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Paper Citation Record · LEDGER

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing

As of 5 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 0 inbound Pith citation observations for arXiv:2607.02290.

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

pith.paper-citation-record.v1
2607.02290 v1

Coverage vector

measured 100 of 117 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T15:38:36.388570Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 117 outbound references displayed

  • verified exact20
  • verified fuzzy65
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc969234-fbda-49bb-bc90-31c6708e8bd0 · outbound

This paper cites Biochemistry Free For All.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Biochemistry Free For All

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.804923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:cb641b3cf094694fd0943090939bfe3487e429793e9e31443af75ede22f8abfe

Observation 13567efb-23ab-4423-b058-e53d255fed55 · outbound

This paper cites historical-basemaps, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing historical-basemaps, 2026

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.764775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:4c6d28ce7595817cf8fba42bf46ad7005e562c9499052afea0dc078a693b9d9f

Observation d058eea8-cf24-47c4-9bde-167ae9221425 · outbound

This paper cites Qwen3-VL Technical Report.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Qwen3-VL Technical Report

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.114758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:a214128477ad19a9a61c8969b7c40d66a90371f8e713402843b7c62419976715

Observation ccbba317-2ace-446f-9872-c42c0729745b · outbound

This paper cites Automatikz: Text-guided synthesis of scientific vector graphics with tikz.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Automatikz: Text-guided synthesis of scientific vector graphics with tikz

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.785605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9f45b5543258bbcbd5c1baa0816bcce2526b5656bfbec6d484549c8b826a833e

Observation 1cf3a2b9-4897-4f02-9e69-6789b7d30689 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.879040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:967837f9514c2d07905115c2111b48ba7d6063b38834a36f1e20c6aae025c31c

Observation af4bb765-950d-4cf2-98c7-784fafb1dc87 · outbound

This paper cites Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.738289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:46e62f2de1725575ff30e8e3ecbc56436d82144887ac7d768c3f3c2ebd7142f1

Observation 441f1fe0-938f-4943-857f-db2f2619722d · outbound

This paper cites Scaleedit-12m: Scaling open-source image editing data generation via multi-agent framework, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Scaleedit-12m: Scaling open-source image editing data generation via multi-agent framework, 2026

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.752035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:8e225b7c39494cfd505c619bdb4b0a6255412b1c7abaec6a583b653c2b9f8d76

Observation b6b7f9c6-a38c-408c-af45-96115bc835fa · outbound

This paper cites Janus-pro: Unified multimodal understanding and generation with data and model scaling.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Janus-pro: Unified multimodal understanding and generation with data and model scaling

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.766788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:eb45f8de7ffa6f2c1a15f1f2ab6563eff3bbffa3b90c9f7aaf9959eddd1e3bcf

Observation 711a6cb9-c190-4e42-a972-5fb729addbbb · outbound

This paper cites Wikimedia commons, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Wikimedia commons, 2026

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.917356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:31caa4b0860e12e260fe193f494f9efceadc03ebfda54202aee3ab50c1fc2795

Observation cd25adde-a6f7-460f-b773-b5d58dcb0532 · outbound

This paper cites PaddleOCR 3.0 Technical Report.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing PaddleOCR 3.0 Technical Report

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.088032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:3c9b43f7f526c87b7fb6f5118155e355e0dbf5dbdffcb9aa1d7eb369fb91aaa7

Observation 74b41b55-c8c1-4277-9ab5-563cfd9a83ca · outbound

This paper cites Emerging Properties in Unified Multimodal Pretraining.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Emerging Properties in Unified Multimodal Pretraining

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.095141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:a4c3e8b3923e5263a8e1b7d0c4612238c36d37ba962903f46a9223e4eb2ab49a

Observation 423269f6-1f75-4654-906a-2baf3ae766e6 · outbound

This paper cites Diffusion models beat gans on image synthesis.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Diffusion models beat gans on image synthesis

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.897554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:066a88f68e115cc2386eb913e5bdf92c1e6a32b6286ccf24c1c99c9a828c5f91

Observation 2c37936e-c6c7-41b2-bcd1-c810c43c906f · outbound

This paper cites SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.117418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:b29133bafa9388f224700276cc5d8e7c3130b23833aa293320f214f76bc4fd9a

Observation a2a74f0f-0fc4-4de5-9b4b-d2026ecd29ae · outbound

This paper cites Gemini 3 flash: frontier intelligence built for speed.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Gemini 3 flash: frontier intelligence built for speed

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.878190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5fbfeb6c744c43f5df9ac283c910bab22b1372127e89a9360c028eb5ccee69c3

Observation ac246095-cc40-4028-82d7-b1d324fb342a · outbound

This paper cites Introducing nano banana pro.https://blog.google/innovation-and-ai/products/nano-banana-pro/, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Introducing nano banana pro.https://blog.google/innovation-and-ai/products/nano-banana-pro/, 2025

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.882638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5476c89d0f849f5c84a3609d7ccfc528469edcc68322308aec085d6a0296ce47

Observation 3aa792f7-1929-467f-ac14-f2851f47491f · outbound

This paper cites Nano banana 2: Combining pro capabilities with lightning-fast speed.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Nano banana 2: Combining pro capabilities with lightning-fast speed

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.867929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:87c0b96c4a2049fde25d0f7e9476b798a452a1aef8df28a65b803fd08d4872be

Observation 06930fc4-0bb8-490f-ad29-297d8836c5d6 · outbound

This paper cites Greenlaw and David Shapiro.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Greenlaw and David Shapiro

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.870434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:008efc2e01c4c113bac5efb3efcf1b2d66e7a205803448a970ee635f21f9912f

Observation 55c41223-a0e9-4840-a942-d0d5a6d21fee · outbound

This paper cites Greenlaw and David Shapiro.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Greenlaw and David Shapiro

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.869650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:f2565c16a32134cc9b873ca1cffca0164fcbc6c1f51854253ce8abd761c3d17d

Observation b1c3a6ba-e7f0-431d-9488-716674e0cecf · outbound

This paper cites Greenlaw and David Shapiro.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Greenlaw and David Shapiro

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.886105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9dc468508dd15f1975d238aca01639e32cbbe86b5bbf09e72a6a7b8c9954fc40

Observation 4599fbee-6ab9-4bf7-9730-173bb5041ef8 · outbound

This paper cites Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.082749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:61a0e6603520bc2d60e1464990b06b02c3ae0400aa634873853d341b714c3c85

Observation 26d3b9d6-99bb-470c-8d47-cae98456c5e5 · outbound

This paper cites Prompt-to-prompt image editing with cross attention control.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Prompt-to-prompt image editing with cross attention control

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.891425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:24b21313c71189968f6dfe08c627b9d283fab8eb12c94266c6d563de317e5124

Observation b9d9a7b7-c3d6-4d41-bcac-847954eb930b · outbound

This paper cites Denoising diffusion probabilistic models.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Denoising diffusion probabilistic models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.905657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5690a810d091d7f4585e0aafb0b4ce6bb232911fe36ca675ec2bf150854ac844

Observation eca8e822-78e2-4bff-967d-e3dc9dd9f3c0 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.858667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:d09df17f60262bc07a5e7345021e92f3a8716de87fa1c2dcd5ed084c26868ba8

Observation 9cfc82c0-ebe6-4e99-b847-d5289a1d23c9 · outbound

This paper cites Chemeval: A multi-level and fine-grained chemical capability evaluation for large language models, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Chemeval: A multi-level and fine-grained chemical capability evaluation for large language models, 2026

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.880245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:50221ed18331dac06b34a6b25c9eaa6b61ec57c084fec022a40522f25557d14c

Observation 2ce64b67-c3a4-4fec-9288-444c5f713ee8 · outbound

This paper cites Smartedit: Exploring complex instruction-based image editing with multimodal large language models.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Smartedit: Exploring complex instruction-based image editing with multimodal large language models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.811117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9e9d91683de4eac7f35023a30543d89d6e4462f591c931ccd53ddeac13804b3d

Observation d2696241-be72-486d-a665-05f1e978a2ae · outbound

This paper cites Microbiology: Canadian Edition.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Microbiology: Canadian Edition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.817014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:64e8879531380c4af93c78dc9dfe97a54fde664d0af24e889f1a0983bbac4ad7

Observation 301114fb-5407-4f93-88eb-957a117bd3cc · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.860302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:6cf5daf0f51652867fd6fb2ed84a66944089c29d250f2b1e038991db3eb3d5b7

Observation 7bc81323-117f-4f6e-8dd5-d8337daef1d8 · outbound

This paper cites Vectoredits: A dataset and benchmark for instruction-based editing of vector graphics, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Vectoredits: A dataset and benchmark for instruction-based editing of vector graphics, 2025

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.862098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:2e8fa8e012b79c9b654a21069bdfc1c4fda690c5df73b8fa3fcbb86b59285ae7

Observation 376f5adf-a863-42bb-befe-5e8b762e53ef · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing FLUX.2: Frontier Visual Intelligence.https://bfl.ai/blog/flux-2

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.854496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:625a64dc7a52b1da2e3006d206111312c2b19dca974c0b15e8306ffc98dd6361

Observation a34886ba-3f84-4d03-b266-fe0bac40ab03 · outbound

This paper cites Rdkit: Open-source cheminformatics, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Rdkit: Open-source cheminformatics, 2025

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.911575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:146a65ebba977b29cd0bb2b8d8d4e4ed656c8e1035a501a397613ea7a95a0d34

Observation f6d9bc8a-a633-4813-a231-75f660cbce58 · outbound

This paper cites S1-omni-image: A unified model for scientific image understanding, generation, and editing, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing S1-omni-image: A unified model for scientific image understanding, generation, and editing, 2026

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.796932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:21ad79cc633f12b5fbb1b81f37cd6a57cc9b8101c4f28ea60a5ce45c65aef5ba

Observation 448c17cb-727b-4e6c-bc9a-b300e399ccd4 · outbound

This paper cites Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.112525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:3a20447cba8c86566cf3a7f5801296acd9ab005f50ad4d557671e1c81d1c5018

Observation 72731afc-41f9-4eeb-8f21-d943f4ff4184 · outbound

This paper cites Grade: Benchmarking discipline-informed reasoning in image editing.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Grade: Benchmarking discipline-informed reasoning in image editing

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.071782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:004786d55aefc7ee9106803e17f822ed92a54baaef01c5f8aa0e6dd7a3b89a3e

Observation e8bd89fc-1707-445e-ac73-9a769a26b706 · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Step1X-Edit: A Practical Framework for General Image Editing

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.079576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:2fdbc59b898e0fdf044bc7fa4294b7f05b4820343455fd40060dbf30963b8aa8

Observation 64b220fc-5cdf-46e7-b007-a5325e5d4b3b · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2021.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2021

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.803894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:539ff54e58e73d660dbd71ce2f1893315dbfc8b4d5b6c0faf3f1ac09aa4d83e2

Observation 4fdbb57b-172e-4d95-8312-1bd85a68e42f · outbound

This paper cites Wise: A world knowledge-informed semantic evaluation for text-to-image generation.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Wise: A world knowledge-informed semantic evaluation for text-to-image generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.810454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:bb9b52e8294f3cf8a1bafdc5b746567a2f672c77a1dd73087a16ab071f8a95e6

Observation 03a89df2-1f02-43e4-935d-ac51226ba2fa · outbound

This paper cites Gpt-image-1.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Gpt-image-1

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.854483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:56465affe8f37fed85d019496e1ee3152b31b486303a27b049a0e9da1fa538d3

Observation 91b017db-a843-453e-8419-5470840d6fe7 · outbound

This paper cites Gpt-image-1.5.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Gpt-image-1.5

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.886954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:c377f112394f75b37a70053b3b0254a628ab4e93f3a0a24fa4352e89dc466b88

Observation 49003339-a74d-48d9-9da7-169bce928bf2 · outbound

This paper cites Gpt-image-2.https://openai.com/, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Gpt-image-2.https://openai.com/, 2026

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.784039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:c855e3050257abb596a7435b2c9836f843d349cf8fc4b2d4eb18445da50b4505

Observation a896d365-0b87-4c7a-8ffc-ae68acff3d84 · outbound

This paper cites Pavlov, M.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Pavlov, M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.772424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:24d3c7792e822e5fd73d8ec9010f0e9c8f1239fcc9682a9e52c3b84b87e708cc

Observation 0e60315d-a662-45c9-8c6e-8c2202421957 · outbound

This paper cites Bizgen: Advancing article-level visual text rendering for infographics generation, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Bizgen: Advancing article-level visual text rendering for infographics generation, 2025

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.774325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9f3795fdf04729d277c55c982a4b27ef54e6edcb2d40880e5d1f7597fa9a60fa

Observation a91469db-0406-480d-943c-fd17ffb11e81 · outbound

This paper cites Pico-banana-400k: A large-scale dataset for text-guided image editing, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Pico-banana-400k: A large-scale dataset for text-guided image editing, 2025

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.779956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:20ef035fdf71bb5922fb29263054348b69bda58ab68ae324fcf4ac7f260d7e91

Observation 58b1db78-6914-4ab2-bc87-f59313bc2305 · outbound

This paper cites Can Large Language Models Understand Symbolic Graphics Programs?.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Can Large Language Models Understand Symbolic Graphics Programs?

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.117528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5ec283344b8e09d0cc76b973bc34e87140d36aa3ec46d767f861da62a42b3c14

Observation 4aa6dc1d-d3c3-4060-81f7-1760e8b2695f · outbound

This paper cites Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Learning-based methods for comparing sequences, with applications to audio-to-midi alignment and matching

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.787529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:d1e59f68538ada6e23b73781946b30ed3cfcebc2d892142f61b55a7c0b9afd5d

Observation 98ed2827-e96a-4bf1-90f9-55dd63cd83c8 · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing High-resolution image synthesis with latent diffusion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.762742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:99c5677a5eff5726fa74a9dcca088aa39f98afd9661fd748dcc5790916deec5b

Observation 3ef4cec3-5b34-41ed-b894-ae47cc1274d7 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Photorealistic text-to-image diffusion models with deep language understanding

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.747487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:8a3e404a6f13404a50abb6eeffafdf41dc08db4c135c9b65f6677f076888249f

Observation eda4b896-2770-4e00-a825-ac036a30f7c9 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.758235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:3851b9dabb9593067568ec267803c00775c4ba4ffa997d713e7e22fbce8367cf

Observation ea33a327-2df9-4dce-a0b5-418ac1035317 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.768879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:6a5edf1d3b8306f85008cdd31c856cbbd66745cd195fc6e919802858fc1c1682

Observation a139b39e-6b86-4c4e-b0c8-a871f40580ec · outbound

This paper cites Seedream 4.5.https://seed.bytedance.com/en/seedream4_5/, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Seedream 4.5.https://seed.bytedance.com/en/seedream4_5/, 2025

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.770687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5afedfee0800da33fc21175ec7552b147bb2dec901b4ba2b9238f0c10d20ea60

Observation 241bbeab-2853-45e1-8f63-458ff5c0358b · outbound

This paper cites Seedream 5.0.https://seed.bytedance.com/en/seedream5_0_lite/, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Seedream 5.0.https://seed.bytedance.com/en/seedream5_0_lite/, 2026

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.903934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:f82de3329bc281c9b8e8a594523a45c713955e737499e7cd3c54c9ad096064d9

Observation cc461932-c342-4815-8638-928c04240d7f · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.119929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:a7c43ee37e70b5d61b0ce24dce4da7ca5643caca59d47963a59e07116d6b5c17

Observation 23a2378b-402b-407d-9821-40700122738e · outbound

This paper cites Mathcanvas: Intrinsic visual chain-of-thought for multimodal mathematical reasoning, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Mathcanvas: Intrinsic visual chain-of-thought for multimodal mathematical reasoning, 2025

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.736066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:1ec1c3c78f6e38dddab6012b71bc11b2de892734b96757fe56652f4d243a14ae

Observation 0bd9c20d-7bd3-4e4a-b4a3-286692005582 · outbound

This paper cites OpenAI GPT-5 System Card.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing OpenAI GPT-5 System Card

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.119746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:1bc7f55b6f9b938ed8620ea71769a6992b661a7a08487a3eee7b8b1f6460f4b8

Observation 518d9dfa-66ad-483e-a1e8-ea14e95489ae · outbound

This paper cites From pixels to prose: A large dataset of dense image captions, 2024.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing From pixels to prose: A large dataset of dense image captions, 2024

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.889838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:f93444ae3092b07dcbb37dac3e08823681de2b0ceb5ec9ab9a662d1a7b8d3d4e

Observation 734fe247-3042-4210-961d-2ebbfc851a04 · outbound

This paper cites Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning, 2021.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Wit: Wikipedia-based image text dataset for multimodal multilingual machine learning, 2021

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.832980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:c3217ab830a1e39464a7e327d606ef682648bccd3d3c1d9740b9a1024e0ce836

Observation 55d385e9-e117-4afd-bc01-14e2c0c8a121 · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Generative multimodal models are in-context learners

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.754015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:262999850cba7112f56c18ecbb2ff37b580eff128de2900a482a6ba659ec8f3b

Observation fe3dc707-3b62-41b9-89d6-eebc0c980dd8 · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Chameleon: Mixed-Modal Early-Fusion Foundation Models

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.104606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:d70279ace0fc8646ae78366595f1f22751bc45b51b4ed0204305b6dc616fa521

Observation 44861ad6-9f23-4c75-a8bd-cc469e843957 · outbound

This paper cites GeoGebra, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing GeoGebra, 2026

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.802912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:40d88204e9c614aaa5c43209ab61373e8601fe74a7dd55aaa4537c1af9cbd6ab

Observation 826b967a-0c89-41cd-aa54-a1dfd3b390b9 · outbound

This paper cites Qwen3-max: Just scale it, September 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Qwen3-max: Just scale it, September 2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.899995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5169eb2fa9bfe60bf62be75b02ff608414c2860465b5e2c979a1bbf80f510c60

Observation 65ee499b-652b-4aab-81e6-ea11a7180380 · outbound

This paper cites Internvl-u: Democratizing unified multimodal models for understanding, reasoning, generation and editing.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Internvl-u: Democratizing unified multimodal models for understanding, reasoning, generation and editing

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.101752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:52df3306728683db8e57fb6040f409835b5fcb85aaf1af4e91210ff2a4b8a1e6

Observation ae27cf5c-c5ae-4ca3-81d2-16bdfe79668f · outbound

This paper cites K12 dataset.https://huggingface.co/datasets/WaltonFuture/K12, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing K12 dataset.https://huggingface.co/datasets/WaltonFuture/K12, 2026

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.902055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:190ef5877ae2459f6fc5dcce1cf0b8bb39826782528396d4590526ef40d91a9d

Observation 4d761a0b-193b-448c-9efa-77c268cdc463 · outbound

This paper cites Textatlas5m: A large-scale dataset for dense text image generation, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Textatlas5m: A large-scale dataset for dense text image generation, 2025

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.913420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:d63220e14b1207e20a08ddacca591dcfcbedc57d23bd53140f2f47bfad95721d

Observation 2d8b835c-876f-4c6d-8025-329e650eeb4c · outbound

This paper cites DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.101252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5581aa4130297f36616d3e688f893083ba23c748cb8b4b0ecb6a81c9eb83b841

Observation cdd89c63-0559-4509-9ead-f9ebafb1720f · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Internsvg: Towards unified svg tasks with multimodal large language models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.106775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:cbff4dffced3c02e6283b87a040fa290a79b1788908ee7dc8c89c11b4c5491f4

Observation 1da89a4f-f0f6-4800-89f0-2204dae39443 · outbound

This paper cites Mv-math: Evaluating multimodal math reasoning in multi-visual contexts.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Mv-math: Evaluating multimodal math reasoning in multi-visual contexts

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.896481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9beed6369cdfe7cab84e43d6dc95f99b83d706fd489205e4a16440599a6ad99c

Observation 70238536-da10-4e0f-8565-f05b307833ea · outbound

This paper cites GenExam: A Multidisciplinary Text-to-Image Exam.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing GenExam: A Multidisciplinary Text-to-Image Exam

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.093215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:5d7976f2894d8c0f527fc1981efabfdb0f6ca4b54270c15d8d7fe5080a7743dc

Observation 4051f8ec-5ccc-4ab4-af01-f618b2c6c194 · outbound

This paper cites Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Wang, Evan Montoya, David Munechika, Haoyang Yang, Benjamin Hoover, and Duen Horng Chau

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.898207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:6fb1b44a4f1624efb60308f7012c36656938c5528beaf3e3065dffd85a442386

Observation 15b2cbb6-027c-4136-83c0-101054d1abe0 · outbound

This paper cites Omniedit: Building image editing generalist models through specialist supervision, 2024.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Omniedit: Building image editing generalist models through specialist supervision, 2024

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.893032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:afbebbd73aba17e46bd5008f89079832b7f9b880ec798b5e56fb797af945d8ba

Observation 42e1bb64-2ea6-4590-89af-b0da1a2d1c21 · outbound

This paper cites Smiles, a chemical language and information system.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Smiles, a chemical language and information system

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.885248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:705e1781740451fda5486e2ec3b12c768d1f5b82c2ce8e757f580a5607ffe18a

Observation 70db0076-6afe-4061-87da-8eaa90820c63 · outbound

This paper cites Qwen-image technical report.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Qwen-image technical report

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.893841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:c77a00e132ea50b229cf71fbe926986334ad6a9adaf63a6c6865d627fc0cc6d0

Observation 96d3c5ac-b9c3-4185-b7ff-92bbe2b4c75a · outbound

This paper cites TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing TunesFormer: Forming Irish Tunes with Control Codes by Bar Patching

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.114856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:4e80777508fdcec6d2f62dc36eb1f258d18b066e6dd0c724dd67f74f9fc073a6

Observation 095359e3-6a0e-42f9-8928-23d5f1500808 · outbound

This paper cites Dreamomni: Unified image generation and editing, 2025.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Dreamomni: Unified image generation and editing, 2025

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.874109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:6a4bc361c45cef054f61dc8b3021e074b65791721e784b096ee6d9e3b2cbd2b2

Observation 5beae0ee-9861-4e3b-8cf6-e9c9abefaea1 · outbound

This paper cites Omnigen: Unified image generation.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Omnigen: Unified image generation

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.884399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9c55c436fb46b7e87593d2b8509bfd67c93cddd78e045e0702ef82f7304a2eab

Observation 88450369-1d38-484d-9992-2657207d5e3d · outbound

This paper cites Show-o2: Improved Native Unified Multimodal Models.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Show-o2: Improved Native Unified Multimodal Models

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.112321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:e50532c57356a383fb541d14b9e65a9c983d5b04ec7e7e5101a343080220e5ad

Observation 82d67503-8d9a-4abe-b102-fd14d9cecdc9 · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Scaling autoregressive models for content-rich text-to-image generation

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.894717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:ad2087d75599ab6e92be0a4876680360a3f41bad1681e80ffdc37a61b3ad983f

Observation 35ad93a2-895d-4aa4-8e77-f5319b7038b4 · outbound

This paper cites Anyedit: Mastering unified high-quality image editing for any idea, 2024.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Anyedit: Mastering unified high-quality image editing for any idea, 2024

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.915379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:70feae87152a4850d49aed104682970de5667d3c88964012341f2e7dfe055352

Observation 91a7c8bf-91da-43cb-ac27-46f13f6028b5 · outbound

This paper cites Implementation and benchmarking of perceptual image hash functions.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Implementation and benchmarking of perceptual image hash functions

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.847869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:89e6317825aaff64346bc3864f200eb9b4749d029dd54e27d81b5f8340a4f03f

Observation 6290461e-1361-47a8-b17e-78df740395e4 · outbound

This paper cites The chembl database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing The chembl database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.845354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:2f1a6e9576b8a388ae6acaddffa3d0b3d8e06f2dd9cae0ee12af83eb540c0402

Observation e8291065-9d3d-4d84-b6ee-4bfa4e430ea4 · outbound

This paper cites Magicbrush: A manually annotated dataset for instruction-guided image editing, 2023.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Magicbrush: A manually annotated dataset for instruction-guided image editing, 2023

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.850049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:ee7d6c19e4314fb025f51a376a1adc527e5365ffb5cb40807df6f7e3d8f10f5b

Observation 9299d076-b253-4253-8485-04d76404721c · outbound

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

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Adding conditional control to text-to-image diffusion models

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.852184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:0bdedb272db9da2fd874f0396371e47b7e6349a464b7b918eb768574b00f0405

Observation 596d1f3a-8dd0-426c-a960-ea8a60d8fd57 · outbound

This paper cites Mavis: Mathematical visual instruction tuning, 2024.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Mavis: Mathematical visual instruction tuning, 2024

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.856722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:9bc005df8d30a5163a65c57d640424dd94958c3a3c61c74fadefa9d0aafa801a

Observation 7aa7e86c-b9af-4df7-b83a-7625a6b83f67 · outbound

This paper cites In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-07-03T15:48:35.106971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:fd8f870ef2bad016947cb0fa05c34ff6d7aeaddc8966a501130bd199ba262363

Observation d78ba3bb-7df5-4421-9f31-79fbee898285 · outbound

This paper cites Qwen-image-2.0 technical report, 2026.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Qwen-image-2.0 technical report, 2026

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.860547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:a5cdab4fcb7d2e7f6d1a70e02c86224f8ea157b3d1a85a00bc3f53eae77544f8

Observation 2d8a83a7-35d7-4fdc-b67a-6ab22b96ead9 · outbound

This paper cites Ultraedit: Instruction-based fine-grained image editing at scale.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Ultraedit: Instruction-based fine-grained image editing at scale

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.837031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:ed688c069088355ae56013d010cd4f3563f0cdacf496b1d5cd3c60b5736fd5b5

Observation 5232d46a-385d-4be4-a000-69d20fa5314b · outbound

This paper cites Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-07-03T15:48:35.082070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:0bb15a89bee58247d7d4dcdc05fee3908040401cc99d58f6ae32cf2f086f11fa

Observation ae70479b-0da7-477d-903a-e4440633674d · outbound

This paper cites fill-in”, “ray optics.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing fill-in”, “ray optics

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.839606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:46035ff570f42e2f7bc378b5951e45911ed1dc90c2bc9b67db3ab66921735120

Observation c3f8d650-16b5-40d2-96c1-2c9e2a8a6e1b · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.865972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:7e5755c2e42c5a0b21f91896b942c5b930031827dbdcb60d873bc380ecddc298

Observation ccad4637-7d0a-4068-b6ea-b0d2b902dd18 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.842267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:c455102418d36cbc284c85f1b85ddfe899b44283b406f6955542ffc1df374680

Observation bbfa7b4a-50d3-4e89-9ce1-5513ceedc5d1 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.818749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:7771da8f9eb8b14ec1a40fbec6ea32b7b0d916cc1dd8d1366b0bc76995ffbb8e

Observation 8123c3ed-5fd9-4009-98f9-5f588cb5cbb9 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.921483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:8aa3b5e87948edda13a3b92c57fa2012f1e94b37f0b9e710dbca78d6e6653fc5

Observation f9d85619-c873-4836-9766-b4ff29904f03 · outbound

This paper cites Do not output code.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Do not output code

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.820664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:1a194763c1fb61212d0626b8f6321639ec31fe7151a2bcb462afc7dfd8a32f6b

Observation e80f24d9-726a-4880-80f6-c84a41641ab9 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.818051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:f29ed1ab67ba52c0a2fda6a33cf7e97ee957947727cd454291487743cd150b98

Observation e5b71c7a-a876-4dc9-b5b2-965696b9b5fd · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 93

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.892221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:763bd33ef1a134ee8863d1350873be85e7f706c2b5a88af6fc13ea37156b8949

Observation 13fb0eee-e673-4220-ae9e-cbe725b3be4a · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 94

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.815068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:fc10232828ca7ff30a7a6174a593a83a97d64bd2d0df05f80d8bb96757c802e5

Observation 40393d94-22ee-4755-8ad2-563b50529db3 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.873324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:3e3b4041d7171f71283958a7683919e51394713bc0916500e0ad2f912f862797

Observation 3930af6d-12c2-4dbd-a109-e898b408eaa2 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.828862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:e2ea657b48e727ecfa50d4f685266b2f8bae52f740a2b35556ed141bfab44578

Observation 2aa98404-cd7d-4917-a8c0-72dc879071dd · outbound

This paper cites (Retried up to a configurable number of times before the topic is abandoned.) The following TikZ code failed to compile.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing (Retried up to a configurable number of times before the topic is abandoned.) The following TikZ code failed to compile

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T06:10:44.875248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:3363a8db1de09634dc9c6b65210a830b6260e71f2887475273b9dd5cb0f912c4

Observation 4d658614-74d0-4a2d-8986-25b4d5b1eddc · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 99

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.909748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:d6173af88ed7aed969d427f47f4927f4740580b8174d488203bc7f2b6a49a359

Observation dfa83169-a97f-412d-b483-a5ae0558a4ec · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 100

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.791350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:3e0c16225505042362350312402967bc27da51f91247e7c7cd2920cc7a2a34b0

Observation 63b06629-c3c5-4200-84db-a859bb1691d7 · outbound

This paper cites an unresolved cited work.

DisciplineGen-1M: A Large-Scale Dataset for Multidisciplinary Visual Generation and Editing Unresolved cited work

Reference 101

Resolution
unresolved
raw_fallback, observed 2026-07-05T06:10:44.798727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-03T15:38:36.388570Z digest=sha256:0ec6aa82f8965db69c2643fa19ec53bcd5e3a3c3fb46c9be0a97e5bb6cfa06f8

Pith citing papers

No inbound Pith citation observations are available.