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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2507.10787.

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

pith.paper-citation-record.v1
2507.10787 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:31:07.640675Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:30:31.136261Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:30:31.307464Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b99363ea-4eba-4f45-8a31-618e557dfc7e · outbound

This paper cites URL: " 'urlintro :=.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers URL: " 'urlintro :=

Reference 1

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no resolver link, observed 2026-08-06T17:31:04.323749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.323749Z digest=sha256:f373a9e77cd20bf2d2c556e8b310e6fb3d146d1cdf1533173bb3811ff9e38331

Observation 22b8ac64-78bb-4577-b208-90f9b3d57665 · outbound

This paper cites write newline.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers write newline

Reference 2

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no resolver link, observed 2026-08-06T17:31:04.368718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.368718Z digest=sha256:424b43fc9c4cb032dbbde096f72a5a3827b1d628b3f43b6b9d084f54c60aee9a

Observation e5a9c3f9-7ae2-427f-ad34-0a138b266a2c · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 3

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no resolver link, observed 2026-08-06T17:31:04.449817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.449817Z digest=sha256:ecd9024366be89ba93ebfd88f7642aa9c14a6e08b4461c7a1c461f1fb281ea45

Observation d0c3f4d7-8bda-4bd6-81b4-977f313e3971 · outbound

This paper cites Pixtral 12B.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Pixtral 12B

Reference 4

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no resolver link, observed 2026-08-06T17:31:04.531326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.531326Z digest=sha256:29a264d82de8bc5563718947f0912b546217ad9c9d466688cbc89b24e1798b99

Observation 10d16190-e8fe-4758-a848-72eb3ad647f2 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-06T17:31:04.618409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.618409Z digest=sha256:56b1977963a43e5175fb6b181eef6f6aa02e15076539d3e9c5f4fe90c0edc130

Observation 8796e80b-e594-4dfc-b3ae-fb429502f2b2 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T17:31:07.915627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:31:04.700004Z digest=sha256:57303c62863bae0706da9a08b868ddfbdb482c3f3879df459461f40417de970e

Observation c80a5182-77eb-4fdb-a94a-293e18d099f3 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 7

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no resolver link, observed 2026-08-06T17:31:04.765970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.765970Z digest=sha256:a9578cd821e09327d2cca754c1351545d48a69a8f92a5a94ee657b07461d89c4

Observation 6c9aea2e-7410-445c-bd98-77cece668d73 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 8

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no resolver link, observed 2026-08-06T17:31:04.848240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.848240Z digest=sha256:a8a4ba028a57877e37d4fdb43615bac0d532d06cc35ab5802e7d32a8d5f41946

Observation 2a2f54cb-e7dd-42e1-a323-b373eb3fdae1 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 9

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no resolver link, observed 2026-08-06T17:31:04.922812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.922812Z digest=sha256:462ea1405921ff5c6240e6d74fe0919c924f948178753633a1a9c83f87b651af

Observation eb287d19-60e0-4833-bc07-d339cb19759a · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 10

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no resolver link, observed 2026-08-06T17:31:04.978209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:04.978209Z digest=sha256:30d8445c053e1081d992ab0d52d910ac4bf7962533ac34ab041abb3eab1b375e

Observation 2ecd8669-a16f-498e-b133-1fe15789f6cc · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 11

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no resolver link, observed 2026-08-06T17:31:05.069827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.069827Z digest=sha256:253718d9d48478fb712eb9145ffa1062392908c3042ec23bb7d51fa4208f34ea

Observation 01f40b6c-1388-4925-935b-3c80a3c64945 · outbound

This paper cites Smith, and Matt Gardner.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Smith, and Matt Gardner

Reference 12

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no resolver link, observed 2026-08-06T17:31:05.124722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.124722Z digest=sha256:f7bec425e48259c67d2c3bbbb6393c4e5b18db40134fc988bf6efcca31656d3a

Observation ba029efd-9a29-4598-842a-ecdc1239bbfa · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-06T17:31:05.179283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.179283Z digest=sha256:4c39766000bac8aa4914cd213ff5dab955554d77713b1a7f2b424ce3d0b27a64

Observation ae6f7e57-0837-4593-90c2-e9a1119cd005 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 14

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no resolver link, observed 2026-08-06T17:31:05.239219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.239219Z digest=sha256:af0714bb51bacc8d5394b4d3fe4c9665916d2a5d1ca3a9cb1dab6fbe9c728224

Observation 334e95ce-cf68-4d40-b4cb-ef0ce284bd34 · outbound

This paper cites Mistral 7B.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Mistral 7B

Reference 15

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no resolver link, observed 2026-08-06T17:31:05.302054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.302054Z digest=sha256:43c8bd597f4a34bba2bb2f67b99753eeb5b3b7972ae6f3824d34ccb4b993534a

Observation e7f99c1a-1018-4d7b-bff9-8b28c0c992df · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-06T17:31:08.425295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:31:05.371769Z digest=sha256:0c573fb0e8581dd132492820bbbd0f6a0cce36e9ad8f74603e738cd71481455f

Observation 1d59d37e-19a2-4f80-9f12-16762b631892 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-06T17:31:08.411100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:31:05.430239Z digest=sha256:38977b7765e52d8fe1b958debf3c37f808d0d91544b4b9366ef7f6a3b1d55a6f

Observation b5e4b3d7-6af4-49fa-8111-1af61f880c86 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-06T17:31:05.509779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.509779Z digest=sha256:593afb62a0be31f416b8a87cbfc657662fcb02fd5ac2ab8fb1f6e59162fb842d

Observation cdb25fbd-cde1-407a-9467-8abdd9faef52 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-06T17:31:05.593337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.593337Z digest=sha256:547d9fe42dcef33cadc432bf7d2a2c007a397951a295619f1c222114cee74830

Observation c8a5e407-34d7-4780-8eaf-88fd4a99f7d5 · outbound

This paper cites Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models

Reference 20

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no resolver link, observed 2026-08-06T17:31:05.650761Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.650761Z digest=sha256:9b3e3960fb3d657a5e06d38e5042c3467bd05890c47ba1f2c9a93429b147bf2b

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

This paper cites MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding.

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

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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:d219350be85116f2c86cdd74f07fcdf3e83a1fa61e78a7ec524bfcc54c730e81

Observation 3eb3f74c-c218-4016-a650-a18040ae32b7 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-06T17:31:05.826505Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.826505Z digest=sha256:82408c01de6da957453cc27c1e0c76111c7640651ba24f616ea975671080e8a7

Observation b24dc2c8-4c71-4aa0-9aad-a0637e9209e8 · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.896510Z digest=sha256:1f4771561fa10b156b556a6d84c2c5790f46725068ed529ab6bf25329073521d

Observation 25142980-5bc6-4eb2-b329-93ce83754834 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 24

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raw_fallback, observed 2026-08-06T17:31:08.388176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:31:05.964673Z digest=sha256:ca27db924303a58ae054a97b5e8ba62b567be57fc36978ef322b038d229ba2ac

Observation 382fc33b-16e6-4699-aaba-acd5827d985f · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-06T17:31:06.049930Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.049930Z digest=sha256:edfb388c4b94af7e46bf8bd5c3b4c01b2a8ee21c37f1336b29c6bb3b69f37394

Observation 71bd2513-1153-4eab-b086-c74f2c90175a · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-06T17:31:06.136390Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.136390Z digest=sha256:85391b136303ca72a3a092f9ca734d92b8cb6de081e738dbc96be6f1e28f8de7

Observation bb40fc52-03d6-4547-9925-b7af17cad8d1 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-06T17:31:06.217193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.217193Z digest=sha256:087924fe97b1111e63faa176c8519b089e53b8767e8c6495d8cee6e29f931ad4

Observation 6c352d2f-aa14-4ffc-a768-154632781046 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-06T17:31:06.304628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.304628Z digest=sha256:f2e5f5a6a009c5a0fd32fe584a85db2cfae1186903cacd4cceb1bb27dbe10bf5

Observation 6275a39d-90ca-4360-87a1-9d12b2d43538 · outbound

This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers SQuAD: 100,000+ Questions for Machine Comprehension of Text

Reference 29

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no resolver link, observed 2026-08-06T17:31:06.331385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.331385Z digest=sha256:a1e379f5b63cfa05e6ab5e755b635254793f673f58e923cb323edaab33b23429

Observation 1191d5ff-83d9-4e54-a420-914825945272 · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 30

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verified exact
doi, observed 2026-08-06T17:31:07.848985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:31:06.420771Z digest=sha256:63ef5b001a068c2673ff506469ce971d000ecb0d7aa728ee36d9ffbdac066b4a

Observation da3d9eed-3254-4b24-94c5-9dc8ff57d16a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

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no resolver link, observed 2026-08-06T17:31:06.587372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.587372Z digest=sha256:a519821940e746d0d119a65abf1adfb3a407b2188af74dfb9f5161c6e453c3e3

Observation d7e8f31e-7830-455b-b15c-479061fff83a · outbound

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

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification

Reference 32

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no resolver link, observed 2026-08-06T17:31:06.719392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.719392Z digest=sha256:0ddb072b630602dfffd82fcabae61a0dd913f18054ccef9fcd809e8d39328569

Observation a08a52fe-df0c-4079-b01b-81d1fc293408 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 33

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no resolver link, observed 2026-08-06T17:31:06.846126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.846126Z digest=sha256:e2bea3fa5a010e1146ac6a06eebb276b0d27dac2ee7c772c206892970b68ce99

Observation 25ae9e10-aa6b-45d5-90ff-4765489183a7 · outbound

This paper cites CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 34

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no resolver link, observed 2026-08-06T17:31:06.931509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.931509Z digest=sha256:fcde03ff53f58138f0914ffe3d8fe23c17fa6748a2dae088bce48d049f06412d

Observation 36f04ad3-bf4c-4a99-8588-f4fc60c3fc6b · outbound

This paper cites Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Can LLMs Identify Critical Limitations within Scientific Research? A Systematic Evaluation on AI Research Papers

Reference 35

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no resolver link, observed 2026-08-06T17:31:07.060555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:07.060555Z digest=sha256:717f281800f75fdbd88835f432a890f464ac1642219e8bd98f4b802b4f12c5cf

Observation efda6167-a745-4e83-a8d0-db77df776e65 · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 36

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no resolver link, observed 2026-08-06T17:31:07.197864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21d1c6a6-bd64-4f82-866a-66be6cb485c1 · outbound

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

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T17:31:07.341130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:07.341130Z digest=sha256:499f4e9b2d29a96da5f80f38fdb8a8bff2dce0e766538cd24e0b804f101fcef3

Observation 97a6cfaf-e4f6-460f-89ee-bf1172063639 · outbound

This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T17:31:07.461658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:07.461658Z digest=sha256:832e5a0bc63722515297387477efd47dbba5a981fde9e00eaf65a1a2c061925b

Observation abf220af-2417-422e-a176-c5b2eeabcc1c · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:31:08.345290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T17:31:07.560041Z digest=sha256:fd1be1218750e95e123ae57e446114c0b3c3d58cf4621eb8e4510d2d323a5748

Observation 39fcad47-da71-48c5-9064-ca3947aff16e · outbound

This paper cites an unresolved cited work.

Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T17:31:07.640675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:07.640675Z digest=sha256:6f9448d49b6cd75691aefc2db6b621919d51bfba9e6a3e0aaa0e5c9954a7812e

Pith citing papers

Observation ead4df80-43c5-4fa2-9cd1-94d2e2f83fb5 · inbound

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research cites this paper.

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:30:31.315034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-06T16:30:31.136261Z digest=sha256:2899c065ca704a8cbe70deb2f055648c0a334f1bdab0cc8a6bf3cef25c2fa008

Observation 3cb0960e-baa3-40ee-8dd8-6a12d855d23e · inbound

Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientists cites this paper.

Querying Multimodal Scientific Papers with AI: Practices and Preferences Across Blind, Low-Vision, and Sighted Scientists Can Multimodal Foundation Models Understand Schematic Diagrams? An Empirical Study on Information-Seeking QA over Scientific Papers

Reference 59

Resolution
malformed identifier
no resolver link, observed 2026-08-01T15:17:47.809683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:17:47.809683Z digest=sha256:b1e8972e95d1d432b018a9a5705b545a8cd3e09cf74e2678b8d536047f5bbc52