Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.04377.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T18:10:53.088435Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:26:27.600677Z
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 aa912837-7d5e-44c9-a4ad-189f99102a26 · inbound
High-Order Matching for One-Step Shortcut Diffusion Models cites this paper.
High-Order Matching for One-Step Shortcut Diffusion Models On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:10:53.088435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bbd61db-9cfe-4124-aedd-fae90abb8a3f · inbound
Universal Approximation of Visual Autoregressive Transformers cites this paper.
Universal Approximation of Visual Autoregressive Transformers On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T16:39:14.192253Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 452bb941-a780-4011-bdcf-19c01c95c82a · inbound
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.
Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:20:15.376383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4c53871-a608-4c6e-a2b8-531d646177a5 · inbound
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation cites this paper.
T2VWorldBench: A Benchmark for Evaluating World Knowledge in Text-to-Video Generation On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:43:27.628258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 372befcb-6b67-4192-ab97-fad09255e74c · inbound
Depth Adaptive Efficient Visual Autoregressive Modeling cites this paper.
Depth Adaptive Efficient Visual Autoregressive Modeling On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:26:27.602083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.