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Paper Citation Record · LEDGER

Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.08845.

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

pith.paper-citation-record.v1
2412.08845 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:00:36.713493Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:00:37.327275Z

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 aa111b07-0a87-42f9-9797-91f3e20849bf · inbound

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data cites this paper.

Quantum Feature Optimization for Enhanced Clustering of Blockchain Transaction Data Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:00:37.453171Z

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=2026-08-07T15:00:36.713493Z digest=sha256:c6512f49c7fcf858733950e30d1208e8f6de155d6ed936c24215bbebac14103b

Observation f4edbc69-34e5-40e3-b6c0-f6f25e1f3ae1 · inbound

A Survey on Integrating Quantum Computers into High Performance Computing Systems cites this paper.

A Survey on Integrating Quantum Computers into High Performance Computing Systems Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T20:11:26.440907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:11:26.440907Z digest=sha256:1dbad3dc6f9c8120c553273e6cf588c105aa1737992b88e23abf4f83623e3032