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Paper Citation Record · LEDGER

DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.18428.

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

pith.paper-citation-record.v1
2405.18428 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:41.559892Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:26:17.431962Z

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 2fed9186-1acc-41b4-8871-230fa851ee17 · inbound

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers cites this paper.

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T00:56:50.050772Z

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.

source=pdf_text observed=2026-05-15T00:56:50.009149Z digest=sha256:52e3051a50f1920b13bc116aac5f0a166d90f6656bf682d19c7d51ba35441352

Observation 5b9c3cd3-a861-4d28-b8c7-d445db19c7e4 · inbound

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training cites this paper.

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:00:41.559892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:00:41.559892Z digest=sha256:b9452d300062cd4f71ce1ac554a8342a9a379e9905136aa133bcfc6f41dd3c72

Observation a00c37ea-a862-430f-aba2-2e96982f5e46 · inbound

Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention cites this paper.

Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attention DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:42.800364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:50:42.800364Z digest=sha256:5b20a2662918c8e8c4885b3d41f6b3bd15fcbddea71deb0c2744e5fa365c1cb3

Observation 6d3c4f4e-e987-4af4-a5db-a2c5a4471d8f · inbound

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers cites this paper.

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 51

Resolution
malformed identifier
no resolver link, observed 2026-08-07T11:15:18.581949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:18.581949Z digest=sha256:8334d7c9878e26235921f843d70dfdee9f20767871a48654340159a53b3c602a

Observation 466d64f6-096f-462d-a794-c8648a67cf60 · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:03.667258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:03.667258Z digest=sha256:391affe976f9eee142f288eaa772996ec63457f4698913736469cf45f2e7fe72

Observation 79275d62-3ddb-431c-8f58-a2206258d72e · inbound

ENA: Efficient N-dimensional Attention cites this paper.

ENA: Efficient N-dimensional Attention DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T19:49:11.774586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:49:11.774586Z digest=sha256:9b6c927d223884facf56a294be4407ac21efc17d20d24b886dc8545a47fb6516

Observation 3e6b6a53-6c2f-4025-88ce-f730ac9e56d9 · inbound

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices cites this paper.

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:03:43.761168Z

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.

source=arxiv_source observed=2026-05-20T20:00:27.987481Z digest=sha256:f167286f819cacf6cb94f53782915b2b0f0123880cb5f35e5de6aefff34a275b

Observation fd77fb7b-c405-4646-8dad-4d79a684374b · 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 DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:26:17.433431Z

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.

source=pdf_text observed=2026-06-28T15:25:40.039365Z digest=sha256:0cf9e83098e77e93b5c3fed13cb6d8981c41e9ac6d769a7d4faaa4444539868a