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Paper Citation Record · LEDGER

IA-T2I: Internet-Augmented Text-to-Image Generation

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 4 inbound Pith citation observations for arXiv:2505.15779.

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

pith.paper-citation-record.v1
2505.15779 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:28.123920Z

measured 43 of 43 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T02:02:32.008630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:50.359914Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact2
  • verified fuzzy7
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 254fda25-a6cc-43bc-827d-b090ec73c186 · outbound

This paper cites High-resolution image synthesis with latent diffusion models, 2021.

IA-T2I: Internet-Augmented Text-to-Image Generation High-resolution image synthesis with latent diffusion models, 2021

Reference 1

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source=pdf_text observed=2026-08-07T15:17:25.265991Z digest=sha256:c80f605ce5f4433cc5c427237769734c238d95636197f7d94e820630156171c2

Observation bc69e4c3-6a44-4796-8293-c400c5b6f001 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

IA-T2I: Internet-Augmented Text-to-Image Generation Adding conditional control to text-to-image diffusion models

Reference 2

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source=pdf_text observed=2026-08-07T15:17:25.360148Z digest=sha256:dc5a992de003d90134ee543b0c9296bc7beb992abba38d9e4a28540c980c77a7

Observation 7f817c21-4b68-4251-a926-e715d038889f · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

IA-T2I: Internet-Augmented Text-to-Image Generation Flux.https://github.com/black-forest-labs/flux, 2024

Reference 3

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source=pdf_text observed=2026-08-07T15:17:25.457301Z digest=sha256:0595f9aa204a2bcec3a136943521136ea88078924cc528744da0245b4eaea461

Observation d6148fed-efaa-4d70-8fd9-7162fd4b1914 · outbound

This paper cites GPT-4o System Card.

IA-T2I: Internet-Augmented Text-to-Image Generation GPT-4o System Card

Reference 4

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source=pdf_text observed=2026-08-07T15:17:25.613298Z digest=sha256:ef71bcd915cf77952e6298564c497edf40849b6c0a93b36970a15ab9db578008

Observation 596ec329-ff35-4c46-bb4e-3fea4d34c4d3 · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020.

IA-T2I: Internet-Augmented Text-to-Image Generation Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020

Reference 5

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source=pdf_text observed=2026-08-07T15:17:25.735205Z digest=sha256:958b2f1505b64fc006d2923c6edab6ca0f5f3b569743dd99e06eab234d634f9a

Observation 55cb4e1e-8a87-448a-b9b7-7b008499835b · outbound

This paper cites Attngan: Fine-grained text to image generation with attentional generative adversarial networks.

IA-T2I: Internet-Augmented Text-to-Image Generation Attngan: Fine-grained text to image generation with attentional generative adversarial networks

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:17:25.808654Z digest=sha256:2a655663d489c1613e66ba7e37b79a2c9f4d880b8a7ab831d5ced4a17fd080b1

Observation 140c2203-557d-4ca5-acc2-41a9fe8e9af7 · outbound

This paper cites Denoising Diffusion Implicit Models.

IA-T2I: Internet-Augmented Text-to-Image Generation Denoising Diffusion Implicit Models

Reference 7

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source=pdf_text observed=2026-08-07T15:17:25.869605Z digest=sha256:a3639ea39876aab9c92ae942aaab23dcdd355788a9a4a21878c5e8527aafb42a

Observation d072a1b2-7f38-44d1-8924-3d8fe07db9c7 · outbound

This paper cites Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024.

IA-T2I: Internet-Augmented Text-to-Image Generation Visual autoregressive modeling: Scalable image generation via next-scale prediction.Advances in neural information processing systems, 37:84839–84865, 2024

Reference 8

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source=pdf_text observed=2026-08-07T15:17:25.927775Z digest=sha256:0d561829f79960aafaeee078d76797ca0181b71b8d2f219b26ac5541938d13f6

Observation 361478c6-d7e3-42cc-8a2e-38b885778450 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

IA-T2I: Internet-Augmented Text-to-Image Generation Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 9

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source=pdf_text observed=2026-08-07T15:17:25.994288Z digest=sha256:995cc881e57aab1bf555ae8947245e0b34d48825db1a7f2aed22a01a92f9d807

Observation f0e0a6db-f50a-4313-9f1d-c7d6284cf2e2 · outbound

This paper cites Controlnet++: Improving conditional controls with efficient consistency feedback: Project page: liming-ai.

IA-T2I: Internet-Augmented Text-to-Image Generation Controlnet++: Improving conditional controls with efficient consistency feedback: Project page: liming-ai

Reference 10

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source=pdf_text observed=2026-08-07T15:17:26.051028Z digest=sha256:0704d7ce34049601e778278dc86bfbea2dcb8d59439bd29ae1239c5e5d3170d9

Observation 26bc7693-c9e1-4dce-ab19-04882e189e26 · outbound

This paper cites Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining.

IA-T2I: Internet-Augmented Text-to-Image Generation Lumina-mGPT: Illuminate Flexible Photorealistic Text-to-Image Generation with Multimodal Generative Pretraining

Reference 11

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source=pdf_text observed=2026-08-07T15:17:26.115967Z digest=sha256:eec5cc3d4fdbfd9a89e1932839ef54c4465d44f33a4938f6605b6b07481ed748

Observation 2af546c9-fe79-4c9c-b098-615c25c800d7 · outbound

This paper cites Show-o: One Single Transformer to Unify Multimodal Understanding and Generation.

IA-T2I: Internet-Augmented Text-to-Image Generation Show-o: One Single Transformer to Unify Multimodal Understanding and Generation

Reference 12

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source=pdf_text observed=2026-08-07T15:17:26.179156Z digest=sha256:e2968e9cc339fca3847b07317ff8dba3a9680759f4b5e96e22ed8a98ef5a7543

Observation c1e9ef26-c87e-49e8-80bc-2b3570f2c7cc · outbound

This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

IA-T2I: Internet-Augmented Text-to-Image Generation Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 13

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source=pdf_text observed=2026-08-07T15:17:26.234981Z digest=sha256:20603ee551357a59c4f4dd5617f8df8cd1dac2343e8ead5824ea9ad8f047bed0

Observation 9c27115a-365f-4255-97ec-b3f514d9920b · outbound

This paper cites Next-gpt: Any-to-any multimodal llm.

IA-T2I: Internet-Augmented Text-to-Image Generation Next-gpt: Any-to-any multimodal llm

Reference 14

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source=pdf_text observed=2026-08-07T15:17:26.310616Z digest=sha256:691c8b5a9014692172241876a180f26be0e4d739f0089c107ece6e02acc7460d

Observation d7134827-a707-4ceb-890a-adfe77e31ddb · outbound

This paper cites SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation.

IA-T2I: Internet-Augmented Text-to-Image Generation SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation

Reference 15

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source=pdf_text observed=2026-08-07T15:17:26.379840Z digest=sha256:b281b5b6b5d03f68c91b129d92f8440dfd3ee21c9ef4e5febdafe739a0223740

Observation 4c9bda6b-eef7-4d07-84df-ab159f0553c7 · outbound

This paper cites ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability.

IA-T2I: Internet-Augmented Text-to-Image Generation ARMOR: Empowering Multimodal Understanding Model with Interleaved Multimodal Generation Capability

Reference 16

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local_arxiv, observed 2026-08-07T15:17:28.915599Z

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.

source=pdf_text observed=2026-08-07T15:17:26.441051Z digest=sha256:d178ccb89e60a631f894bbd937cec946822fbf9fc98b464266b5eebcdbdb6a4a

Observation 924ccdb7-a76b-4da7-ac5a-19d3b4368e2d · outbound

This paper cites ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers.

IA-T2I: Internet-Augmented Text-to-Image Generation ChatDiT: A Training-Free Baseline for Task-Agnostic Free-Form Chatting with Diffusion Transformers

Reference 17

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source=pdf_text observed=2026-08-07T15:17:26.477465Z digest=sha256:2c5a21a535710f83011c1c2a500d2fc572690bc26414dd338d3cd9e1e684c398

Observation 0ed2c20c-8fe4-42b7-a67f-46f38694b170 · outbound

This paper cites Images speak in images: A generalist painter for in-context visual learning.

IA-T2I: Internet-Augmented Text-to-Image Generation Images speak in images: A generalist painter for in-context visual learning

Reference 18

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raw_fallback, observed 2026-08-07T15:17:30.522900Z

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.

source=pdf_text observed=2026-08-07T15:17:26.532718Z digest=sha256:e083b50a19e22131be65e3c3718aa69255b809e36887aa217b5a37a37245c511

Observation bc93ad50-5cfd-4212-a3ec-bac14547bfd6 · outbound

This paper cites Seggpt: Towards segmenting everything in context.

IA-T2I: Internet-Augmented Text-to-Image Generation Seggpt: Towards segmenting everything in context

Reference 19

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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.

source=pdf_text observed=2026-08-07T15:17:26.578282Z digest=sha256:49bb0d9252b77bbdd9bba2b463a51d636c553410cd2164f1b760b3c94f9f1532

Observation 3a03a13e-9017-4040-8d65-8825e146d93d · outbound

This paper cites In-context learning unlocked for diffusion models.Advances in Neural Information Processing Systems, 36:8542–8562, 2023.

IA-T2I: Internet-Augmented Text-to-Image Generation In-context learning unlocked for diffusion models.Advances in Neural Information Processing Systems, 36:8542–8562, 2023

Reference 20

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source=pdf_text observed=2026-08-07T15:17:26.646475Z digest=sha256:d00f4cccc609f7009bada050f4e476097714a1767bdc2bcc8605bf2c2d7edf4d

Observation 8b33aca5-0c10-4f4b-96be-3e877e8e139e · outbound

This paper cites Generative multimodal models are in-context learners.

IA-T2I: Internet-Augmented Text-to-Image Generation Generative multimodal models are in-context learners

Reference 21

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source=pdf_text observed=2026-08-07T15:17:26.706379Z digest=sha256:39a5194657d49bbb1fd2047fd0d5260ae12c61a56c822cc5b12da5ffefd92e1a

Observation b0153b89-5ea3-4c94-861f-0db169ff68e4 · outbound

This paper cites Context diffusion: In-context aware image generation.

IA-T2I: Internet-Augmented Text-to-Image Generation Context diffusion: In-context aware image generation

Reference 22

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source=pdf_text observed=2026-08-07T15:17:26.773430Z digest=sha256:1e00b04487c67323f06496c8e39553ee34c868b1b50609fa41d1e4370c3fffe1

Observation e8868588-5d28-46b4-8b31-cb16a8906996 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

IA-T2I: Internet-Augmented Text-to-Image Generation In-Context LoRA for Diffusion Transformers

Reference 23

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source=pdf_text observed=2026-08-07T15:17:26.822515Z digest=sha256:56bd8fc254fffd9f919ae5160834dc06b9b3bcfa48cc5233fdf47c03b44b775c

Observation 48cddbb7-ec6c-4aca-ad97-8eba96bef0f6 · outbound

This paper cites Retrieval-augmented diffusion models.Advances in Neural Information Processing Systems, 35:15309–15324, 2022.

IA-T2I: Internet-Augmented Text-to-Image Generation Retrieval-augmented diffusion models.Advances in Neural Information Processing Systems, 35:15309–15324, 2022

Reference 24

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source=pdf_text observed=2026-08-07T15:17:26.880964Z digest=sha256:532cb30819b033c299d3f493fc4a5a68be9587faba1fe91761b886c33abde40e

Observation 1fcf6e40-c569-46e2-9840-f60bd8a82cbf · outbound

This paper cites KNN-Diffusion: Image Generation via Large-Scale Retrieval.

IA-T2I: Internet-Augmented Text-to-Image Generation KNN-Diffusion: Image Generation via Large-Scale Retrieval

Reference 25

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source=pdf_text observed=2026-08-07T15:17:26.936866Z digest=sha256:6ca2a11caad51175bbd9429b2615484be4ef63747384ac27a07b8485405765b9

Observation d4047fe1-8917-48ff-b2f0-2c9b4b5a101e · outbound

This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

IA-T2I: Internet-Augmented Text-to-Image Generation Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 26

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source=pdf_text observed=2026-08-07T15:17:27.011626Z digest=sha256:7534de91c597439bd8a2095f5ba1d7fd0c690c000b463b07d62e42891a83f92e

Observation 5227812e-d3bd-4c45-8c47-dc563630ff03 · outbound

This paper cites Fin- erag: Fine-grained retrieval-augmented text-to-image generation.

IA-T2I: Internet-Augmented Text-to-Image Generation Fin- erag: Fine-grained retrieval-augmented text-to-image generation

Reference 27

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raw_fallback, observed 2026-08-07T15:17:29.970376Z

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.

source=pdf_text observed=2026-08-07T15:17:27.072281Z digest=sha256:3205bd36d442a9a2bbf8012d165b3aee3862a55f9197238e223ce241758d1bf7

Observation 2180d177-dc3b-47b0-983f-b7e2780ea3a0 · outbound

This paper cites Realrag: Retrieval-augmented realistic image generation via self-reflective contrastive learning.arXiv preprint arXiv:2502.00848, 2025.

IA-T2I: Internet-Augmented Text-to-Image Generation Realrag: Retrieval-augmented realistic image generation via self-reflective contrastive learning.arXiv preprint arXiv:2502.00848, 2025

Reference 28

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source=pdf_text observed=2026-08-07T15:17:27.129684Z digest=sha256:9998cba66d3b0229e6c3382111b2549da2a6e4577c746bcd51541e1f7e14296a

Observation aff18438-0f94-461e-828a-9d8e343692de · outbound

This paper cites Internet-Augmented Dialogue Generation.

IA-T2I: Internet-Augmented Text-to-Image Generation Internet-Augmented Dialogue Generation

Reference 29

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source=pdf_text observed=2026-08-07T15:17:27.198968Z digest=sha256:46b20cbdb2090e3447b98afb533a125835a272a9d979df6b10771d8e1de42205

Observation 21b1a432-20d4-4dee-986e-403b4b5517f2 · outbound

This paper cites Internet-augmented language models through few-shot prompting for open-domain question answering.

IA-T2I: Internet-Augmented Text-to-Image Generation Internet-augmented language models through few-shot prompting for open-domain question answering

Reference 30

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source=pdf_text observed=2026-08-07T15:17:27.299485Z digest=sha256:a5edace13984426f9b2849a9f33516095697de13877317087ea02882f169b91b

Observation 895d08a5-75d8-4ef9-8baa-c8cea7942798 · outbound

This paper cites ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human.

IA-T2I: Internet-Augmented Text-to-Image Generation ChatPLUG: Open-Domain Generative Dialogue System with Internet-Augmented Instruction Tuning for Digital Human

Reference 31

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local_arxiv, observed 2026-08-07T15:17:28.431235Z

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.

source=pdf_text observed=2026-08-07T15:17:27.367758Z digest=sha256:34411c084a861cb1be50ee574a8cb85b368d7cfb06023965d4e15e6474d68407

Observation 126ef546-5f21-46ba-b7cc-b7ef5ba81304 · outbound

This paper cites Searchlvlms: A plug-and-play framework for augmenting large vision-language models by searching up-to-date internet knowledge.

IA-T2I: Internet-Augmented Text-to-Image Generation Searchlvlms: A plug-and-play framework for augmenting large vision-language models by searching up-to-date internet knowledge

Reference 32

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raw_fallback, observed 2026-08-07T15:17:29.605490Z

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.

source=pdf_text observed=2026-08-07T15:17:27.431960Z digest=sha256:f5bbf0f77969b8d859394ccd4f22b35caaeb7b059d9d1ea7ed50f0f4e9c103c2

Observation 70f40c06-c8ea-4fa9-90aa-12f4ee19e486 · outbound

This paper cites MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines.

IA-T2I: Internet-Augmented Text-to-Image Generation MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engines

Reference 33

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source=pdf_text observed=2026-08-07T15:17:27.472421Z digest=sha256:7abc365a2729959a62c5d474214ddc356de17f6cf340a10c6a741d96aab25dca

Observation a435072d-962f-4eaa-b963-f8e07cc4b287 · outbound

This paper cites Qwen2.5-VL Technical Report.

IA-T2I: Internet-Augmented Text-to-Image Generation Qwen2.5-VL Technical Report

Reference 34

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source=pdf_text observed=2026-08-07T15:17:27.533743Z digest=sha256:cd9c134b6c78ff619731641ab840e1d95b3de36f693ff0094053beee6d4b7bae

Observation 52e1f768-f81b-45fe-9e0f-535527e4138f · outbound

This paper cites Learning transferable visual models from natural language supervision.

IA-T2I: Internet-Augmented Text-to-Image Generation Learning transferable visual models from natural language supervision

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T15:17:29.442673Z

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.

source=pdf_text observed=2026-08-07T15:17:27.614019Z digest=sha256:abc5cc60a610d17dc06e43ff8b0e304456201832f72913b3684f4630078533c1

Observation 59f02db0-7ed7-4969-b98a-3ea691d565be · outbound

This paper cites Prentice-Hall, Inc., 1988.

IA-T2I: Internet-Augmented Text-to-Image Generation Prentice-Hall, Inc., 1988

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:17:27.719823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:17:27.719823Z digest=sha256:755d9bf0440ffabd3753d970dae744b8955b20485883e17aa7af2b03ae1beffd

Observation cb37720b-32c6-4106-9b4b-67966187d66b · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

IA-T2I: Internet-Augmented Text-to-Image Generation An edit friendly ddpm noise space: Inversion and manipulations

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:17:29.293033Z

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.

source=pdf_text observed=2026-08-07T15:17:27.842022Z digest=sha256:17f0955316455cf2c0c4e29008f13fb504d825f7c0c2e9e5dd1cd2618b1c24d6

Observation b5e416a9-ebd6-4517-b0cd-424964debf96 · outbound

This paper cites Step1X-Edit: A Practical Framework for General Image Editing.

IA-T2I: Internet-Augmented Text-to-Image Generation Step1X-Edit: A Practical Framework for General Image Editing

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:17:27.943678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:17:27.943678Z digest=sha256:a1e2037881f53b97197083c5cab7c24448c42f8206acdb5a1208711d9f5b0261

Observation f09b1cd1-d665-4901-bf67-75255107ba84 · outbound

This paper cites True", otherwise you output.

IA-T2I: Internet-Augmented Text-to-Image Generation True", otherwise you output

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:17:29.188186Z

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.

source=pdf_text observed=2026-08-07T15:17:28.123920Z digest=sha256:46cddf138f82653de3c1682457a456e00205c22b1fb4858c1704333c8985130e

Pith citing papers

Observation 248898b0-b4f2-4258-ad5c-5b1e335adacc · inbound

Gen-Searcher: Reinforcing Agentic Search for Image Generation cites this paper.

Gen-Searcher: Reinforcing Agentic Search for Image Generation IA-T2I: Internet-Augmented Text-to-Image Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:19:28.110664Z

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.

source=pdf_text observed=2026-05-14T21:18:10.087258Z digest=sha256:ba3f7f9e8db3891261c6f3d2020035b7420efbe8195f1c8805ec5e80caf8d548

Observation e7d4cbce-fc52-4392-9581-c3248356f2c9 · inbound

Gen-Searcher: Reinforcing Agentic Search for Image Generation cites this paper.

Gen-Searcher: Reinforcing Agentic Search for Image Generation IA-T2I: Internet-Augmented Text-to-Image Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:35:25.161207Z

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.

source=pdf_text observed=2026-05-25T06:31:13.232880Z digest=sha256:67b918657278e7330580768de2b1f726b36e8870a5e42cd07cc43c62a5fdb804

Observation 4d641562-55c1-49a2-91b8-bacf3132ee2d · inbound

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation cites this paper.

SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation IA-T2I: Internet-Augmented Text-to-Image Generation

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T03:30:57.663442Z

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.

source=arxiv_source observed=2026-05-11T02:27:36.104714Z digest=sha256:a6c65976bd9ffacbc2bf68c4abe4f703a671788e1f798666cf3007428a781fc5

Observation ee8a0ae2-6757-4afb-896b-dbace2a2d295 · inbound

RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation cites this paper.

RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation IA-T2I: Internet-Augmented Text-to-Image Generation

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:08:50.361415Z

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.

source=pdf_text observed=2026-06-27T02:02:32.008630Z digest=sha256:132f967957c1b5c9ee5388251b1b9472300f8ad2ad0c65b29ffec5c11d95387e