Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Spurious Feature Diversification Improves Out-of-distribution Generalization
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.17230.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T17:55:13.860473Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T01:03:57.922805Z
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 d9f3d4ec-cfa5-40b9-8788-4841e330076c · inbound
Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models cites this paper.
Video-Text Dataset Construction from Multi-AI Feedback: Promoting Weak-to-Strong Preference Learning for Video Large Language Models Spurious Feature Diversification Improves Out-of-distribution Generalization
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:31:10.736454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96fbe0d2-f1e5-4ee2-a6ba-f0f65aecc7c0 · inbound
Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods cites this paper.
Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods Spurious Feature Diversification Improves Out-of-distribution Generalization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:40:09.899709Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d2f5151-84d7-480d-9bb1-bac74c918a94 · inbound
Learning Causality for Modern Machine Learning cites this paper.
Learning Causality for Modern Machine Learning Spurious Feature Diversification Improves Out-of-distribution Generalization
Reference 40
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T01:03:58.044151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ef7c91a6-7714-45f7-84c4-ec3ad290b026 · inbound
SDD: Self-Degraded Defense against Malicious Fine-tuning cites this paper.
SDD: Self-Degraded Defense against Malicious Fine-tuning Spurious Feature Diversification Improves Out-of-distribution Generalization
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T17:55:13.860473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa981351-cdd1-4906-8b72-001ca6833084 · inbound
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling cites this paper.
Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling Spurious Feature Diversification Improves Out-of-distribution Generalization
Reference 281
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T01:06:24.853310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.