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Paper Citation Record · LEDGER

Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2404.13686.

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

pith.paper-citation-record.v1
2404.13686 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:32:31.950210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:07.681571Z

Reference resolution

0 of 0 outbound references displayed

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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 b15d7f19-78dc-4a73-b46e-59ace3e2603c · inbound

UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding cites this paper.

UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 43

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unresolved
no resolver link, observed 2026-08-08T19:32:31.950210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:32:31.950210Z digest=sha256:a880a63f4c5ad5d7260f10c155a8857c6410fec6d98eb85d4743938d8fb08803

Observation 07954744-a651-4b21-9045-977109fa8331 · inbound

FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention cites this paper.

FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:25.259375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:25.259375Z digest=sha256:bd19f42519d78ea37b8be5aa504941762c95472795a7d074255bf43f4624c15b

Observation c4be0445-407e-470a-bb2f-4a0f061d8b54 · inbound

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation cites this paper.

Dual-Expert Consistency Model for Efficient and High-Quality Video Generation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 47

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unresolved
no resolver link, observed 2026-08-07T11:14:08.447768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:14:08.447768Z digest=sha256:7f059a1a70a5b387adeba8461f2d03f05efc2b0eeb83361eca5a369410d21a4a

Observation 5d942bf0-6447-4b2c-b3af-a436f06b1ef3 · inbound

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation cites this paper.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:36:12.614805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:36:12.614805Z digest=sha256:8032f666e353f2ab3c7a58456c7f1ad0bbb02be3380e7d506ff6239f3a3251cf

Observation 43271464-f816-413c-8fa3-08e3100a3f34 · inbound

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning cites this paper.

ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T11:32:42.637511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:32:42.637511Z digest=sha256:ab3078f40e34a74956607d987cf8b57590fa2e10c89b21516bc6c691ea8af192

Observation a3f57fec-6af9-4afb-bf20-e96af035ff87 · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:53.977618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.977618Z digest=sha256:73c068b3792402992ed374f864eb416d32c99e4e38b4f6b1b6f8526f358f243f

Observation 9f03cb80-96d8-4bd4-b8ac-d288b2d50aa8 · inbound

Distribution Matching Distillation Meets Reinforcement Learning cites this paper.

Distribution Matching Distillation Meets Reinforcement Learning Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T21:47:20.022789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:47:20.022789Z digest=sha256:323d4d6ae15906e8f05552cbaefeab25b77c5f096e563e790fb88c77a50b116e

Observation e214a253-e061-440d-8477-cbcb9c51816f · inbound

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation cites this paper.

Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:43:11.401727Z

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=2026-05-13T19:38:54.942114Z digest=sha256:ecfafce144f93e660a13a956253ad309ee271c0e3bc757512cb5728380877b8f

Observation 46096a7d-6a6a-4172-97fb-51a81d08372d · inbound

1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation cites this paper.

1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:23:02.598887Z

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=2026-05-13T17:19:49.891090Z digest=sha256:50429ea2267eec5f4bf59b077e966c560a8c42c21160c55da8e0288df00e55d8

Observation d763d51d-84a9-480f-8034-c21d3e5f2db8 · inbound

Reward-Aware Trajectory Shaping for Few-step Visual Generation cites this paper.

Reward-Aware Trajectory Shaping for Few-step Visual Generation Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:45:21.309548Z

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=2026-05-10T11:43:55.499474Z digest=sha256:1f99a8c314aa89c89ca42d01e50887395028997465672da2e21cebc357d7f3df

Observation ff32cacc-e0bf-475e-9bce-97b60c88455e · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:36:05.789344Z

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=2026-05-08T17:25:26.391582Z digest=sha256:4b864bdc4ea5cad67b77f58c1415c4782eff3a69a50c58ab13b672466fdfbc43

Observation 9948742a-8dad-4eac-93ce-7ba6b81d9726 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:19:13.619125Z

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=2026-05-20T23:18:35.390642Z digest=sha256:16a45a7be9e83767ec475d75c1de2b6e2b5f238655850197899bcd11bbc6be7c

Observation 2f431a5c-ec05-4495-a53c-62f02462cc91 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-06-30T23:45:07.683049Z

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=2026-06-30T23:44:10.302520Z digest=sha256:278528af8b4384bd3697da2c4200ebdfbcf0df550d4eb10310a3c53cc8ab0df0

Observation 16ed55b1-3fe3-4fc8-b19f-ef312cc43da4 · inbound

Systematic Optimization of Real-Time Diffusion Model Inference on Apple M3 Ultra cites this paper.

Systematic Optimization of Real-Time Diffusion Model Inference on Apple M3 Ultra Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:00:09.744939Z

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=2026-05-21T12:59:13.952052Z digest=sha256:05f6a05640b1786f5f4a2a358d3406169b605f3c8e1286ed69494733ee371569

Observation cb10a513-e47c-448b-b595-b8c58f21ee97 · inbound

A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms cites this paper.

A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 82

Resolution
unresolved
no resolver link, observed 2026-07-12T03:47:04.311886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T03:47:04.311886Z digest=sha256:1db2c2171f4a69b4647c7fac2c3e8cfb5708fe5da186b8dd0b5c304c3dd13a0e

Observation 18df3e63-b085-49dc-b6a2-60b408d9d962 · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T13:39:00.878827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:39:00.878827Z digest=sha256:c9ea25005954bf82ed24aed5f97c75be7795687f32867dd084714565edb978ce