Pith. sign in

Paper Citation Record · LEDGER

Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.16057.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2503.16057 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:17:42.136085Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T13:29:51.548125Z

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 277491ed-0343-46cb-b108-e7c227a182f7 · inbound

UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning cites this paper.

UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T16:17:42.136085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:17:42.136085Z digest=sha256:161bca0bdc42c338961640171b001655fca6ca39802a5c63fe7a0988432ae4dc

Observation e30d2141-e45a-462f-ba1a-237d9c7685cd · inbound

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models cites this paper.

Expert-Data Alignment Governs Generation Quality in Decentralized Diffusion Models Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T05:23:14.814561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:23:14.814561Z digest=sha256:4ed73be16091984856d4d1c842d819af61ff0bff2a0c029af7bffe2386ac38c2

Observation cd34499d-5d81-426e-8d7f-cd0ea06cc675 · 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 Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:51.549608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T05:11:59.761865Z digest=sha256:5e680cbc2a0d262e72aecce51c3d844e01d79ce1dd6bc4033d38df95ff63160d