Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T04:56:59.520011Z
Paper Citation Record · LEDGER
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks
As of 5 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2605.06536.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d0ba8e28-598b-48e8-98cc-ee2775d570d5 · outbound
This paper cites Exploiting propagation delay in underwater acoustic communication networks via deep reinforcement learning.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Exploiting propagation delay in underwater acoustic communication networks via deep reinforcement learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.770581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 27ebaba2-329e-470e-a4d0-dfaa8675fa49 · outbound
This paper cites Deep reinforcement learning based mac protocol for underwater acoustic networks.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Deep reinforcement learning based mac protocol for underwater acoustic networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.747277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac330242-4c7f-4086-b823-d841a71cc0c0 · outbound
This paper cites Adaptive modulation and coding with feedback scheduling for an underwater acoustic link.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Adaptive modulation and coding with feedback scheduling for an underwater acoustic link
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.768128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7870e10b-2de1-4cdc-8ef7-5ee45cc41844 · outbound
This paper cites Cadtr: Context-aware trust routing algorithm based on priority sampling ddpg for uasns.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Cadtr: Context-aware trust routing algorithm based on priority sampling ddpg for uasns
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.744375Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f3e6e9c0-15a0-4fc7-bcde-df799b1ce6e6 · outbound
This paper cites A path planning method based on deep reinforcement learning for auv in complex marine environment.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks A path planning method based on deep reinforcement learning for auv in complex marine environment
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.757837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ddab542a-2be5-4ea4-bd90-9a6e217598be · outbound
This paper cites Reinforcement learning based mac protocol (uw-aloha- q) for underwater acoustic sensor networks.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Reinforcement learning based mac protocol (uw-aloha- q) for underwater acoustic sensor networks
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.763192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2657d61-0bd3-4372-9d0c-640ea7b3c4da · outbound
This paper cites A multi-agent reinforcement learning-based transmission protocol for underwater acoustic networks.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks A multi-agent reinforcement learning-based transmission protocol for underwater acoustic networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.755278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fad95a66-a913-4b0a-8c55-6c2d3fcc82b7 · outbound
This paper cites Leveraging propagation delays: A delay-aware mul- tiagent reinforcement learning mac protocol for underwater acoustic networks.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Leveraging propagation delays: A delay-aware mul- tiagent reinforcement learning mac protocol for underwater acoustic networks
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.760416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a1b4e99-1437-4831-b596-5c612a96e5ee · outbound
This paper cites an unresolved cited work.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T20:22:58.772914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65d80ba4-4ab6-40fb-841e-6f23377d751d · outbound
This paper cites Human-level control through deep reinforcement learn- ing.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Human-level control through deep reinforcement learn- ing
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.752726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d6cb082-c242-4843-8a76-680ce3152ca1 · outbound
This paper cites Auv path planning in complex 3d underwater environments based on an improved td3 algorithm.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Auv path planning in complex 3d underwater environments based on an improved td3 algorithm
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.765694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e07a606b-2962-44c9-b1f0-d4e92029de88 · outbound
This paper cites Towards learning ocean models for long-term navigation in dynamic environments.
Delay-Robust Deep Reinforcement Learning for Ranging-Free Channel Access under Mobility in Underwater Acoustic Networks Towards learning ocean models for long-term navigation in dynamic environments
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T20:22:58.749794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.