Paper Citation Record · LEDGER

Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.09344.

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

pith.paper-citation-record.v1
2504.09344 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:22.282467Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:04:25.136534Z

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 c354fb75-d153-45ba-9df5-a74c6f6a9e68 · inbound

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models cites this paper.

Context-Guided Dynamic Retrieval for Improving Generation Quality in RAG Models Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T05:56:22.282467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d1ec9b-cbed-4722-9464-e35fc2fa64d3 · inbound

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning cites this paper.

Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:08.803016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9496c1b-dfd4-4c40-beb8-67fb47ac20ec · inbound

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning cites this paper.

Intelligent Task Scheduling for Microservices via A3C-Based Reinforcement Learning Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:49:08.724910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebdf46df-c15e-48b0-a3e6-e8c0f5db4a54 · inbound

DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems cites this paper.

DeepSORT-Driven Visual Tracking Approach for Gesture Recognition in Interactive Systems Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:26:28.290634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc8b80c-3e61-4d38-ae5b-aa9c2a89d9c3 · inbound

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks cites this paper.

Deep Probabilistic Modeling of User Behavior for Anomaly Detection via Mixture Density Networks Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:04:25.143980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d295dcb7-0d27-4024-a2ba-b35486990619 · inbound

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift cites this paper.

Optimal Resource Allocation for ML Model Training and Deployment under Concept Drift Context-Aware Adaptive Sampling for Intelligent Data Acquisition Systems Using DQN

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:18.862172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.