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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:8d219e03e5c08f9cddb96197a692a4aee6405a61c738a8073a55bb36ebad5df8

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=sha256:417bf00561dd65055bb4138461e2e7c27e8e0879d2c69316ef5623b96892bb60

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=sha256:5acd2b8242d4775bc4ee84d7ff55909cdddc380b935f3230b24bb8dc64cb5677

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=sha256:39f6f2f27e5622eb6600cd19a66e13c5f13b5c230147f72a8063b86bd6ead67c

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=sha256:621195c6414f1ce1197035fdcc823eb6f88cdf12081f228abbe6f3434ca375a5

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=sha256:18e97bee89492806c541a0632c418ad9a89f765c6f50276f8f66cdaeeeccef71

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:bfdbea15ae795a9a134ecde048e3a5c030945572499f50fe99e57ec87f0c12f3

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=sha256:8289fa51dabd6681baf22de988620eed035d260ae9b4d55ef302de77c4903275

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=sha256:357d9d23c5c0eb90caa1ee0b1b53b5d534290935adfa9a6857d66c6cd31fc2a9

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T15:42:39.299859Z digest=sha256:19646381a8934f566ff765a9a25c7931e1b010cb4a37a5f9f75952b9d3bede48

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:e7b652e80dd51458ed671d957dec392e6d75a9d2f679c9704c858baca8130bef

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:b995dfbd3790e73169664797723fcbd2c2752a0d107d7bc83a0fdf0fc8e41758

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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no resolver link, observed 2026-08-07T15:42:39.587279Z

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source=pdf_text observed=2026-08-07T15:42:39.587279Z digest=sha256:77333cdb32b4f1688a23b300164b3a5f91b134c295dc75e79b47db5795c41243

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

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source=pdf_text observed=2026-08-07T15:42:39.677976Z digest=sha256:d69f2ea526a67e5a64822fedebce313da9a976825865966891e1de5ae7d553e2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:39.770297Z digest=sha256:73eb7fdbdf803714f5ab89f36e1ef91c76a258eaeae1f6c85de19b0b5837c83e

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:d512ece57183ca7239f1fa4f2f85b17baee89bd98876b19ae061ad0a29bf02df

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=sha256:64779a6da47f6899ea7947d50cf196ec3571714a24f035af2e611b17da21dbb3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:40.035170Z digest=sha256:3f37b7f1bd9ef2e4f2102ce0be0a163955984c2d7f4ca37267a23d1fadd509ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:40.130768Z digest=sha256:e12a8604034d68a1a0159e2ecd4d416d49011bf9aab1dc1c108f54893368269a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:40.191120Z digest=sha256:363c543483a036f763b80783ec611fea7a175913b644d50c0555c92e1ef4c291

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:40.244949Z digest=sha256:79b687425c0c3145efe0c0d919e21fd81e22df10ce2358c63e6d742e0a557fa0

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:d5774f1666fd6bb1455655ce290a1e7ebb8557d2836d266ed11a1065d08b1e2e

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=sha256:9f73670d570401609dded3787a0bb674c18d5aa782ecf6c4fec463169f00d4a0

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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source=pdf_text observed=2026-08-07T15:42:40.535846Z digest=sha256:c7c0374b0972bea573af038adb3650cc2b5b1f96a25cee866bf340a59b8278a4

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=sha256:2bead536d22d05f8b7222f3ff780e5263804badd896e3721ef79456083a43e4d

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=sha256:67f68768fb7da0ac4ae0cee82d8c96b914b84fef2af86c528cd61e740176b990

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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source=pdf_text observed=2026-08-07T15:42:40.865556Z digest=sha256:787a22dbfba2ce2f25f7d9eebdc4d0879d56cebf6b27d548b634612528fa6e08

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:40.970568Z digest=sha256:4e2e6c3b3cd0c5dd71ad61faa193df73e3914b135ea32c8176815fc1bfc8b213

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.077881Z digest=sha256:12cbd1b8b6878a8650cb7e8423ee01bf61070c585d80b14b4e1c1b0b693683a5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:41.185926Z digest=sha256:95707f429b1325bbe0a0783f3f0b473ca1027c8fae9d5fde00f89139925ebe2e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:41.261839Z digest=sha256:3c651769d3b45753bdd792081097ca862e21d483f7b18978a9e025d75dc979cf

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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verified fuzzy
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:41.382745Z digest=sha256:ab0646b8b324d4e3a567a169c6554c9e6fc118efb953348da2eda2e0078154eb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:41.486911Z digest=sha256:5a4942d9b73f356d7014ce0b1838e14acec0002475191e91c5d53edac0aea2cd

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:aa35dbc18b492d2b075dcb8eb860450accabe1a227937d5be37f5bfef344a5f2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:41.808051Z digest=sha256:c8f27b0d284e4e92a2ca7bfb0b86e68f35597de4310f40d935c303c558288ac9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:41.877401Z digest=sha256:af3beee1eab7581dbb4b113b4950a4dd324e4390e4ae2fcc83ea67c94f3172fe

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=sha256:3800102d8e14374cee0772b40fa09902fc057d42219e6a5f300b3826f8f4911b

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=sha256:79fdb3c430741c9783ef47e422edf0c3160aa6c10074eb8f7d7dd13740f9e27b

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:d0f45ce0f0cdd130cec324cf183522b2ebf441f8a8ceec5c43b96cb1a561e654

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=sha256:71208b6069e1b578f43475e46e6b0ead3f2ecee772024e87e31a71a3d314edab

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:42.318805Z digest=sha256:87100d9a4ccfd29276632686d52dbd47d680ffe724692ecade41478734619526

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:42.407827Z digest=sha256:54021ff87bf10338ac5304d34e9daa5be011654e40dcfcf1c9b308de56fc5d87

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:42.505802Z digest=sha256:73de27ae06e1c6422bca5db581316d528d0560c77f8eef2b82218fa7918ea110

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=sha256:8485230b6120800f8ce178808a386b8373ca2616b0e4033bd4fcf8faef36ccd1

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=sha256:182a9165fae6a04f1af088e7bd7b6280d6c4b7fd93a9c088c9e7dbaf5a0e1e67

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=sha256:5a7ceef24505f3c1a85795418f9322702e61f23867ed4d9515c9589947a4b6c6

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:c9ffbb25e57fdebc1ab40577dac2de65cf86e8482a6e780120cfd468c822330e

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=sha256:57c6f0f21be7f9ae1006d6bbe177d70a9298992e5667aaee46bed9a8e420aedc

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:cfe8a1f3d462233603f88ba31e72b1d433f06dd16e96d2d65a43fc2fd67f111f

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=sha256:6377d3853763a7e86c030467b32cf19a60ccc3271e0a7d110173d93e47604d51

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:d70ed155b79b4ba34757a3d3b9a22d67b1f813ee4311fbda454223dc13ec9b72

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:43.386888Z digest=sha256:1d527fd8f0c08b7eaef8331297bbc7c301bb8fb24f2b0dc406531841c29f29e4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:43.512384Z digest=sha256:1f453ad09f340dc6074e19e308cc14628e9ebed7803beaabfbe67b1a6b3592b2

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:f721ee84fd8381d64276c52e55089c22d09e74524e1f8f532bc19ec288997151

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:ecfce11a166bf428be7a996b334845f49283ef7e74b7d475750079eeb2d44e1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:43.838981Z digest=sha256:ddbb7306f9818e40814eae1d7401da60348cce3e088820c9983b636ec5a9777b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:43.894012Z digest=sha256:49247ae666be4ca4dc9f9cd38fdb08878771a22287ab876c12d6c5cb713a7e84

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:43.976203Z digest=sha256:29f2e4d2a52dfc4103911f113e8d8bcde6dd8b7ec657af3ccc286f1caa959729

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.082573Z digest=sha256:bf5b058b670f6529bfc9e72c2a279231acd93334f836c71bbb235f34cce3a6a4

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=sha256:8449dc5d4616288b5606abe368829ee8d4a45e880f8bd6caa30da982f24daf3e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.232689Z digest=sha256:1c60282b31419019777ef5701869b5b38dc9f115c9dc9b7ca650fe5aea4cfff8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.322267Z digest=sha256:4c9d88ef606fc2570027841469bc85605479e65f06b73487eaf23fe0bd800e21

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.409045Z digest=sha256:989519a5f71cab5d85302912e3be6acfd22307041c99ee4355aa0e02c37d1c23

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.482754Z digest=sha256:24b6af49af277e5ba2cf084346fd51c4a78da31e6c5a15b3ac2becab19acafad

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.560419Z digest=sha256:80971b52e8ee7184a1b32780e6e69a43ea8ed96268ebd2a0625fe84cab56a3cc

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:b7877849501f3ca43b54a1e23ca4561cddb0030ef985c1fdefc1fa2ca1a49035

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.689174Z digest=sha256:044d53f790a5725a828a97fcb2bfb83f8b64d47e0a4d9b67936914ed77e211e7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.751784Z digest=sha256:71c25a150bd1be94e9f6173e9d9888f1cf0c8f46d3080429a7f6159eedb0d531

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.867921Z digest=sha256:ae0863198526be21342d7a19f14dbe5a807ed5a35c4f9cead08b3ff8673d542e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:44.948867Z digest=sha256:245864dde9a39a8e62e32873528bbbc664137df2e42ffe51d83d5155329a1fd4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.019277Z digest=sha256:ad2408ea4367a4c969e3fb59941594c9da8845967a53a03ba1fc52c1a3b740bf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.095030Z digest=sha256:71bc3320619c4971ca22cc0ad145a14471c51de61dfd2f1cab999d94d1736195

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.212966Z digest=sha256:e4644d783c9cd606e72afd60a754cf5dfe32cff715c60a2b80d0284c950e813e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.252099Z digest=sha256:51d1685ff68e24cd5cdf87860e4b969ebeb1380e5b4bf9660a7a48a09e55709a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.390017Z digest=sha256:fbe704670cb0474801faceb482a19d0b7d878f396d90dac0267649fee7ede359

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.501037Z digest=sha256:147536d6dc7d2234080792eb89772a8d101f2a236b2726a4cd9f53905a81c0bc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.617173Z digest=sha256:229fd9183819c549d14e2a8cb9728d85e4ea1f033014043db7d5fd842b36ea54

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.726623Z digest=sha256:9f7885234e9f099d5e9cade4e56d754fdea7de230aa5e1c7047791a30394468e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.870604Z digest=sha256:19d3f11fb006bdaef411e3fee695f069c2bf02dffd8358a178f675ea7033d146

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:45.952535Z digest=sha256:6350ab96b6b2879823875bad8fd51405535108212856606ca0d1ddac2e6ae95a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.045221Z digest=sha256:d477b6b2c744856595288087d640faa839e8af6d60813b241f9e44856c513019

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.141504Z digest=sha256:c9f066423cdbf5ab43d25f8013b540294a9f95d80a1e60c702a5143bd0e4057f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.244825Z digest=sha256:b19e81cc9f2df0e522dec3e77d9bfffabbd56194eb2fbbe988431e874eb2d293

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.314747Z digest=sha256:fcdf8830e7b35a9de6a85764df1d7cabdf769a30a878f1db119bd159892885d1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.417370Z digest=sha256:eac7a4ad976a7cd71c3f3321fd78df9dc62bc98480790320ebd7c21a4fef5649

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.506168Z digest=sha256:02de8b0e45b98415c4a21d8aa7e2d75615f90f23237d3e23eef7f84966b4d431

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.549165Z digest=sha256:286391c508442b7f75c6c3235dbf05bfde38825d09909edd99cf33bbf023a889

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.657525Z digest=sha256:03751486885761ccf6c39147cb3aa594cf093d56edee27b1327f36562a35cbce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.729106Z digest=sha256:6235cab82e304a269ddcffd59522297166cc352bb491755a1becb33fa68dbbf3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T15:42:46.821416Z digest=sha256:f25de17fcbd1bb6324dddc8efada0a55e7098f309e82376ee5b2c515625cc922

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:a11f4d59a879df09c047258bb22939f7d516d7e813bcf05f28ceb7b0bb9ecb26

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T18:17:35.879705Z digest=sha256:37fcf47fec630f3028ac2a9711dbb29dccacc056e57233e732836f8141fe8399