Paper Citation Record · LEDGER

LinFusion: 1 GPU, 1 Minute, 16K Image

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.02097.

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

pith.paper-citation-record.v1
2409.02097 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:07:38.320756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:13:48.401465Z

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 175fa8c8-19da-46bc-96bb-62737264b31c · inbound

Pushing the Boundaries of State Space Models for Image and Video Generation cites this paper.

Pushing the Boundaries of State Space Models for Image and Video Generation LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 755

Resolution: unresolved; no resolver link, observed 2026-08-09T17:07:38.320756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f81108-c6cd-481c-b297-ffa44504f9ba · inbound

Long-Context State-Space Video World Models cites this paper.

Long-Context State-Space Video World Models LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:17.907050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d98c8544-43ef-4d71-ba2b-244e82ba604d · inbound

Video World Models with Long-term Spatial Memory cites this paper.

Video World Models with Long-term Spatial Memory LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:39.512049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd191463-0216-4f84-963f-05e85a2ca15b · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:04.695484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19a70a53-fd62-493b-b926-1a63816c9bf1 · inbound

Consistent and Controllable Image Animation with Motion Linear Diffusion Transformers cites this paper.

Consistent and Controllable Image Animation with Motion Linear Diffusion Transformers LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-05T22:21:05.627730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bbafdf3-6dff-4da1-ac68-89a60b371c21 · inbound

UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention cites this paper.

UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T09:20:06.875247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3924b6fe-0d69-44da-9a0e-4d67809dc8fa · inbound

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices cites this paper.

SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T10:56:13.971631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4147bfd2-a1d1-43ee-a93c-b309a0d6b2b8 · inbound

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing cites this paper.

HierEdit: Region-Aware Hierarchical Diffusion for Efficient High-Resolution Editing LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:43:22.561733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 15d1ca9e-256c-4ec1-9c1d-c0a458e771e5 · inbound

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset cites this paper.

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:23:03.904990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 626281fc-71c4-4dd3-8924-4904de66788d · inbound

JetViT: Efficient High-Resolution Vision Transformer with Post-Training Attention Search cites this paper.

JetViT: Efficient High-Resolution Vision Transformer with Post-Training Attention Search LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:13:48.402865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38cd8e5f-3b5d-40f3-8dd3-02c8dd248124 · inbound

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders cites this paper.

Scaling Parallel Sequence Models to Foundation-Scale Vision Encoders LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 123

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:32:35.228393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.