Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.16252.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:23:59.976060Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:05:30.736119Z
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 c89e4bb6-e5fb-4c06-a26d-ced4a7e47663 · inbound
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews cites this paper.
Agentic AI Systems Applied to tasks in Financial Services: Modeling and model risk management crews LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T19:23:59.976060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 42bc3767-16a8-401a-8844-5113231cb28c · inbound
Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.
Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:46:04.314606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6149761d-f1eb-47ba-87a1-02e4a9b14614 · inbound
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need cites this paper.
AgentGroupChat-V2: Divide-and-Conquer Is What LLM-Based Multi-Agent System Need LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 2008
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:59:47.142490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1cd34ef-ef79-4d22-ba85-3809e4cf0713 · inbound
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T23:21:42.713894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 17900a39-d5c7-4d47-ae8e-d3ddb0455822 · inbound
Training-Free Multimodal Large Language Model Orchestration cites this paper.
Training-Free Multimodal Large Language Model Orchestration LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:12:53.999658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b563e373-4c4a-48f5-892a-ac25e2329f57 · inbound
Training-Free Multimodal Large Language Model Orchestration cites this paper.
Training-Free Multimodal Large Language Model Orchestration LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:05:30.738913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 137f49c3-7bf0-48a2-abef-67db946e87bd · 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 LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:48:50.732611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1558318-0768-489c-b3b0-7bbcb7630491 · inbound
MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation cites this paper.
MAP-Law: Coverage-Driven Retrieval Control for Multi-Turn Legal Consultation LawLuo: A Multi-Agent Collaborative Framework for Multi-Round Chinese Legal Consultation
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T16:56:09.237883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.