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Paper Citation Record · LEDGER

FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.10356.

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

pith.paper-citation-record.v1
2410.10356 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:34:58.587576Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T16:59:57.967386Z

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 519e868f-7e1d-4095-a6a6-2a1acb13d0f1 · inbound

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving cites this paper.

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-12T14:32:48.291360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:32:48.291360Z digest=sha256:ef629e079344dc27895ec0dd45cbfa69c4c8b54bb52d504bd1a5e0c13ce26496

Observation 2bd14ada-9722-47bf-a8ab-1dd0402a024b · inbound

GMem: A Modular Approach for Ultra-Efficient Generative Models cites this paper.

GMem: A Modular Approach for Ultra-Efficient Generative Models FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-11T17:42:11.691106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:42:11.691106Z digest=sha256:0a81aa018699b0ccb97d23504b7e7574cd45bcebfd684a55a4db3efa8233c980

Observation 1758c7c4-738c-4b0f-8e77-346c463fd748 · inbound

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models cites this paper.

Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T22:34:14.530591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:34:14.530591Z digest=sha256:84cf4578403eb16f2a01e30da1a0b818445569e00778a124271bcc3dfb1aad24

Observation 6ce50c4f-7d2c-4bec-8e1b-1c5d74f17d04 · inbound

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration cites this paper.

Acquire and then Adapt: Squeezing out Text-to-Image Model for Image Restoration FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-16T11:34:58.587576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:34:58.587576Z digest=sha256:c3511c2cba9ec37ff92044b5e62b4cce2d91e8635c759b70e86726bc81bb76df

Observation b9bcafd8-8fa9-443b-8de4-4132e87f51da · inbound

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas cites this paper.

Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:18:59.416091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:18:59.416091Z digest=sha256:5b4d18a8bd2960d03fb8c846c852df4490675aa44757e1bfb9cc1ec03fdd1832

Observation 01d5d6e5-e09d-49f2-9c22-4ee27fbee4ef · inbound

Decoupling High and Low Frequencies for Faithful Image Generation with Fine Details cites this paper.

Decoupling High and Low Frequencies for Faithful Image Generation with Fine Details FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T05:27:34.345840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:27:34.345840Z digest=sha256:0e19a4b19d7e9e638b2aa1050aba9cfe628c14631b054af48160d961636e8e4e

Observation 961f1249-50dc-4483-99c0-a163a2b97288 · inbound

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

Elucidating Representation Degradation Problem in Diffusion Model Training FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:36:26.586109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-12T04:08:11.110912Z digest=sha256:496d94319558503bbb1dc176d90fdea89c537aac48f1dd6b92f33a791b780d54

Observation 71145cbf-138e-4362-bb5f-bd5b55f768a1 · inbound

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder cites this paper.

IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-07-03T05:37:40.238986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-27T13:10:14.308216Z digest=sha256:3acd30a4ba3c262e8df90729bdf9a0eee31e5bda5dbde3be1c4aec4d6723070e

Observation e0019a56-ce27-43a2-9762-783924a8ae32 · inbound

DiffusionBench: On Holistic Evaluation of Diffusion Transformers cites this paper.

DiffusionBench: On Holistic Evaluation of Diffusion Transformers FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T16:59:57.970129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T00:06:11.951205Z digest=sha256:486ee4c65f012932a55eac8c9f106192694f76063192356daf3dbb952c9bd79e