Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2309.11325.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T23:59:29.519552Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:59:19.868722Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 18d225d4-54bc-4aee-a8eb-a965537c1944 · inbound
A Survey on Knowledge Distillation of Large Language Models cites this paper.
A Survey on Knowledge Distillation of Large Language Models DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 257
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T23:31:11.486679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3e21a8cf-657b-4856-8bef-2136eab9a4ac · inbound
Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.
Retrieval-Augmented Generation for AI-Generated Content: A Survey DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 195
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T13:32:17.478365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 93cd4be0-0cf7-438e-b8c0-6dc22e1c589f · inbound
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling cites this paper.
PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T19:43:23.690395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ec3e91e0-8e34-4731-8f45-03fc67016faf · inbound
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 286
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:08:35.879419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ace7340-eeb6-4687-9183-43c0b14e3f96 · inbound
SVGen: Interpretable Vector Graphics Generation with Large Language Models cites this paper.
SVGen: Interpretable Vector Graphics Generation with Large Language Models DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:59:29.519552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62efc341-c659-4a15-b3c1-427d5da09328 · inbound
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases cites this paper.
LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T22:48:38.287995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40cc7cab-2c87-462d-becd-1f861144b07a · inbound
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models cites this paper.
VLegal-Bench: Cognitively Grounded Benchmark for Vietnamese Legal Reasoning of Large Language Models DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:38:34.173591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 698e83ed-bd67-4e19-bd62-05d3dbc38cf9 · inbound
LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning cites this paper.
LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T10:57:46.861359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation a8862b74-64f3-4a52-9fed-031c20242023 · inbound
TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice cites this paper.
TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:41:00.640807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 67ac3a1a-d77f-4f92-aeca-685a11b26bee · inbound
RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game cites this paper.
RCBSF: A Multi-Agent Framework for Automated Contract Revision via Stackelberg Game DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T09:50:58.757138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 571762a2-1c13-4d3f-a25e-e5dd3eb4d85a · inbound
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models cites this paper.
LegalDrill: Diagnosis-Driven Synthesis for Legal Reasoning in Small Language Models DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:16:25.978199Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 832f54c2-1fbc-4fa8-906f-ff973d9be835 · inbound
Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning cites this paper.
Which Changes Matter? Towards Trustworthy Legal AI via Relevance-Sensitive Evaluation and Solver-Grounded Reasoning DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 32
- Resolution
- malformed identifier
- arxiv_id, observed 2026-06-29T18:43:50.581003Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 29058fe9-b49b-4a97-8787-c97b9e6a1e23 · inbound
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning cites this paper.
LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 13
- Resolution
- malformed identifier
- arxiv_id, observed 2026-06-29T13:23:28.251857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 9bc49c3d-e9cd-4169-963d-76a78640ebfc · inbound
An Ontology-Guided Multi-Anchor Graph Retrieval Framework for Traffic Legal Liability Determination cites this paper.
An Ontology-Guided Multi-Anchor Graph Retrieval Framework for Traffic Legal Liability Determination DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T11:18:03.655705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 367108e7-7ca9-4547-bfa9-f2319b556411 · inbound
LegalWorld: A Life-Cycle Interactive Environment for Legal Agents cites this paper.
LegalWorld: A Life-Cycle Interactive Environment for Legal Agents DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:59:19.873586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1e734676-426f-4feb-9734-724d1c6dc678 · inbound
NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO cites this paper.
NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T22:45:47.429470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93769064-59df-4fd4-aa35-46300b928e1e · inbound
NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO cites this paper.
NormWorlds-CF: Solver-Verified Counterfactual Normative Reasoning with Metamorphic-Relation GRPO DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:49:45.991281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83b901b2-45f7-4d04-86cf-772714be97c9 · inbound
Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory cites this paper.
Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T23:07:18.133745Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.