Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models Synergize with Automated Machine Learning
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.03727.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:44:19.301869Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T00:39:48.432673Z
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 0deb3255-412f-4c6e-bc68-f59b3a418fb0 · inbound
RideAgent: An LLM-Enhanced Optimization Framework for Automated Taxi Fleet Operations cites this paper.
RideAgent: An LLM-Enhanced Optimization Framework for Automated Taxi Fleet Operations Large Language Models Synergize with Automated Machine Learning
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:44:19.301869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04660837-273f-4daf-9a61-22abfce0d879 · inbound
LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.
LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation Large Language Models Synergize with Automated Machine Learning
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:57.364348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef9880ac-ae3e-493f-9004-58993b3aac9b · inbound
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data cites this paper.
Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data Large Language Models Synergize with Automated Machine Learning
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T00:39:48.434274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.