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Paper Citation Record · LEDGER

GenClaw: Code-Driven Agentic Image Generation

As of 10 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2605.30248.

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

pith.paper-citation-record.v1
2605.30248 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:36:54.292448Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:13:38.493084Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:15:39.449689Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact36
  • verified fuzzy0
  • unresolved27
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8334f070-6c0b-4570-8b64-6c160dd201c9 · outbound

This paper cites Claude.https://www.anthropic.com/claude, 2024.

GenClaw: Code-Driven Agentic Image Generation Claude.https://www.anthropic.com/claude, 2024

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:5098ea5ac045af87c2847e7c90a38c30758ba8b1bb091f173a37070b9cf22181

Observation 50d62d82-5559-472d-97f3-baa13edd3c8d · outbound

This paper cites Flux2max: Nextgenerationimagesynthesis.

GenClaw: Code-Driven Agentic Image Generation Flux2max: Nextgenerationimagesynthesis

Reference 2

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:472b1c2aa165ac3f1856785a6bcf75abf5cc7369a69ea69998eaa4876ea017de

Observation 4d3b2ddf-460e-4ed7-ad23-d9f91928646d · outbound

This paper cites an unresolved cited work.

GenClaw: Code-Driven Agentic Image Generation Unresolved cited work

Reference 3

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parse uncertain
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:efc40602d92d66920cb3d09845c4578afa5ecf88f6af2673c342a346615fe93b

Observation 0078fc04-07b9-4e36-b61f-93e5bc4aed23 · outbound

This paper cites Flux 2 pro: State-of-the-art quality at maximum speed.https://bfl.ai/models/flux -2, 2026.

GenClaw: Code-Driven Agentic Image Generation Flux 2 pro: State-of-the-art quality at maximum speed.https://bfl.ai/models/flux -2, 2026

Reference 4

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:b0ae595206bc99103c106e1fabc013d07102a64c109424fb3e72fc982b73f46f

Observation 1b25bf3f-b30c-4ff5-a3da-a5361a4711e3 · outbound

This paper cites FLUX.2 [klein]: Towards Interactive Visual Intelligence.https://bfl.ai/blog/flux 2-klein-towards-interactive-visual-intelligence, 2026.

GenClaw: Code-Driven Agentic Image Generation FLUX.2 [klein]: Towards Interactive Visual Intelligence.https://bfl.ai/blog/flux 2-klein-towards-interactive-visual-intelligence, 2026

Reference 5

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:2d6b09b6af9686c04f4514e0f5c9108d37cabed477f345c3e03e7ff4f9ccd48c

Observation 6c31b516-3052-4135-b574-9cec68c14a39 · outbound

This paper cites Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer.

GenClaw: Code-Driven Agentic Image Generation Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.965775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:6d604729b0a9e2b62ad70872b88312a60e26370441dcd0071e4218cef59c6ba8

Observation 1053ca9e-e893-455f-bbc8-27ec9aa1ae36 · outbound

This paper cites BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset.

GenClaw: Code-Driven Agentic Image Generation BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.998609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:4d9c3ada13146f038fda1fbca11b1e964309d3c9ec9524a0f6fbfbb8f991d197

Observation 39f529d6-8bc0-46e6-9f27-3da19eac3698 · outbound

This paper cites Unify-agent: A unified multimodal agent for world-grounded image synthesis.

GenClaw: Code-Driven Agentic Image Generation Unify-agent: A unified multimodal agent for world-grounded image synthesis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.975654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:1d45604000981ed4b5e7e3b3621aa8dc258f1b847503e635cc9bd08ace22818d

Observation 56140b54-0ce7-4a86-b00b-d13ca9babbd6 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

GenClaw: Code-Driven Agentic Image Generation Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.967304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:8e996a9475ff215157fe58050ac6101a9f3907a3e5b9fb6a8491af2220345fca

Observation a85a86a5-ba2f-49e9-bbcf-f21a1293abba · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

GenClaw: Code-Driven Agentic Image Generation Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 10

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:d09c1245881c71b5a5f4e9c22ccdc7bed489da52483d29146a6fd069584c61f5

Observation def4372d-33ff-4710-9e59-113bfddfdb74 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GenClaw: Code-Driven Agentic Image Generation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 11

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verified exact
local_arxiv, observed 2026-06-29T07:43:13.973375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:21cf23767b0edb163ad910fac3459edf96e2926aa4b2416d0f26223509d9d572

Observation c48ecdcb-6dd0-44f8-8d91-44428270f8f5 · outbound

This paper cites Emu3.5: Native Multimodal Models are World Learners.

GenClaw: Code-Driven Agentic Image Generation Emu3.5: Native Multimodal Models are World Learners

Reference 12

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verified exact
local_arxiv, observed 2026-06-29T07:43:13.990845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:dbfbac1330b5f041fdecc11d66dd4234d04cbeba7db93a2e691bd2ecd9ebb47a

Observation 5df7eb7d-3701-499f-a182-4edc2e9baba6 · outbound

This paper cites DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence.

GenClaw: Code-Driven Agentic Image Generation DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

Reference 13

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:e18c5f766ef8a02bd15e9e84d6b4dc3ac4095810db5974e753752ecf45dc20d3

Observation 704dab26-e569-49ba-a7f5-bc9d8867db3a · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

GenClaw: Code-Driven Agentic Image Generation Emerging Properties in Unified Multimodal Pretraining

Reference 15

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verified exact
local_arxiv, observed 2026-06-29T07:43:13.986784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:7ab7a77c00a2a1a7da9d81576cf79be45d6e720d3dcdcc0838f1ebd97afad547

Observation b502f9af-872a-4ed0-afab-e7e609e24e68 · outbound

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

GenClaw: Code-Driven Agentic Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 16

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:c6e7589788034353826cc80c8cc1478ad27ba37e5cbac1058df04bed2ff84a4e

Observation d4442911-0000-44df-bbbe-987eb48803b0 · outbound

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

GenClaw: Code-Driven Agentic Image Generation Gen-Searcher: Reinforcing Agentic Search for Image Generation

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.907012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:5b8015fe0ef1d5f494c599a453f266b93345868aab5a5e321527a842cb6237ab

Observation 741e40e9-c35a-44e2-a264-ac3a643d8e87 · outbound

This paper cites X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again.

GenClaw: Code-Driven Agentic Image Generation X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again

Reference 18

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verified exact
arxiv_id, observed 2026-06-29T07:43:13.914943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:f9cc9218f331b4936037210bd9406696c5c303753418559f1e5ee48e45d80ba2

Observation 37ee22fe-fae4-4ef7-9409-c0bc30718a74 · outbound

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

GenClaw: Code-Driven Agentic Image Generation Generative adversarial networks.Communications of the ACM, 63(11):139–144, 2020

Reference 19

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:f07717c1dd1206d4942a0f7b36b92cae277cf39ae98a00473f5ff5ffdcff1a50

Observation d7f396a4-e4d3-477a-bd13-0cefb7df91f6 · outbound

This paper cites Gemini 2.0 flash.https://developers.googleblog.com/en/experiment-with-gem ini-20-flash-native-image-generation, 2025.

GenClaw: Code-Driven Agentic Image Generation Gemini 2.0 flash.https://developers.googleblog.com/en/experiment-with-gem ini-20-flash-native-image-generation, 2025

Reference 20

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:a5923db4543f27b0feca938db94f1ec95b5f682aa06bd926fd2b3eb2dc008313

Observation e7c38de0-0ccc-40b6-8dd5-91130cfb3edf · outbound

This paper cites Gemini 3: Introducing the latest gemini ai model from google.https://blog.google/products /gemini/gemini-3/, 2025.

GenClaw: Code-Driven Agentic Image Generation Gemini 3: Introducing the latest gemini ai model from google.https://blog.google/products /gemini/gemini-3/, 2025

Reference 21

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:8a4a36775e3fc4db5a80e32da0f4f9773d43128081cf0408e82fa8ce02c350de

Observation 3f8e9cd5-4465-418b-842b-1cf2835dfa8d · outbound

This paper cites Gemini image pro: High-quality image generation.https://deepmind.google/mode ls/gemini-image/pro/, 2025.

GenClaw: Code-Driven Agentic Image Generation Gemini image pro: High-quality image generation.https://deepmind.google/mode ls/gemini-image/pro/, 2025

Reference 22

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:384e1dee59646aa1f42a7e24321902aaa7867cf9ebc03f50eacbb4422404762f

Observation 675046ac-c261-48e8-ba9b-bb8492d30a8d · outbound

This paper cites Gemini image: High-quality image generation.https://deepmind.google/models /gemini-image/flash/, 2025.

GenClaw: Code-Driven Agentic Image Generation Gemini image: High-quality image generation.https://deepmind.google/models /gemini-image/flash/, 2025

Reference 23

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:5509b2607678cf72ca1617e47e603d4e3502df5f010b51a4423fb4c413d6eb1c

Observation 4cc5038e-bf2d-4c6e-9948-64a8278e3e7e · outbound

This paper cites Controlling your image via simplified vector graphics.arXiv preprint arXiv:2602.14443, 2026.

GenClaw: Code-Driven Agentic Image Generation Controlling your image via simplified vector graphics.arXiv preprint arXiv:2602.14443, 2026

Reference 24

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verified exact
arxiv_id, observed 2026-06-29T07:43:13.909117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:07e3e31e4f43d584ac04ab7b43d197c50368e33f7774b3ad2d6d93be49044a51

Observation 09da2f5f-7c3d-4679-be26-877730404ffa · outbound

This paper cites Mind-brush: Integrating agentic cognitive search and reasoning into image generation.

GenClaw: Code-Driven Agentic Image Generation Mind-brush: Integrating agentic cognitive search and reasoning into image generation

Reference 25

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verified exact
arxiv_id, observed 2026-06-29T07:43:13.917590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:656a38f447372f4c416c578f55bc90961379cda89d13899ae719850eb049b155

Observation 60152a42-4a23-4706-81f8-aaca9d024cad · outbound

This paper cites T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT.

GenClaw: Code-Driven Agentic Image Generation T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT

Reference 26

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verified exact
arxiv_id, observed 2026-06-29T07:43:13.932216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:0dd9c55eaec2bca91a3378e1e018a18baf0e48db5ff0cbc8301d5bffc6c5fbe7

Observation 37011bf0-61ea-4e71-8f4c-49c331b27607 · outbound

This paper cites Draco: Draft as cot for text-to-image preview and rare concept generation.

GenClaw: Code-Driven Agentic Image Generation Draco: Draft as cot for text-to-image preview and rare concept generation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.984375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:09a05805edd925b0a1c3b679f79e50106049e8eadb46980c9ff059c1e6c149fd

Observation 0c89b9a5-f8f6-4567-979d-1caa4453c7c3 · outbound

This paper cites Genagent: Scaling text-to-image generation via agentic multimodal reasoning.

GenClaw: Code-Driven Agentic Image Generation Genagent: Scaling text-to-image generation via agentic multimodal reasoning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.994750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:e20abac0d592d7dd3690fa748af77bc07f5f9bd23fc771b76e0f9eb08837f71a

Observation e4298619-664d-4200-bff8-4fb7a3a9e134 · outbound

This paper cites Segmentanything.

GenClaw: Code-Driven Agentic Image Generation Segmentanything

Reference 29

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:2f13ef777b52320f305c53d748829ab12748764de3ee83849faf8901b29ca97e

Observation 80b9fa9e-7460-464c-ad13-a10ed716fbd5 · outbound

This paper cites Think-then-generate: Reasoning-aware text-to-image diffusion with llm encoders.

GenClaw: Code-Driven Agentic Image Generation Think-then-generate: Reasoning-aware text-to-image diffusion with llm encoders

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.976119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:0c2eb5b0107f918ef1cdedd313152d304d92b3a6a832b89bf47efe8a43162da7

Observation 6dcf07fe-8c4b-4828-8335-bd9cd8092244 · outbound

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

GenClaw: Code-Driven Agentic Image Generation Flux.https://github.com/black-forest-labs/flux, 2024

Reference 31

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:a4f03b4fa2ec115bb371b4521fd1567b7e0b8254c36dcfc1dd2804929268a936

Observation 0ca5d1c2-e9e5-4790-8327-538827dc65e9 · outbound

This paper cites Flux.1 kontext: Flow matching for in-context image generation and editing in latent space.

GenClaw: Code-Driven Agentic Image Generation Flux.1 kontext: Flow matching for in-context image generation and editing in latent space

Reference 32

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:290a3239666881959a2cb54afbdce032f0044b5d2dc93a4204aeac2a038f3944

Observation 20228ccf-1c67-405c-b879-238f9623a16a · outbound

This paper cites FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space.

GenClaw: Code-Driven Agentic Image Generation FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.977964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:b055cfdc44a961dd31dde30033f7df6ad63966466e7d3e4fcbfa5a8c1dc66045

Observation 62996d9a-5027-49fb-b010-d7c3601d8cd2 · outbound

This paper cites CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation.

GenClaw: Code-Driven Agentic Image Generation CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-08-07T02:38:51.147463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:99d0059389a0eeed0777a95114816e8a06035bdd66bc88fb7be5d4afe803b574

Observation 6e252eb7-61f9-4c00-bad7-5ebdccc466e8 · outbound

This paper cites CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis.

GenClaw: Code-Driven Agentic Image Generation CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis

Reference 35

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verified exact
arxiv_id, observed 2026-06-29T07:43:13.953905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:2b31624de8b36ccafc16d27859e0745fa838732ab0a7656f7aecd1f4da293a87

Observation c6d82e8e-f526-4b6c-8310-134f0cb2469f · outbound

This paper cites Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback.

GenClaw: Code-Driven Agentic Image Generation Uniworld-V2: Reinforce Image Editing with Diffusion Negative-aware Finetuning and MLLM Implicit Feedback

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.956256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:4c2e7eeb94982eb8c15519bc496210ae196ca248b00904cda9a199a598563c0b

Observation 1c813c73-6f3f-49ae-ade1-5be0c9368761 · outbound

This paper cites An LLM-LVLM Driven Agent for Iterative and Fine-Grained Image Editing.

GenClaw: Code-Driven Agentic Image Generation An LLM-LVLM Driven Agent for Iterative and Fine-Grained Image Editing

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.958872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:93865206756a61a213f76957b66eeaeafe46859ea2f40810b8b98b341003b6f4

Observation 1dba4c74-a708-4b83-b5c3-4341dade3acc · outbound

This paper cites Liu, S., Ren, Z., Gupta, S., and Wang, S.

GenClaw: Code-Driven Agentic Image Generation Liu, S., Ren, Z., Gupta, S., and Wang, S

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:43:13.968460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:c0c0cd7e55fd96dbcfc5c7ce83b487e9e86fe7923957af6fd54a973fe48efaac

Observation bd67c00e-2ef8-441f-b03d-3d3bb2d1c771 · outbound

This paper cites JarvisEvo: Towards a self-evolving photo editing agent with synergistic editor-evaluator optimization.

GenClaw: Code-Driven Agentic Image Generation JarvisEvo: Towards a self-evolving photo editing agent with synergistic editor-evaluator optimization

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.996104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:9d19371bd8d9a4034b193503d1ff029a40788990d70d5b3e5f4c9e4f1176207c

Observation 5c34d77e-3ee6-4a2b-be7b-0f9cb77e3323 · outbound

This paper cites Gpt-image-1: Models and capabilities for image generation.https://platform.openai.com/ docs/models/gpt-image-1, 2024.

GenClaw: Code-Driven Agentic Image Generation Gpt-image-1: Models and capabilities for image generation.https://platform.openai.com/ docs/models/gpt-image-1, 2024

Reference 40

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:41607b4d363489ddc8dcc76c1b929e95cf8120f151042a382a61f71a741ddd5f

Observation 480c4ce7-999c-4e49-b778-5f7fc761436f · outbound

This paper cites Gpt-4o.https://openai.com/index/introducing-4o-image-generation, 2025.

GenClaw: Code-Driven Agentic Image Generation Gpt-4o.https://openai.com/index/introducing-4o-image-generation, 2025

Reference 41

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:c7005b8495137063a6082ab07705c66dce73a53f3d83a0054401590d98f8aabe

Observation 4981fa1e-baaf-472f-a14e-49cee6b53d85 · outbound

This paper cites Gpt-image-1.5: Enhanced visual reasoning and creative generation.https://platform.openai.

GenClaw: Code-Driven Agentic Image Generation Gpt-image-1.5: Enhanced visual reasoning and creative generation.https://platform.openai

Reference 42

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:fc8bec91f3ae4318a549565ae4e4a0d28b47ec8560c2921d4a6f3107673446ea

Observation 28f14867-d252-42cd-912b-960dd3d4d572 · outbound

This paper cites GPT-Image-2.

GenClaw: Code-Driven Agentic Image Generation GPT-Image-2

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:862b137389c0a77984bad613a00a2de3bcd98bd5dd9195f1b0c9d69d7fc561f8

Observation 238b566d-90ac-40b1-8ebf-ba0454f2811c · outbound

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

GenClaw: Code-Driven Agentic Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.999704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:c9fac0d14faa13ff38cff8e4b233722dbebab12f4af8ee71040566eb48f7fdbd

Observation fd4017f4-8c36-4102-b103-339e5193d0d3 · outbound

This paper cites Lumina-Image 2.0: A Unified and Efficient Image Generative Framework.

GenClaw: Code-Driven Agentic Image Generation Lumina-Image 2.0: A Unified and Efficient Image Generative Framework

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.943488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:4d26b3759d94e6a4553ed2fbaeb64d35a4fb6a6ce704ae56d437d96437d4e980

Observation 53d3ed3b-72da-4f7a-b5aa-e585b702c03f · outbound

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

GenClaw: Code-Driven Agentic Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.945900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:7263498419fd861dcbf4d575f0cde25b29b2e7151f2bde547901bef72a2fd799

Observation b97ee403-f057-404b-bc46-51e30ca2c48f · outbound

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

GenClaw: Code-Driven Agentic Image Generation SCOPE: Structured Decomposition and Conditional Skill Orchestration for Complex Image Generation

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.963114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:dc050417c8e127fb1ec25290f91a261297e138eea5f591ea83799c5dd9c7deca

Observation 25168c4e-0c96-485e-84f8-0be0557f9b59 · outbound

This paper cites High-resolution image synthesiswithlatentdiffusionmodels.

GenClaw: Code-Driven Agentic Image Generation High-resolution image synthesiswithlatentdiffusionmodels

Reference 48

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:378552a4545df71da3a327041e60f40c47a146d4765ce16c86b1a6467610e50c

Observation ae3e2af0-a14b-436a-8174-78e5d694ea8e · outbound

This paper cites Seedream 4.0: Toward Next-generation Multimodal Image Generation.

GenClaw: Code-Driven Agentic Image Generation Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.942949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:d76f05143630e5bd291d94fa7444a18d3b31e4fe7812f802ad42efecae511ebe

Observation 195d1d94-0330-4e85-8901-69b4c91d0204 · outbound

This paper cites Stable diffusion 3.5 large.https://huggingface.co/stabilityai/stable-diffusi on-3.5-large, 2024.

GenClaw: Code-Driven Agentic Image Generation Stable diffusion 3.5 large.https://huggingface.co/stabilityai/stable-diffusi on-3.5-large, 2024

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:7d4cf24be90982ad556604f4296ccda6ada650f09522b85312e86cda35484a99

Observation 8fe99bb0-4179-4af8-926a-f15dda6ef260 · outbound

This paper cites Kimi K2.5: Visual Agentic Intelligence.

GenClaw: Code-Driven Agentic Image Generation Kimi K2.5: Visual Agentic Intelligence

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.983221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:098f55d5e1f3310e9f0bafece5378dc429623cc6ab0fcbcc4288b665026979d9

Observation ed80e3e1-fd54-49e2-bc00-42ede4c9b383 · outbound

This paper cites Longcat-next: Lexicalizing modalities as discrete tokens.

GenClaw: Code-Driven Agentic Image Generation Longcat-next: Lexicalizing modalities as discrete tokens

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.935174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:5d65fb487ca4b39310c647335b9e193705d74349dffda4c854f93823c1728a78

Observation e6bf48f3-a2ea-4be1-b266-d53dc7b17932 · outbound

This paper cites Three.js: Javascript 3d library.https://threejs.org, 2024.

GenClaw: Code-Driven Agentic Image Generation Three.js: Javascript 3d library.https://threejs.org, 2024

Reference 53

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:6bc45f8e61e1f9e78bb063f437169a9bdaab8bfb3b8918ab2d6efeb60850fec5

Observation e6e29107-c16f-480f-bc8f-96bfb7df9ef1 · outbound

This paper cites Internsvg: Towards unified svg tasks with multimodal large language models.

GenClaw: Code-Driven Agentic Image Generation Internsvg: Towards unified svg tasks with multimodal large language models

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.918158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:8f4f9c4fd12969993f307f06ed7cd26960f3a06fa59a19e4b72786c4f62ab5c4

Observation 026de53c-144b-4b2c-86de-f7b8dae57d3d · outbound

This paper cites arXiv preprint:2509.04545 , year=.

GenClaw: Code-Driven Agentic Image Generation arXiv preprint:2509.04545 , year=

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:43:13.988473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:18203863441d85d40a0672a920ce93d7710e0fe9d69a728406ccaa288d5d10c7

Observation e8611c2b-2343-4ffe-8cb3-88677a2f4d9b · outbound

This paper cites Spot the fake: Large multimodal model-based synthetic image detection with artifact explanation.Advances in Neural Information Processing Systems, 38:58972–59005, 2026.

GenClaw: Code-Driven Agentic Image Generation Spot the fake: Large multimodal model-based synthetic image detection with artifact explanation.Advances in Neural Information Processing Systems, 38:58972–59005, 2026

Reference 56

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:e343acbda9f952c573ea3396e1363dc508ee1ed0e213f591a85ae5f5749b61e4

Observation 37366673-c64f-4bba-90ed-48bcac8da927 · outbound

This paper cites Qwen-Image Technical Report.

GenClaw: Code-Driven Agentic Image Generation Qwen-Image Technical Report

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.909458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:c71eb7e07bd98915ada124457859737f69d0827ff86aeec9b2b6bf248ffc7cda

Observation cebe3028-532e-4d82-8dd9-5b3ea8161814 · outbound

This paper cites OmniGen2: Towards Instruction-Aligned Multimodal Generation.

GenClaw: Code-Driven Agentic Image Generation OmniGen2: Towards Instruction-Aligned Multimodal Generation

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.929105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:0053136728838bf99e5b0cd531da881ea7c61ae4653ad4bce0dfa9d48d77c291

Observation 5fa9b58b-da0d-4252-90fa-6374953b4c93 · outbound

This paper cites CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning.

GenClaw: Code-Driven Agentic Image Generation CoCoEdit: Content-Consistent Image Editing via Region Regularized Reinforcement Learning

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.158779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:3f5f087165d8352e834629e24fddc3f67077ff8ef6c70b8bf66c9148131d76c2

Observation 2b3b6ed0-595f-408f-b1c0-05fd0062c242 · outbound

This paper cites Omnisvg: A unified scalable vector graphics generation model.Advances in Neural Information Processing Systems, 38:113670–113696, 2026.

GenClaw: Code-Driven Agentic Image Generation Omnisvg: A unified scalable vector graphics generation model.Advances in Neural Information Processing Systems, 38:113670–113696, 2026

Reference 60

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unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:44513919d47328ecff79a5b43fba879024274819dcae345d202d8ae2179e90fc

Observation 7fdf0da5-bff9-452a-a143-00933fa83504 · outbound

This paper cites Leveraging bev paradigm for ground-to-aerial image synthesis.

GenClaw: Code-Driven Agentic Image Generation Leveraging bev paradigm for ground-to-aerial image synthesis

Reference 61

Resolution
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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:e4708ef7eb2f2b9c7478f7973ddfe9b3cc7b7b6149ba43a52c11d3207b4901c2

Observation d90f1426-8151-49e6-9048-e1ba002e6484 · outbound

This paper cites Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation.

GenClaw: Code-Driven Agentic Image Generation Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.991999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:35925538b6629fea0f9a035bfcbf4dbebda6efe5fb1dad5535ed39469d179561

Observation 45537935-e1ea-40c5-910e-d7eea00083ea · outbound

This paper cites Loki: A comprehensive synthetic data detection benchmark using large multimodal models.

GenClaw: Code-Driven Agentic Image Generation Loki: A comprehensive synthetic data detection benchmark using large multimodal models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:e37e4d8d37ca1f4cde58d158f84884e0d947a84199eba1b34c5e72036079125f

Observation c6b66840-182f-4e22-a610-53a9a76d5a86 · outbound

This paper cites Realgen: Photorealistic text- to-image generation via detector-guided rewards.

GenClaw: Code-Driven Agentic Image Generation Realgen: Photorealistic text- to-image generation via detector-guided rewards

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.951012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:fc53d79fb1df027b664c335d68667c64d7f172ff643b1e58a1b5b7700eb6fa2e

Observation 66a7cd70-6c40-410b-90d6-dfe02fdeea91 · outbound

This paper cites ImgEdit: A Unified Image Editing Dataset and Benchmark.

GenClaw: Code-Driven Agentic Image Generation ImgEdit: A Unified Image Editing Dataset and Benchmark

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-06-29T07:43:13.932059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:e891baa03068c9d5d3f817660a47f552c57b866f4955e9bce216e7b01aa08263

Observation ab2e2750-e25c-4f5d-9624-548303751526 · outbound

This paper cites Qwen-image-layered: Towards inherent editability via layer decomposition.

GenClaw: Code-Driven Agentic Image Generation Qwen-image-layered: Towards inherent editability via layer decomposition

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.938221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:dbb9225ea7d3fff9e8269c3a67ecbc4d58bad2833b603e2208f5667c6dfbb48e

Observation 46941f9d-eb58-4698-afeb-42464383a7e9 · outbound

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

GenClaw: Code-Driven Agentic Image Generation Adding conditional control to text-to-image diffusion models

Reference 67

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no resolver link, observed 2026-06-29T07:36:54.292448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T07:36:54.292448Z digest=sha256:65204ee819a749a8c6b14716784938c4d9f2707ee71266267c3dbd5d23e64185

Pith citing papers

Observation fcfbedb8-094b-49bf-b0a2-18b471803ab6 · inbound

ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation cites this paper.

ToolArtist: Tool-Using Unified Multimodal Models for Agentic Image Generation GenClaw: Code-Driven Agentic Image Generation

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:15:39.458384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T00:15:39.042271Z digest=sha256:e66baeb2c867c73788db241bb24159b738e3f0dc087decc064ef0220b299fc10

Observation 33233f8b-b62d-4f4c-95d4-977e60f92ca2 · inbound

WorldClaw: Agentic 3D Open-World Generation at Scale cites this paper.

WorldClaw: Agentic 3D Open-World Generation at Scale GenClaw: Code-Driven Agentic Image Generation

Reference 101

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no resolver link, observed 2026-08-08T17:13:38.493084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:13:38.493084Z digest=sha256:dbd8f459863ae486de358b7681ca8beb81346aaa759e14ecada1bcdc03daa9cf