Paper Citation Record · LEDGER

DualSchool: How Reliable are LLMs for Optimization Education?

As of 10 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 5 inbound Pith citation observations for arXiv:2505.21775.

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

pith.paper-citation-record.v1
2505.21775 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:50.023940Z

measured 49 of 49 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:10:46.717855Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:05:47.326506Z

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy19
unresolved20
parse uncertain0
malformed identifier3
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80ef1f2a-03f4-405e-a3cf-f5e5ae60cc56 · outbound

This paper cites Ilker, Jannis Kurtz, and Donato Maragno.

DualSchool: How Reliable are LLMs for Optimization Education? Ilker, Jannis Kurtz, and Donato Maragno

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.402453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ffde1ee-efe1-4195-9893-2076cffb8016 · outbound

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

DualSchool: How Reliable are LLMs for Optimization Education? Nl4opt competition: Formulating optimization problems based on their natural language descriptions

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:54.418414Z

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 ace8216d-df0f-4894-bbb4-3e5f6cd910b8 · outbound

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

DualSchool: How Reliable are LLMs for Optimization Education? Chain-of-experts: When llms meet complex operations research problems

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:54.307556Z

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 a519d0d4-25d1-40a9-bc64-3446174fe3b2 · outbound

This paper cites LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages.

DualSchool: How Reliable are LLMs for Optimization Education? LLMs for Mathematical Modeling: Towards Bridging the Gap between Natural and Mathematical Languages

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.623366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32f282ce-80f7-436f-aad6-813467eb1b1a · outbound

This paper cites Towards human-aligned evaluation for linear programming word problems.

DualSchool: How Reliable are LLMs for Optimization Education? Towards human-aligned evaluation for linear programming word problems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:54.195233Z

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 dde48be6-b2e9-4551-8b39-57123d5f6e5b · outbound

This paper cites (how) do reasoning models reason? Annals of the New York Academy of Sciences, 2025.

DualSchool: How Reliable are LLMs for Optimization Education? (how) do reasoning models reason? Annals of the New York Academy of Sciences, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.813332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f8318b2-8117-4a3f-b42c-2079f0df8113 · outbound

This paper cites Rlsf: Reinforcement learning via symbolic feedback.

DualSchool: How Reliable are LLMs for Optimization Education? Rlsf: Reinforcement learning via symbolic feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.897428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca402e7e-7fda-4177-b443-913ad8913f16 · outbound

This paper cites OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale.

DualSchool: How Reliable are LLMs for Optimization Education? OptiMUS-0.3: Using Large Language Models to Model and Solve Optimization Problems at Scale

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:46.959700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743bf790-aac0-47d3-8fc7-09cd025068a4 · outbound

This paper cites Holy Grail 2.0: From Natural Language to Constraint Models.

DualSchool: How Reliable are LLMs for Optimization Education? Holy Grail 2.0: From Natural Language to Constraint Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:47.065915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 525f4f2b-b5ee-475d-a2a2-048d0ec47a7a · outbound

This paper cites i want it that way.

DualSchool: How Reliable are LLMs for Optimization Education? i want it that way

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:54.074118Z

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 bd3dc9d9-2612-48f4-bc09-06c7cad7dcbf · outbound

This paper cites Llms for cold-start cutting plane separator configuration.

DualSchool: How Reliable are LLMs for Optimization Education? Llms for cold-start cutting plane separator configuration

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:47.186403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129fa2ca-69e4-4bba-8e4c-0cff1cf7bf08 · outbound

This paper cites Diagnosing infeasible optimization problems using large language models.

DualSchool: How Reliable are LLMs for Optimization Education? Diagnosing infeasible optimization problems using large language models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:53.849399Z

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 8424c496-7184-44d8-807a-b6318cb76e08 · outbound

This paper cites Large Language Models as Optimizers.

DualSchool: How Reliable are LLMs for Optimization Education? Large Language Models as Optimizers

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:47.309880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30449209-ab63-4d1d-a4e5-2af368cda11b · outbound

This paper cites Llm based math tutoring: Challenges and dataset, 2024.

DualSchool: How Reliable are LLMs for Optimization Education? Llm based math tutoring: Challenges and dataset, 2024

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:53.705484Z

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 5f1e3534-2f89-4ec3-bcc9-2f4a381ebff4 · outbound

This paper cites Mathtutorbench: A benchmark for measuring open-ended pedagogical capabilities of llm tutors.

DualSchool: How Reliable are LLMs for Optimization Education? Mathtutorbench: A benchmark for measuring open-ended pedagogical capabilities of llm tutors

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:47.428359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc1a02e-216c-40f0-ac39-062d741c6f00 · outbound

This paper cites Using large language models for grading in education: an applied test for physics.

DualSchool: How Reliable are LLMs for Optimization Education? Using large language models for grading in education: an applied test for physics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:53.472970Z

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 a95d9c55-6bb2-4165-97ef-368f3ae4aa89 · outbound

This paper cites Large language models in power engineering education: A case study on solving optimal dispatch coursework problems.

DualSchool: How Reliable are LLMs for Optimization Education? Large language models in power engineering education: A case study on solving optimal dispatch coursework problems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:53.299312Z

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 9cd5f25d-fde6-4c90-8542-3e24607872bc · outbound

This paper cites Introduction to linear optimization.

DualSchool: How Reliable are LLMs for Optimization Education? Introduction to linear optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:53.190477Z

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 19484734-39c9-4c6e-873f-57bd3968b19e · outbound

This paper cites On the linear programming approach to asset valuation.

DualSchool: How Reliable are LLMs for Optimization Education? On the linear programming approach to asset valuation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:53.083707Z

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 c3af580a-35cf-40af-816d-a59f3cf4fd81 · outbound

This paper cites Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.

DualSchool: How Reliable are LLMs for Optimization Education? Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:47.678377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa0c90b4-dbce-4b30-b811-b18a8bb1e187 · outbound

This paper cites Synthesis of Mathematical programs from Natural Language Specifications.

DualSchool: How Reliable are LLMs for Optimization Education? Synthesis of Mathematical programs from Natural Language Specifications

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:47.791220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c7b34c-e998-4a20-9b19-604a8e3b5f27 · outbound

This paper cites Orlm: A customizable framework in training large models for automated optimization modeling.

DualSchool: How Reliable are LLMs for Optimization Education? Orlm: A customizable framework in training large models for automated optimization modeling

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:52.961156Z

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 7821b4e9-4b6c-4ed0-aa1e-b232e3d100e1 · outbound

This paper cites Defining and characterizing reward gaming.

DualSchool: How Reliable are LLMs for Optimization Education? Defining and characterizing reward gaming

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:48.035635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fda30eaf-8510-460c-8f0b-63e72d65989c · outbound

This paper cites Computing convex hulls and counting integer points with polymake.

DualSchool: How Reliable are LLMs for Optimization Education? Computing convex hulls and counting integer points with polymake

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:52.866446Z

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 c984b8e6-ff35-4ed2-87df-4e60f95880a8 · outbound

This paper cites Exact combinatorial optimization with graph convolutional neural networks.

DualSchool: How Reliable are LLMs for Optimization Education? Exact combinatorial optimization with graph convolutional neural networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:48.260558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e9f73c-a47f-4112-8f29-318788dc153e · outbound

This paper cites Hybrid models for learning to branch.

DualSchool: How Reliable are LLMs for Optimization Education? Hybrid models for learning to branch

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:48.389720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10ae28cf-eadf-4ab5-a4f0-6edca9068c58 · outbound

This paper cites jump-dev/dualization.jl: v0.6.0, May 2025.

DualSchool: How Reliable are LLMs for Optimization Education? jump-dev/dualization.jl: v0.6.0, May 2025

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T13:26:50.103223Z

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 e5a6c4ee-d29e-4cb1-9446-be2b21b5ca3b · outbound

This paper cites Partnership for an Advanced Computing Environment (PACE) , 2017.

DualSchool: How Reliable are LLMs for Optimization Education? Partnership for an Advanced Computing Environment (PACE) , 2017

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:52.778290Z

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 70465860-baaa-4709-b87e-b4634045b152 · outbound

This paper cites Sensible rules for remembering duals—the sob method.

DualSchool: How Reliable are LLMs for Optimization Education? Sensible rules for remembering duals—the sob method

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:52.688890Z

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 bf6030b3-5003-4b2e-b9bb-22b4805bbc66 · outbound

This paper cites an unresolved cited work.

DualSchool: How Reliable are LLMs for Optimization Education? Unresolved cited work

Reference 30

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:26:52.587286Z

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 530dcdb1-cff5-47d7-8174-bab479b9e1d0 · outbound

This paper cites version 7.10.0 (R2010a).

DualSchool: How Reliable are LLMs for Optimization Education? version 7.10.0 (R2010a)

Reference 31

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:26:52.521701Z

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 94457126-a0fc-4d9c-815a-c50e6565b781 · outbound

This paper cites JuMP 1.0: Recent improvements to a modeling language for mathe- matical optimization.

DualSchool: How Reliable are LLMs for Optimization Education? JuMP 1.0: Recent improvements to a modeling language for mathe- matical optimization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:49.070504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b83233-eb4a-4778-8e5a-ac5c2eb1a5fd · outbound

This paper cites Julia: A fresh approach to numerical computing.

DualSchool: How Reliable are LLMs for Optimization Education? Julia: A fresh approach to numerical computing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:26:49.168212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a68f10f-7b6f-48c5-b41d-c2e6d116d755 · outbound

This paper cites Decision Information Meets Large Language Models: The Future of Explainable Operations Research.

DualSchool: How Reliable are LLMs for Optimization Education? Decision Information Meets Large Language Models: The Future of Explainable Operations Research

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:26:50.163457Z

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 8b508ced-2e3f-4753-8840-8a1f8e291014 · outbound

This paper cites GeCO, 2023.

DualSchool: How Reliable are LLMs for Optimization Education? GeCO, 2023

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:52.407122Z

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 5a2877ca-8009-4a13-9f13-b331e77f0bb3 · outbound

This paper cites an unresolved cited work.

DualSchool: How Reliable are LLMs for Optimization Education? Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:52.299280Z

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 a12e2252-6809-4218-a4df-f81399959855 · outbound

This paper cites The example below will use the sign convention yj ≥ 0 ∀j ∈ I≤, yj ≤ 0 ∀j ∈ I≥, yj ∈ R ∀j ∈ I= which corresponds to residual convention bj − a⊤ j x.

DualSchool: How Reliable are LLMs for Optimization Education? The example below will use the sign convention yj ≥ 0 ∀j ∈ I≤, yj ≤ 0 ∀j ∈ I≥, yj ∈ R ∀j ∈ I= which corresponds to residual convention bj − a⊤ j x

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:52.191477Z

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 febe6e0d-50fb-4816-a20c-e51d7461a696 · outbound

This paper cites an unresolved cited work.

DualSchool: How Reliable are LLMs for Optimization Education? Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:52.099138Z

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 406ed528-5489-4b44-b2d1-1eefdce763b4 · outbound

This paper cites yj ≥ 0 ∀j ∈ I≤ yj ≤ 0 ∀j ∈ I≥ yj ∈ R ∀j ∈ I= =⇒ max y b⊤y s.t.

DualSchool: How Reliable are LLMs for Optimization Education? yj ≥ 0 ∀j ∈ I≤ yj ≤ 0 ∀j ∈ I≥ yj ∈ R ∀j ∈ I= =⇒ max y b⊤y s.t

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:51.970446Z

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 9532cb6b-5e81-43f2-95ba-27f42e3fc98f · outbound

This paper cites This is due to the fact that variable bounds are included in the constraint nodes.

DualSchool: How Reliable are LLMs for Optimization Education? This is due to the fact that variable bounds are included in the constraint nodes

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:51.711452Z

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 716728aa-4e13-4284-ad4e-74f096237710 · outbound

This paper cites This allows to consider equivalent lj ≤ a⊤ j x ≤ uj ⇐ ⇒ −uj ≤ −a⊤ j x ≤ −lj and a⊤ j x = bj ⇐ ⇒ −a⊤ j x = −bj.

DualSchool: How Reliable are LLMs for Optimization Education? This allows to consider equivalent lj ≤ a⊤ j x ≤ uj ⇐ ⇒ −uj ≤ −a⊤ j x ≤ −lj and a⊤ j x = bj ⇐ ⇒ −a⊤ j x = −bj

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:26:51.551884Z

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 4bba6c96-c4e8-4d86-be9d-217ede48cc67 · outbound

This paper cites an unresolved cited work.

DualSchool: How Reliable are LLMs for Optimization Education? Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:51.355748Z

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 3967289e-227d-4fba-9d1b-135715a4803d · outbound

This paper cites an unresolved cited work.

DualSchool: How Reliable are LLMs for Optimization Education? Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:26:51.243538Z

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 7f0902be-3d68-4a59-a40c-24e11da01c81 · outbound

This paper cites know” how to dualize an LP, the authors prompt and manually evaluate each model’s response to “How do you convert a primal linear program to its dual?.

DualSchool: How Reliable are LLMs for Optimization Education? know” how to dualize an LP, the authors prompt and manually evaluate each model’s response to “How do you convert a primal linear program to its dual?

Reference 44

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T13:26:51.069537Z

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.

Pith citing papers

Observation e34b5869-58d2-4d90-ba23-c8250f91cccb · inbound

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? cites this paper.

VArsity: Can Large Language Models Keep Power Engineering Students in Phase? DualSchool: How Reliable are LLMs for Optimization Education?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T13:10:46.717855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e07bfb65-d1f3-421f-a13f-875e48e8c0dd · inbound

LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection cites this paper.

LISTEN to Your Preferences: An LLM Framework for Multi-Objective Selection DualSchool: How Reliable are LLMs for Optimization Education?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T07:40:00.713203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c293a48a-2710-4545-bc38-0c6f252f6ee4 · inbound

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches cites this paper.

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches DualSchool: How Reliable are LLMs for Optimization Education?

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:08:12.214458Z

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 fac8aae6-c9df-4a6c-9081-b5f37c618ba9 · inbound

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches cites this paper.

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches DualSchool: How Reliable are LLMs for Optimization Education?

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:05:47.327809Z

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 7155b2db-790f-4164-b0a8-7c089d515a24 · inbound

Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits cites this paper.

Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits DualSchool: How Reliable are LLMs for Optimization Education?

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T20:26:11.551420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.