Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unifying Causal Representation Learning with the Invariance Principle
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.02772.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:51.790284Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 28bd0018-fddb-4b77-a6bb-3e038f23cb93 · inbound
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration cites this paper.
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration Unifying Causal Representation Learning with the Invariance Principle
Reference 491
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:07:51.790284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5074c182-543e-43ba-8cc4-81a6c658ad74 · inbound
A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation cites this paper.
A Dialogue between Causal and Traditional Representation Learning: Toward Mutual Benefits in a Unified Formulation Unifying Causal Representation Learning with the Invariance Principle
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T05:43:58.761582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a6f96390-9e98-45b4-b570-d7341fda44d1 · inbound
Unsupervised Causal Abstractions Discovery cites this paper.
Unsupervised Causal Abstractions Discovery Unifying Causal Representation Learning with the Invariance Principle
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T20:49:57.346004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.