Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.01840.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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, observed 2026-06-29T22:04:47.044235Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T22:14:00.360833Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 44cf7253-d0fd-4fca-bfd8-faee30d95277 · inbound
Fine-grained Claim-level RAG Benchmark for Law LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
Reference 37
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 955aa658-8a72-4551-bdfd-fcb4df1c29ec · inbound
Fine-grained Claim-level RAG Benchmark for Law LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
Reference 37
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 81847118-fef7-401b-a95c-fe9d3d73824e · inbound
Fine-grained Claim-level RAG Benchmark for Law LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
Reference 37
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 2ab5190a-7f3a-4fdf-a308-c312f2a8e6c6 · inbound
Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning LRAGE: Legal Retrieval Augmented Generation Evaluation Tool
Reference 3
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.