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Paper Citation Record · LEDGER

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams

As of 23 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 0 inbound Pith citation observations for arXiv:2608.12262.

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

pith.paper-citation-record.v1
2608.12262 v1

Coverage vector

measured 75 of 75 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:15:39.922529Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

75 of 75 outbound references displayed

  • verified exact3
  • verified fuzzy27
  • unresolved43
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d80607f7-35ea-4553-8cf2-7c4ab5546a3d · outbound

This paper cites Minimax m2.5: Built for real-world productivity.https://www.minimax.io/news/minimax-m25, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Minimax m2.5: Built for real-world productivity.https://www.minimax.io/news/minimax-m25, 2026

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.613592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.572418Z digest=sha256:c2f283906a8a299a947e7b7c029f9a95c58258efbc7336d86a9205d7b456a859

Observation e889e588-8340-4fc8-9e05-8e9c6e3bbc3e · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Kimi K2: Open Agentic Intelligence

Reference 2

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no resolver link, observed 2026-08-16T00:15:39.578038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.578038Z digest=sha256:a0c6c8bf9a309b22cb48ab8807759db39d4a0ba2c86e71f019c597ddca81878e

Observation 91bfcf19-7a01-4139-8851-60a9ee3cd505 · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams GLM-5: from Vibe Coding to Agentic Engineering

Reference 3

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no resolver link, observed 2026-08-16T00:15:39.583631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.583631Z digest=sha256:b4f5487d9db717433f0302a71dbcbefc5a5da6c38ff24527a54c9a3739d85aa7

Observation 12acedfc-8068-452e-b80b-ac9bec386994 · outbound

This paper cites Gemini 3.1 pro model card.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gemini 3.1 pro model card

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.597372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.588673Z digest=sha256:228c1245dbfe3dc1167002714b58d5fdbe8a177d192be70c1bc233bc19af5adc

Observation c7004987-b145-4158-b912-5a50ce6b6581 · outbound

This paper cites Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog?id=qwen3.5, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Qwen3.5: Towards native multimodal agents.https://qwen.ai/blog?id=qwen3.5, 2026

Reference 5

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no resolver link, observed 2026-08-16T00:15:39.593460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.593460Z digest=sha256:1525525159148a3ecdde6c8deb2fa58c19d3473dd41f692bfe53196618af1489

Observation cd26eb12-d15c-4152-ac53-4e8d8059dde8 · outbound

This paper cites Gpt-5.2.https://developers.openai.com/api/docs/models/gpt-5.2, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gpt-5.2.https://developers.openai.com/api/docs/models/gpt-5.2, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.571008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.598043Z digest=sha256:f62908c8cec258545c7df2ce1d354fd2f631a1f64369bc19adf9c52468b1210a

Observation 9856a671-e963-4b42-9e19-9d23012ebb93 · outbound

This paper cites Seed2.0 model card: Towards intelligence frontier for real-world complex- ity.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Seed2.0 model card: Towards intelligence frontier for real-world complex- ity

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.549614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.603349Z digest=sha256:7515aa6434c0ef4ae1248f65687d4b4cfa14446329a28dd48e50c0b17c8a9d9b

Observation 78c40698-1bd6-41db-b78b-33c8028f9c99 · outbound

This paper cites Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmarkforexpertagi.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmarkforexpertagi

Reference 8

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no resolver link, observed 2026-08-16T00:15:39.607763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.607763Z digest=sha256:7f82cd3cba016b57bbb27fde434ca01caf63e10b983ce662a0bfe306797a03b4

Observation 5b888be3-284f-46c1-8e9d-af6ef5501c70 · outbound

This paper cites Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mmmu-pro: A more robust multi-discipline multimodal understanding benchmark

Reference 9

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no resolver link, observed 2026-08-16T00:15:39.613187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.613187Z digest=sha256:e3c063a08512125430f370133c07320e3ba9630b19e25d3ceebff3092c2f9123

Observation 5aa9f8ca-72d3-4654-84f4-ce15ca2bc452 · outbound

This paper cites Descriptive caption enhancement with visual specialists for multimodal perception.arXiv preprint arXiv:2412.14233, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Descriptive caption enhancement with visual specialists for multimodal perception.arXiv preprint arXiv:2412.14233, 2024

Reference 10

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no resolver link, observed 2026-08-16T00:15:39.617712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.617712Z digest=sha256:e4b31a8d77412ac9d5f80483a3ef1becdbf559ad684f60f1e148344faa67451a

Observation ecb2f190-97a0-46a3-8f44-435ee32c775f · outbound

This paper cites Agentic Learner with Grow-and-Refine Multimodal Semantic Memory.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Agentic Learner with Grow-and-Refine Multimodal Semantic Memory

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:15:40.710173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.622543Z digest=sha256:0f22716a9169f359e5be0d7252403f2eed8ccc227f3935af78be8ad200238346

Observation b766b664-20b7-482e-a68a-83ea7d9ef943 · outbound

This paper cites Prism.https://openai.com/prism/, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Prism.https://openai.com/prism/, 2026

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.505957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.627578Z digest=sha256:8facb60201ccb5e47009aa40b3a9e7a7e261ca7845e12f6131c7e2d355a75b8b

Observation e55bfb18-cef8-4b81-9c04-bbb7fdc0523b · outbound

This paper cites Charxiv: Charting gaps in realistic chart understanding in multimodal llms.Advances in Neural Information Processing Systems, 37:113569–113697, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Charxiv: Charting gaps in realistic chart understanding in multimodal llms.Advances in Neural Information Processing Systems, 37:113569–113697, 2024

Reference 13

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no resolver link, observed 2026-08-16T00:15:39.632360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.632360Z digest=sha256:186c9ce39c5e5bbb263c7c4233453930771c0b80ab57c01f9829557230890f0d

Observation 118ab233-a652-4545-8555-be97f0659bb9 · outbound

This paper cites Chartmimic: Evaluating lmm’s cross-modal reasoning capability via chart-to-code generation.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chartmimic: Evaluating lmm’s cross-modal reasoning capability via chart-to-code generation

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.476595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.637508Z digest=sha256:fabdaa0e7cc8c4331df029d966b6c60c67b0e3fb2bc2385299c0fc99376c1497

Observation 78ac8ed7-1bf7-43ba-ac5b-5c66f2b7045d · outbound

This paper cites Math blind: Failures in diagram understanding undermine reasoning in mllms.arXiv preprint arXiv:2503.20745, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Math blind: Failures in diagram understanding undermine reasoning in mllms.arXiv preprint arXiv:2503.20745, 2025

Reference 15

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no resolver link, observed 2026-08-16T00:15:39.642020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.642020Z digest=sha256:2e527beb4117893598b730c20c6e47f2e1af8997346bd459e4ef47aae17179f8

Observation 9eb404f1-e478-449d-b532-b51214b80c19 · outbound

This paper cites VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models

Reference 16

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no resolver link, observed 2026-08-16T00:15:39.647053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.647053Z digest=sha256:c1ad26ac43a9bb5e2abbcdcfb7cd2c6cc2ab299f721327dd4c82bdaa166c59a3

Observation 627f29a5-7f73-43d0-8205-cfb6ecea7a55 · outbound

This paper cites Plot2code: A comprehensive benchmark for evaluating multi-modal large language models in code generation from scientific plots.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Plot2code: A comprehensive benchmark for evaluating multi-modal large language models in code generation from scientific plots

Reference 17

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no resolver link, observed 2026-08-16T00:15:39.652257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.652257Z digest=sha256:bd2725f51423d3deee579b37b41ab809e08a8a95826771101c200943d224a717

Observation 9fa5a461-e2e0-4bf8-8b0d-ee536ed42420 · outbound

This paper cites Starvector: Generating scalable vector graphics code from images and text.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Starvector: Generating scalable vector graphics code from images and text

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.449876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.657195Z digest=sha256:ce7674cd841cde9c209562648ccd29fdc49a3ff8e10d07d9bdf407a1e8cb1004

Observation 27bad0f8-84d5-43be-afa9-ecfbda4cc176 · outbound

This paper cites From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.431886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.661801Z digest=sha256:90ef3fb308e688c361d1c6a9ce5d3ebe5259d69b26b80d8ba9cd7b58cae6e3b9

Observation 68919055-2d57-4ef9-8838-19f068d8eb22 · outbound

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

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Automatikz: Text-guided synthesis of scientific vector graphics with tikz

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.414941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.666381Z digest=sha256:44a8e3a41b5c199b9e491349ae45cf9f3ad9befd11bf55124aae0d8ecce5355f

Observation 4100fe42-185e-429b-b855-552e1e620ab9 · outbound

This paper cites Detikzify: Synthesizing graphics programs for scientific figures and sketches with tikz.Advances in Neural Information Processing Systems, 37:85074–85108, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Detikzify: Synthesizing graphics programs for scientific figures and sketches with tikz.Advances in Neural Information Processing Systems, 37:85074–85108, 2024

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.671003Z digest=sha256:1d25a8c017c0b1f6dba250e3564674dbb9bd4a873e6ad8f0ed538fb9cd053ba2

Observation cce8ae06-4ae5-411f-aba3-34a70f198102 · outbound

This paper cites Image2struct: Benchmarking structure extraction for vision-language models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Image2struct: Benchmarking structure extraction for vision-language models

Reference 22

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no resolver link, observed 2026-08-16T00:15:39.675973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.675973Z digest=sha256:c91405aec15bb4f20f84a1c41aedecbd44545c5c9be1995ed7b69d14206f9169

Observation 44ca2d26-4614-4efb-ad72-190bf83f56a3 · outbound

This paper cites ChartE3: A comprehensive benchmark for end-to-end chart editing.arXiv preprint arXiv:2601.21694, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams ChartE3: A comprehensive benchmark for end-to-end chart editing.arXiv preprint arXiv:2601.21694, 2026

Reference 23

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no resolver link, observed 2026-08-16T00:15:39.681348Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.681348Z digest=sha256:eacc265f6b9639fc23fd82a216df013c50537776db8329b73526150e800d8c2a

Observation 2f31694c-99d8-464d-b5a4-22145f7bcbeb · outbound

This paper cites Chartm3: Benchmarking chart editing with multimodal instructions.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chartm3: Benchmarking chart editing with multimodal instructions

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.377034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.685529Z digest=sha256:cc69c17f2e244a4ce04a396537f174889cdb13b2af70277dfb69aca9830db56f

Observation 47799ae1-3538-45ca-8b4d-ee50c50b55ac · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 25

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no resolver link, observed 2026-08-16T00:15:39.689802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.689802Z digest=sha256:8494aba321bf30b7af9fb1e3d887b4531e59ccb32cddc8e6f49aa07d5f44c92b

Observation 906657ac-ad0e-4e3a-b50f-6e140552d99f · outbound

This paper cites Can large language models understand symbolic graphics programs? In The Thirteenth International Conference on Learning Representations, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Can large language models understand symbolic graphics programs? In The Thirteenth International Conference on Learning Representations, 2025

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.349677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.694663Z digest=sha256:50a9640a289cd104791665f8d5d309bcc50c79a224cf3112ce4781a12ac8adad

Observation 9b6e0e11-7438-48fc-8f18-ad4b916cac8b · outbound

This paper cites Model context protocol.https://modelcontextprotocol.io, 2024.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Model context protocol.https://modelcontextprotocol.io, 2024

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.332162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.699186Z digest=sha256:0cfdcb850e71ed966e79f1880eec31a94898c9c383ae5f5d2b11a2663166e5c1

Observation adb876e8-2482-442f-a300-898d1cb856da · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233

Reference 28

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no resolver link, observed 2026-08-16T00:15:39.704342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.704342Z digest=sha256:dc1db578a93d1cf6cfb2f134e6e63de777f505cf679cfddffac1407cffd4a6dd

Observation eb2dc289-87d9-4449-8cef-eab14477d585 · outbound

This paper cites Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 29

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no resolver link, observed 2026-08-16T00:15:39.708688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.708688Z digest=sha256:f2b79ef450727fbda310e15536010d11cf9ed72dc52615d6dd2c64c152fc4a10

Observation 8399dc7c-3084-412c-b7c7-4320e4768359 · outbound

This paper cites Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mathvista: Evaluating mathematical reasoning of foundation models in visual contexts

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.293156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.713386Z digest=sha256:1c96ad33fb359184dc1c94a40aa0e615380d2f3b2e2519d0b8c4f10a251cd5b6

Observation a5c0f8e2-759a-4af9-af1a-73e2a615659f · outbound

This paper cites Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mathverse: Does your multi-modal llm truly see the diagrams in visual math problems? In European Conference on Computer Vision, pages 169–186

Reference 31

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no resolver link, observed 2026-08-16T00:15:39.718166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.718166Z digest=sha256:d4b9ccc482fc5f9c457f694d4a89ec9ada429951f36a0762ba2cbaea49909b74

Observation 4d76f538-3876-475b-bc53-687232117093 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Image quality assessment: from error visibility to structural similarity.IEEE transactions on image processing, 13(4):600–612, 2004

Reference 32

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no resolver link, observed 2026-08-16T00:15:39.722752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.722752Z digest=sha256:68e4bda0299b77b946719fbabf12304167c05c0bc2aa06e33d1d2008d889bb80

Observation 1535c572-450f-473c-97af-b9bd62e79a14 · outbound

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

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Learning transferable visual models from natural language supervision

Reference 33

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no resolver link, observed 2026-08-16T00:15:39.727088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.727088Z digest=sha256:e1ba5956d1b60b3822290a719a8f920a4b08d2564e07671ae0fc732b5d48ecd8

Observation 65dece96-550a-446f-ae5f-fe13a0d2b7b6 · outbound

This paper cites The unreasonable effectiveness of deep features as a perceptual metric.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams The unreasonable effectiveness of deep features as a perceptual metric

Reference 34

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no resolver link, observed 2026-08-16T00:15:39.731529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.731529Z digest=sha256:787c891a65879eaec5ec97c578d3fc58396e2cb6c652990555291ff49c0cc256

Observation 3a486471-f273-4622-a5eb-76dc304e773c · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gans trained by a two time-scale update rule converge to a local nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.240667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.736055Z digest=sha256:47ee8ea183324d838b2065df9654fdd7101ebef19f5f94f7dd8cc223f5846ce0

Observation 776a754c-4728-4389-b7d4-855984ac965f · outbound

This paper cites Crystalbleu: precisely and efficiently measuring the similarity of code.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Crystalbleu: precisely and efficiently measuring the similarity of code

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.224514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.740234Z digest=sha256:ef5fcb13213d0fba0686817f15be789effae3c659e8168b8c7279b5eac1d755a

Observation ec31a96c-cc8e-4bbd-9539-61214092d765 · outbound

This paper cites Worldvqa: Measuring atomic world knowledge in multimodal large language models.arXiv preprint arXiv:2602.02537, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Worldvqa: Measuring atomic world knowledge in multimodal large language models.arXiv preprint arXiv:2602.02537, 2026

Reference 37

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no resolver link, observed 2026-08-16T00:15:39.744655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.744655Z digest=sha256:9a4d286d3241c70c567aa1bc070a5c0f3810e57fcf692f36a4a28bcdce8bf49e

Observation da202b6f-1da7-4c94-a320-da87c45611fe · outbound

This paper cites React: Synergizing reasoning and acting in language models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams React: Synergizing reasoning and acting in language models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.748855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.748855Z digest=sha256:1d88b8fda7c34ed0abd1602cb0b5ba5382af213c0e069ef6b28d2384f3511864

Observation 4525b63e-b4fa-47cb-a947-b0854873df06 · outbound

This paper cites Agentic artificial intelligence (ai): Architectures, taxonomies, and evaluation of large language model agents.arXiv preprint arXiv:2601.12560, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Agentic artificial intelligence (ai): Architectures, taxonomies, and evaluation of large language model agents.arXiv preprint arXiv:2601.12560, 2026

Reference 39

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no resolver link, observed 2026-08-16T00:15:39.753185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.753185Z digest=sha256:32569f6e2201a450671cf23f71b867e4b51dd4ce2c7eef63998df9bf55fe3e51

Observation 20fa5bf5-9c29-4049-b57c-59e2e4c84f72 · outbound

This paper cites Ai, agentic models and lab automation for scientific discovery—the beginning of scaince.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Ai, agentic models and lab automation for scientific discovery—the beginning of scaince

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.199081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.757519Z digest=sha256:fb3ee4e38527b190043176c8d30ef0f332cfb151823ca940a3b0bd520641071e

Observation d4ae037b-4a79-4418-8c7d-1241c678c697 · outbound

This paper cites Human-Centric Foundation Models: Perception, Generation and Agentic Modeling.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Human-Centric Foundation Models: Perception, Generation and Agentic Modeling

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.761764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.761764Z digest=sha256:876e6627efc3865a37496b877c83089400d085ceb14d8cfc548a51f88a1cb31d

Observation 4069ec4b-08de-4012-854e-4aafb89148dd · outbound

This paper cites BabyVision: Visual Reasoning Beyond Language.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams BabyVision: Visual Reasoning Beyond Language

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.766849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.766849Z digest=sha256:ed69979a1b199923c8dc29ebdb95918f684f6d4d098b3a3ce3b8fd465eafe9ec

Observation a9a7d833-6611-467c-8c93-d20e492c8cf8 · outbound

This paper cites Gemini 3 pro model card.https://storage.googleapis.com/deepmind-media/Model-Cards/ Gemini-3-Pro-Model-Card.pdf, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gemini 3 pro model card.https://storage.googleapis.com/deepmind-media/Model-Cards/ Gemini-3-Pro-Model-Card.pdf, 2025

Reference 43

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no resolver link, observed 2026-08-16T00:15:39.771870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.771870Z digest=sha256:13fa61f870c1f38509429ae2c58c2da042db2a1051591d137f28de8e2638b677

Observation c6a0900a-7ec2-4375-b360-943ad4962b8d · outbound

This paper cites Gemini 3 flash model card.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Gemini 3 flash model card

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.174621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.775936Z digest=sha256:91a69efb79d4cd147017a0c8776045daf786311f6d4f269b28a527616ccb7b8b

Observation 4bccfd46-5736-487f-be92-d87d36dd19cc · outbound

This paper cites Claude opus 4.6.https://www.anthropic.com/claude/opus, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Claude opus 4.6.https://www.anthropic.com/claude/opus, 2026

Reference 45

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unresolved
no resolver link, observed 2026-08-16T00:15:39.780294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.780294Z digest=sha256:55443b03e8825927ca5aa35d6915e3256272573fc5e22d5bc2b64565e16a81b1

Observation 3d9b606d-d181-4a30-b0df-9272f2ed0628 · outbound

This paper cites Qwen3-VL Technical Report.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Qwen3-VL Technical Report

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.784392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.784392Z digest=sha256:d4848b1981656c1af87c77a3b8fbfdf80157ea64328f8fd1c6152b934b17fb5c

Observation cf2cebb7-6387-43b1-8081-714af4a02839 · outbound

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

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Kimi K2.5: Visual Agentic Intelligence

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.789149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.789149Z digest=sha256:0479d4e67e8286bcb0529bf67ddb70fc09ef0ea36988b4b7e3515c1a8b8bd466

Observation 2e33362e-9e4b-48eb-8d61-b0bf437a81c7 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.793874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.793874Z digest=sha256:ba39c42b9285c0ad8106da1f85aaa83aebfce52a26227428aa8136ae9cfaae05

Observation c39d21aa-0f51-4c7f-bfc8-c90ff470228d · outbound

This paper cites Tikzero: Zero-shot text-guided graphics program synthesis.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Tikzero: Zero-shot text-guided graphics program synthesis

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.798624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.798624Z digest=sha256:d926aa63fd276ee33e7d4979a59b5869e58443ca59847006e07802fa1b30986f

Observation 155c6006-8bfc-41e2-9ae6-349badbec14f · outbound

This paper cites Nodes are early, edges are late: Probing diagram representations in large vision-language models.arXiv preprint arXiv:2603.02865, 2026.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Nodes are early, edges are late: Probing diagram representations in large vision-language models.arXiv preprint arXiv:2603.02865, 2026

Reference 50

Resolution
verified exact
raw_fallback, observed 2026-08-16T00:15:40.306779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.802938Z digest=sha256:b232d1599cb11f7a4336e132a7046a3b2331d7bf03615d7f3840b47f390a805c

Observation 8e0f18f3-d8a7-4b87-be26-f209824e5eb0 · outbound

This paper cites Chain-of-region: Visual language models need details for diagram analysis.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Chain-of-region: Visual language models need details for diagram analysis

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.139634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.807478Z digest=sha256:d3de872fe2145ff57c77413d22fdf60844f636536a784be95256115f7f01965b

Observation 660074a6-494c-4bd1-968d-6a984aa59648 · outbound

This paper cites Challenges and feasibility of multimodal llms in er diagram evaluation.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Challenges and feasibility of multimodal llms in er diagram evaluation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.122193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.812314Z digest=sha256:c425e079a46f3f48b2fc23afa57190d119f6d28de0664327ffcf2dbc65ecd80b

Observation 70b7d244-4df9-4108-bffb-14ece897e20f · outbound

This paper cites Ontology-driven multimodal framework for automated interpretation and description of architecture diagrams.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Ontology-driven multimodal framework for automated interpretation and description of architecture diagrams

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.107152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.816698Z digest=sha256:ec5ad597ecea367163c4ebaa1524715e269f1a01dd360b1099b9db5c8546b4a2

Observation 88db6299-79f1-4f58-bf9d-27f63ae6da70 · outbound

This paper cites Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-16T00:15:40.227093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.821216Z digest=sha256:96c6f938dc9571c9fe8d2e8a6a77ec98fe8ec9e7e945fa247797256a9724768e

Observation 842428fb-922d-43a6-9f6f-4a1d1b478694 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:41.092751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.825999Z digest=sha256:8b21d175df13c20dceb18df587c413a3de27194979aa688cee42e65b83174f03

Observation 57b5b841-6085-407c-8eca-14cd388c747f · outbound

This paper cites Editclip: Representation learning for image editing.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Editclip: Representation learning for image editing

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.077970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.830532Z digest=sha256:a721747fd583eebb38419fb268abc820e8a7fcffbb72db2aca30c658c5a88ec6

Observation 02cd9bd1-4c4c-4816-982f-06c0f493e22a · outbound

This paper cites Sketchagent: Generating structured diagrams from hand-drawn sketches.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Sketchagent: Generating structured diagrams from hand-drawn sketches

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.063143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.835281Z digest=sha256:67bfa952d0643c8dd7dfdda5863abb946a994839f1ab97a5fcdafaad2a21a27b

Observation ba70587f-41a6-41ad-ad5a-cd58e09f960d · outbound

This paper cites Davinci: Reinforcing visual-structural syntax in mllms for generalized scientific diagram parsing.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Davinci: Reinforcing visual-structural syntax in mllms for generalized scientific diagram parsing

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.049151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.839949Z digest=sha256:8d85200ff96d00440670c83f8873172d68b80035a6be0595f2724ad3c702b6a6

Observation 816f41ca-2524-4641-841f-d462a496e6fe · outbound

This paper cites Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772, 2025.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Visual autoregressive modeling for instruction-guided image editing.arXiv preprint arXiv:2508.15772, 2025

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.844759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.844759Z digest=sha256:22063fa69ef202d252dae803961b3fc8fadfcb727685fd8a0f16e0358a2b6502

Observation a8cc8fff-fd4d-47cd-abdd-a8552c521335 · outbound

This paper cites Vibe coding as a reconfiguration of intent mediation in software development: Definition, implications, and research agenda.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Vibe coding as a reconfiguration of intent mediation in software development: Definition, implications, and research agenda

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.034361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.849183Z digest=sha256:d1d7886c714344296e966a18a9d619744be37f3c56255df89230e0feb596179a

Observation 4ec62e62-c649-4504-b44f-c2a5b405cd88 · outbound

This paper cites Tikzilla: Scaling text-to-tikz with high-quality data and reinforcement learning.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Tikzilla: Scaling text-to-tikz with high-quality data and reinforcement learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T00:15:39.853657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:15:39.853657Z digest=sha256:c695039c93455046f7c92b5687be3608f29202035a433558d5ad726a140cf175

Observation 0b75774d-ab27-4065-b74c-870e3d6d533b · outbound

This paper cites Mathcoder-vl: Bridging vision and code for enhanced multimodal mathematical reasoning.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Mathcoder-vl: Bridging vision and code for enhanced multimodal mathematical reasoning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:41.019326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.858051Z digest=sha256:dbfce03b24c0c04b3e4f3b1c74028fd90d5ee478478e934d35171b5bf0721c8c

Observation e11b5467-029b-483b-bcc5-971a6f4f0064 · outbound

This paper cites model-in-the-loop.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams model-in-the-loop

Reference 63

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T00:15:41.003991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.862526Z digest=sha256:e2d15a39b8a0d85bc05ff3c840d3d88dba09512e8e13f8d5c2d3bcfa88325229

Observation c871679b-e92f-4098-8e8e-1cdc70596e97 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:40.989365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.868955Z digest=sha256:6506f5a98f112c489b2a8619ffc31eeee0cd9f54e22f7e15116d5d443a84b43a

Observation 912540bd-57ad-4d46-bb88-d90ea4daf549 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:40.973515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.873400Z digest=sha256:d11a1bfbdc08a4eecaa3447fab3fff51e47c2065d2caa8a97cb548dd70a4f4c0

Observation 02a3b5a5-cb30-47b2-ad9a-38dd27243ba2 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:40.957877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.877887Z digest=sha256:9038822e1411bfe87c96de8df62e452a994e279d7efcba886799444f3143436d

Observation 1fb52452-e09a-4548-bb17-3c41421a66a7 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:40.928644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.887403Z digest=sha256:ce1da75e2499ba39a00591646f2a24b58e9ba035f202630ce0dea554a50b4319

Observation bd8722c4-358d-4115-a6c0-852361b27eea · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:15:40.913655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.891571Z digest=sha256:f1053d70c7b13e564f91c2a22ebd3023205d230bcb8cc6d6e25c323d72a6b385

Observation 37760ecd-9207-4410-839e-a9a125c89497 · outbound

This paper cites Before writing code, analyze the image systematically.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Before writing code, analyze the image systematically

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:15:40.898379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-16T00:15:39.896041Z digest=sha256:488f8eaa012318ef27997b198a5b4e727b13512857fd93520b5eaf68b6dc6851

Observation 76ce98ef-fe33-4a3d-ae6f-fe8f5d555ece · outbound

This paper cites Start from\documentclassand end with\end{document}.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Start from\documentclassand end with\end{document}

Reference 71

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 758113d0-223a-490a-aa2a-39681bec1417 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 72

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5899033b-ec82-440e-9fe7-e8c86d10fa08 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 73

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3b372fa7-c82e-49e2-ba7d-0a5ed1ee6ba6 · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 74

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c043988e-5314-424b-9b7b-f0340283c63d · outbound

This paper cites an unresolved cited work.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams Unresolved cited work

Reference 75

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation b52d8d9b-4671-4a6a-a3f7-581f33b25906 · outbound

This paper cites addplot bar chart stacked.

Diagram-MMU: A Multi-Modal Benchmark for Scientific Diagrams addplot bar chart stacked

Reference 76

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Pith citing papers

No inbound Pith citation observations are available.