Paper Citation Record · LEDGER

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis

As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2507.00992.

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

pith.paper-citation-record.v1
2507.00992 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

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measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T06:38:04.459129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T10:16:28.883932Z

Reference resolution

55 of 55 outbound references displayed

verified exact2
verified fuzzy25
unresolved28
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28ec29b1-c70a-43cf-ba84-567cdb546803 · outbound

This paper cites an unresolved cited work.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:07:45.517671Z

Source-reported events for the cited work

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Observation 9257fe4e-4b10-4ca9-a301-6a6ce1b7d706 · outbound

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

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:43.882932Z

Source-reported events for the cited work

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Observation 7c0a2b13-de15-4e71-8cfe-7a29ad32aae7 · outbound

This paper cites TextDiffuser: Diffusion Models as Text Painters.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis TextDiffuser: Diffusion Models as Text Painters

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:43.890731Z

Source-reported events for the cited work

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Observation 9a37a80c-e056-447c-9b0c-5066d3d3d3c5 · outbound

This paper cites Control3d: Towards controllable text-to-3d generation,.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Control3d: Towards controllable text-to-3d generation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.490375Z

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Observation 32394b3f-a65e-4967-b6c0-236223cdc334 · outbound

This paper cites Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:43.901697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 519f8f0f-4074-489d-83ea-7cf3c4ee0af7 · outbound

This paper cites ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:07:44.729047Z

Source-reported events for the cited work

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Observation c0ba18f1-51ae-4fce-8bc3-1945170f98a7 · outbound

This paper cites Scaling rec- tified flow transformers for high-resolution image synthesis.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Scaling rec- tified flow transformers for high-resolution image synthesis

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.469315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c01146fd-6b7c-4f0f-8053-4ef61ae18e9c · outbound

This paper cites Layoutgpt: Compositional visual plan- ning and generation with large language models, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Layoutgpt: Compositional visual plan- ning and generation with large language models, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.451813Z

Source-reported events for the cited work

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Observation b2e9c88f-b1d2-4b29-8ee5-2372cbb9e861 · outbound

This paper cites Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:07:44.697290Z

Source-reported events for the cited work

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Observation 74d48cac-46bf-4cb1-ad40-38e5519f9540 · outbound

This paper cites En- hancing logits distillation with plug&play kendall’s τ rank- ing loss, 2025.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis En- hancing logits distillation with plug&play kendall’s τ rank- ing loss, 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.433127Z

Source-reported events for the cited work

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Observation e79461d0-b430-49fa-aadf-1610f1d3fe7c · outbound

This paper cites Animate anyone: Consistent and controllable image-to-video synthesis for character animation.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Animate anyone: Consistent and controllable image-to-video synthesis for character animation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.414838Z

Source-reported events for the cited work

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Observation b8724014-6f75-43f2-a924-902a369832bc · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:43.947462Z

Source-reported events for the cited work

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Observation c98c904c-6bbe-4a3a-9884-f37cc9562b90 · outbound

This paper cites Improving diffusion models for scene text editing with dual encoders,.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Improving diffusion models for scene text editing with dual encoders,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:43.954466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2dd28e5-e48b-42b9-a033-9524c67e998d · outbound

This paper cites Kingma and Max Welling.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Kingma and Max Welling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.379114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29d80fbc-68d5-41e4-97e4-16b8dd01efcc · outbound

This paper cites Segment Anything.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Segment Anything

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:43.970072Z

Source-reported events for the cited work

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Observation 474cd821-cf88-4c2f-b146-013174b5bfa2 · outbound

This paper cites an unresolved cited work.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:07:45.358244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b98c08c8-4137-4bc3-8dbb-bf80d5faa927 · outbound

This paper cites Layoutprompter: Awaken the design ability of large language models, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Layoutprompter: Awaken the design ability of large language models, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.341179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2592a445-96df-4523-9056-f0870bf9d149 · outbound

This paper cites an unresolved cited work.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:07:45.317609Z

Source-reported events for the cited work

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Observation 5658022d-f97b-41f3-ab5b-a3adc092bf00 · outbound

This paper cites Character-aware models improve visual text rendering.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Character-aware models improve visual text rendering

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.292971Z

Source-reported events for the cited work

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Observation 64e623d4-63af-4fe0-8dd8-6a3b972785fa · outbound

This paper cites Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Glyph-ByT5: A Customized Text Encoder for Accurate Visual Text Rendering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.000625Z

Source-reported events for the cited work

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Observation 830d693d-71df-4dbe-b1a3-d86f52c1bad1 · outbound

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

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Glyph-ByT5-v2: A Strong Aesthetic Baseline for Accurate Multilingual Visual Text Rendering

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.007905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cdbd8b2-a75e-4af2-8d9c-623fc6db15bf · outbound

This paper cites Decoupled weight decay regularization, 2019.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Decoupled weight decay regularization, 2019

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.014070Z

Source-reported events for the cited work

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Observation ac20871a-deaa-4b07-96a9-49217aa8085f · outbound

This paper cites Glyphdraw2: Automatic generation of complex glyph posters with diffusion models and large language models.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Glyphdraw2: Automatic generation of complex glyph posters with diffusion models and large language models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.261746Z

Source-reported events for the cited work

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Observation 72c2d6e6-aea4-4bf1-b95d-13b7768a6f87 · outbound

This paper cites Chargen: High accurate character- level visual text generation model with multimodal encoder,.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Chargen: High accurate character- level visual text generation model with multimodal encoder,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.242791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15d08a01-66e1-4976-938c-a646889ebfcf · outbound

This paper cites Follow-your-emoji: Fine-controllable and expressive freestyle portrait animation.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Follow-your-emoji: Fine-controllable and expressive freestyle portrait animation

Reference 25

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Source-reported events for the cited work

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Observation 759e8097-c38f-4a1d-8da3-a3cace8e61e3 · outbound

This paper cites Follow-Your-Creation: Empowering 4D Creation through Video Inpainting.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Follow-Your-Creation: Empowering 4D Creation through Video Inpainting

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.034191Z

Source-reported events for the cited work

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Observation e1d060c2-1f1f-4935-8c1d-cb2df859a355 · outbound

This paper cites Follow-your-click: Open-domain regional image animation via motion prompts.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Follow-your-click: Open-domain regional image animation via motion prompts

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.039407Z

Source-reported events for the cited work

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Observation 95cc10a5-dbfe-462d-87aa-ba7b9e243a1a · outbound

This paper cites Follow-your-motion: Video motion transfer via efficient spatial-temporal decoupled finetuning.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Follow-your-motion: Video motion transfer via efficient spatial-temporal decoupled finetuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.046024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c6a035-d149-40c5-9571-d5e7e9412d20 · outbound

This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.051530Z

Source-reported events for the cited work

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Observation f7257145-48d7-4055-99cc-c9c9e2be3c24 · outbound

This paper cites an unresolved cited work.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:07:45.188706Z

Source-reported events for the cited work

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Observation eca7f108-8b6a-4260-ab83-dbb222952ac5 · outbound

This paper cites Pp-ocrv4.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Pp-ocrv4

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.170912Z

Source-reported events for the cited work

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Observation 5e2dcd64-21a8-4ab4-91c3-32fe4b885b28 · outbound

This paper cites Customtext: Customized tex- tual image generation using diffusion models, 2024.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Customtext: Customized tex- tual image generation using diffusion models, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.151663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c00299d2-de25-4147-8e5a-b7a6fded0ce6 · outbound

This paper cites Scalable diffusion models with transformers, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Scalable diffusion models with transformers, 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.134504Z

Source-reported events for the cited work

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Observation f1d565d6-219c-41ed-b286-b83687af698d · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.079729Z

Source-reported events for the cited work

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Observation baf90487-c830-4b09-8db0-cf0c9f4a32be · outbound

This paper cites Gsrender: Dedupli- cated occupancy prediction via weakly supervised 3d gaus- sian splatting, 2024.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Gsrender: Dedupli- cated occupancy prediction via weakly supervised 3d gaus- sian splatting, 2024

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.117661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3a1ba1c1-0ed4-4f34-a40c-12f8709cf312 · outbound

This paper cites Llama: Open and efficient foundation lan- guage models, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Llama: Open and efficient foundation lan- guage models, 2023

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.092479Z

Source-reported events for the cited work

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Observation e2f123c0-3ec0-4c37-9432-779ed9a3975b · outbound

This paper cites Llama 2: Open foundation and fine- tuned chat models, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Llama 2: Open foundation and fine- tuned chat models, 2023

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.085294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f24461fc-4c95-4b2d-bbe4-d58f9451e0ba · outbound

This paper cites Anytext: Multilingual visual text gener- ation and editing.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Anytext: Multilingual visual text gener- ation and editing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.063489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3557ce56-9f8c-4c0f-8c73-8feb98e0b5ea · outbound

This paper cites Anytext2: Vi- sual text generation and editing with customizable attributes,.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Anytext2: Vi- sual text generation and editing with customizable attributes,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.117265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dafd02e2-9225-47b9-aaea-76fd515de825 · outbound

This paper cites Rectified diffusion: Straightness is not your need in rectified flow, 2024.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Rectified diffusion: Straightness is not your need in rectified flow, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:45.024497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f8a01ebb-951d-4d13-b4ea-61ecd62c6ce7 · outbound

This paper cites Perceive, understand and restore: Real-world image super- resolution with autoregressive multimodal generative mod- els, 2025.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Perceive, understand and restore: Real-world image super- resolution with autoregressive multimodal generative mod- els, 2025

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.129443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 522060b4-323c-494b-873b-20e3b2127e82 · outbound

This paper cites Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.134485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe25d4dc-4367-4c39-93ab-3b1758a6d06d · outbound

This paper cites Bts: a bi-lingual benchmark for text segmentation in the wild.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Bts: a bi-lingual benchmark for text segmentation in the wild

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.987704Z

Source-reported events for the cited work

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Observation 5abc69fc-fd2d-4307-aa5a-84377c948c3f · outbound

This paper cites ChartBench: A Benchmark for Complex Visual Reasoning in Charts.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis ChartBench: A Benchmark for Complex Visual Reasoning in Charts

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.147943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c31202c-0975-4b26-8f88-d1509db64f49 · outbound

This paper cites Chartmoe: Mixture of di- versely aligned expert connector for chart understanding.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Chartmoe: Mixture of di- versely aligned expert connector for chart understanding

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.964337Z

Source-reported events for the cited work

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Observation 32bc8583-9f43-4e1a-8d30-0b3a2ede3a12 · outbound

This paper cites GlyphControl: Glyph Conditional Control for Visual Text Generation.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis GlyphControl: Glyph Conditional Control for Visual Text Generation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.162209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7fb9823-60f4-421d-af5d-afcb3b9cc4ff · outbound

This paper cites Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Ip- adapter: Text compatible image prompt adapter for text-to- image diffusion models

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.945489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e89e5119-c991-4136-b5f7-70b5e9781984 · outbound

This paper cites Hi-sam: Marrying segment anything model for hierarchical text segmentation.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Hi-sam: Marrying segment anything model for hierarchical text segmentation

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.923547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aad58259-1dea-467c-a0de-cd284818e564 · outbound

This paper cites Artist: Improving the generation of text-rich images with disentan- gled diffusion models and large language models, 2024.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Artist: Improving the generation of text-rich images with disentan- gled diffusion models and large language models, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.898659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c5e97818-cffd-4158-8687-a9bcc2c1bd33 · outbound

This paper cites Adding Conditional Control to Text-to-Image Diffusion Models.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Adding Conditional Control to Text-to-Image Diffusion Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.186728Z

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Observation 15123d1d-dc64-4163-9353-9272287b781d · outbound

This paper cites Brush your text: Synthesize any scene text on im- ages via diffusion model, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Brush your text: Synthesize any scene text on im- ages via diffusion model, 2023

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.875641Z

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Observation e013010e-7b22-478a-9dac-5799932759f4 · outbound

This paper cites Metaxas, and Praveen Krishnan.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Metaxas, and Praveen Krishnan

Reference 52

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Observation 4d545e60-7feb-462e-aaf1-9755832c7f90 · outbound

This paper cites Udifftext: A unified frame- work for high-quality text synthesis in arbitrary images via character-aware diffusion models, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Udifftext: A unified frame- work for high-quality text synthesis in arbitrary images via character-aware diffusion models, 2023

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T21:07:44.215339Z

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Observation b423d296-bef3-413e-9c68-ed34d5f7fceb · outbound

This paper cites A task is worth one word: Learning with task prompts for high-quality versatile image inpainting, 2023.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis A task is worth one word: Learning with task prompts for high-quality versatile image inpainting, 2023

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.826533Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b7ba74b-e7fb-4925-a627-e4edbaa3c848 · outbound

This paper cites Colorflow: Retrieval- augmented image sequence colorization, 2024.

UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis Colorflow: Retrieval- augmented image sequence colorization, 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:07:44.808665Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

Observation 6b2b842f-6b4f-4a34-9a2b-3a89513fc44d · inbound

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling cites this paper.

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling UniGlyph: Unified Segmentation-Conditioned Diffusion for Precise Visual Text Synthesis

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:16:28.886236Z

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