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Paper Citation Record · LEDGER

Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.05346.

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

pith.paper-citation-record.v1
2411.05346 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:55:20.915476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T22:49:30.193904Z

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 69199d38-8e1f-46e8-a0e3-9ae257f3df34 · inbound

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation cites this paper.

A Combined Encoder and Transformer Approach for Coherent and High-Quality Text Generation Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T17:55:20.915476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:55:20.915476Z digest=sha256:2cfd512d58a50bc924de8602fb42a2ccaba85c93165b9087e36ee4f9ea7f66c0

Observation 60c3f6e7-baee-41ee-b8b9-6c5a16f86b2b · inbound

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs cites this paper.

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T17:23:20.651094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:23:20.651094Z digest=sha256:22158e24b7725cb06a28138238338db6295499c08fe199b7ebc410316681c9da

Observation e402d33b-3510-4442-9214-d104b7ac2c7c · inbound

Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks cites this paper.

Optimizing Gesture Recognition for Seamless UI Interaction Using Convolutional Neural Networks Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T14:10:42.411739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:10:42.411739Z digest=sha256:d30443507ea74c588ecf79ecaf64ac4bc73a419909461ab5d16f847c3571d2a0

Observation bda43633-c5ff-4b00-be30-e117e2e5347c · inbound

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches cites this paper.

Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-12T13:01:12.857505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:01:12.857505Z digest=sha256:db5cc8bc558ca9e0210e460d9f47aa0689923326337002ea65b47be4f07653cb

Observation 90a9bcbc-02f9-4ac3-af39-d206e67dc586 · inbound

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data cites this paper.

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T11:03:15.175462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:03:15.175462Z digest=sha256:d1ad7908b43f0ba332bc2d16ff1af92fad793ebbecccec200d7bc1fc870d2f51

Observation fa6cb56b-616e-4fa9-af72-c042d2ea9fe0 · inbound

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction cites this paper.

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T23:46:09.700841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:46:09.700841Z digest=sha256:ffbdb7dece553ac38fab6ec3eb25306d2e954eaf77852ca7807d0acb08952d0a

Observation 1c572d25-df60-43ab-90ec-1e428414e0c6 · inbound

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision cites this paper.

Leveraging Generative Adversarial Networks for Addressing Data Imbalance in Financial Market Supervision Reinforcement Learning for Adaptive Resource Scheduling in Complex System Environments

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:49:30.198968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T22:49:30.022497Z digest=sha256:90c72abbfbf081450fb2b114885bda989bc3fa635b80f4c0bba872e2ff46e644