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Paper Citation Record · LEDGER

Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.23659.

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

pith.paper-citation-record.v1
2503.23659 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:33.672906Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:52:16.149681Z

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 3ecb268f-112b-4e25-aad7-2b16cee69574 · inbound

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems cites this paper.

Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:07:33.672906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:07:33.672906Z digest=sha256:3119555d64132c2cb968c3edd1e6189fb7f2958b682ccbe67d952794dcd42671

Observation 28601e90-851e-43f7-8a92-286ce1ac6b40 · inbound

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures cites this paper.

Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:52:16.230324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T13:52:15.361937Z digest=sha256:84f34b82204f1c436c2f5fbe99d1b3018fb5ec6bd9915d5e8e82d5e33d2c64d8