Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.02098.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T05:23:14.304167Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:29:51.545573Z
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 0908f43c-c5cb-4d8f-b0c3-76dde563e2ef · inbound
Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models cites this paper.
Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T05:23:14.304167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 103e88c9-c543-4ec7-b54c-8cee052ee825 · inbound
Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models cites this paper.
Complete-muE: Optimal Hyperparameter Transfer and Scaling for MoE Models EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:35:20.983503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b022fbe2-3c1b-41b1-9dc1-0860a0622533 · inbound
FocusDiT: Masking Queries in Diffusion Transformers for Fine-grained Image Generation cites this paper.
FocusDiT: Masking Queries in Diffusion Transformers for Fine-grained Image Generation EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T22:26:17.427908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a35d8297-49ea-4081-ab79-bcb0148e5747 · inbound
MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts cites this paper.
MoECodec: Image Compression for joint human and machine perception via Mixture-of-Experts EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Reference 53
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T07:39:38.984881Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f954c221-c134-4292-b409-d88e53a8213a · inbound
Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE cites this paper.
Focusing on What Matters: Saliency-Harnessing Accurate Routing for Diffusion MoE EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing
Reference 31
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T13:29:51.546995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.