Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.15547.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:32:56.311066Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T12:41:33.427473Z
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 7394e6a4-6bbd-4076-b7a9-f511664e8412 · inbound
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing Data Cleaning Using Large Language Models
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a1c59f8-ebd5-487f-88fa-b33a30a17c38 · inbound
ScaleDoc: Scaling LLM-based Predicates over Large Document Collections Data Cleaning Using Large Language Models
Reference 45
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 3fc8c9d9-a3d7-44b7-a0da-c21876ae92cb · inbound
Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data Data Cleaning Using Large Language Models
Reference 23
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 e18e7ed0-688f-43a1-b55b-2a69e8f7f174 · inbound
AgentFAIR: A Multi-Agent Collaborative Framework for FAIRness Evaluation of Geospatial Datasets Data Cleaning Using Large Language Models
Reference 33
Source-reported events for the cited work
Unavailable: canonical work link unavailable.