Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Testing Relational Understanding in Text-Guided Image Generation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2208.00005.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:36:46.391081Z
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
39
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 934e4f23-96d2-4aa8-8874-ef9f744c6898 · inbound
Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models cites this paper.
Relations, Negations, and Numbers: Looking for Logic in Generative Text-to-Image Models Testing Relational Understanding in Text-Guided Image Generation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:36:46.391081Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee118021-c7e4-4565-a803-7b31a4769b29 · inbound
A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders cites this paper.
A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders Testing Relational Understanding in Text-Guided Image Generation
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T16:41:47.578095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 189a632c-8786-4c1f-b3b5-60eb22324d4c · inbound
The two clocks and the innovation window: When and how generative models learn rules cites this paper.
The two clocks and the innovation window: When and how generative models learn rules Testing Relational Understanding in Text-Guided Image Generation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:16:18.064800Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 530cb945-3e10-484d-81f8-29ba35b9aa7b · inbound
Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds cites this paper.
Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds Testing Relational Understanding in Text-Guided Image Generation
Reference 59
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:09:29.845782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 93397e00-5aaa-4e21-a254-a425df26ab11 · inbound
Where did the ambiguity go? Examining how multimodal models interpret polysemous words cites this paper.
Where did the ambiguity go? Examining how multimodal models interpret polysemous words Testing Relational Understanding in Text-Guided Image Generation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T04:16:43.983809Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.