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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 17 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 2026-08-16T06:30:59.297886+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:fcd1b66608c6d9e923d7c0227db86cf88c6456bbf6ce12f8267dd3f0f9b194eb

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=sha256:7986d6e72fc1e9f45c5a56ae9d90d2fad72a46ac91f2e7b19d7c8e1cea55beee

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=sha256:16df690caa80baba6db8c05f162e8e0240f8f749e46be60ab373336bacf03f4c

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:fa8ebaec4a7472badd997c27aab4b929f168094b1af81a57c4b2df41c0d5e47a

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:e7cbd1f0a7f825fe53b5e13ea40ac8647f5bdf139a4da4a5ddffdb474d4d399d

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

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T17:31:04.700004Z digest=sha256:9c9088ea2ae23031aab6098a2fb2ba662087d77f362ee9951e073cb3272c68cc

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:daf9f30a40703b7c910d9b1456af8d6df18dbbcec2531a92f58da073edc1cf0a

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:f0f5488dc35dc1a282e601e54f8f97770a47c40f86ea6c7d4f48c0c5077afb95

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=sha256:001c39de29ff1d8fe0e0b018d2e5e35a72b5476a27ad97c55d2293ee25f42b03

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:e6016770853b61dfbb82692cad9d04768c6f103b5c70be7a723eead65ebb4bb5

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:aee02f63a7ad1103baebb5339ba23130347d5cfe98117740485d877b6367f4eb

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=sha256:22ad03f08fef80b33e1c34b7968839a31d74b1e1a85859786535faefc0f7668d

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=sha256:779794d0acff4443f56d2c54bdb75472442053533c59152a64d851b2d0222091

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:bf1f306de6ed4460ea294ac95fb9f201f04e2127acbddb3ba0c416b3283eaa0e

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:ea886bda9f23363e07ba9c482f7e8a5aea2be844ee8881219f94efe484a4e4ab

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T17:31:05.371769Z digest=sha256:d76c0092ef9586a750f9fe6acf7edd779f56f82c13b86ba5fe61374edf7dbe0a

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T17:31:05.430239Z digest=sha256:74f3f515adf6cce9b221ba08e4ce6bb7b251b9d97a5269e68ef1f92f78b7ac8d

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:a5c9b6a21c3c340cd0924c915ecbaf1bfbc0e5d060de7e477532e8c4c7c12897

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:b0b01877bcd248e52ad42cf32248e45b10f57f8908d45c7e8bd5dae48967390a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.650761Z digest=sha256:824a99ec866f2a0294b63bf899b77c4b063e71e56bf2134eb0a1f43b06661e8c

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:dbdf269c0f84622137e2593764d6eceeb72afd250bad6c59d6ecb10c40450d75

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.826505Z digest=sha256:d9df7d7b2ae25218cae3a93ef7fa7afcfc42c095782633a772d839c49eb61643

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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no resolver link, observed 2026-08-06T17:31:05.896510Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:05.896510Z digest=sha256:6f28a462bfd11d2f74a5f17570110f90937db8e13ece110c7fe5be3b901a93d4

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T17:31:05.964673Z digest=sha256:2a6d9fd635724f4f7273d126d8c4de4e959c104a4c68f2cf79d6886a786499d1

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=sha256:09fb6be13ac1c45ec7fa0bc85a85636e2c963413b069c6afdf0066f5ebe52f1a

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:31:06.136390Z digest=sha256:462ab198313e8069562d85136892dfee271e427df71d9d8774190c95ad3d2cc9

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=sha256:075cb3af61c2b347651b14eabd8023dffa05ca73d1f672553633f62cffc214ee

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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unresolved
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=sha256:5898030dfbfdb2c2ea9073c499eba03d192b4fe1856aaf266df0a075c6d7eedc

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=sha256:6f711f1ee4cfe24e564cdbc17f33ac11ba3b8e64b83790c656f7f8ad38dc4cde

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T17:31:06.420771Z digest=sha256:96b5998a72aae70d57084ce40b7c2367a2e722a980ca1e0dbcb4275884fc4435

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=sha256:1a05cf82cc2d76007ae8df766712c578790a6945ffb60c79f4e30e13cd407477

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=sha256:17b7e196ddf1c5ad07e58d505d36fdda5aaa4d730e54b9e888f6de6ee0c76a41

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=sha256:39e8d770c3d25b87e27ee477b837b66b0aadbed9066ee599d036f8013b051677

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=sha256:0b705538be987731ad8fb016591a883e946dbfa9d175119b0466c537c672ebf3

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:b5e3146baa038e73270008a8811d0cd3cc36eec38bd11d6ed8a15b34c3eb91d5

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

Resolution
unresolved
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.

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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.

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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 2026-08-16T06:30:59.297886+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T16:30:31.136261Z digest=sha256:e7a2655c775f2cd96a39a984e8ce18acc0e6048c5501b4a5f28a0b6b79f25aa9

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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