Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Causality-oriented robustness: exploiting general noise interventions
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.10299.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T11:28:00.006711Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T10:17:57.842926Z
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 d3b31aea-435b-4eb2-9d71-1900f93ccaf9 · inbound
Achievable distributional robustness when the robust risk is only partially identified cites this paper.
Achievable distributional robustness when the robust risk is only partially identified Causality-oriented robustness: exploiting general noise interventions
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:28:00.006711Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f723aba-6e3a-494c-967f-ff6ed42d7fcb · inbound
Doubly robust identification of treatment effects from multiple environments cites this paper.
Doubly robust identification of treatment effects from multiple environments Causality-oriented robustness: exploiting general noise interventions
Reference 78
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:42:16.473871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c50f2b88-245d-4f06-9918-ba037bcf2373 · inbound
Treatment effect estimation by comparing observed and predicted outcomes: conditions for valid inference and practical illustration cites this paper.
Treatment effect estimation by comparing observed and predicted outcomes: conditions for valid inference and practical illustration Causality-oriented robustness: exploiting general noise interventions
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:07:33.919757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 453831e1-7b9b-4bc0-816c-22372ff08a65 · inbound
Environment-Robust Representation Learning with Empirical Bayes cites this paper.
Environment-Robust Representation Learning with Empirical Bayes Causality-oriented robustness: exploiting general noise interventions
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T11:26:54.482537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10ad6c83-35f1-4f02-af0e-39872f9e9cc1 · inbound
How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings? cites this paper.
How Useful is Causal Invariance for Domain Adaptation in Finite-Sample Settings? Causality-oriented robustness: exploiting general noise interventions
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:17:57.844614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.