Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.09790.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:36.227467Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T06:00:00.616371Z
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 67c1eaa4-1e9c-429a-8891-57ecc1445894 · inbound
A Reinforcement-Learning-Enhanced LLM Framework for Automated A/B Testing in Personalized Marketing cites this paper.
A Reinforcement-Learning-Enhanced LLM Framework for Automated A/B Testing in Personalized Marketing A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:53:36.227467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eac84f24-6d74-4d91-a2bf-88a7ba4f4354 · inbound
Inward and Outward Spillover Effects of One Unit's Treatment on Network Neighbors under Partial Interference cites this paper.
Inward and Outward Spillover Effects of One Unit's Treatment on Network Neighbors under Partial Interference A Two-Part Machine Learning Approach to Characterizing Network Interference in A/B Testing
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T06:00:00.621553Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.