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Paper Citation Record · LEDGER

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

As of 19 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 5 inbound Pith citation observations for arXiv:2509.21079.

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

pith.paper-citation-record.v1
2509.21079 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:57.243649Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T07:14:35.191915Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

45 of 45 outbound references displayed

  • verified exact4
  • verified fuzzy17
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 947a7840-e3f6-4a6b-8d50-7f731835520c · outbound

This paper cites Large Language Models for Mathematical Reasoning: Progresses and Challenges.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Large Language Models for Mathematical Reasoning: Progresses and Challenges

Reference 1

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no resolver link, observed 2026-08-15T15:49:56.903682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:56.903682Z digest=sha256:ab28fcf9a00bec6e7808c764c36cbfca05d32eeb4ee3b88ee33ed37b40563491

Observation 783eab77-5b1b-4e1b-b239-19fc4b8f9bd7 · outbound

This paper cites Qwen-plus-2025-07-28, 2025 a.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Qwen-plus-2025-07-28, 2025 a

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.162228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.909766Z digest=sha256:c630eb7da2e562ec05f7b765348aa59ce2cac7f3eb6864c2461a969e08d79606

Observation ce4c7176-68a5-4c70-873d-977e22df403f · outbound

This paper cites Qwen-vl-max-2025-04-08, 2025 b.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Qwen-vl-max-2025-04-08, 2025 b

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.147034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.914261Z digest=sha256:1c9b624c343188adb1236fd360e13de3c38731dce0bdb47249f85e3c28c484b4

Observation 06f71c86-b857-4deb-8661-241d032db927 · outbound

This paper cites PHYRE: A New Benchmark for Physical Reasoning.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials PHYRE: A New Benchmark for Physical Reasoning

Reference 4

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no resolver link, observed 2026-08-15T15:49:56.919395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:56.919395Z digest=sha256:7837aa6343363a3d31db16d620a20a57f8a6902974eb39f12882b251a2a52fa8

Observation 27b3d3fe-7956-4dd0-bcd7-401815709776 · outbound

This paper cites Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Taking the next step with generative artificial intelligence: The transformative role of multimodal large language models in science education

Reference 5

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unresolved
no resolver link, observed 2026-08-15T15:49:56.924948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:56.924948Z digest=sha256:7427ece890e961d73d2fdfb146c5224b7145b416d22e7a0230b34d53c56caf19

Observation 823d92f3-730d-4ee2-b0b9-177f0483d786 · outbound

This paper cites MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:49:57.787289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.929144Z digest=sha256:b760399925938806569cad0ba2af1412589ad4de037fcebc0475479224488360

Observation 83990e2b-8d1d-44b8-ab8b-bd316fb15059 · outbound

This paper cites Doubao-1.5-thinking-vision-pro-250428, 2025.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Doubao-1.5-thinking-vision-pro-250428, 2025

Reference 7

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raw_fallback, observed 2026-08-15T15:49:58.131616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.934726Z digest=sha256:d436edc09e0f329b9b3127bfc97703de3a022a05c23213ec9eac68164fc9a386

Observation 3ea22998-04c3-4616-811c-b5f7a81e2003 · outbound

This paper cites Official website of national zhou peiyuan undergraduate mechanics competition.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Official website of national zhou peiyuan undergraduate mechanics competition

Reference 8

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raw_fallback, observed 2026-08-15T15:49:58.117144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.939448Z digest=sha256:90dc8ffbc9c0a101d42cb9488fc6b5a9879760820a41b710c8c046bfa806044c

Observation 89e343a1-d3ce-4412-8f4d-c8bcf9916f66 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials PaLM: Scaling Language Modeling with Pathways

Reference 9

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no resolver link, observed 2026-08-15T15:49:56.944433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:56.944433Z digest=sha256:e9a0040f9e9e84783da06500d9f7b7a07c8e88989b9fef9c1533bd956e07f1a1

Observation 2ab82907-999f-4188-bb77-d8567be939cb · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Training Verifiers to Solve Math Word Problems

Reference 10

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no resolver link, observed 2026-08-15T15:49:56.949569Z

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source=arxiv_source observed=2026-08-15T15:49:56.949569Z digest=sha256:f98493e1b22ac022b6d0285aa5320ff39db99965ccf66e325511d427b8b0341f

Observation 04e34eb3-b2ef-4923-b055-82f3d3228058 · outbound

This paper cites Solutions to Mechanics of Materials Exercises: Graduate Entrance Exam Guide.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Solutions to Mechanics of Materials Exercises: Graduate Entrance Exam Guide

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.102262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.954381Z digest=sha256:4c851e94912cc65d03314d32382a391ec1af8671a17307083c99a2dc5bccf415

Observation 243be98f-093d-4ac0-8df7-c25ebd5c1a16 · outbound

This paper cites Deepseek-r1-0528, 2025.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Deepseek-r1-0528, 2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.086324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.958775Z digest=sha256:be7fa066aa2a0f135734a3c1c82ecf0227483b8d54f0aca82dbcff6809990f61

Observation f959a81f-6266-4977-bf2a-680f9a77a8dc · outbound

This paper cites DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation

Reference 13

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no resolver link, observed 2026-08-15T15:49:56.962764Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:56.962764Z digest=sha256:18a3158fb723fd02471a295fea6aa3b2988a1a2815031e3fd55dd60308f970a4

Observation fe6be0c4-4d95-4777-af9a-1bb9be4ef0d1 · outbound

This paper cites Gere and Barry J.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Gere and Barry J

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.071045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.967075Z digest=sha256:504ed0839aca936a878d8d78fca343a03a602976af8da3625eca1d2a59f6b929

Observation c4ace9cd-6205-4110-963d-bfb24c3fdb32 · outbound

This paper cites Cailiao Lixue I (5th Edition) Tongbu Fudao ji Xiti Quanjie [Mechanics of Materials I (Fifth Edition) Synchronous Guide and Complete Solutions].

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Cailiao Lixue I (5th Edition) Tongbu Fudao ji Xiti Quanjie [Mechanics of Materials I (Fifth Edition) Synchronous Guide and Complete Solutions]

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.056325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.973102Z digest=sha256:9e80108b73155c50f2f435ec3c65bf1a228ef7aa6295da0c7f4f6b65cd748225

Observation ddc2eb4c-96b9-4766-992b-70958a3ee1c7 · outbound

This paper cites Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark

Reference 16

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no resolver link, observed 2026-08-15T15:49:56.977544Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:56.977544Z digest=sha256:3fa8ed719624d201b6c187ee68e9b3a91aa27d4959ab3682e089d0e54ca91fcd

Observation 8082f805-8db6-460f-ac36-26a79a76b766 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Measuring Massive Multitask Language Understanding

Reference 17

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no resolver link, observed 2026-08-15T15:49:56.982098Z

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source=arxiv_source observed=2026-08-15T15:49:56.982098Z digest=sha256:86cac3fe3ba7a11e8729630780446d3b1de3dc9fd9f8e6ece56d1901a8667098

Observation 26f2f7e2-d642-44bd-8ee2-20914c9a1b86 · outbound

This paper cites an unresolved cited work.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-15T15:49:58.041264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.986917Z digest=sha256:06ef519236d1fd6addeda33d366f70e7cf2d24f58e7c2b9a6ab952b410a3b302

Observation 86e9f5c2-d4f4-468a-ba7a-e0bbc59981b9 · outbound

This paper cites Solutions to Mechanics of Materials Exercises.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Solutions to Mechanics of Materials Exercises

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:58.026766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.991401Z digest=sha256:273a17a0972f444f8bc15233b8230451c3da1fb68d5a45c7d06f7d25cc99b154

Observation 23590284-f222-43b2-8846-c01bed734eb2 · outbound

This paper cites Advancing bridge infrastructure management through artificial intelligence: A comprehensive review.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Advancing bridge infrastructure management through artificial intelligence: A comprehensive review

Reference 20

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verified exact
doi, observed 2026-08-15T15:49:57.317263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:56.996034Z digest=sha256:69be1b5051a37daece6ffb79b9b5fc7246a6855c4f1e17296271f5214d38874e

Observation be266653-374b-4415-9b15-43a892a8c35e · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Solving Quantitative Reasoning Problems with Language Models

Reference 21

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no resolver link, observed 2026-08-15T15:49:57.000317Z

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source=arxiv_source observed=2026-08-15T15:49:57.000317Z digest=sha256:6433f8193fcc8060e9b6188beef1a8475c80d9604dfab35e7471e83fa7fead5e

Observation a3df0069-ef22-408f-b6b6-56cb21ab7c7e · outbound

This paper cites From generation to judgment: Opportunities and challenges of llm-as-a-judge, 2025.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials From generation to judgment: Opportunities and challenges of llm-as-a-judge, 2025

Reference 22

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raw_fallback, observed 2026-08-15T15:49:58.010840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.005658Z digest=sha256:9bd74627a06669230da1dfb39706ac4cc8e8b031a2dde70327ea4d06ad350114

Observation d93bb54a-9cb5-4b76-b7a3-4f947eb7457c · outbound

This paper cites EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials EEE-Bench: A Comprehensive Multimodal Electrical And Electronics Engineering Benchmark

Reference 23

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no resolver link, observed 2026-08-15T15:49:57.010292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:57.010292Z digest=sha256:62e0feebf779f0c6199c57a0ac176db9c2a35fe641d72df6f3e668150daf999b

Observation 1c8ad1ae-41bb-4869-a5ab-e97470209e16 · outbound

This paper cites A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis

Reference 24

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verified exact
local_arxiv, observed 2026-08-15T15:49:57.657663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.015090Z digest=sha256:3cff5a82e84dfe5c6018ab99b5dd3bc625bc38e8d6be41748a144204c4b28eea

Observation 58d04c68-4b1f-47d4-ab7d-7a11559dac96 · outbound

This paper cites Toward automated simulation research workflow through llm prompt engineering design.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Toward automated simulation research workflow through llm prompt engineering design

Reference 25

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no resolver link, observed 2026-08-15T15:49:57.020735Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:57.020735Z digest=sha256:fcf650dcc705ce078404e0b301d0efef74ab30b7137c11cbec0ffd3543d04902

Observation 1997621e-bb16-409b-9ea3-1e9b94c64359 · outbound

This paper cites Mechanics of Materials: Exercises and Detailed Solutions, 5th Edition.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Mechanics of Materials: Exercises and Detailed Solutions, 5th Edition

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:49:57.995457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.025287Z digest=sha256:22ed07f90bbfd45a664fbf778c5fa05331e8203e94d750ddd5ab95a0c33ebeeb

Observation a150b81b-f9d0-46d2-afca-a2cb5e8a6232 · outbound

This paper cites OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Reference 27

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unresolved
no resolver link, observed 2026-08-15T15:49:57.029515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:57.029515Z digest=sha256:ca31bd42fd419b9a3e011499c185dd08c37dd8c245737d0540dc0c24c84adb51

Observation 5c3ea337-45ab-470f-955b-e478f5e7ea4d · outbound

This paper cites Llama-3.3-70b-instruct, 2024.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Llama-3.3-70b-instruct, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:49:57.979075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.034321Z digest=sha256:974548e8066902da5ee4f9c4c184cea646e965a33cb4efc1d7707dc3edd2cde0

Observation cd13ca83-5d15-49b8-b4bc-385da418192a · outbound

This paper cites MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials MechAgents: Large language model multi-agent collaborations can solve mechanics problems, generate new data, and integrate knowledge

Reference 29

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unresolved
no resolver link, observed 2026-08-15T15:49:57.038385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:49:57.038385Z digest=sha256:650d13640d49d209eb4626b347b5e868139631618d7b4c659c71094d70e63265

Observation 3cc7c5ca-8ccc-40b5-b701-1147641e17a7 · outbound

This paper cites Integrating External Tools with Large Language Models (LLMs) to Improve Accuracy, pp.\ 409–421.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Integrating External Tools with Large Language Models (LLMs) to Improve Accuracy, pp.\ 409–421

Reference 30

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verified exact
doi, observed 2026-08-15T15:49:57.293034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.042645Z digest=sha256:8dc971b3a401d281e8690cdda3c87dea9ef0422ba271d360f859709cdbec9a59

Observation 8a97662b-007b-4af5-9196-fd00cfdd3b82 · outbound

This paper cites Gpt-3.5-turbo-0125, 2023.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Gpt-3.5-turbo-0125, 2023

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:57.962353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.047227Z digest=sha256:1ac979e5020f4b891581a2a0713335da367bc4b8c3d2b9fb0c45408d4becb4a2

Observation d3bdbb59-dc71-4deb-8dba-3b707fc4e0c2 · outbound

This paper cites Gpt-4o, 2024.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Gpt-4o, 2024

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:57.946675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.051404Z digest=sha256:625bbd065fcd750617529174baacf4fa9e1c1004d32d97fdcc9aa76881fc6dae

Observation d26bc76d-8385-40ef-a2cb-943ae340f7f8 · outbound

This paper cites Gpt-oss-120b, 2025.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Gpt-oss-120b, 2025

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-15T15:49:57.930536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.055891Z digest=sha256:bd01b9d9471ef5b093557b0c3c9e1db36a07aadc237d0b2bf398f4a4cee463ce

Observation 16764bab-b892-494c-94d6-91e0ad1d43d8 · outbound

This paper cites DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications

Reference 34

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Observation fc31fd3a-ac1c-4af4-9ff4-cacac30117f7 · outbound

This paper cites From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials From Concept to Manufacturing: Evaluating Vision-Language Models for Engineering Design

Reference 35

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source=arxiv_source observed=2026-08-15T15:49:57.064138Z digest=sha256:8bcc93dade8f81c3a5b3ef4034d132c7c06e7fa46de27cd8608a37e83c6b885a

Observation 662e6731-fe77-46da-a171-5b1d4ec90941 · outbound

This paper cites Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues, pp.\ 251–266.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Training LLM-Based Tutors to Improve Student Learning Outcomes in Dialogues, pp.\ 251–266

Reference 36

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source=arxiv_source observed=2026-08-15T15:49:57.068875Z digest=sha256:e9ec8e770c677137e6c24c864f8dcfccd6274b4d9fcde50db390575dc69cd025

Observation ce9a9413-e49b-4e41-9027-de9e50bb0878 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 37

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source=arxiv_source observed=2026-08-15T15:49:57.073267Z digest=sha256:2af05e22a031f39d95495cc8e6ffbf952b97c0c0e660f45181a29f8b0b2a17df

Observation aa8ae639-4b41-4c10-be6e-57b6d7b1fa75 · outbound

This paper cites Benchmarking Large Language Models for Math Reasoning Tasks.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Benchmarking Large Language Models for Math Reasoning Tasks

Reference 38

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source=arxiv_source observed=2026-08-15T15:49:57.077734Z digest=sha256:d18f08fde9a677573b93e677a6ee76aec01ca383c65dff37c9a54bb33edf157c

Observation 2df560e2-f9b4-4f53-8e1d-7186d17b2493 · outbound

This paper cites Deepseek-v3-0324 api.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Deepseek-v3-0324 api

Reference 39

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.082840Z digest=sha256:633809a6ad3a0f79d7eda1bd8455a9a1b938833eb4c4524ba7b97aca8bdafe91

Observation 58935e68-4636-4b31-bdf5-859a86eda0da · outbound

This paper cites Materials Mechanics I.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Materials Mechanics I

Reference 40

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T15:49:57.087431Z digest=sha256:ca21836e4a7765c6cc6b13ccf533665d0461172624f3aaec13c51700440b16d1

Observation b2e8f8ec-c73c-462f-85a6-abc3731362fc · outbound

This paper cites Optimizing collaboration of llm based agents for finite element analysis, 2024.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Optimizing collaboration of llm based agents for finite element analysis, 2024

Reference 41

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source=arxiv_source observed=2026-08-15T15:49:57.092081Z digest=sha256:ddf5dd6107bf99c5709bfa0332e9fadb9d70715417dae621b0bd2e8115fcbf0f

Observation 2de1980a-1e6e-48ef-86d6-df24cad90d1f · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 42

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source=arxiv_source observed=2026-08-15T15:49:57.096432Z digest=sha256:f802a0512f5d5870fa37a5a84852af053eb0215bd249d63d911c21dc8f1f4d93

Observation 49f5f345-8df9-438b-a71a-97d1d2e47a14 · outbound

This paper cites Physunibench: An undergraduate-level physics reasoning benchmark for multimodal models, 2025.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Physunibench: An undergraduate-level physics reasoning benchmark for multimodal models, 2025

Reference 43

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source=arxiv_source observed=2026-08-15T15:49:57.122306Z digest=sha256:975c87d61cd872829487e4b3c77ba14e72c0ab15364f42c0291873c128594908

Observation 9f1cf851-140b-4591-ac82-dc31c77a40d2 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 44

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source=arxiv_source observed=2026-08-15T15:49:57.176597Z digest=sha256:52568c1293d44a7bbd6a53f35a9a4738c4a2521a8da61ca1c4a67036d15055ef

Observation 08e0c72e-7111-4db8-9b85-76e28f0762f7 · outbound

This paper cites CLEVRER: CoLlision Events for Video REpresentation and Reasoning.

SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials CLEVRER: CoLlision Events for Video REpresentation and Reasoning

Reference 45

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source=arxiv_source observed=2026-08-15T15:49:57.243649Z digest=sha256:3cd1b66103e41231fce1f9411527d3a8a65a4f28d5f68e538b96590cfc5fdf38

Pith citing papers

Observation c840372e-55a5-4a10-8ec1-639b055a1761 · inbound

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs cites this paper.

MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 52

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arxiv_id, observed 2026-08-04T01:49:12.512413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation dcbded91-50dc-4dbc-ab0f-78c35ca71c99 · inbound

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models cites this paper.

Automating Structural Analysis Across Multiple Software Platforms Using Large Language Models SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 16

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arxiv_id, observed 2026-08-04T01:49:12.512413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a8185165-779e-4295-814f-d73aeeeb456a · inbound

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems cites this paper.

Agentic Large Language Models for Automated Structural Analysis of 3D Frame Systems SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 10

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verified exact
arxiv_id, observed 2026-08-04T01:49:12.512413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3fbf6cde-4906-42bd-becc-6dbe859f8230 · inbound

Human-Enhanced Loop Modeling (HELM): Agent-Based Finite Element Modeling of Concrete Bridge Barriers cites this paper.

Human-Enhanced Loop Modeling (HELM): Agent-Based Finite Element Modeling of Concrete Bridge Barriers SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 5

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arxiv_id, observed 2026-08-04T01:49:12.512413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T09:42:01.550923Z digest=sha256:2b3a1f1c6af7bbfaf90bd64731aac60c4fb893784b953281ce5c459989d7d5aa

Observation e39048ba-e3e5-44a4-b423-c8b2d6c249fa · inbound

A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design cites this paper.

A Lightweight Multi-Agent Framework for Automated Concrete Barrier Design SoM-1K: A Thousand-Problem Benchmark Dataset for Strength of Materials

Reference 18

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arxiv_id, observed 2026-08-04T01:49:12.512413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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