Paper Citation Record · LEDGER

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation

As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.14925.

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

pith.paper-citation-record.v1
2509.14925 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T16:15:47.700671Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact2
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 492f6dd4-bd33-47e6-8e1f-4d584bc18d75 · outbound

This paper cites Explainable reinforcement learning: A survey and comparative review,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Explainable reinforcement learning: A survey and comparative review,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:46.576767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac509ac-ac36-4570-a265-6ef2e19e59b2 · outbound

This paper cites Conceptual challenges for interpretable machine learning,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Conceptual challenges for interpretable machine learning,

Reference 2

Resolution: verified exact; doi, observed 2026-08-04T16:19:22.056169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 96c33a9c-dcda-412e-ac4c-491c8c85fa37 · outbound

This paper cites Towards robust interpretability with self-explaining neural networks,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Towards robust interpretability with self-explaining neural networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:46.795702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25049f6c-a552-4769-ba46-aed0687785cf · outbound

This paper cites C-SENN: Contrastive Self-Explaining Neural Network.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation C-SENN: Contrastive Self-Explaining Neural Network

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:46.855747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc476bf-557f-4cf2-9076-d7d0708da27b · outbound

This paper cites Q-senn: quantized self-explaining neural networks,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Q-senn: quantized self-explaining neural networks,

Reference 5

Resolution: verified exact; doi, observed 2026-08-04T16:19:21.814800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 916ddd71-bfde-4b98-ae92-3fec7ecfc951 · outbound

This paper cites A unified approach to interpreting model predictions,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation A unified approach to interpreting model predictions,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:46.970413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01813f86-51db-4974-9424-dc073737bdfb · outbound

This paper cites Learning important features through propagating activation differences,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Learning important features through propagating activation differences,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.086498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96629b5a-ac8e-45a7-9503-966066349ac7 · outbound

This paper cites Notions of explainability and evaluation approaches for explainable artificial intelligence,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Notions of explainability and evaluation approaches for explainable artificial intelligence,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.158303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c55ad1f5-c373-4001-83bd-c79df2c3a43e · outbound

This paper cites Proximal Policy Optimization Algorithms.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Proximal Policy Optimization Algorithms

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.254405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f79b7ce3-c058-43b5-986b-027163079e1b · outbound

This paper cites Molnar,Interpretable Machine Learning, 3rd ed., 2025.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Molnar,Interpretable Machine Learning, 3rd ed., 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.304817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a99e97-417f-48c5-9d7a-3f619a981835 · outbound

This paper cites Some methods for classification and analysis of multi- variate observations,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Some methods for classification and analysis of multi- variate observations,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.387426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9bf44df-731e-45c8-a698-59cbf48e51a9 · outbound

This paper cites mobile- env: An open platform for reinforcement learning in wireless mobile networks,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation mobile- env: An open platform for reinforcement learning in wireless mobile networks,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.449841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 544a4b32-fd45-47f0-bf04-f435bb56f0a5 · outbound

This paper cites Multi-agent deep reinforcement learning for coordinated multipoint in mobile networks,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Multi-agent deep reinforcement learning for coordinated multipoint in mobile networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.537485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd3893d4-b398-416c-94d8-0498dd92cadc · outbound

This paper cites Not Just a Black Box: Learning Important Features Through Propagating Activation Differences.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Not Just a Black Box: Learning Important Features Through Propagating Activation Differences

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.611031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3401ab7d-0196-4a60-8f9b-410d5d5df71a · outbound

This paper cites Axiomatic attribution for deep networks,.

Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Axiomatic attribution for deep networks,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T16:15:47.700671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.