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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:1e0ff0644dfddee8f8c53a3d0ded44733d35c481b2d2b199458fa44d15941078

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=sha256:2dd312d6c05b49fe655e82fddde28fedd5e0c9633a3e79cf49e0def1cc86ef33

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=sha256:066619790b429c4175b781e1ec3f17f5fe444bf61ba4b0e3072ace2815d3d7fc

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:c19e7fdadb4cb1821e3937f54bbc417ac774ee81c355e6178316123889d5ff51

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:fd9f1f2961edc3df3d6a932a39824c9a8c560f83defe0c55882d1b6f84bf679f

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=pdf_text observed=2026-08-07T15:17:25.808654Z digest=sha256:5dd7a6c17659be43acaea5c13a6bbacf9fae36beb01c9376728b329303e0e14e

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:bf6c5eb6fa1f70de7e9448c5bb6dbf61637a6392d47d0bf8e4b36fb25b842c0c

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:b88ae1345001294b164f833689d5350d2654cba5bd2d98906132088837426187

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=sha256:655e6a44d51fb1a9ce1c221ecf0e7fa816a43e68d01c5c7e56dae32a74529b27

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=sha256:7ca894bbb889daed5ea096707ac6d1ca2079fb524b5ebec99861c8c86517c19e

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=sha256:569727215ddc390e676113937593ad6271d406eb8ddf2f6d97ac860aaa4cdc4e

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:f1a4dbc70a7ede252f05974af17f33749125da4510547e0a9a32f14845716fbc

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=sha256:79d0d3cab8c678ebf1e8ac91b29d8bc8eaf16486cc1a6f647c5c16fb422e16d3

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:b16e57211846da0e3de873cb981808a532901fc1db57ad3dc06e6e80cb19aedf

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=sha256:9957c0547234b37a19c70ca7c88ef93e8d001fc0286c8c2afdc86ad435368f73

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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verified exact
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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:26.441051Z digest=sha256:06e10bf711d0d5d6063cb3c1919069b7d0fb01607f8cf8ebee22372372542b6b

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=sha256:5abef6ca7429dec2c6128a5e139fd896cfb138659945ab3626db755918fbd60f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:26.532718Z digest=sha256:5a9480eeeff3444d81a029fd297bef20643b0921c5e0435d2ccc932379b526ce

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:26.578282Z digest=sha256:6705d687cba8f234b87bc3459d5a535e191a8da60fa107168bed1764eaf2f479

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=sha256:25e669556bab8800a1aa0b1a4f64e800ac35271cc7d61bbe28c21e92b3d135df

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:eaa56ca17d794a51f4967ae9325664fd6a3b898f7d7373820d916190296b2058

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=sha256:24de651eef8b0fa6acc4b47346418a3ad8bf97fe4b79597d9be08f70163d4d36

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=sha256:77d66aaf24878b9a0915da90412de459528753d90f9411db23c7ea991097fe30

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:e0d8bd856541da2b29aae9a65c34b58e775d4d480568e1d140f6ab42636e5846

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=sha256:40688dbb98da7efae4a6719692bdba263dcb083f264075fedfca2618851b1d8c

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=sha256:43e901e0a024cd2580dc4818671f7bd3dfeb75639116d2b224d0ab0e9e573149

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:27.072281Z digest=sha256:4cb25dc741e04f148eba2d89746cee1e1da1b3030d36187331506139c23fc410

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:cbfb37a7c29fa1ef3e2dbe02f1f41913423cfb9c8b9a4c3092c3e816fef0443e

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:cdb0b76fbf43585b15e1073979230270a2cfa150bf0fbef3a40a9b5b912716fe

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:c9fa3c9596d80e0ebd3b382f8896b19f6e8040bf4d38aa7ff71e2a820618d5eb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:27.367758Z digest=sha256:807b2bbf772302d10ae8d1c816edd54a4e018cf52d20699f0a06c00b860e1ca5

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:27.431960Z digest=sha256:bb030851cc4ec8c67393b3b7ecaff72c1b13355516c447d2b3573657e4167a77

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:a0fd5d25701af079476fddedd3091b230a0682ebec179343dfd404cdb1440e55

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=sha256:695e647ce0a4d7c591e5abe83a208ace8da1b4f9371b1a9438334ddcdd7d70bc

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:27.614019Z digest=sha256:a78db37333e5e1a13314ae872efc9ea1de7483fc36323e47a2730c13d94e0759

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:afd0589d252d57264baf467545e6dcdca9abd384e81358a5896c103aec94df4a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:27.842022Z digest=sha256:ec26743fc92526568fe2c95be05769ec21dcf23634de920c663fda1ec18dbeb2

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:cf174157fac717c32d615835f1295ad4bf34f55eca0b5678f6149fb68538c01d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:17:28.123920Z digest=sha256:8ff7720f1f7a2f14d03b9f6a60d675eabdcaf23cacdfcc3e62ad5bb0c45f6e30

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-14T21:18:10.087258Z digest=sha256:c0991842088c00e43a3913fd53ae8e076b44e0cb521d009df312fb53ddcae52d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T06:31:13.232880Z digest=sha256:f04de1d85774b3f7296e3892e595d7724c5f51e3c47f89427d69f649db4cd474

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-11T02:27:36.104714Z digest=sha256:56e47c15699701d656c86b5bddd21dc927804498b29bb6662d4c9bc228fb8210

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T02:02:32.008630Z digest=sha256:def74323261c7e28c2ec6798d84ab2214e3fd84fbc5fe04469689df98363f84c