Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.13861.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T16:25:31.340666Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:23:34.890871Z
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 e05fea61-dc8a-499f-93af-1dfc4562ea8a · inbound
SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation cites this paper.
SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:25:31.340666Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53cb7596-9dc7-46fd-8b81-e294d62cb31c · inbound
LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction cites this paper.
LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction Auto-Pipeline: Synthesizing Complex Data Pipelines By-Target Using Reinforcement Learning and Search
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:23:34.971066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.