Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.10422.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T02:32:09.581337Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T14:49:54.637486Z
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 0b1b10a6-8971-463b-9edc-4149f46d55e7 · inbound
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T14:49:54.640029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 444a7a84-ad99-48ee-9de3-7a545ac53b4e · inbound
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.
EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T02:32:09.581337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0e931ca-fddc-4563-a916-31b1966849ac · inbound
Scalable LLM Agent Tool Access in the Cloud cites this paper.
Scalable LLM Agent Tool Access in the Cloud AutoPrep: Natural Language Question-Aware Data Preparation with a Multi-Agent Framework
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T22:57:35.820277Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.