT
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.869816Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66343326-594f-4c92-9d13-5afce47ad7ca · outbound
This paper cites LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model.
CitaLaw: Enhancing LLM with Citations in Legal Domain LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.874156Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13127fee-3a74-4586-9c7c-9be04c848868 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
CitaLaw: Enhancing LLM with Citations in Legal Domain BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.840164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1dbb021-228b-4de7-8b52-4c0aa278646e · outbound
This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.
CitaLaw: Enhancing LLM with Citations in Legal Domain Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.853907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 347f14a7-d239-47ba-ad04-13e59957d558 · outbound
This paper cites In Proceedings of the 2020 con- ference on empirical methods in natural language processing: system demonstrations, pages 38–45.
CitaLaw: Enhancing LLM with Citations in Legal Domain In Proceedings of the 2020 con- ference on empirical methods in natural language processing: system demonstrations, pages 38–45
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T12:10:16.980473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e3606f9b-49cb-4307-9d53-a005abb8369d · outbound
This paper cites LAiW: A Chinese Legal Large Language Models Benchmark.
CitaLaw: Enhancing LLM with Citations in Legal Domain LAiW: A Chinese Legal Large Language Models Benchmark
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:10:16.832404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4377663d-dd64-479a-ba99-9efafa301815 · outbound
This paper cites WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations.
CitaLaw: Enhancing LLM with Citations in Legal Domain WebCiteS: Attributed Query-Focused Summarization on Chinese Web Search Results with Citations
Reference 2024
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T12:10:16.959538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
Observation 10824172-776e-44b2-baf1-16fbc9a7b8e4 · inbound
The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment cites this paper.
The Missing Link: Joint Legal Citation Prediction using Heterogeneous Graph Enrichment CitaLaw: Enhancing LLM with Citations in Legal Domain
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:13:42.855480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e93ecea-8757-496b-bcbd-84c0f03f5c76 · inbound
Bridging Search and Recommendation through Latent Cross Reasoning cites this paper.
Bridging Search and Recommendation through Latent Cross Reasoning CitaLaw: Enhancing LLM with Citations in Legal Domain
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:57:14.522884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d587dc58-e5e7-444f-abc7-51216360f881 · inbound
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents cites this paper.
LLMs for LLMs: A Structured Prompting Methodology for Long Legal Documents CitaLaw: Enhancing LLM with Citations in Legal Domain
Reference 78
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T11:48:52.795319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 91b4ddd0-6230-4e0a-a091-062ae477c153 · inbound
PL-CA: A Parametric Legal Case Augmentation Framework cites this paper.
PL-CA: A Parametric Legal Case Augmentation Framework CitaLaw: Enhancing LLM with Citations in Legal Domain
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:21:48.459902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.