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Paper Citation Record · LEDGER

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits

As of 5 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2605.30358.

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

pith.paper-citation-record.v1
2605.30358 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T08:35:24.708864Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

47 of 47 outbound references displayed

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External citation measurements

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Outbound references

Observation 5a572620-3227-4950-b224-ced589348528 · outbound

This paper cites Quantum chemistry in the age of quantum computing.Chemical reviews, 119(19):10856–10915.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quantum chemistry in the age of quantum computing.Chemical reviews, 119(19):10856–10915

Reference 1

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Observation db8e3bf0-4bc9-43f4-9795-b08a0954dbc4 · outbound

This paper cites Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry.Nature communications, 14(1):1952, 2023.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry.Nature communications, 14(1):1952, 2023

Reference 2

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Observation abd9cc1e-b6e9-455a-a997-97cae58fa886 · outbound

This paper cites Challenges and opportunities in quantum optimization.Nature Reviews Physics, 6(12):718–735, 2024.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Challenges and opportunities in quantum optimization.Nature Reviews Physics, 6(12):718–735, 2024

Reference 3

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Observation c435c860-fb5f-43a6-87e1-a046cafab7db · outbound

This paper cites Challenges and opportunities in quantum machine learning.Nature computational science, 2 (9):567–576, 2022.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Challenges and opportunities in quantum machine learning.Nature computational science, 2 (9):567–576, 2022

Reference 4

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:d740630f6e670a1660aa61e7d2adbb766e58baac78beb34271a06db36205c6cc

Observation 724f535d-500b-466b-bc90-512a62d78855 · outbound

This paper cites Quantum machine learning.Nature, 549(7671):195–202.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quantum machine learning.Nature, 549(7671):195–202

Reference 5

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:e683400ebd16c6ec8e168b51449e08dd7163efbf283448796f4019621aa53f30

Observation 60cf3fbe-086f-4651-8d60-827123b705cd · outbound

This paper cites The complexity of nisq.Nature Communications, 14(1):6001.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits The complexity of nisq.Nature Communications, 14(1):6001

Reference 6

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Observation 3643d98a-2655-4014-9c79-2cb35950469d · outbound

This paper cites Quantum computing in the nisq era and beyond.Quantum, 2:79.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quantum computing in the nisq era and beyond.Quantum, 2:79

Reference 7

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:7d80f568dbff1561c78dc4f8efc2f5327227cd13984b62df30e1cc33d779435a

Observation 272552c4-03b7-48a6-a5d8-552847c1c894 · outbound

This paper cites An introduction to quantum error correction and fault-tolerant quantum computation.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits An introduction to quantum error correction and fault-tolerant quantum computation

Reference 8

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:4987c213ced36323cc7986fea04b7db44a23707630d01d64a64ae9fca414d1bb

Observation 57553123-9ef4-4dc6-bc7a-1ebc8e0f275d · outbound

This paper cites Fault-tolerant quantum dynamical decoupling.Physical review letters, 95(18):180501, 2005.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Fault-tolerant quantum dynamical decoupling.Physical review letters, 95(18):180501, 2005

Reference 9

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:cdd797404b947fbf2c1cb6112724be05692e4d00875b95e31ced10406717cdf1

Observation cb990eb6-001e-4566-830b-dfe5ebbc2356 · outbound

This paper cites Randomized benchmarking of quantum gates.Physical Review A—Atomic, Molecular, and Optical Physics, 77(1):012307.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Randomized benchmarking of quantum gates.Physical Review A—Atomic, Molecular, and Optical Physics, 77(1):012307

Reference 10

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:2b05c5b693136a0be4d3944c381134a233594115f2ea7be4cb0980fc383cec0f

Observation bbb9e7e1-971b-4e9b-9810-0f062c7d0d48 · outbound

This paper cites Noise spectroscopy through dynamical decoupling with a superconducting flux qubit.Nature Physics, 7(7):565–570, 2011.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Noise spectroscopy through dynamical decoupling with a superconducting flux qubit.Nature Physics, 7(7):565–570, 2011

Reference 12

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:48157bfd538a7f3c87a36e8e07a756b8d097545862087183aa4b64ebce6556fd

Observation 78bf1a70-1540-4345-8ef7-f0285642eb93 · outbound

This paper cites Decoherence benchmarking of superconducting qubits.npj Quantum Information, 5(1):54, 2019.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Decoherence benchmarking of superconducting qubits.npj Quantum Information, 5(1):54, 2019

Reference 13

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:995855d78d41fa37c44472de3fc53333ad846a168219eff141715a2b0979f6d1

Observation 7f137d3c-1d74-4302-ab73-fcd12aaa54d6 · outbound

This paper cites Detecting and tracking drift in quantum information processors.Nature communications, 11(1):5396, 2020.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Detecting and tracking drift in quantum information processors.Nature communications, 11(1):5396, 2020

Reference 14

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Observation 4a8845d2-e46e-41a3-83b2-fcef03f4a477 · outbound

This paper cites Quantum computing with Qiskit.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quantum computing with Qiskit

Reference 15

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local_arxiv, observed 2026-07-01T08:35:33.322774Z

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:4e3c023c3aedb2d6fd44697c57e6b28b551f427e33d7d81f4147f1439cbebf82

Observation 1f90b555-f7f4-4e0c-b7d7-b392e97b52dc · outbound

This paper cites 2025.Cirq.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits 2025.Cirq

Reference 16

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Observation d0e39d2e-ff79-48b3-b1bf-b73f72afaa5d · outbound

This paper cites PennyLane: Automatic differentiation of hybrid quantum-classical computations.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits PennyLane: Automatic differentiation of hybrid quantum-classical computations

Reference 17

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local_arxiv, observed 2026-07-01T08:35:33.323094Z

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:bc271dd68786844fdffc257b38d1914526dd9e5dd51e27ea87c761f5d33aba0e

Observation 594ed661-e801-4e66-8f85-f536538e7249 · outbound

This paper cites Openqasm 3: A broader and deeper quantum assembly language.ACM Transactions on Quantum Computing, 3 (3):1–50, 2022.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Openqasm 3: A broader and deeper quantum assembly language.ACM Transactions on Quantum Computing, 3 (3):1–50, 2022

Reference 18

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Observation d2f4e10c-7b09-42ed-8516-de4d6a9041e1 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 19

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Observation d7b10ef3-6e70-4029-89b8-5c49c2bec1dd · outbound

This paper cites Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Raising the bar on SWE-bench Verified with Claude 3.5 Sonnet

Reference 20

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:f7591ca38daf792f20a9e5fd6551d1a1858bf08c7a7ca76b3c04d5dccec855eb

Observation 43ad6217-9354-44e9-b067-f61c2fd824f2 · outbound

This paper cites Using an llm to help with code understanding.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Using an llm to help with code understanding

Reference 21

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:8bc638229c4a8b16e8eb9d6dcae4f3ad8368e1244a43cb64c190cdb906f477e4

Observation d71118a7-52b7-44a4-93f2-114dd0c05aa2 · outbound

This paper cites A survey on llm-based code generation for low-resource and domain-specific programming languages.ACM Transactions on Software Engineering and Methodology, 2024.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits A survey on llm-based code generation for low-resource and domain-specific programming languages.ACM Transactions on Software Engineering and Methodology, 2024

Reference 22

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:d36ef4330e7c5f30f5927b26311a196790d30dc98f3f4f3570b9b20623aabda7

Observation 527f79ce-48ff-42f4-8952-825958acfb05 · outbound

This paper cites VeriQBench: A Benchmark for Multiple Types of Quantum Circuits.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits VeriQBench: A Benchmark for Multiple Types of Quantum Circuits

Reference 23

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arxiv_id, observed 2026-07-01T08:35:33.300631Z

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:54d1663c53f12796d16e7f3bd7bcbe0f21e52e1351956b1362d6e912386ef3e4

Observation a1f30b91-5e03-4376-86ac-e8d99214702b · outbound

This paper cites Qasmbench: A low-level quantum benchmark suite for nisq evaluation and simulation.ACM Transactions on Quantum Computing, 4(2), February 2023.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Qasmbench: A low-level quantum benchmark suite for nisq evaluation and simulation.ACM Transactions on Quantum Computing, 4(2), February 2023

Reference 24

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doi, observed 2026-07-01T08:35:33.110769Z

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:6379de22f7628c83e07883f2c0f23a40e56b0d2d8a5da741159bcb207d6eea84

Observation 6d9d8438-05ea-46f4-9308-efa221e68e5e · outbound

This paper cites Qcircuitnet: A large-scale hierarchical dataset for quantum algorithm design.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Qcircuitnet: A large-scale hierarchical dataset for quantum algorithm design

Reference 25

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arxiv_id, observed 2026-07-01T08:35:33.317551Z

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:10283e00a8a5dcb82b317f0dd3a0f04a8ed12b8cab22b917ddf842f14497bf03

Observation 3d8ec252-d1f9-47d0-956d-3b80397ced6e · outbound

This paper cites Agent-q: fine-tuning large language models for quantum circuit generation and optimization.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Agent-q: fine-tuning large language models for quantum circuit generation and optimization

Reference 26

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:0fa80d0556296d3558d7e9da2c85b616757bad5cc021f9dc1f12ad8538d882a7

Observation b1d54be7-2fd1-4017-b8a9-3b11b6dcf188 · outbound

This paper cites Realization of real-time fault-tolerant quantum error correction.Physical Review X, 11(4): 041058, 2021.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Realization of real-time fault-tolerant quantum error correction.Physical Review X, 11(4): 041058, 2021

Reference 27

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:e539c3ae0de742dd06ebed2f3d1c0c4be76286019959becc2cd7042d06973058

Observation c944e345-178a-4386-9d91-cd66db6f598e · outbound

This paper cites Probing context-dependent errors in quantum processors.Physical Review X, 9 (2):021045, 2019.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Probing context-dependent errors in quantum processors.Physical Review X, 9 (2):021045, 2019

Reference 28

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:b8b8cfd786e6e4d7cceb33ea13259228ab7f82ad6d9b9277451e1837557d5170

Observation 24790af7-4cc0-4215-927c-dac62a257167 · outbound

This paper cites Quantum circuit engineering for correcting coherent noise.Physical Review A, 105(2):022428, 2022.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quantum circuit engineering for correcting coherent noise.Physical Review A, 105(2):022428, 2022

Reference 29

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:8706eae6d3f0ee2aa23c67ebe6f173ce87042774abaaa6553401fe51e605762e

Observation c9d3eb85-332d-4273-be5c-def21ec345ea · outbound

This paper cites A quantum engineer’s guide to superconducting qubits.Applied physics reviews, 6(2), 2019.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits A quantum engineer’s guide to superconducting qubits.Applied physics reviews, 6(2), 2019

Reference 30

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:7811d1a0c0146ae8c4750693c799dfc1c8eae33c6a291f74b816b807899fa43e

Observation b1925de1-1251-4f2c-b373-4b36d5c58259 · outbound

This paper cites Robust quantum error syndrome extraction by classical coding.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Robust quantum error syndrome extraction by classical coding

Reference 31

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source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:1950d30d5f69b99e1f67395f5a12781c3f44cb5ea011a8ca09c3ad07b0dfb60a

Observation 9f945fe5-eaec-49cc-8b79-4115c9ddf389 · outbound

This paper cites Low-depth flag-style syndrome extraction for small quantum error-correction codes.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Low-depth flag-style syndrome extraction for small quantum error-correction codes

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:1ca21159031a0287bbac6dff73000a19d644daa1ff800872a429f596f38b6dc3

Observation 8174e9f6-76a3-4277-9e8b-cff92e702f86 · outbound

This paper cites Optimal control of coupled spin dynamics: design of nmr pulse sequences by gradient ascent algorithms.Journal of magnetic resonance, 172(2):296–305, 2005.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Optimal control of coupled spin dynamics: design of nmr pulse sequences by gradient ascent algorithms.Journal of magnetic resonance, 172(2):296–305, 2005

Reference 33

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raw_fallback, observed 2026-07-06T13:02:30.934641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:49e49a0ce232dc66b5ff5304053b34966821bf06427b02b27802cc4c4398697c

Observation 5e9f75a1-6fb8-4b11-ad9c-67b82123f63c · outbound

This paper cites Simple pulses for elimination of leakage in weakly nonlinear qubits.Physical review letters, 103(11):110501, 2009.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Simple pulses for elimination of leakage in weakly nonlinear qubits.Physical review letters, 103(11):110501, 2009

Reference 34

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raw_fallback, observed 2026-07-06T13:02:30.950059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:3bcf7d749bd19d74d56ae9a71b8206091caa4f5de28f38c3074662e5e14f75f1

Observation 5e526d7e-f9a3-491b-a0fb-d6aa5f1a64bd · outbound

This paper cites Qdataset, quantum datasets for machine learning.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Qdataset, quantum datasets for machine learning

Reference 35

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raw_fallback, observed 2026-07-06T13:02:30.943305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:bbd506af89ef7d89cdbd2638d04a33e75665bb5c979b0ee680b54ac1a58ac75b

Observation 7ee678dc-782f-4324-960f-0b5496392dc1 · outbound

This paper cites Qiskit humaneval: An evaluation benchmark for quantum code generative models.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Qiskit humaneval: An evaluation benchmark for quantum code generative models

Reference 36

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raw_fallback, observed 2026-07-06T13:02:30.941665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:c7a5bc9bd4772d5e201a3db64758411410665b4982dbdd04dc2a43996e00738c

Observation 6cb510b2-961c-4468-8056-772300a4e53a · outbound

This paper cites Quanbench: Benchmarking quan- tum code generation with large language models.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quanbench: Benchmarking quan- tum code generation with large language models

Reference 37

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arxiv_id, observed 2026-07-01T08:35:33.326082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:29ccd80cbc1b0d8070ebde27c7f9429223c0940cc86360542e6e7622d8f737ae

Observation ce1ab678-ebe1-40b9-9eb9-9821f9e5deef · outbound

This paper cites Mqt bench: Benchmarking software and design automation tools for quantum computing.Quantum, 7:1062.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Mqt bench: Benchmarking software and design automation tools for quantum computing.Quantum, 7:1062

Reference 38

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raw_fallback, observed 2026-07-06T13:02:30.976858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:e9098cfde455fbf50490ec8b7499af1d3b29e45de50623f70e65f9ee35054e6b

Observation 115c0d08-ebf5-4949-8c1f-564d8b382cc5 · outbound

This paper cites Infochartqa: A benchmark for multimodal question answering on infographic charts, 2025.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Infochartqa: A benchmark for multimodal question answering on infographic charts, 2025

Reference 39

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verified exact
arxiv_id, observed 2026-07-01T08:35:33.320367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:0e8811b091b6e1b73df2530402a33d071dc6603fe0f38c54b318207e3a40929b

Observation 3bcb69ed-e434-4381-bd5c-bc7b0d099c7b · outbound

This paper cites WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch

Reference 40

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verified exact
arxiv_id, observed 2026-07-01T08:35:33.308090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:4af7c6e132cd436d53b3adf658372feaf6cc6fc704e0d8d1cf336a2a78557f94

Observation 213fe2ba-1144-46cd-be7d-ae777e3301a1 · outbound

This paper cites Astro- visbench: A code benchmark for scientific computing and visualization in astronomy.arXiv preprint arXiv:2505.20538, 2025.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Astro- visbench: A code benchmark for scientific computing and visualization in astronomy.arXiv preprint arXiv:2505.20538, 2025

Reference 41

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arxiv_id, observed 2026-07-01T08:35:33.315205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:d83bfecb6a12b2eaa9b96c3d88953d060da1274678452c1a9645343cf0c8baad

Observation 2ee3abbb-b95e-4afa-8f89-511d1ebcc998 · outbound

This paper cites Openqasm 3 feature table, 2026.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Openqasm 3 feature table, 2026

Reference 42

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raw_fallback, observed 2026-07-06T13:02:30.948296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:0a639d23641d5f502e183df9b5d29931377bc9187caf3786f0889d513b1e5801

Observation a4208f1d-43de-45e9-86c0-57efcaf2481b · outbound

This paper cites Qutip 5: The quantum toolbox in python.Physics Reports, 1153:1–62, 2026.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Qutip 5: The quantum toolbox in python.Physics Reports, 1153:1–62, 2026

Reference 43

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verified fuzzy
raw_fallback, observed 2026-07-06T13:02:30.945033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:ea20273bdc1d1c70524b9e703f2cbb8cf5477c92f7b6dc5c46137acf120ba1f0

Observation 5debbb16-5063-461d-874d-48224fac5bd7 · outbound

This paper cites Language Models are Few-Shot Learners.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Language Models are Few-Shot Learners

Reference 44

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local_arxiv, observed 2026-07-01T08:35:33.311419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:9fda234a8ad80438276a1d902759dedf27770d35d6f3929e07f6507ea51450b4

Observation be7e3fcc-2439-42c4-8aaa-11b8aae0c517 · outbound

This paper cites Qiskit code assistant: Training llms for generating quantum computing code.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Qiskit code assistant: Training llms for generating quantum computing code

Reference 45

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raw_fallback, observed 2026-07-06T13:02:30.946770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:fb9ce346915bbf9ff6cb377b1b9216d5192dae33c14646cfd23c22d1854722db

Observation 85cb5c49-3032-4371-89e1-75e38e5548cb · outbound

This paper cites Enhancing llm-based quantum code generation with multi-agent optimization and quantum error correction.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Enhancing llm-based quantum code generation with multi-agent optimization and quantum error correction

Reference 46

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raw_fallback, observed 2026-07-06T13:02:30.939920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:f926f8f634d75b449d37e81221967db506b39458df1fee0849ecfe23b4ebd451

Observation 5d41557c-2a5e-4d8c-99ad-5116710ef3f2 · outbound

This paper cites A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits A PennyLane-Centric Dataset to Enhance LLM-based Quantum Code Generation using RAG

Reference 47

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local_arxiv, observed 2026-07-01T08:35:33.325327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:eded55fe547412dcac4ed3dc985d002f4d7b90fb1fc159c5b4111a1e5983660c

Observation 563b1d00-a764-4976-9c2f-cb6954d4042c · outbound

This paper cites Quasar: Quantum assembly code generation using tool-augmented llms via agentic rl.

QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits Quasar: Quantum assembly code generation using tool-augmented llms via agentic rl

Reference 48

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arxiv_id, observed 2026-07-01T08:35:33.318149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-01T08:35:24.708864Z digest=sha256:4374e831885148872db8bd7462519f7519576185b84e3711e8c42538d1afc71d

Pith citing papers

No inbound Pith citation observations are available.