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Paper Citation Record · LEDGER

MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2407.04903.

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

pith.paper-citation-record.v1
2407.04903 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:26.357617Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8c580bf8-df7e-4853-b7b1-80029ad5a90b · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-14T00:51:48.362977Z

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=arxiv_source observed=2026-05-14T00:51:48.163349Z digest=sha256:b40d0f93f4e582cb7daf830bfa108b8fce7ba941a3a230f3a7a7acaeb38243d4

Observation 54347ef9-faaa-4d39-a1e9-8726e2b5d4c3 · inbound

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation cites this paper.

Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:09:16.178715Z

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=2026-05-15T22:09:16.001309Z digest=sha256:7d11d11be7f12dcd98c8f1dc0052b0067f3a7b6d7efb160394e886fe18473812

Observation 55e3373b-03ed-42e5-b595-7aac466d4c67 · inbound

Probing the limitations of multimodal language models for chemistry and materials research cites this paper.

Probing the limitations of multimodal language models for chemistry and materials research MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T12:45:35.623136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:45:35.623136Z digest=sha256:006d062ff3b273c5e23ae5b90bc2aaf7745bbe3cbff0126b796eff89db7e89b1

Observation 4eda8e9c-c886-4254-a71d-24491027ff13 · inbound

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? cites this paper.

ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation? MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T23:36:24.722836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:36:24.722836Z digest=sha256:c6dff1f723bccd28dde2151cb1388c7da3ec9acd34d597068083cf14e7a7a3f2

Observation 0f42b6d7-00dd-4dcd-8bb6-d209de413252 · inbound

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:09:24.091066Z

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=2026-05-11T10:09:21.542356Z digest=sha256:95acf0dd60751c895558379de99e12d59d980029a0aaed1ac8abbdac47659e65

Observation 2489de6a-f9c4-427b-9473-adc580be0b82 · inbound

Towards LLM Agents for Earth Observation cites this paper.

Towards LLM Agents for Earth Observation MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T12:40:26.357617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:40:26.357617Z digest=sha256:626db915585a32a066c90a5aaa08ca61fe72015c766eb3825de04a84435ae857

Observation 451c8672-784e-4d15-b39d-e1cb7520041d · inbound

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science cites this paper.

Seeing Beyond Words: MatVQA for Challenging Visual-Scientific Reasoning in Materials Science MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:37:30.116405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:37:30.116405Z digest=sha256:68930a33fbef766c86e7c1dcdcc745479f9636909dfc20eb4a19b86ae20a25f9

Observation c09d4d88-31f1-4817-9caf-f1aedb27b875 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 147

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:20.313700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:20.313700Z digest=sha256:55f5afcb52965cf43195a1b50ccacb476029584a36e2bd3d6e05a5b9c6a77ffa

Observation 1b0201bf-82ad-4f37-8f8c-ec1b2b71e205 · inbound

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? cites this paper.

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:19:00.785276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:19:00.785276Z digest=sha256:dafc8fdd195d918e53c52758a11f1a767e9d025d216dd6b15193b10af63366a1

Observation 662302a6-3cc6-4afb-af56-568be8b12d6c · inbound

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification cites this paper.

SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:03.310148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:59:03.310148Z digest=sha256:9cdd7b2ebe48eb98dcbbc770fe880a21187b7d486d0ab94a8a4ead3d1f09d5a1

Observation f61fe60b-ae05-4582-862e-9f6267d84794 · inbound

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers cites this paper.

SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:02:07.397787Z

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=2026-05-19T05:59:59.221804Z digest=sha256:e438d3b6581fd22da15817b88a680b932a14b498180d57ef0457e2ab3e56c1f0

Observation 044ab6aa-2244-4981-92ce-04b773551df5 · inbound

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers cites this paper.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T17:31:05.740970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.740970Z digest=sha256:75cecb6924eb1d36a76d13933f65476b9483e9e44de97f54625202a1841d40b8

Observation 706878e2-44ca-45d6-80b3-9415bac87bf2 · inbound

UniEM-3M: A Universal Electron Micrograph Dataset for Microstructural Segmentation and Generation cites this paper.

UniEM-3M: A Universal Electron Micrograph Dataset for Microstructural Segmentation and Generation MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T17:33:48.562823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:33:48.562823Z digest=sha256:5f90dca84b3897a8dd2f918229d07f4aad99bd6648edcfd19657d07e1eb14e63

Observation 4241a15d-582b-4c18-aafa-a8dd0b191c77 · inbound

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models cites this paper.

GENFIG1: Visual Summaries of Scholarly Work as a Challenge for Vision-Language Models MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T16:48:03.187477Z

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=arxiv_source observed=2026-05-13T16:45:17.022062Z digest=sha256:e94df432a9551423531bb6e47d1236a2c1cc7067d729dce47f0fbe8656419d8c

Observation 7f8bee6e-1b8d-43b9-baf4-186ede224495 · inbound

SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection cites this paper.

SciFigDetect: A Benchmark for AI-Generated Scientific Figure Detection MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:25:57.739249Z

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=2026-05-10T17:39:49.848699Z digest=sha256:cd8a772542642257419c29a1bdf521b7d35d2b73ff9acfa669f2a1ac1e03e249

Observation f580ae4d-a537-42ed-94cb-ee6e016c79c2 · inbound

SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation cites this paper.

SD-GRPO: Verifiable Segment Decomposition for Long-Form Vision-Language Generation MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:56:28.805174Z

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=2026-06-28T10:32:39.790036Z digest=sha256:003b370575202f43ad9f347ad378db83576c76f75820b1fc2fe290ff36f4ba78

Observation bb637d1a-03a8-412a-8277-88385e029a13 · inbound

A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communication cites this paper.

A Multimodal Reasoning Typology for Grounding Chart-Image Coherence in Science Communication MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-07T22:54:09.710900Z

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=2026-07-07T22:49:39.094651Z digest=sha256:a8190c5b1ecc913d98a51c2d89146a6ae63ffa12b6f38db0bc8b5c1ea79d65b0

Observation 68684342-2ccd-423a-8d3f-f8a201389043 · inbound

SciForma: Structure-Faithful Generation of Scientific Diagrams cites this paper.

SciForma: Structure-Faithful Generation of Scientific Diagrams MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T16:12:23.693267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:12:23.693267Z digest=sha256:b629967f58ead648ffd207794d188fd59b08869d5edbbab7c1c4abe38a35803f

Observation d803af63-c6a4-4d9b-bf02-f75d5e2ae365 · inbound

MMArch: Benchmarking Multimodal Reasoning Grounded in Architectural Evidence cites this paper.

MMArch: Benchmarking Multimodal Reasoning Grounded in Architectural Evidence MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T20:18:32.657129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:18:32.657129Z digest=sha256:fa9ba8da78e52ca4148518258a813c0d94afb577a91974fb4cc27b537a0154b7