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Paper Citation Record · LEDGER

Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.11638.

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

pith.paper-citation-record.v1
2503.11638 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:37:09.420918Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:09:59.404683Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ef810fec-ac10-403c-a1d9-74150544c45d · inbound

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models cites this paper.

Synthesis of discrete-continuous quantum circuits with multimodal diffusion models Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:42:15.937951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-19T11:39:14.375702Z digest=sha256:5ce380c6bf6fea68df925bfd25e40f9a3e1e7920588d2cea42f9eece411114b0

Observation 1b438c6a-197b-40fc-96ef-e414f1c9741d · inbound

Real-time adaptive quantum error correction by model-free multi-agent learning cites this paper.

Real-time adaptive quantum error correction by model-free multi-agent learning Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T10:37:09.420918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:37:09.420918Z digest=sha256:caed399384d20eb731b1def81dcc08671e619af92af3ba773f100b8da5f161fd

Observation 26868c1b-a25c-4315-8131-cfdad9a71fb9 · inbound

Learning to Concatenate Quantum Codes cites this paper.

Learning to Concatenate Quantum Codes Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:04.301907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T10:57:29.010024Z digest=sha256:ded8af71ade9e7e7d439eb52a384baa2232a0cc21ff008edd644bd208e697453

Observation 7b90e7f5-ba85-433d-95aa-f97ea0a0221e · inbound

Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution cites this paper.

Large-Language-Model Discovery of Quantum LDPC Codes through Structured Concept Evolution Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:09:59.406354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-25T23:52:24.977996Z digest=sha256:c9eb7fd60a21b319036e6b957fc5e0439dc2912ffcabb3aba66adaea25cc3948

Observation 89b601ce-f613-4987-94ea-b39b6081ce61 · inbound

HamQASBench: A Hamiltonian-Informed Diagnostic Benchmark for Evaluating Quantum Architecture Search cites this paper.

HamQASBench: A Hamiltonian-Informed Diagnostic Benchmark for Evaluating Quantum Architecture Search Scaling the Automated Discovery of Quantum Circuits via Reinforcement Learning with Gadgets

Reference 29

Resolution
unresolved
no resolver link, observed 2026-07-11T12:38:26.980658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:38:26.980658Z digest=sha256:e24b345294b12903ed69ed9a2229d00c68e053230ed6c6d109cd9829c78aee9a