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Paper Citation Record · LEDGER

Aligning Quantum Operators with Large Language Models

As of 15 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.13811.

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

pith.paper-citation-record.v1
2606.13811 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:40:18.083277Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9155d30-befa-4831-8abd-1c737da273ce · outbound

This paper cites Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant.

Aligning Quantum Operators with Large Language Models Quantum Verifiable Rewards for Post-Training Qiskit Code Assistant

Reference 1

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source=pdf_text observed=2026-08-02T11:40:15.001156Z digest=sha256:db73da214724b19b2fa39dfd798b9787c44cc0a77b1079b9fd4be74c5369d01c

Observation 6b34b2a5-541c-4c5f-844d-0025d5a66bfe · outbound

This paper cites Granite-3.2-8B-Qiskit,.

Aligning Quantum Operators with Large Language Models Granite-3.2-8B-Qiskit,

Reference 2

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source=pdf_text observed=2026-08-02T11:40:15.121659Z digest=sha256:3136f502480341ff355f4453c3d82aef29c4ddaed64fd48c2b391511811e6f13

Observation dd58c7e2-9061-4704-a024-f6b0c43fdead · outbound

This paper cites Exploring llm-driven expla- nations for quantum algorithms,.

Aligning Quantum Operators with Large Language Models Exploring llm-driven expla- nations for quantum algorithms,

Reference 3

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source=pdf_text observed=2026-08-02T11:40:15.242230Z digest=sha256:c1af2f393a64db59988d756a6cc3dbf7e9a7a464ac6db971e4f58ff1a3474418

Observation 6bfa3696-3474-42b2-bc84-db988d052fe5 · outbound

This paper cites QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming.

Aligning Quantum Operators with Large Language Models QAgent: An LLM-based Multi-Agent System for Autonomous OpenQASM programming

Reference 4

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source=pdf_text observed=2026-08-02T11:40:15.336729Z digest=sha256:c1c977cda61092ac28bef3f7fdc807c09eec877c186a4892aa251c74569f9eb2

Observation 029e6395-5a5c-4012-9407-038af2f9c0eb · outbound

This paper cites Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence.

Aligning Quantum Operators with Large Language Models Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence

Reference 5

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source=pdf_text observed=2026-08-02T11:40:15.463160Z digest=sha256:8f0bb9016b8ffa551683b91fbba2cd615c06fbd96a1fc269ca791c2897334a46

Observation 517a065b-5611-48cb-b158-7a9d5324de1f · outbound

This paper cites Visual instruction tuning,.

Aligning Quantum Operators with Large Language Models Visual instruction tuning,

Reference 6

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source=pdf_text observed=2026-08-02T11:40:15.651460Z digest=sha256:860728b91fa1a2986f9f518392ef69542cf267f3650d4d3c42dafd9e04a21949

Observation 74b691ff-6ffc-448a-8cf8-7bb64f11449e · outbound

This paper cites Synthetiq: Fast and versatile quantum circuit synthesis,.

Aligning Quantum Operators with Large Language Models Synthetiq: Fast and versatile quantum circuit synthesis,

Reference 7

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source=pdf_text observed=2026-08-02T11:40:15.758475Z digest=sha256:1fe70cf9b9bcaf9e39b200e7a6184df8299d51487cfb80642bafc5771c37257a

Observation b04b1c22-af81-4eb3-a29f-f25a8fe0bc21 · outbound

This paper cites Unitary synthesis of clifford+ t circuits with reinforcement learning,.

Aligning Quantum Operators with Large Language Models Unitary synthesis of clifford+ t circuits with reinforcement learning,

Reference 8

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source=pdf_text observed=2026-08-02T11:40:15.872446Z digest=sha256:db6661763d37ae2dbaaf1fbee6e9d4d6262d1b8c35a10f4c96ae5f5a750cfe42

Observation e9aa95bc-5169-407c-b56b-d7b753156990 · outbound

This paper cites Qiskit humaneval: An evaluation benchmark for quantum code generative mod- els,.

Aligning Quantum Operators with Large Language Models Qiskit humaneval: An evaluation benchmark for quantum code generative mod- els,

Reference 9

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source=pdf_text observed=2026-08-02T11:40:15.966077Z digest=sha256:da089622f0deaada35880cac91333eb6cb3126b835604208633c329a8a4f0284

Observation 80707f35-7d24-4400-b386-5ff2d7e6fb54 · outbound

This paper cites Ketgpt–dataset augmenta- tion of quantum circuits using transformers,.

Aligning Quantum Operators with Large Language Models Ketgpt–dataset augmenta- tion of quantum circuits using transformers,

Reference 10

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source=pdf_text observed=2026-08-02T11:40:16.037730Z digest=sha256:c2d82b00fd283c8d0785cfd7245ff6d91d9f4f5f5a3cb4a033f11f25f9632b22

Observation 0e90a0b3-c71c-4a55-9a37-e19213f73c53 · outbound

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

Aligning Quantum Operators with Large Language Models Agent-q: fine-tuning large language models for quantum circuit generation and optimization,

Reference 11

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source=pdf_text observed=2026-08-02T11:40:16.127479Z digest=sha256:881168472dc3eb415ce5fae454c1dcdcc19e9a7052cb60269c7917614968c69f

Observation ce6afcbd-258c-4851-846c-1947e87e9ff2 · outbound

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

Aligning Quantum Operators with Large Language Models Quasar: Quantum assembly code generation using tool-augmented llms via agentic rl,

Reference 12

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source=pdf_text observed=2026-08-02T11:40:16.257435Z digest=sha256:fdbdb70dfba66d015cd38e995b2ad3b3e2739f2ec1430b070ee73bf6d803c10f

Observation ced91214-bb03-4504-a523-83d14316597c · outbound

This paper cites QuantumLLMInstruct: A 500k LLM Instruction-Tuning Dataset with Problem-Solution Pairs for Quantum Computing.

Aligning Quantum Operators with Large Language Models QuantumLLMInstruct: A 500k LLM Instruction-Tuning Dataset with Problem-Solution Pairs for Quantum Computing

Reference 13

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source=pdf_text observed=2026-08-02T11:40:16.446364Z digest=sha256:b45c25ee81f86cb74547729feb2bd6696098c6933819c5b17a71bd0998de272b

Observation 8c11d0f4-91d9-4bfe-aa59-a82bc4a5efb5 · outbound

This paper cites Synthesis of unitaries with Clifford+T circuits,.

Aligning Quantum Operators with Large Language Models Synthesis of unitaries with Clifford+T circuits,

Reference 14

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source=pdf_text observed=2026-08-02T11:40:16.543875Z digest=sha256:7d223b4e6bb2fcc14a8c0d96f2ee821698017e79d499facb6ff62e04a8d2b1d7

Observation f6939648-5a6c-4382-a5eb-02feb96ce439 · outbound

This paper cites Representation of Quantum Circuits with Clifford and $\pi/8$ Gates.

Aligning Quantum Operators with Large Language Models Representation of Quantum Circuits with Clifford and $\pi/8$ Gates

Reference 15

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source=pdf_text observed=2026-08-02T11:40:16.672343Z digest=sha256:1eb2592f5b0fcf1b9673072768b402c680d9de682f0f7635e4e4a36f353e5742

Observation bd7a7e4a-9044-464b-bcd9-97844a60f264 · outbound

This paper cites Optimal ancilla-free Clifford+T approxima- tion of z-rotations,.

Aligning Quantum Operators with Large Language Models Optimal ancilla-free Clifford+T approxima- tion of z-rotations,

Reference 16

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source=pdf_text observed=2026-08-02T11:40:16.764546Z digest=sha256:ff5b0664349c56901364e0ac3f485709a51d0bfaecd3f3f0503029acdb0acb20

Observation 92de193a-06e0-41f8-a3db-07a1d984c0e3 · outbound

This paper cites Practical approximation schemes for single-qubit unitaries,.

Aligning Quantum Operators with Large Language Models Practical approximation schemes for single-qubit unitaries,

Reference 17

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source=pdf_text observed=2026-08-02T11:40:16.870671Z digest=sha256:af6ef131edfd39372fa13cc5f3dccbb65866aafaa08a150169496cce6042e61b

Observation 23958eea-6fce-46e2-8e1a-245100c5ab68 · outbound

This paper cites The Solovay–Kitaev algorithm,.

Aligning Quantum Operators with Large Language Models The Solovay–Kitaev algorithm,

Reference 18

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source=pdf_text observed=2026-08-02T11:40:17.006764Z digest=sha256:2e6fbdaa31dbbfd19355f562c23fef530311f68f24ffd7ce29eb8a7fcf8ff4a3

Observation c3672549-0f59-40b4-853c-25197bc811fa · outbound

This paper cites Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning.

Aligning Quantum Operators with Large Language Models Practical and efficient quantum circuit synthesis and transpiling with Reinforcement Learning

Reference 19

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source=pdf_text observed=2026-08-02T11:40:17.165878Z digest=sha256:1bec20dae1615b588c9863f4ac8951cd0fd52c2b288d0d20e5656086d06d76b0

Observation ff19f8c0-23fa-45f8-8d35-1bb779647348 · outbound

This paper cites Optimizing the non-Clifford-count in unitary synthesis using reinforcement learning,.

Aligning Quantum Operators with Large Language Models Optimizing the non-Clifford-count in unitary synthesis using reinforcement learning,

Reference 20

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source=pdf_text observed=2026-08-02T11:40:17.307456Z digest=sha256:1ad218698222394c1abd3ea7130d6b3385d1ea437e0228c3198d7b279cde4620

Observation 4b2e202e-db3e-49a9-8487-870f8c458546 · outbound

This paper cites Quantum circuit optimization with alphatensor,.

Aligning Quantum Operators with Large Language Models Quantum circuit optimization with alphatensor,

Reference 21

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source=pdf_text observed=2026-08-02T11:40:17.463290Z digest=sha256:c50c9511b846782dfeb8d549ced8a51dbe640e543cf690f028849ff08c641919

Observation bbb2919b-455c-4331-b2a7-6828a11e4ccd · outbound

This paper cites Quantum circuit synthesis with diffusion models,.

Aligning Quantum Operators with Large Language Models Quantum circuit synthesis with diffusion models,

Reference 22

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source=pdf_text observed=2026-08-02T11:40:17.556480Z digest=sha256:293629f953426f18f780b8c2a32bda11c7b58efff3ee1b9fa36b8545dd5f5bc6

Observation 75c0a4e0-002d-43d5-a483-86e9a81a1c52 · outbound

This paper cites Granite-4.0-micro,.

Aligning Quantum Operators with Large Language Models Granite-4.0-micro,

Reference 23

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source=pdf_text observed=2026-08-02T11:40:17.706508Z digest=sha256:dc3443777f97133ebfe0b80bd628f7f5245f4f16398584ad77e5f700ac5579a1

Observation 2d538b6f-733f-468e-b286-655930d5779c · outbound

This paper cites Beyond reinforcement learning: Fast and scalable quantum circuit synthesis,.

Aligning Quantum Operators with Large Language Models Beyond reinforcement learning: Fast and scalable quantum circuit synthesis,

Reference 24

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source=pdf_text observed=2026-08-02T11:40:17.908274Z digest=sha256:0721c6702bb49b2d15d2b518f0e251b5fe2f6def280d54debc32e9c3f6739c7c

Observation 86423b9a-ee17-4bcb-8f70-c689101d28f9 · outbound

This paper cites DeepSeek-V3 Technical Report.

Aligning Quantum Operators with Large Language Models DeepSeek-V3 Technical Report

Reference 25

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source=pdf_text observed=2026-08-02T11:40:18.083277Z digest=sha256:764a6165376e4f89ba8f143354b8f4eb4ce240a486e7ec166d182087a877eefd

Pith citing papers

No inbound Pith citation observations are available.