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Paper Citation Record · LEDGER

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem

As of 17 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 2 inbound Pith citation observations for arXiv:2505.14148.

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

pith.paper-citation-record.v1
2505.14148 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:46.821416Z

measured 92 of 92 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:17:31.059069Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T05:10:54.502870Z

Reference resolution

90 of 90 outbound references displayed

  • verified exact2
  • verified fuzzy31
  • unresolved57
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b1996c94-8d99-458f-9778-36fa9d4b0e42 · outbound

This paper cites Courier Corporation, 2000.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Courier Corporation, 2000

Reference 1

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source=pdf_text observed=2026-08-07T15:42:38.476871Z digest=sha256:79c2c69a3df92d3ca3e8817616ee3bee1f82131e1113f581162c1a12ad0a16db

Observation fd8b22a3-a290-47df-aaae-c7ee3aa6d8f5 · outbound

This paper cites Academic press, 2013.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Academic press, 2013

Reference 2

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source=pdf_text observed=2026-08-07T15:42:38.535649Z digest=sha256:987cc6e7716f5718229192362381e18dfb9b896c289d87cbc671fb344ce2da0a

Observation 9b45cb0e-adee-44cb-81c2-a1793bdd50e5 · outbound

This paper cites Trinh, Yuhuai Wu, Quoc V.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Trinh, Yuhuai Wu, Quoc V

Reference 3

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source=pdf_text observed=2026-08-07T15:42:38.659724Z digest=sha256:079c30a71461d7c3ffe901138250ed446d96a7919d4b35206e0ccaee741df236

Observation a00faed1-6f84-42fb-8cbc-898a89b521eb · outbound

This paper cites Optibench meets resocratic: Measure and improve LLMs for optimization modeling.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Optibench meets resocratic: Measure and improve LLMs for optimization modeling

Reference 4

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source=pdf_text observed=2026-08-07T15:42:38.757773Z digest=sha256:d4560ca4683fe6819991faf25859ebb7c59c980e3fb3f51a41495ce3343be279

Observation 9029bb1e-4c5b-4787-b5be-98ed71c330c4 · outbound

This paper cites PaperBench: Evaluating AI's Ability to Replicate AI Research.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem PaperBench: Evaluating AI's Ability to Replicate AI Research

Reference 5

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source=pdf_text observed=2026-08-07T15:42:38.829364Z digest=sha256:f1dd31646565b29ec286fae65c6f9739a27807929fa964e64598fdaafe81bede

Observation 09f7d3bf-57e4-42e9-aaaf-0acaf8819ce1 · outbound

This paper cites Gpt-4o system card, 2024.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Gpt-4o system card, 2024

Reference 6

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source=pdf_text observed=2026-08-07T15:42:38.936065Z digest=sha256:96e66f8c2918bd56b3553e16523ec062318c9ecd589cb15eaa0e48267a564fea

Observation 9ee4e499-3620-41bd-8a5b-f102bacd0245 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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source=pdf_text observed=2026-08-07T15:42:38.993834Z digest=sha256:7ddd42d36eeae09d06b94b881daeb0f1eb0e8bafa810fdf58f344680dbc79c1c

Observation 5cbb2942-4fb1-4d43-828e-70f22fa21f7b · outbound

This paper cites Narasimhan, and Yuan Cao.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Narasimhan, and Yuan Cao

Reference 8

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source=pdf_text observed=2026-08-07T15:42:39.085906Z digest=sha256:33eff716a5529b13e22b4be752f5cca7a7b586f72f8b8d3949a7167073665d52

Observation bda818d4-e182-474d-812d-7e0c7c4855c1 · outbound

This paper cites Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors

Reference 9

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source=pdf_text observed=2026-08-07T15:42:39.211710Z digest=sha256:4c7cdf8d6a83352a4e77ce01f1451ed869a590684382eb0a83784223ea60f864

Observation 8ae258bf-7664-43aa-b677-359a27a07a43 · outbound

This paper cites CAMEL: communica- tive agents for "mind" exploration of large language model society.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem CAMEL: communica- tive agents for "mind" exploration of large language model society

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:39.299859Z digest=sha256:e417af4db343b7dda1c97ca11206fefe12076dcc292a17c97dc15d5fbbeaa227

Observation c488c814-5c8b-459d-b7dd-9bb4c7cb63db · outbound

This paper cites Chatdev: Communicative agents for software development.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Chatdev: Communicative agents for software development

Reference 11

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source=pdf_text observed=2026-08-07T15:42:39.388646Z digest=sha256:de658d47c1db4bbbac273c68360b5db1e0005ebc4b33b11bbabc9e21494845b6

Observation 31cc4b58-0428-4f66-b0bf-e9699ac67e85 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 12

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source=pdf_text observed=2026-08-07T15:42:39.474387Z digest=sha256:1f7e98038b2b6606b8de869750da02403edbacf1daf13cdc533b670b5478f719

Observation 963066b0-e6bf-4e1f-b36d-ead7820bfb41 · outbound

This paper cites Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R

Reference 13

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source=pdf_text observed=2026-08-07T15:42:39.587279Z digest=sha256:dc2ddc906e1e3a8db6788aa05df2fedfdc4095f6545f22fd24e818377adf18eb

Observation feb7c2f6-bd7d-4ae8-a028-a2bcb986a2f8 · outbound

This paper cites OpenHands: An Open Platform for AI Software Developers as Generalist Agents.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem OpenHands: An Open Platform for AI Software Developers as Generalist Agents

Reference 14

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no resolver link, observed 2026-08-07T15:42:39.677976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:39.677976Z digest=sha256:d0e3c36484879d21845b0f2a01742d187c15cccf976c8a05ffed3c09596a2e91

Observation 3069ec61-4c1f-4d92-a441-1ca0f7a43505 · outbound

This paper cites Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Jimenez, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, and Ofir Press

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:57.679852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:39.770297Z digest=sha256:6531e525bcc7edb142e405202a2b85c16c5373d9d0f1f08c0cc1d0fec8f378fd

Observation 66ee6e45-010b-4638-9d7f-0c2ce6d213f8 · outbound

This paper cites Large Language Model-Based Agents for Software Engineering: A Survey.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Large Language Model-Based Agents for Software Engineering: A Survey

Reference 16

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source=pdf_text observed=2026-08-07T15:42:39.859318Z digest=sha256:87a7da03366d7c1577ca86336c22e3889fab95ce741bb24c1083445ca92c5c70

Observation 4b5544de-7e3a-4888-a55b-8d3d56f6266b · outbound

This paper cites Project Sid: Many-agent simulations toward AI civilization.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Project Sid: Many-agent simulations toward AI civilization

Reference 17

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source=pdf_text observed=2026-08-07T15:42:39.970137Z digest=sha256:ae2b46d36b3d06863f6f81a81e42deea8b5c406a6858064170a2eda4c903e3f4

Observation 7df7634f-9ca3-4e1d-95a0-ce6596e40677 · outbound

This paper cites Chessgpt: Bridging policy learning and language modeling.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Chessgpt: Bridging policy learning and language modeling

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:40.035170Z digest=sha256:b0b94b0ee7f46e82bc8805c3369fe61c539f6f27938abcc30a045e5a678ef685

Observation 18f85fc3-9136-4af1-9f28-6639557d6f69 · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.Trans.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem V oyager: An open-ended embodied agent with large language models.Trans

Reference 19

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:40.130768Z digest=sha256:71e0d9365c7ec3408e4de6a108d26ac83cc805331b6dee5d3f0ed0a144b651e5

Observation 19b3d1f6-4301-4209-a6a6-95ad82d1ee13 · outbound

This paper cites Villageragent: A graph-based multi-agent framework for coordinating complex task dependencies in minecraft.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Villageragent: A graph-based multi-agent framework for coordinating complex task dependencies in minecraft

Reference 20

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raw_fallback, observed 2026-08-07T15:42:56.937284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:40.191120Z digest=sha256:e6a12b6b5dfcfacb8b9c41784f31b7ace9aa3b12372f1c01a4d9c0f10e5c22cb

Observation f6884613-64bf-45b8-8b22-7e64745b9323 · outbound

This paper cites Language agents with reinforcement learning for strategic play in the werewolf game.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Language agents with reinforcement learning for strategic play in the werewolf game

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:40.244949Z digest=sha256:5d7fc55c105b80d5cc807825c959f200b7a7f5dd7b5d709f0afca4fc8807651a

Observation b28ea162-5322-4980-8b26-757954126808 · outbound

This paper cites A Survey on Large Language Model-Based Game Agents.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem A Survey on Large Language Model-Based Game Agents

Reference 22

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source=pdf_text observed=2026-08-07T15:42:40.349079Z digest=sha256:c155968320306b11f43a0c26d1a04e3b0a6ed75ce1f8011e077e55376f756133

Observation 59ea0278-f6d2-4e5f-ab83-5351717e1ae8 · outbound

This paper cites O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem O’Brien, Carrie Jun Cai, Meredith Ringel Morris, Percy Liang, and Michael S

Reference 23

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source=pdf_text observed=2026-08-07T15:42:40.435203Z digest=sha256:e13c51e97608dbde53b6cfe2d4c6c567f36395b9d30801cef6cd61046bba7461

Observation 5e834955-2ac6-4efb-8fd0-ab1d07fd69d2 · outbound

This paper cites LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

Reference 24

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no resolver link, observed 2026-08-07T15:42:40.535846Z

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source=pdf_text observed=2026-08-07T15:42:40.535846Z digest=sha256:4a3d7497a847482adb1a0c2ad1f3b68e2abcc69f286dedcb0f367df18d4c299c

Observation 3bf0530d-e883-4bc6-878a-a4d889443c5e · outbound

This paper cites EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities

Reference 25

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source=pdf_text observed=2026-08-07T15:42:40.658415Z digest=sha256:8f2441df796a7df8430f115c90777c712735c2927879ba4803a3645693553cd9

Observation abd2a32c-ed1a-4872-afd0-03f164ed177d · outbound

This paper cites LLM Agents can Autonomously Hack Websites.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem LLM Agents can Autonomously Hack Websites

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:40.760266Z digest=sha256:b90bae3bf4499f7d2dd906c5f1585e9933a7fddaaa650711b3e37c4104afc8f7

Observation 7bd0f4e0-6dcd-4263-abc5-024ef9e2ffea · outbound

This paper cites CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem CYBERSECEVAL 3: Advancing the Evaluation of Cybersecurity Risks and Capabilities in Large Language Models

Reference 27

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no resolver link, observed 2026-08-07T15:42:40.865556Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:40.865556Z digest=sha256:8d8d7caf1d6113b32b306a3413221b88ac99fc99726d7a9c3ecd83251d4fd22a

Observation 94407b0f-a35d-4e55-a653-6090e3f20d3e · outbound

This paper cites Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, and Chuyuan Kelly Fu.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Joshi, Kyle Jeffrey, Rosario Jauregui Ruano, Jasmine Hsu, Keerthana Gopalakrishnan, Byron David, Andy Zeng, and Chuyuan Kelly Fu

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:56.648501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:40.970568Z digest=sha256:18b2da3c48b49dae97a99a45c3e900b3d3075b26fa6386897649928159a07ad4

Observation 688a1bc5-cbc1-4593-aa4a-e233d794fd18 · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.077881Z digest=sha256:ccf24aacf0e1988ff383df6b423f3db5915ab45bf02194e337844fa4a35284cd

Observation 8195048e-6ca4-4251-a80c-9b58f93c68c8 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 30

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unresolved
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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:41.185926Z digest=sha256:79988f71df5f42770ea05125e7af793f8c0432114fbfe347a8440f38a51bf2d1

Observation 853bf849-4363-48b8-99e3-dc6b5ca1de3f · outbound

This paper cites Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R

Reference 31

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raw_fallback, observed 2026-08-07T15:42:56.363954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:41.261839Z digest=sha256:4e4b56cb9b06d66dc42e55f79f5c5b0a6fcbc459fb5781ab3c5d22a2af770320

Observation f53ac35f-e662-41b9-a89e-2dbea3bca118 · outbound

This paper cites Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, and Axel Krieger.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Zhao, Samuel Schmidgall, Anton Deguet, Marin Kobilarov, Chelsea Finn, and Axel Krieger

Reference 32

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raw_fallback, observed 2026-08-07T15:42:56.213212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:41.382745Z digest=sha256:4fec38eb66d0e3d84b2ccabdfabfab29625986eb1776a15b5dc6530663d049e0

Observation cd3d218c-30f0-4838-925d-bbf29ddd4bb1 · outbound

This paper cites Ds-agent: Automated data science by empowering large language models with case-based reasoning.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Ds-agent: Automated data science by empowering large language models with case-based reasoning

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:56.084967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:41.486911Z digest=sha256:924da579052af25bb05d8f53c2a9d34d0b7e5a30ee82441361ae2f0854dd34cd

Observation 39258b92-f6b6-4d13-b9bd-e94ead0166cb · outbound

This paper cites Data Interpreter: An LLM Agent For Data Science.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Data Interpreter: An LLM Agent For Data Science

Reference 34

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.675201Z digest=sha256:5845d2a6f920f3e47fdf7da11616ceb6df10326ad68186acc7fff6dce78e7e07

Observation 2115c347-4ba0-4870-a6fc-fdeab11e4e18 · outbound

This paper cites Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, and Tao Yu.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, and Tao Yu

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:55.956383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:41.808051Z digest=sha256:57368f2c27a54f022cf56ae00ec20f02d4e02cb540dcb95e98d802bf06a72399

Observation d675191b-3130-4dbd-a04e-0f96fe27a6b7 · outbound

This paper cites ChatGPT as your Personal Data Scientist.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem ChatGPT as your Personal Data Scientist

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:42:47.546071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:41.877401Z digest=sha256:0a7efafba1746983f46c8c0e4278b37ce6727ff58f6737ad1787f4d7bb94be0c

Observation e0db5871-dd1e-4226-9737-cb2409ff8da0 · outbound

This paper cites Towards Accurate Differential Diagnosis with Large Language Models.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Towards Accurate Differential Diagnosis with Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:41.945056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.945056Z digest=sha256:f0e23d74e5718bcd5b0885cf685cde2193f050ba93bedf00e35a20a118ac5293

Observation aa9a8f41-e00d-4179-b576-a1404dbd80f0 · outbound

This paper cites AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.027298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.027298Z digest=sha256:e561403ae4288fb4132c4d5b1a487bf3a41a885c3986af37167f74120b5d4ca8

Observation 0c501093-8046-4b7b-afd9-8df163238d52 · outbound

This paper cites Towards Conversational Diagnostic AI.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Towards Conversational Diagnostic AI

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.110317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.110317Z digest=sha256:1186115d534cbd3890cd26627f77163a5a21bf78280ca8cc48a32baa527337d1

Observation eb9b6075-486d-45a0-84aa-ad5830307110 · outbound

This paper cites Llm-based agentic systems in medicine and healthcare.Nature Machine Intelligence, 6(12):1418–1420, 2024.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Llm-based agentic systems in medicine and healthcare.Nature Machine Intelligence, 6(12):1418–1420, 2024

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.214120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.214120Z digest=sha256:a3ec1e0eabf2ae936007b62a994033bfb858921fcbb9246a0e2978eea7c1f1bd

Observation 0a840c4a-dd0d-4cde-8dc2-d595593ae5dc · outbound

This paper cites Mind2web: Towards a generalist agent for the web.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Mind2web: Towards a generalist agent for the web

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:55.803692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:42.318805Z digest=sha256:ad97985763741dcbec1633d37d34215dee23303a9b45fbf6e52e8f3bd6054371

Observation 7120830c-c6c1-4987-bc89-65d0b8d445b1 · outbound

This paper cites Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, and Aleksandra Faust

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:55.673599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:42.407827Z digest=sha256:5ea07a95f4988d7ba22a19b3d827b52cc7e53285581ea9faaba6ca82c7e0f3b0

Observation 2cdbb949-5b8f-4be7-ac4f-7f3213756b55 · outbound

This paper cites Webvoyager: Building an end-to-end web agent with large multimodal models.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Webvoyager: Building an end-to-end web agent with large multimodal models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:55.486338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:42.505802Z digest=sha256:96a10312332f18470fae110e25b6ad83435bafb01771c4115854e5da7e14e81a

Observation 8fe2b27b-054d-4220-8778-37ee53dece3b · outbound

This paper cites Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Agent Q: Advanced Reasoning and Learning for Autonomous AI Agents

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.588330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.588330Z digest=sha256:5320d9cc8d70cccace53c9e52fe6d84d14b5f81abf3af17e90cba52ea2812d8e

Observation f3b9dcea-b9f5-4952-93bf-f55173b37ee9 · outbound

This paper cites The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.683058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.683058Z digest=sha256:47d8ead463775ab904453fbdeb97d22f9bdc2a312127a8ae7bde284efd34b862

Observation 104fc2b3-6a95-4976-bfa9-1a3dd53e39dd · outbound

This paper cites Agent Laboratory: Using LLM Agents as Research Assistants.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Agent Laboratory: Using LLM Agents as Research Assistants

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.770673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.770673Z digest=sha256:869be528bf0d58f6a7a6e990b44fac8b23a9b2a553c1519d8e959598a1c948fb

Observation 5d73b9c5-58bf-4992-bf0c-5ac3cd293eaf · outbound

This paper cites The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.844664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.844664Z digest=sha256:18c23aef2416621f3841b35653d553c3e10b820b1d2b2da9cb45cdaa14cc407d

Observation a180edb2-1235-41c7-bad1-22dc0014a1c4 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.956531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.956531Z digest=sha256:22e272339183b3c80cdaf5648ea8213ec5faaec4c49760a4d3902a290462fb0b

Observation f76081b5-bdb8-4bf5-9fc4-b728fddc0f48 · outbound

This paper cites MLGym: A New Framework and Benchmark for Advancing AI Research Agents.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:43.090307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:43.090307Z digest=sha256:8a7d8914c406256b615a8eaea58c736364649c3c2bb09b2d54bf0c3140a0da15

Observation a9e4d109-9fac-4863-ae07-f3aa906b5f2d · outbound

This paper cites MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:43.182959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:43.182959Z digest=sha256:cb051e99b965973ac93697b4d2092bf62218c925bf24390ffaaabbf76e33400f

Observation e4b0d95c-8269-4f9b-b2d0-d8de81cd2a99 · outbound

This paper cites Empowering biomedical discovery with ai agents.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Empowering biomedical discovery with ai agents

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:43.290035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:43.290035Z digest=sha256:1950e6d10c9c177720f4d9a889497279a0ddc3ef2da268f8fc6dee80ad1978d6

Observation 80debc82-b3b8-4cef-9aac-2590e39ab7eb · outbound

This paper cites Organa: a robotic assistant for automated chemistry experimentation and characterization.Matter, 8(2), 2025.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Organa: a robotic assistant for automated chemistry experimentation and characterization.Matter, 8(2), 2025

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:55.176617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:43.386888Z digest=sha256:7ce74f8eaa963249118fe63bb68a3bf0581a460ee1fc017ada18182bc80e99ed

Observation be905eac-1b0b-4548-a737-6f523a478ee6 · outbound

This paper cites Automating traffic model enhancement with AI research agent.CoRR, abs/2409.16876, 2024.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Automating traffic model enhancement with AI research agent.CoRR, abs/2409.16876, 2024

Reference 53

Resolution
verified exact
raw_fallback, observed 2026-08-07T15:42:47.124417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:43.512384Z digest=sha256:fc300df6e11893f62c91fb133ee9ddfaf914cc8ff5c2b30c874f36c8607447b4

Observation 6ecbdbca-5c70-44b4-89d2-4cb3957bad1c · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Measuring mathematical problem solving with the MATH dataset

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:43.565378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:43.565378Z digest=sha256:523983e9568a2d828f9bee8d7d080a59ca0cbe204a7a5d36765bb9f835c01b3d

Observation c0d46e44-7444-479e-baaa-c8abab5a5120 · outbound

This paper cites Chi, Quoc V.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Chi, Quoc V

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:43.743286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:43.743286Z digest=sha256:6454cfe252ed4e87e4cc4d2e9ee5efe861ac6a5f611d98877a5e2315679d397e

Observation a9bc7002-71b8-497c-9d44-2867c3bad903 · outbound

This paper cites minif2f: a cross-system benchmark for formal olympiad-level mathematics.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem minif2f: a cross-system benchmark for formal olympiad-level mathematics

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:54.944770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:43.838981Z digest=sha256:413f29c45640c9be14830b62802e40c1540e0d0e657bc98f5836efa7084f605a

Observation 872f44cd-f4e3-47b2-8143-10fb65a839bb · outbound

This paper cites Ayers, and Stanislas Polu.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Ayers, and Stanislas Polu

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:54.740734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:43.894012Z digest=sha256:c345a6beddaeee6538344bd30701673499fd14fb50400e75ca4e0e55f9d55c6a

Observation 618dc301-abd4-4ec1-a1bd-562fa9bc5e06 · outbound

This paper cites Learning to prove theorems via interacting with proof assistants.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Learning to prove theorems via interacting with proof assistants

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:54.538063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:43.976203Z digest=sha256:93c618eedc333882e25d2f97940c5bae84bc8782e8bedadce92d9eae72b9cdac

Observation 166fae67-3aa2-4249-9490-154fce141368 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:54.326889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.082573Z digest=sha256:7377f70014c6cecc47d499d11825460beb1748d73a0a26068fd8fc72e97314d5

Observation 2db24ac2-f945-4723-8f8b-152afea0dff0 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Training Verifiers to Solve Math Word Problems

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:44.144616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:44.144616Z digest=sha256:015f2c2d8a8d11327ed4aa2154d14e930c8b53246953eade1815765efbf3ec0d

Observation b1fd9fd8-9596-477a-a84a-3715ecdb310c · outbound

This paper cites Chain-of-experts: When llms meet complex operations research problems.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Chain-of-experts: When llms meet complex operations research problems

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:54.102525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.232689Z digest=sha256:fdea190ecbc651a8ef31cf12f357370494aebca9d70106a9eafadb04f53d8424

Observation 2d1c271e-55dc-41a6-9ce6-ed9b321ea215 · outbound

This paper cites Optimus: Scalable optimization modeling with (MI)LP solvers and large language models.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Optimus: Scalable optimization modeling with (MI)LP solvers and large language models

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:53.905662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.322267Z digest=sha256:87ed5c92761970b0bf7f4cd5c79cfa863a6e844b151462ff49967a82e824ebdc

Observation 087cb666-46e5-4e6e-9f08-88ca57d4d2b9 · outbound

This paper cites Nl4opt competition: Formulating optimization problems based on their natural language descriptions.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Nl4opt competition: Formulating optimization problems based on their natural language descriptions

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:53.642555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.409045Z digest=sha256:b2bff2bfeb0a0a7c4aa70b5e44a928bd357b8ae68a0adc2792f9c48dafef9c3e

Observation 6541c274-e5c0-45ce-bc76-383660147b17 · outbound

This paper cites Highlights from comap’s 2024 mcm and icm, 2024.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Highlights from comap’s 2024 mcm and icm, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:53.473878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.482754Z digest=sha256:1322855472421d05d673734895ce19bdf6bb27f91ad204e0067089b823899bc3

Observation 4316363c-6af1-4681-b089-89127f34e351 · outbound

This paper cites Mcm/icm contest rules, registration and instructions, 2025.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Mcm/icm contest rules, registration and instructions, 2025

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:53.247396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.560419Z digest=sha256:532b1a27cb3b79079cb9b23b58b7d6d362b8200bac2f60a5bac039de193e5105

Observation 3e2c864b-b72a-4147-a4c1-41998eb69e1a · outbound

This paper cites mgte: Generalized long-context text representation and reranking models for multilingual text retrieval.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem mgte: Generalized long-context text representation and reranking models for multilingual text retrieval

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:44.613893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:44.613893Z digest=sha256:f50220d70f9a4b7993228d318f223ae631830d67e414704417e02766633a087c

Observation bfe1f071-546f-41aa-88a4-3e44da7f983f · outbound

This paper cites the player who seemed to have the advantage are often attributed to “momentum.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem the player who seemed to have the advantage are often attributed to “momentum

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:53.035779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.689174Z digest=sha256:14f4a3c175587206c944d9c62b919ce9549d8d3b7393b4622793ea033f3cbbf6

Observation 953f3448-cada-428d-9b30-48b3d73c9852 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:52.687182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.751784Z digest=sha256:b6d73344f797a6979d41155d27c1d7c74fe6ad3daa4bef2215595310af8e56bd

Observation cb3bb614-9005-4f10-a145-422f881baff6 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:52.474749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.867921Z digest=sha256:a2a357806f397e7f90bc0dd02db0b9282aa3fa08d03ca3caca44ce0920bbfa81

Observation 5325f7b3-6420-415b-bb21-618cee722262 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:52.220866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:44.948867Z digest=sha256:738ef1dee5027758b4667715718c15bdae0fe155a69e82858355044d2de66f23

Observation 15240f98-fdb1-45ef-8895-c70ef707b3cb · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:51.920792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.019277Z digest=sha256:1e33d344fed228f7ca6961aa0e540d862c9cfe4d440013393bebd5ac1a381fa9

Observation bf7109f7-7827-416c-8df2-4dcc6161900f · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:51.698168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.095030Z digest=sha256:7320d34cc574874abc7400656e865e2adad1c14d372db9f66d86bf1c20b9a325

Observation 42931ff3-1738-45dc-9efe-d0ea5d3d30a3 · outbound

This paper cites Clearly outline how earlier tasks influence or constrain later ones.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Clearly outline how earlier tasks influence or constrain later ones

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:51.434748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.212966Z digest=sha256:21665de399e306baa84eb77254635e49a1494513e2d86cf0b1f0167ef4c06637

Observation a1fe9465-b21d-4d30-80aa-78c02ac96193 · outbound

This paper cites This includes: - *Data Dependency:* When one task produces outputs that are required as inputs for another task.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem This includes: - *Data Dependency:* When one task produces outputs that are required as inputs for another task

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:51.220740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.252099Z digest=sha256:e2467f0d92cccd1389ac0ce3b9a65a8055067f3137038529aa64e1ff4e84750d

Observation 0e9b6972-893d-4876-a6e4-353469c54c48 · outbound

This paper cites ‘json {{.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem ‘json {{

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:51.064753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.390017Z digest=sha256:143bdc1463ecc2877f867ad3b289d97f6650e87b281b548f4084eba4cd3511bb

Observation f6bc7545-d4cc-49b8-b6ea-6eca42d08a4b · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:50.796022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.501037Z digest=sha256:305cfd4a5357768a4445d78b6ac27763b5aea74c3fbfc753b345e827482632f5

Observation e75cf76a-f35c-4489-8162-170ae735e7b0 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:50.648671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.617173Z digest=sha256:c359cc21678a13b40bda8c37025174243c29aef6764cbc6444e89c2ef67524f0

Observation 39e012dc-cee1-4901-9489-f2f4215cc08e · outbound

This paper cites Other Files.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Other Files

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:50.451310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.726623Z digest=sha256:3b8ebca9f0873fe47a65ac91b567d09c59bd2ae754ee8b5c665047274a2d2026

Observation c1489a34-fff8-4107-b3b8-987e56a9ecf5 · outbound

This paper cites **It should be tested to verify it works in the intended environment**.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem **It should be tested to verify it works in the intended environment**

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:50.264087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.870604Z digest=sha256:7dd8e631fc75994dcd9feb02bd3f58348ef17e223de4a42ee452325074281524

Observation 833c9cfd-cbb7-43a2-91a9-8fae87a3fcbd · outbound

This paper cites Other Files.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Other Files

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:50.114749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:45.952535Z digest=sha256:38488ee6c020ff8ce82ef15e9441460e96358c966124ae84138e7a272bc06a83

Observation b899e993-7c14-42ee-8328-5a68b8e95ac4 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 82

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:49.832753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.045221Z digest=sha256:9a3b7eb256b3e6acfae0ecd50cb9ad3e6fd6e8f49e1050496d090acc7a128a61

Observation 2ee84c22-a61b-4364-9972-3b49e738e8b1 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:49.690687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.141504Z digest=sha256:b470398c5880b7ebbe8d33e1f6ffeab9050721b36ce7139c446937c3ffea9bae

Observation 05d56b9a-bac6-498a-9622-b0ed406b4515 · outbound

This paper cites Other Files.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Other Files

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:49.514770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.244825Z digest=sha256:460bbc259dd48df8922d41935603ae085e68a095f695682f43bc98f17d1a413c

Observation 848a422f-c518-4473-ac77-940d6d4bc4ff · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:49.340996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.314747Z digest=sha256:67a04e19989651415e380029168b2d4f68a9f15eff40d2f67ed999e0b2f3acdb

Observation 174a7f52-e20b-45c2-be38-80bbe60c8b9a · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:49.169274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.417370Z digest=sha256:68016e9c3bda37529eed214eee1aeeff64ae7bbfbcf9964defdd3b9e76d2deca

Observation e3951146-d9fe-436a-8afd-c3be2f66a0cd · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:49.013226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.506168Z digest=sha256:c1cb829dae49bc281f2fb14bfb09a49f706720b045a739f593066536dbbe4c09

Observation 9ec0503d-2b4b-45db-9dcc-0f1d314f6f17 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:48.793686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.549165Z digest=sha256:869c6f6114ebeef1c5b7b95a84a853bf18260885b04dc8aa63d5456203ae6dd3

Observation aed6aef1-49cc-44d6-849f-abf4d61e3484 · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:48.583145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.657525Z digest=sha256:ccf9fb2cac7489e9bc7503e627162a9ace2a3348fc5e64dbada70e49ad626eec

Observation 1fa7f0d2-814d-4c08-9ae2-a6817821e09a · outbound

This paper cites an unresolved cited work.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem Unresolved cited work

Reference 90

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:42:48.330988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.729106Z digest=sha256:a4bd4511b8fcc6254ef063bd594012acc28988111b57077198c7f0a3d92a67fa

Observation 583892ba-253e-4ce2-95cc-e1038cc6e191 · outbound

This paper cites ‘Json {{.

MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem ‘Json {{

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:48.096989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:42:46.821416Z digest=sha256:dd455f5032d510640ca878236c1c1d5578a3e8260f14a222c70f7879169ce00a

Pith citing papers

Observation 21bec8d3-6ec1-49e6-97d9-a21d40a8ac0a · inbound

Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization cites this paper.

Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T18:17:31.059069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T18:17:31.059069Z digest=sha256:521388551ec8d3d670d39518da5ddce4b48b7837d2b3288bc420d700250c473e

Observation 6cb0d217-75dd-4f98-b22e-cc4fdd23ea38 · inbound

Towards Knowledgeable Deep Research: Framework and Benchmark cites this paper.

Towards Knowledgeable Deep Research: Framework and Benchmark MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:10:54.505198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T18:17:35.879705Z digest=sha256:f780a92fb52110b59b3a226e0fe1d01992f342c96f9bd0f7b9e56f3591bda5cf