Paper Citation Record · LEDGER

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models

As of 20 August 2026, this Paper Citation Record lists 100 of 205 outbound references and 2 inbound Pith citation observations for arXiv:2506.12958.

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

pith.paper-citation-record.v1
2506.12958 v2

Coverage vector

measured 100 of 205 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:42.008599Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T00:30:00.449270Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.515159Z

Reference resolution

100 of 205 outbound references displayed

verified exact3
verified fuzzy0
unresolved96
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 22e77fb1-afc9-447b-ad28-c2aa00bf703f · outbound

This paper cites GPT-4 Technical Report.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.615536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a72d66f-913d-4913-b4fd-347fd990f34d · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.620839Z

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Observation fc12aaa7-ac0a-4015-9df2-edbde6fc0274 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models On the Opportunities and Risks of Foundation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.625249Z

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Observation 2713e6d7-e1c5-4ab0-8c91-1be92280ff06 · outbound

This paper cites The Llama 3 Herd of Models.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models The Llama 3 Herd of Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.629791Z

Source-reported events for the cited work

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Observation dab422af-0405-4654-a183-5bb34a8b6071 · outbound

This paper cites Phi-4 Technical Report.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Phi-4 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.634680Z

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Observation 2d5ec7c9-4c18-4cc9-ac07-9ff8ff0158c0 · outbound

This paper cites Islam, A.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Islam, A

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.638742Z

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Observation 2e1fe199-bb2d-41af-97c4-c0f839cd60d5 · outbound

This paper cites Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Top General Performance = Top Domain Performance? DomainCodeBench: A Multi-domain Code Generation Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.642717Z

Source-reported events for the cited work

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Observation 12671620-04e8-46cb-b642-1c477a68f677 · outbound

This paper cites MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.647061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 896f59b5-69ca-47b5-a9eb-80e6d851d4c7 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.651400Z

Source-reported events for the cited work

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Observation e5c6c6a6-9ccf-49b2-9f0d-8b1301c63d1e · outbound

This paper cites Kernan Freire, C.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Kernan Freire, C

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.655386Z

Source-reported events for the cited work

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Observation dd1fd5f1-5b1b-4920-ae13-1bda3c35e56d · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.659215Z

Source-reported events for the cited work

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Observation 73e3fb07-81fa-4fd3-b35a-81b054ecfbed · outbound

This paper cites FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.663250Z

Source-reported events for the cited work

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Observation 9fdfcfdb-258b-47a6-8e08-62b3f0b30309 · outbound

This paper cites Fakih, R.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Fakih, R

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.667570Z

Source-reported events for the cited work

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Observation 25ca9dca-1ffa-4aff-809b-27353d0b0d36 · outbound

This paper cites Tizaoui, R.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Tizaoui, R

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.671793Z

Source-reported events for the cited work

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Observation 5a0e13cb-75f2-42cd-bfc2-6b2335e1a9d8 · outbound

This paper cites Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.676164Z

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Observation 05d52643-c9e0-42da-b3e9-9c86aff446f2 · outbound

This paper cites Ogundare, S.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Ogundare, S

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.679893Z

Source-reported events for the cited work

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Observation b9dafaaa-0960-46f5-9b17-3d146a08ea74 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.683409Z

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Observation 7cb939d5-6d1e-4d3a-af26-a83d0ec9f842 · outbound

This paper cites Large Language Models for Supply Chain Optimization.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Large Language Models for Supply Chain Optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.686873Z

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Observation 63640395-7108-44df-8b52-f090b168807f · outbound

This paper cites Raman, A.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Raman, A

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.690624Z

Source-reported events for the cited work

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Observation b424281b-a063-4232-949d-841fb688cb6f · outbound

This paper cites Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.693989Z

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Unavailable: canonical work link unavailable.

Observation 0c13e9a4-b54e-4bbd-97a8-2a3e11e63f50 · outbound

This paper cites bench authors, Beyond the imitation game: Quantify- ing and extrapolating the capabilities of language models, Transactions on Machine Learning Research (2023).

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models bench authors, Beyond the imitation game: Quantify- ing and extrapolating the capabilities of language models, Transactions on Machine Learning Research (2023)

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.697905Z

Source-reported events for the cited work

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Observation 47aa9c45-576d-4b16-8f9c-02610589c765 · outbound

This paper cites Tracking the Moving Target: A Framework for Continuous Evaluation of LLM Test Generation in Industry.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Tracking the Moving Target: A Framework for Continuous Evaluation of LLM Test Generation in Industry

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.701052Z

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Observation 45969fe8-4c72-4500-9457-8a31e174c01a · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.705145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b743598-c7ce-4dea-8175-0ada8e673ef5 · outbound

This paper cites A Survey on Large Language Models for Software Engineering.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models A Survey on Large Language Models for Software Engineering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.708804Z

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Observation cc39fc4f-2268-4700-b4e3-773a03027744 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.713136Z

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Observation 7ee961ce-1b53-4b12-a41e-1fa960769104 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.717289Z

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Observation d35071e2-6a71-4045-afaa-bd7f04821575 · outbound

This paper cites Do Large Language Model Benchmarks Test Reliability?.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Do Large Language Model Benchmarks Test Reliability?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.721221Z

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Observation 17853490-1b3d-4947-a2fe-55801a832645 · outbound

This paper cites Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.725446Z

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Observation bb7f8507-1658-4704-845c-110ed6a0b86d · outbound

This paper cites TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.729658Z

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Observation 17eb8b0d-4c3d-43df-a02b-1b633efb8d05 · outbound

This paper cites Xiong, F.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Xiong, F

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.733804Z

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Observation 6d95f1cf-d097-4862-953f-7717116ca134 · outbound

This paper cites Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Good at captioning, bad at counting: Benchmarking GPT-4V on Earth observation data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.737914Z

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Observation eeca5cda-ba16-4d8f-a648-34cd90fe1baf · outbound

This paper cites STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.742261Z

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Observation 5b9f2c1f-ef36-4b4d-b51d-6a480b1277d6 · outbound

This paper cites Sapkota, R.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Sapkota, R

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.746251Z

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Observation cf07693c-673d-4c7d-b64e-d7774d47fbc0 · outbound

This paper cites GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.749497Z

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Observation 015b86be-6aba-4bcd-b163-d57f470b86b4 · outbound

This paper cites Roberts, T.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Roberts, T

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.753415Z

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Observation 34c328bb-c4b8-44cc-a63f-6325c4738d5e · outbound

This paper cites RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models RSUniVLM: A Unified Vision Language Model for Remote Sensing via Granularity-oriented Mixture of Experts

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.756940Z

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Observation 0ae8ff29-4cde-422d-9dc3-fd203fb620dc · outbound

This paper cites INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models INS-MMBench: A Comprehensive Benchmark for Evaluating LVLMs' Performance in Insurance

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.760849Z

Source-reported events for the cited work

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Observation fd27debd-ccab-4ec9-92b2-ad2e80910fd5 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Measuring Massive Multitask Language Understanding

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.765231Z

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Observation ac4b8cd4-8a23-424e-9d88-6719ffc816ec · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.769927Z

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Observation bfc5a169-50ce-4d1c-a3ec-7ea13cd751fe · outbound

This paper cites IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models IsoBench: Benchmarking Multimodal Foundation Models on Isomorphic Representations

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.773291Z

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Observation baa06e3f-ace0-4e5d-a9bd-4ce2120fd3b3 · outbound

This paper cites VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models VisScience: An Extensive Benchmark for Evaluating K12 Educational Multi-modal Scientific Reasoning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.777416Z

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Observation b036bad6-e0c1-4035-8597-db4a9a169700 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.781930Z

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Observation 662fbc80-6ba8-4a53-b9e9-fa7625348af0 · outbound

This paper cites Anand, J.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Anand, J

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.786215Z

Source-reported events for the cited work

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Observation 459e5491-99e7-4447-84c4-e24d25bb03ee · outbound

This paper cites Are large language models superhuman chemists?.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Are large language models superhuman chemists?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.790176Z

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Observation 76e129ff-fae7-4056-b42c-d2b49e42a482 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.793728Z

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Observation 163d8c6b-3890-4bb6-996f-6c7ca2aeb36c · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.797220Z

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Observation 0575fa89-83cc-4a9d-93c6-9b3f9879ba57 · outbound

This paper cites LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.800506Z

Source-reported events for the cited work

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Observation 2f3217dd-187c-45ef-a60f-244cc6f64d7f · outbound

This paper cites MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models MaScQA: A Question Answering Dataset for Investigating Materials Science Knowledge of Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.803960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 876bb9b6-fd8a-4277-b1b4-f02d497effad · outbound

This paper cites LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models LLM4Mat-Bench: Benchmarking Large Language Models for Materials Property Prediction

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.808360Z

Source-reported events for the cited work

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Observation 406b8ac6-39e1-4b40-b5df-853c56e65809 · outbound

This paper cites PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.812250Z

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Observation d6541dfb-3b14-4440-bd58-ac9be06d78d7 · outbound

This paper cites DrugLLM: Open Large Language Model for Few-shot Molecule Generation.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models DrugLLM: Open Large Language Model for Few-shot Molecule Generation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.816638Z

Source-reported events for the cited work

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Observation 3eb95384-25ce-4589-b119-8b09891e2168 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.820824Z

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Observation 415390c2-1227-465c-a149-c8999ed55dd9 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.824182Z

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Observation 93e70b19-314a-48b5-acf5-924ffa0a41da · outbound

This paper cites WeatherQA: Can Multimodal Language Models Reason about Severe Weather?.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models WeatherQA: Can Multimodal Language Models Reason about Severe Weather?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.827755Z

Source-reported events for the cited work

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Observation 41ddf636-1a72-4f42-96eb-c37e8d8960f4 · outbound

This paper cites CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.831109Z

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Observation 486c1bb9-f746-4797-84f8-7a75078d10f1 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.834875Z

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Observation 3f31b45e-c978-44a9-b2c7-21cf96fea40b · outbound

This paper cites DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.838053Z

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Observation 2cc6b699-4760-4877-b558-46206ff6317c · outbound

This paper cites VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models VayuBuddy: an LLM-Powered Chatbot to Democratize Air Quality Insights

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.842241Z

Source-reported events for the cited work

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Observation 6c9f8696-69cb-47b7-a1e1-b90cfe7cac76 · outbound

This paper cites Pafilis, S.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Pafilis, S

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.845914Z

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Observation 9eb06b2f-9f5f-4d75-85f6-9c591c69a61d · outbound

This paper cites Abdelmageed, F.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Abdelmageed, F

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.849964Z

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Are We Done with MMLU?

Reference 61

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Observation 2152909a-75c5-43c6-a38a-7605a0e9bed3 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 62

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Observation 69fbe33a-b4be-4c9f-805d-4e5daa08b57d · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 63

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Observation dcd02d8a-d1de-4d28-aacf-f6280cf63d25 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 64

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Observation 8df08264-9de2-4a25-9421-78599b826a8a · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Edwards, C

Reference 65

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Observation c85c5585-2d02-4e62-83a8-08718fe9be40 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 66

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Observation 29ea0a6b-e898-411e-ad3f-02daf9765111 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Davies, M

Reference 67

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Observation d09c6ae9-ac48-4e4e-a5fc-94a52fb674a1 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 68

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Observation f36fd6d9-a808-4022-af84-409d5deabdbc · outbound

This paper cites ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 69

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Observation fcbc7896-1894-40fe-b9dd-46279ab48d66 · outbound

This paper cites Sachdeva, N.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Sachdeva, N

Reference 70

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Observation 583c3fae-d05a-4577-b23f-b0ebfb43c860 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 71

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Observation 87d2ce94-80e9-4f9f-84f4-36e3d86f93aa · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 72

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Observation 10caa8a0-72a9-4ec0-98a5-e370804464e0 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.902404Z

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Observation ec9c7d18-c642-40cc-8285-665c74826ec4 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 74

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Observation 5455bd5c-2f4d-43bb-a23f-b15c5e66c49b · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 75

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Observation baec2d01-64f0-431e-9c3b-1387ed1e70d7 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 76

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Observation 0caf4c69-bfbb-473c-a4b0-3963e0ca5858 · outbound

This paper cites Malla, C.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Malla, C

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.918902Z

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Observation c9162ea3-2b41-4700-ba06-e3dfa2ae021f · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 78

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Observation 63c4f861-85b8-434c-87bf-7574c59db5c1 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 79

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Observation c4ab97bc-27da-4f8e-9709-5ffd9cff91f4 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.931577Z

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Observation 13e19500-827b-4e73-9199-aba13927bfa1 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Language Prompt for Autonomous Driving

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.935007Z

Source-reported events for the cited work

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Observation dd094b8a-70e8-4055-978a-0dea2ce54259 · outbound

This paper cites Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.938501Z

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Observation 996de77b-5907-42c1-86da-fd6bac78b1a6 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.941957Z

Source-reported events for the cited work

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Observation 7dd2f9f2-e621-41c1-a09b-05ad1de09f48 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.946070Z

Source-reported events for the cited work

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Observation 1a3b0867-df9e-4ef7-9dcf-32fde5867a49 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 85

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Observation 2c5e8517-ba74-46e8-a590-7cff7c738c7b · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting

Reference 86

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Observation e6879f06-fd77-45b5-a5d3-6705c5f77814 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Exploring LLM Cryptocurrency Trading Through Fact-Subjectivity Aware Reasoning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.958895Z

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Observation bb59d99e-d90b-4048-864e-43c08836a429 · outbound

This paper cites Large Language Models for Blockchain Security: A Systematic Literature Review.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Large Language Models for Blockchain Security: A Systematic Literature Review

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.963490Z

Source-reported events for the cited work

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Observation ff40ad15-0fd6-4ffb-b399-4d85b0dd2199 · outbound

This paper cites Large Language Models in Cryptocurrency Securities Cases: Can a GPT Model Meaningfully Assist Lawyers?.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Large Language Models in Cryptocurrency Securities Cases: Can a GPT Model Meaningfully Assist Lawyers?

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:39:43.636560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 63d28df8-52ec-428a-852e-e42117a0f360 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 90

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Source-reported events for the cited work

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Observation 454c4815-e6e7-4b6b-a6d9-fcc3d40cc7c8 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.974138Z

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Observation 7d63b3f8-0a63-489c-8ce9-aebedf8a93a2 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 92

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Source-reported events for the cited work

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Observation 756b38bf-bb3d-4f4e-bd0e-7aed0526441d · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 93

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Observation ce57edaf-9138-4a1a-9e8a-22fb1fcea8b4 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models WHEN FLUE MEETS FLANG: Benchmarks and Large Pre-trained Language Model for Financial Domain

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.985661Z

Source-reported events for the cited work

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Observation 3cbfd683-b20e-4fe3-9865-c3d859638272 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models LogLLM: Log-based Anomaly Detection Using Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.989841Z

Source-reported events for the cited work

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Observation 9b129a3a-eb73-4630-ac44-4989b94424b5 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Real-Time Anomaly Detection and Reactive Planning with Large Language Models

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.994028Z

Source-reported events for the cited work

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Observation 83ec3f38-6365-431b-9bab-001ec26a5cc6 · outbound

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Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Zhang, D

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.997779Z

Source-reported events for the cited work

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Observation ff885e08-d07b-475e-be47-43864ae90972 · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 98

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Source-reported events for the cited work

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Observation 215976d9-09fb-4dac-9b96-68245e69699a · outbound

This paper cites an unresolved cited work.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Unresolved cited work

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:42.005109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d98513-624c-4268-8633-5f40cf866eda · outbound

This paper cites MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:42.008599Z

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Pith citing papers

Observation 203daee5-81f4-4de5-b65e-c0cebffff883 · inbound

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research cites this paper.

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research Domain Specific Benchmarks for Evaluating Multimodal Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:33:15.815319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b41655b5-201e-41b0-9551-43758eaa1c12 · inbound

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research cites this paper.

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research Domain Specific Benchmarks for Evaluating Multimodal Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:16.517228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.