Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Diffusion Autoencoders are Scalable Image Tokenizers
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.18593.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:47.896319Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T14:28:29.656526Z
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 f9f6a167-692f-43c5-9e9b-258d056fdc24 · inbound
D-AR: Diffusion via Autoregressive Models cites this paper.
D-AR: Diffusion via Autoregressive Models Diffusion Autoencoders are Scalable Image Tokenizers
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:46:47.896319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 918554f6-a36e-4b25-801b-a7567b8d98a5 · inbound
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization cites this paper.
SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization Diffusion Autoencoders are Scalable Image Tokenizers
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:25:33.951411Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5f8e4c3-3d5f-4a0d-a217-7affa712167b · inbound
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.
HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Diffusion Autoencoders are Scalable Image Tokenizers
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:28:29.657972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.