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Paper Citation Record · LEDGER

AMO Sampler: Enhancing Text Rendering with Overshooting

As of 13 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 2 inbound Pith citation observations for arXiv:2411.19415.

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

pith.paper-citation-record.v1
2411.19415 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:17:34.104021Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:27:37.476628Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:27:40.159007Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy15
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fb81aa7a-0823-4b1a-bc8d-75102281a6af · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

AMO Sampler: Enhancing Text Rendering with Overshooting Building Normalizing Flows with Stochastic Interpolants

Reference 1

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unresolved
no resolver link, observed 2026-08-12T10:17:33.936819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:33.936819Z digest=sha256:d2320e88094c9606aab09d0b17932842d6d8c2b99010af72a268ff4e340dc1a9

Observation 696a10ab-2d95-4cba-be6a-b71cb58afd5d · outbound

This paper cites Imagen 3.

AMO Sampler: Enhancing Text Rendering with Overshooting Imagen 3

Reference 2

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no resolver link, observed 2026-08-12T10:17:33.942725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:33.942725Z digest=sha256:094019612cf33a8309fb8a57f4ff18f62a4f22638dff2e02b772e35d3d10793c

Observation 1d72c0dc-451a-44ae-8c87-9307c08352c8 · outbound

This paper cites Improving image generation with better captions.

AMO Sampler: Enhancing Text Rendering with Overshooting Improving image generation with better captions

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.730137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.947727Z digest=sha256:3ca0ea4c8867ed710590cd8b1c5c9f7e8df8af0bd9f8aa6f49389a786f5f26a6

Observation e1e72df3-41b0-4e0d-9a51-d635cffe381b · outbound

This paper cites TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering.

AMO Sampler: Enhancing Text Rendering with Overshooting TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:33.953650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:33.953650Z digest=sha256:c66a1a2587c047b261cd6cf8152ab36741d9b8b4575f42570f50be2dacb6d9fa

Observation ab37ac83-0284-49f1-a32d-75e58fb19ab8 · outbound

This paper cites Textdiffuser: Diffusion models as text painters.

AMO Sampler: Enhancing Text Rendering with Overshooting Textdiffuser: Diffusion models as text painters

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.711608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.958891Z digest=sha256:a23daa7c4307bfa8d0a2c4495b4b76e561cce4a7ae7de95eb5b686ff694994e3

Observation 7639c227-945d-4e70-85fe-8acebeeb596c · outbound

This paper cites Diffusion models beat gans on image synthesis.

AMO Sampler: Enhancing Text Rendering with Overshooting Diffusion models beat gans on image synthesis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.696353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.964175Z digest=sha256:62f22216ccc00e3944fb4d96b2b945c010878b54091b5c37abffcfdf0ff9a51b

Observation d32d858e-5a4b-4c7e-bb59-ffb64a97dab6 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

AMO Sampler: Enhancing Text Rendering with Overshooting Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.680810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.969561Z digest=sha256:676395e02dab360e735ee716d677e5221e2e958effed88e71cff3f4043861167

Observation 035fd8d9-2aec-4e2a-845c-63cba0708e8c · outbound

This paper cites Aura Flow Pipeline Documentation , 2023.

AMO Sampler: Enhancing Text Rendering with Overshooting Aura Flow Pipeline Documentation , 2023

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.664566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.974159Z digest=sha256:fb6fd4e13cdbcb9bb88b6c66418b9a1f6c228b6fc16a8314d4490c9c1d303a91

Observation e9942df4-e8a7-4b33-a888-35e229ff0a0b · outbound

This paper cites FLUX that Plays Music.

AMO Sampler: Enhancing Text Rendering with Overshooting FLUX that Plays Music

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:33.979309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:33.979309Z digest=sha256:59fa1e55c51b7f93d463e3b6d54e580e2938ff7c4f59cf53ab93b6f78aad5c94

Observation 6ef021f3-7923-418a-88e5-b08e2632c576 · outbound

This paper cites Iterative α-(de) blending: A minimalist deterministic diffusion model.

AMO Sampler: Enhancing Text Rendering with Overshooting Iterative α-(de) blending: A minimalist deterministic diffusion model

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.648982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.984136Z digest=sha256:74c066569c1c8ddaeb394f14aec52ef2363dc019f3783e180ebeab88741e59d8

Observation 7900a59a-90ac-42a0-becd-7fb68f0d5221 · outbound

This paper cites Classifier-Free Diffusion Guidance.

AMO Sampler: Enhancing Text Rendering with Overshooting Classifier-Free Diffusion Guidance

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:33.988433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:33.988433Z digest=sha256:69d8b479025e71bdc0445389b32e7b2ea3e03b2372cd90df2bda87641f48d4ce

Observation 7bbced88-d85e-40b1-b387-9248d7cd6e3b · outbound

This paper cites Denoising diffu- sion probabilistic models.

AMO Sampler: Enhancing Text Rendering with Overshooting Denoising diffu- sion probabilistic models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:33.994331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:33.994331Z digest=sha256:d00fff852e41002542f1b24ff2b925473aaea6b4b5959c52df78c5436c24a9e4

Observation 47cd9c4d-771d-46d4-ad39-7f6f427d2bfb · outbound

This paper cites Video diffusion models.

AMO Sampler: Enhancing Text Rendering with Overshooting Video diffusion models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.622923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:33.999039Z digest=sha256:b5470f6eb96a488adac1e75d087139147e0ee58c3a6ce6d08250d5b4ebbfc78d

Observation 35adbcdd-f374-4fb5-a0a4-1d2fee33ed6a · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

AMO Sampler: Enhancing Text Rendering with Overshooting Elucidating the design space of diffusion-based generative models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.608561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.003580Z digest=sha256:468069283091b839ba93ec6c84000456ea022ec8f3c00093801fd557add55b55

Observation ba4c3bae-7872-4756-b7e4-2d8885b40b5f · outbound

This paper cites an unresolved cited work.

AMO Sampler: Enhancing Text Rendering with Overshooting Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:17:34.592428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.007984Z digest=sha256:65e31074607d4cf397f30cd75c288662e297d2a90217bec7aa639f1fc60e7b67

Observation 971f6574-3a08-41ee-91f7-878f66acd12b · outbound

This paper cites V oicebox: Text-guided multilin- gual universal speech generation at scale.

AMO Sampler: Enhancing Text Rendering with Overshooting V oicebox: Text-guided multilin- gual universal speech generation at scale

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.575565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.013087Z digest=sha256:36e3d6b7dbd137e9a640cdf08e1796a44db6143015442c9125d09b69e986aa78

Observation 52c7f8e7-4070-4acd-844e-2935c612d369 · outbound

This paper cites Mask textspotter v3: Segmentation proposal network for robust scene text spotting.

AMO Sampler: Enhancing Text Rendering with Overshooting Mask textspotter v3: Segmentation proposal network for robust scene text spotting

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.560264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.018311Z digest=sha256:2e3a899f8a495b525d8bba9072d32321b15d8c8ba55220dae970dfd222ad9815

Observation 73a2dd88-7252-48ca-bf8b-fc5d79c21b31 · outbound

This paper cites Flow Matching for Generative Modeling.

AMO Sampler: Enhancing Text Rendering with Overshooting Flow Matching for Generative Modeling

Reference 18

Resolution
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no resolver link, observed 2026-08-12T10:17:34.022799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.022799Z digest=sha256:1bfaa6ffc999430ebadb8af889baa0c6dfaa1206c00d65929e763aeb79da96c0

Observation 40838fe0-5639-4729-a647-ecb554e3edd1 · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

AMO Sampler: Enhancing Text Rendering with Overshooting Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.027610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.027610Z digest=sha256:e744e728319764204074bf03b86b86dd67f9923d2908109900b6207cc9c907c3

Observation c8b18bda-c404-4ffa-96dc-2c862ce99365 · outbound

This paper cites Character-Aware Models Improve Visual Text Rendering.

AMO Sampler: Enhancing Text Rendering with Overshooting Character-Aware Models Improve Visual Text Rendering

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.032650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.032650Z digest=sha256:bde81d4690d8e9df7411372664548138ef9f7c80e16d378aea34c5bd1ca26c48

Observation 7e45e865-a98e-444c-852a-adca2f0f1d23 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

AMO Sampler: Enhancing Text Rendering with Overshooting Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.545437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.037615Z digest=sha256:ddddababe25505f2c60e7ceee9af0a548f94f4bcb6b0b51814afc9908c00e090

Observation 36f7481f-a7c3-4064-a162-fabf484a9655 · outbound

This paper cites Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering.

AMO Sampler: Enhancing Text Rendering with Overshooting Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.042034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.042034Z digest=sha256:2a3519a7e6f8ca54cff6770ca585be5e2a1447bccefa8639ee69760bd768a03d

Observation 263d79f8-5ce5-4f4f-8847-d9731a0adfbd · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

AMO Sampler: Enhancing Text Rendering with Overshooting Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.530418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.046766Z digest=sha256:38ff081cb8c5b25c80a74ce459821165132436094ccba373cdc65c0724ffe58f

Observation d814712a-ba8c-4853-b3a3-348be6c14d58 · outbound

This paper cites GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation.

AMO Sampler: Enhancing Text Rendering with Overshooting GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.051051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.051051Z digest=sha256:5233659c2beb533e3c404ab4bac4fe485207fb4e2099949983e4c07d011b6f22

Observation d3a88c8f-1f9a-4fe6-aadb-c557724a9955 · outbound

This paper cites On distillation of guided diffusion models.

AMO Sampler: Enhancing Text Rendering with Overshooting On distillation of guided diffusion models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.515631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.055931Z digest=sha256:c0c6b04891a777d26efea09a36da6230cc5b40885f004eb3cabff56c04c2dbd5

Observation 1cb184cb-3546-4163-af61-6b85105269f5 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

AMO Sampler: Enhancing Text Rendering with Overshooting SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.061066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.061066Z digest=sha256:7aa9fb2903cf2af25d90724758ead3f9d378d12c1f986151098c8b19b8339dc5

Observation e7b413a2-3e53-4e5f-bdb9-81361592ee01 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

AMO Sampler: Enhancing Text Rendering with Overshooting Movie Gen: A Cast of Media Foundation Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.066326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.066326Z digest=sha256:1622c2f18ae55dde17499d255c71537e5e0a9cf90704a96e267470116ec89aad

Observation 8ed67eb0-e9f8-4161-97d3-1439b616d9ce · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

AMO Sampler: Enhancing Text Rendering with Overshooting Learning transferable visual models from natural language supervi- sion

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.071623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.071623Z digest=sha256:bf43a4af4b1a7436b8985088c68413049a456f3dcbf26686b14ea4b75cc62681

Observation a8180903-b44d-4f14-9de6-e3fd6b86285e · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

AMO Sampler: Enhancing Text Rendering with Overshooting Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.076131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.076131Z digest=sha256:523d74ba8932382c65cf3e61a817ea227208aee6167809e2fcd4c2eaaac85007

Observation f8380506-ed52-4e68-a6d4-ccddcd3f5c3b · outbound

This paper cites Pho- torealistic text-to-image diffusion models with deep language understanding.

AMO Sampler: Enhancing Text Rendering with Overshooting Pho- torealistic text-to-image diffusion models with deep language understanding

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.492140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.080625Z digest=sha256:563b9744d2bc39990b5b1ab73cdadd56dfd5cd9f7e043e74e21683f733b8ef90

Observation 9de982e2-0791-4539-833a-52a962435b9f · outbound

This paper cites Denoising Diffusion Implicit Models.

AMO Sampler: Enhancing Text Rendering with Overshooting Denoising Diffusion Implicit Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.085078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.085078Z digest=sha256:6a6f19401ce70e73c97878494a32649f835d7c9755d6afaea46a0131bd9cccee

Observation fc2affe7-f2ab-4d2b-afae-db427cbf65ff · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

AMO Sampler: Enhancing Text Rendering with Overshooting Generative modeling by estimating gradients of the data distribution

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:17:34.476954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T10:17:34.089702Z digest=sha256:393e705616cc9bd555b449ca98aa274ab95c9347c742f7bcd7c6a0da64e7f593

Observation a9335177-d61d-4aee-914c-8500fee55fda · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

AMO Sampler: Enhancing Text Rendering with Overshooting Score-Based Generative Modeling through Stochastic Differential Equations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.094380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.094380Z digest=sha256:66a7cfa3a409e5852e1b11883d05902dd603f24d9bd0126917ebd1fce74bd076

Observation 4150cdac-bd22-44a1-a980-77cafec3d1e7 · outbound

This paper cites AnyText: Multilingual Visual Text Generation And Editing.

AMO Sampler: Enhancing Text Rendering with Overshooting AnyText: Multilingual Visual Text Generation And Editing

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.099222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.099222Z digest=sha256:983a6707d7f0581700254b445fc7ec3d6f201f4cf9d7e6fd2ab24348987aceb1

Observation 129f712a-b4bc-4503-a3f0-bb9e8765ee77 · outbound

This paper cites UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models.

AMO Sampler: Enhancing Text Rendering with Overshooting UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T10:17:34.104021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:17:34.104021Z digest=sha256:587571315c740227b02a95171d63094d88193eb2a764dc0c0fa5e7ae2ab5be43

Pith citing papers

Observation 41dcc4fd-8083-49cb-b17e-e8b3d41755c6 · inbound

DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers cites this paper.

DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers AMO Sampler: Enhancing Text Rendering with Overshooting

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:27:40.162486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Momentum Guidance: Plug-and-Play Guidance for Flow Models cites this paper.

Momentum Guidance: Plug-and-Play Guidance for Flow Models AMO Sampler: Enhancing Text Rendering with Overshooting

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