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Paper Citation Record · LEDGER

EdgeFusion: On-Device Text-to-Image Generation

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2404.11925.

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

pith.paper-citation-record.v1
2404.11925 v1

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 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:32:25.029829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T11:51:20.401490Z

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 97952d59-b721-4ec0-b61e-a7e54fd93d58 · inbound

Adversarial Diffusion Compression for Real-World Image Super-Resolution cites this paper.

Adversarial Diffusion Compression for Real-World Image Super-Resolution EdgeFusion: On-Device Text-to-Image Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T16:32:25.029829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:32:25.029829Z digest=sha256:e6129c9e461875c604d1b0b1bc8a59ba2f4e63fdc084556723a5b5108853a9be

Observation fd99b741-5b9e-4a00-a657-7f2d9658fddf · inbound

Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models cites this paper.

Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models EdgeFusion: On-Device Text-to-Image Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-12T11:20:37.740402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:20:37.740402Z digest=sha256:947b81683fff51fabfa618c73cf5415bb6f17906e0481fd6f7dcb6236ca6b36d

Observation 3b8e0879-e905-45b1-b632-982cf3903938 · inbound

MoViE: Mobile Diffusion for Video Editing cites this paper.

MoViE: Mobile Diffusion for Video Editing EdgeFusion: On-Device Text-to-Image Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T19:34:26.361209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:34:26.361209Z digest=sha256:155819f73e13ebbf107772aaf5ab9c59685e68da3163e3b89160607a2eed158e

Observation ec42c658-159a-4bcb-9ac3-84075ec415a0 · inbound

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training cites this paper.

SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training EdgeFusion: On-Device Text-to-Image Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T16:56:01.575944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:56:01.575944Z digest=sha256:7507021e4bb778ff16f81b91e363e4ca508eecb435bbcd148792ab6586c0ed91

Observation cd48eb5e-6134-4814-8faf-5a2a5c10dc55 · inbound

Contract-Inspired Contest Theory for Controllable Image Generation in Mobile Edge Metaverse cites this paper.

Contract-Inspired Contest Theory for Controllable Image Generation in Mobile Edge Metaverse EdgeFusion: On-Device Text-to-Image Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T20:12:09.613699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:12:09.613699Z digest=sha256:74445dc83ad3de08bbb16d407d86a2c841fdec4aeee4c95c34b7928e254d6080

Observation da626f79-ee59-4c72-ba06-fd2c0ccfb6d5 · inbound

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices cites this paper.

On-device Sora: Enabling Training-Free Diffusion-based Text-to-Video Generation for Mobile Devices EdgeFusion: On-Device Text-to-Image Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T10:46:29.392456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T10:46:29.392456Z digest=sha256:4651a3e26e8751a2585e3a460e6cc2633899a73a5aef4fcd64f884b3af731c0e

Observation 0f5084f2-dba9-43d3-879e-b5599182f536 · inbound

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion cites this paper.

Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion EdgeFusion: On-Device Text-to-Image Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T04:36:13.368190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:36:13.368190Z digest=sha256:55e6fe66fffaced4c44245039ad2cdd52a29c57069e4a11910b816d87b28280a

Observation d57f851d-5b81-479b-a8de-7ba20684e5eb · inbound

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution cites this paper.

Towards Redundancy Reduction in Diffusion Models for Efficient Video Super-Resolution EdgeFusion: On-Device Text-to-Image Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:51:20.404525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T11:47:22.725217Z digest=sha256:0416f80584208f465b900ebc27852b4bf2edd4cd072f561e61bdb78438430292

Observation fec04d08-9a6b-4289-a498-0e4ef6b55ca2 · 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 EdgeFusion: On-Device Text-to-Image Generation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T10:56:11.764930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:56:11.764930Z digest=sha256:237fd6d443b1cd590190f1c1b4cad195058f3fc2f6c5783430b9ee5a027ab7de