Paper Citation Record · LEDGER

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.18320.

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

pith.paper-citation-record.v1
2501.18320 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:58:36.389081Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy4
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 82fd0119-9c47-4d59-9e76-10de5ef15c07 · outbound

This paper cites Three more decades in array signal processing research: An optimization and structure exploitation perspective,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Three more decades in array signal processing research: An optimization and structure exploitation perspective,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:58:36.802725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b24170a3-e0a6-4a6b-af75-51a05d9959c6 · outbound

This paper cites Two decades of array signal processing research: the parametric approach,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Two decades of array signal processing research: the parametric approach,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:35.936405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a423a13a-1d86-4574-ae7b-18efa2f48832 · outbound

This paper cites Twenty-five years of sensor array and multichannel signal processing: A review of progress to date and potential research directions,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Twenty-five years of sensor array and multichannel signal processing: A review of progress to date and potential research directions,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:58:36.775787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c460b56f-e971-41f1-933d-2e7b321f3663 · outbound

This paper cites ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.031208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed4c478-f5c7-4d13-b63a-bc2371ff680d · outbound

This paper cites Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.036169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a6f051-addb-4e5b-b219-4be562b99b8b · outbound

This paper cites OptiMUS: Optimization Modeling Using MIP Solvers and large language models.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach OptiMUS: Optimization Modeling Using MIP Solvers and large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.041197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 036a0f20-744d-4a4a-8566-d86d4cda8766 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Chain-of-thought prompting elicits reasoning in large language models,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.047411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3071543-534b-4825-9485-52cf8bd3eb8a · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Tree of thoughts: Deliberate problem solving with large language models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.052000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab012e9f-c852-41cb-8fec-fd53244da9a1 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Graph of thoughts: Solving elaborate problems with large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.056855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db260b36-ad84-4438-bfd6-ba967e49fd69 · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Large lan- guage models are zero-shot reasoners,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.061452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c08a6312-a50d-4a85-94e2-98e8da430340 · outbound

This paper cites Iteratively Prompt Pre-trained Language Models for Chain of Thought.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Iteratively Prompt Pre-trained Language Models for Chain of Thought

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.066051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c241db64-166b-4f3b-b370-7cea9d25dfae · outbound

This paper cites Pal: Program-aided language models,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Pal: Program-aided language models,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.070567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc2b2a5-1fd8-4f2c-a721-225721693f59 · outbound

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

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Chain-of-experts: When llms meet complex operations research problems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:58:36.707555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 90c17b03-934e-40a3-b523-497e1465c594 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.080172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626bb1f7-1a52-46f1-8569-153cf9e85d0e · outbound

This paper cites Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.085279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0362cd67-33e7-4077-a0ad-bd140b561489 · outbound

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

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.090509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff0931ac-513d-4f41-b745-86cc78913a82 · outbound

This paper cites Augmented Language Models: a Survey.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Augmented Language Models: a Survey

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.095509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98730bc6-3b72-4013-b3d8-d2ec275dd326 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.100417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4781938-939b-43a8-afa2-308d44f3241f · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.160050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27ccfdf8-9d56-4250-bdce-d1e21b474cdc · outbound

This paper cites Retrieval augmented language model pre-training,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Retrieval augmented language model pre-training,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.250374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e7fd24a-33e7-4d24-8f91-362d2ba4ac0d · outbound

This paper cites In-context retrieval-augmented language mod- els,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach In-context retrieval-augmented language mod- els,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.316353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90890453-08a1-4f21-8a06-50ab0c783d19 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.350785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a14f75f-2c09-4184-b115-b1adab37991e · outbound

This paper cites LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.365228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d71d4a-c089-4cbd-aae4-f91c1cfb5e3a · outbound

This paper cites Graph attention networks,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Graph attention networks,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.370781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe53fd37-9003-4a52-a9ca-eea2aa464ff6 · outbound

This paper cites Language Models as Hierarchy Encoders.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Language Models as Hierarchy Encoders

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.375272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bc38e8a-8cc2-45a3-8262-4599f6ea3c15 · outbound

This paper cites Retrieval augmented zero-shot text classification,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach Retrieval augmented zero-shot text classification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:58:36.650275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbae0523-97f0-49df-ac9e-077dc6e8a5b6 · outbound

This paper cites LLMs Are Few-Shot In-Context Low-Resource Language Learners.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.384000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39ee67fe-f5eb-425c-97b0-aa4b5d21ffb9 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku,.

Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based Approach The claude 3 model family: Opus, sonnet, haiku,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T23:58:36.389081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.