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Paper Citation Record · LEDGER

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.20660.

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

pith.paper-citation-record.v1
2504.20660 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:16.447227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:53:58.100680Z

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 6572b784-e002-416c-bc0a-23d438616bf2 · inbound

Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal cites this paper.

Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T23:49:16.447227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.447227Z digest=sha256:f816846adf532a7acd029b76b7c51c99d1771d9124db80e29e12fe9e3d5705bb

Observation 4f21c180-8380-43eb-a36e-4e168bd232cc · inbound

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation cites this paper.

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:53:58.102526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T04:50:37.976670Z digest=sha256:462ea79926cf3f6861e3d01dd245199a94125beccbdad062a9360442d4558ddf

Observation 7ce401e9-8f10-4ea3-8654-a024e87f3233 · inbound

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation cites this paper.

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T13:36:12.265685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:36:12.265685Z digest=sha256:d471cb6115cac7087789e5b34111281145eefdfcaeafd7659b81a70abe6fd9cd