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Paper Citation Record · LEDGER

Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.07946.

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

pith.paper-citation-record.v1
2404.07946 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:41:34.084031Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T18:04:00.595239Z

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 07ebcd71-a7df-4ab8-b74e-2e2b5cc3d0a2 · inbound

Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states cites this paper.

Disentanglement in T-space for Faster and Distributed Training of Diffusion Models with Fewer Latent-states Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T18:41:34.084031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:41:34.084031Z digest=sha256:98d7f9aa4152ee7640227ee6e9aeb713431d164cd7e2f056df8ee8a6d2033417

Observation 23953eb8-2e3d-4181-9b0c-7da793a9a039 · inbound

UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios cites this paper.

UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-03T20:52:39.888443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:52:39.888443Z digest=sha256:9a9a6c3805f84a8001f53c808daac5b09d3bcc4ef5687acd7d49476581107ac8

Observation a6e92d10-263e-465c-a3e0-855931b7f86b · inbound

Elucidating Representation Degradation Problem in Diffusion Model Training cites this paper.

Elucidating Representation Degradation Problem in Diffusion Model Training Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:26.697332Z

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.

source=pdf_text observed=2026-05-12T04:08:11.110912Z digest=sha256:d672e84676d2e827cb39810fd2747acb7e39ff2af79e5dd5e271f69c4b320b16

Observation b5d65c27-f2fa-448c-a4bb-afac0d8e655d · inbound

Steering Optimisation Trajectories in Diffusion Representation Learning cites this paper.

Steering Optimisation Trajectories in Diffusion Representation Learning Towards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon

Reference 87

Resolution
verified exact
local_arxiv, observed 2026-07-07T18:04:00.597942Z

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.

source=pdf_text observed=2026-07-07T17:54:09.140773Z digest=sha256:62e73b7287356f8127187ba21ed83e89e44d49de0eccf7b1a98662db06e43042