Paper Citation Record · LEDGER

AMO Sampler: Enhancing Text Rendering with Overshooting

As of 15 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 2026-08-15T06:32:42.880941+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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites Imagen 3.

AMO Sampler: Enhancing Text Rendering with Overshooting Imagen 3

Reference 2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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 2026-08-15T06:32:42.880941+00:00.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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 2026-08-15T06:32:42.880941+00:00.

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.

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.

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.

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 2026-08-15T06:32:42.880941+00:00.

Observation e5ef2066-d089-4ae2-82b7-75b7fee23807 · inbound

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

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T21:26:59.346391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.