Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.15466.
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 2026-08-07T10:57:31.309087Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T02:15:14.208876Z
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 987ee2f7-5ae0-4a29-a165-96cfc47b228f · inbound
On the Usage of Gaussian Process for Efficient Data Valuation cites this paper.
On the Usage of Gaussian Process for Efficient Data Valuation Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:57:31.309087Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23069045-279e-4eab-917e-851567a8e5e8 · inbound
Semivalue-based data valuation is arbitrary and gameable cites this paper.
Semivalue-based data valuation is arbitrary and gameable Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:56:03.178476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 028ea018-c05f-48fb-bfc4-b36301c04240 · inbound
CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces cites this paper.
CHRONOS: Temporally-Aware Multi-Agent Coordination for Evolving Data Marketplaces Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T02:15:14.212874Z
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.