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Paper Citation Record · LEDGER

A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.07054.

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

pith.paper-citation-record.v1
2401.07054 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:34:52.316203Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T08:06:04.135637Z

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 eafd51d9-701c-4c80-b28f-b29eb3541a46 · inbound

Unitary Synthesis with AlphaZero via Dynamic Circuits cites this paper.

Unitary Synthesis with AlphaZero via Dynamic Circuits A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T14:34:52.316203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:34:52.316203Z digest=sha256:680b274037978005e2c7a40ac5ae3f094ed5e7c8fc29b11ae7a50aa6d4a1588a

Observation 5c2f2cdd-e8ec-43fc-b038-dd5d11f1c004 · inbound

Quantum Architecture Search for Solving Quantum Machine Learning Tasks cites this paper.

Quantum Architecture Search for Solving Quantum Machine Learning Tasks A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T16:59:46.311513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:59:46.311513Z digest=sha256:4a6a1d929d50302e3858c3a3516b51ab8d189a6fb01e4dfb42d62bd1863c823d

Observation 79458624-6967-4770-bf9d-93f27b37dc40 · inbound

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning cites this paper.

Investigation of Automated Design of Quantum Circuits for Imaginary Time Evolution Methods Using Deep Reinforcement Learning A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:02.847934Z

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.

source=pdf_text observed=2026-05-10T17:55:44.044291Z digest=sha256:02a7a1331610b0494341b96f70b8f29d6b0c2630dc3f434884aa66886f395f04

Observation 31d7a9bc-3a05-4727-967e-a3849f6c732b · inbound

Generative Quantum Data Embeddings for Supervised Learning cites this paper.

Generative Quantum Data Embeddings for Supervised Learning A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-01T19:36:09.459190Z

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.

source=pdf_text observed=2026-06-28T22:10:38.902738Z digest=sha256:edb7637bb0fb1a53e6976bb055a3d34ec6e4e2dfffd03dad478395504ec18e31

Observation da7eb9ea-6e7e-4aa4-8da0-6756e0f999f4 · inbound

RubriQ: Rubric-Guided Group Relative Policy Optimization for Constraint-Aware Quantum Circuit Synthesis cites this paper.

RubriQ: Rubric-Guided Group Relative Policy Optimization for Constraint-Aware Quantum Circuit Synthesis A Reinforcement Learning Environment for Directed Quantum Circuit Synthesis

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T08:06:04.137110Z

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.

source=pdf_text observed=2026-07-09T07:56:58.081635Z digest=sha256:229ce4471edc8be438d5833b64275be69dda9ef453cd3c47a20ea88890a4e403