Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:29.573149Z
Paper Citation Record · LEDGER
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach
As of 21 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.14085.
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 2026-08-21T06:32:19.484+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
46 of 46 outbound references displayed
- verified exact0
- verified fuzzy41
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ef471368-a781-4ce6-8b96-23b746c038fe · outbound
This paper cites Modeling and analysis of random access channels with bursty arrivals in OFDMA wireless networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Modeling and analysis of random access channels with bursty arrivals in OFDMA wireless networks,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.118949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a1422138-191c-41a5-912a-f6ea7b737926 · outbound
This paper cites Is the random access channel of LTE and LTE-A suitable for m2m communications? a survey of alternatives,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Is the random access channel of LTE and LTE-A suitable for m2m communications? a survey of alternatives,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.108105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 36c32c46-c3a8-4e3f-94df-1230e2188376 · outbound
This paper cites Toward 5G densenets: architectural advances for effective machine-type communications over femtocells,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Toward 5G densenets: architectural advances for effective machine-type communications over femtocells,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.097070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d43be8da-99de-46bd-8ba0-c9a10c9d1cb8 · outbound
This paper cites Hybrid random access and data transmission protocol for machine-to-machine communications in cellular networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Hybrid random access and data transmission protocol for machine-to-machine communications in cellular networks,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.086301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03949cc0-f2e7-47f7-a844-270f4d8255e7 · outbound
This paper cites 3GPP ts 37.869 v12.0.0 (2013-09),.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach 3GPP ts 37.869 v12.0.0 (2013-09),
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.075224Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0bb3aa5c-b80c-44c3-ba1c-483dca956af8 · outbound
This paper cites How accurate is the RACH procedure model in LTE and LTE-A?.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach How accurate is the RACH procedure model in LTE and LTE-A?
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.064300Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 14fbe109-7461-45ac-9167-0360e1a9e0ac · outbound
This paper cites A novel RACH scheme for efficient access in 5G and beyond networks using hash function,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach A novel RACH scheme for efficient access in 5G and beyond networks using hash function,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.052467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ac45d6a9-82f0-4f02-8584-d24eb7009522 · outbound
This paper cites Random access channel management for handling massive numbers of machine-to-machine communication devices,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Random access channel management for handling massive numbers of machine-to-machine communication devices,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.039577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f8f7e247-4ae5-47dd-af88-7621a07fbfba · outbound
This paper cites Statistical priority-based multiple access system and method,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Statistical priority-based multiple access system and method,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.027202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c3063383-e520-45a8-bbe7-de26409e1a10 · outbound
This paper cites Modeling and performance analysis of statistical priority-based multiple access protocol,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Modeling and performance analysis of statistical priority-based multiple access protocol,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.014886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2aca77ce-99ca-4d00-b9fb-fc9ea6ca17a3 · outbound
This paper cites Performance analysis of the statistical priority-based multiple access,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Performance analysis of the statistical priority-based multiple access,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:30.001017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 70a521d4-2b8f-446e-b1f0-57659d72efdb · outbound
This paper cites Modeling and performance analysis of statistical priority-based multiple access: A stochastic geometry approach,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Modeling and performance analysis of statistical priority-based multiple access: A stochastic geometry approach,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.989189Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 53f34c10-87fe-4ac1-a945-661e4d839803 · outbound
This paper cites Priority- based load-adaptive preamble separation random access for QoS- differentiated services in 5G networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Priority- based load-adaptive preamble separation random access for QoS- differentiated services in 5G networks,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.977557Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 19f7c063-6aab-4b60-9efe-e77ab44ab6bc · outbound
This paper cites D-ACB: Adaptive congestion control algorithm for bursty M2M traffic in LTE networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach D-ACB: Adaptive congestion control algorithm for bursty M2M traffic in LTE networks,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.966688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 33f8e98c-77e2-471b-87fc-1109b31fc709 · outbound
This paper cites Queue-aware access prioritization for massive machine-type communication,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Queue-aware access prioritization for massive machine-type communication,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.955632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bee82b04-a325-4ed5-97f5-33c6b7abde83 · outbound
This paper cites Online control of preamble groups with priority in massive iot networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Online control of preamble groups with priority in massive iot networks,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.943994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a5fd6e15-41c7-4b76-8359-b2fe7cbe0f74 · outbound
This paper cites Utilizing cognitive radio and reinforcement learning for multiple preamble detection in 5G- PRACH,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Utilizing cognitive radio and reinforcement learning for multiple preamble detection in 5G- PRACH,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.932544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation abde2b85-475a-4f5f-9d8c-2aa49ea8eb5c · outbound
This paper cites Deep reinforcement learning mechanism for dynamic access control in wireless networks handling mMTC,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Deep reinforcement learning mechanism for dynamic access control in wireless networks handling mMTC,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.921521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1236e70b-9436-4bb4-9534-a7fa2fa8a04e · outbound
This paper cites A reinforcement-learning- based access scheme for low-latency and correlated-traffic mtc networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach A reinforcement-learning- based access scheme for low-latency and correlated-traffic mtc networks,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.910262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 92283e8a-d2e7-4904-a5bc-93f2e401a7be · outbound
This paper cites Reinforcement learning based dynamic resource allocation for massive MTC in sliced mobile networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Reinforcement learning based dynamic resource allocation for massive MTC in sliced mobile networks,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.898418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3d6f6bfa-a2d2-4790-bcaf-ed701fbe45f3 · outbound
This paper cites Reinforcement learning based preamble resource allocation scheme for access control in machine-to-machine communication,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Reinforcement learning based preamble resource allocation scheme for access control in machine-to-machine communication,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.887094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7a20b827-ae9d-45e7-95e9-0876e770788d · outbound
This paper cites Priority- based learning automata in Q-learning random access scheme for cellular M2M communications,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Priority- based learning automata in Q-learning random access scheme for cellular M2M communications,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.876328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ccc8b4ea-9dd6-44da-9928-83ab81eb7bad · outbound
This paper cites PPO-based PDACB traffic control scheme for massive IoV communications,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach PPO-based PDACB traffic control scheme for massive IoV communications,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.865154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a3a48239-4cf0-4633-9484-f90955400a19 · outbound
This paper cites Deep reinforcement learning based flexible preamble allocation for RAN slicing in 5G networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Deep reinforcement learning based flexible preamble allocation for RAN slicing in 5G networks,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.853810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d4e41f45-5f58-427e-9069-143ea6752187 · outbound
This paper cites Prioritized random access with dynamic access barring for RAN overload in 3GPP LTE-A networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Prioritized random access with dynamic access barring for RAN overload in 3GPP LTE-A networks,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.843006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ee176278-6b3c-40b5-b103-0f8ca1cb6dd2 · outbound
This paper cites PRADA: Prioritized random access with dynamic access barring for MTC in 3GPP LTE-A networks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach PRADA: Prioritized random access with dynamic access barring for MTC in 3GPP LTE-A networks,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.832433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eb7eb115-acf9-4569-b768-51b331545786 · outbound
This paper cites Handling mission- critical communication in smart grid distribution automation services through lte,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Handling mission- critical communication in smart grid distribution automation services through lte,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.821731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 807637ce-7348-4eb6-ba09-b7b84fad4ff1 · outbound
This paper cites Multiagent reinforcement learning meets random access in massive cellular internet of things,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Multiagent reinforcement learning meets random access in massive cellular internet of things,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.811119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bd824e58-9a81-4017-bbe9-439a836e64e4 · outbound
This paper cites Random access scheme for machine type communication networks using reinforcement learning approach,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Random access scheme for machine type communication networks using reinforcement learning approach,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.800193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 573bb899-f1ca-43c3-877a-4a541e7f6c80 · outbound
This paper cites A minimalist approach to offline reinforcement learning,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach A minimalist approach to offline reinforcement learning,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.789285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b1152d61-95e2-49cd-9313-b4ab01052663 · outbound
This paper cites Fast adaptive S-ALOHA scheme for event-driven machine-to-machine communications,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Fast adaptive S-ALOHA scheme for event-driven machine-to-machine communications,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.778134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9761c266-069c-414b-a5a9-2deba36a759c · outbound
This paper cites Stabilizing multi-channel slotted aloha for machine-type communications,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Stabilizing multi-channel slotted aloha for machine-type communications,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.767232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 615135f0-c3ae-4ad4-a220-8859fb45cf35 · outbound
This paper cites Optimal access class barring for stationary machine type communication devices with timing advance information,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Optimal access class barring for stationary machine type communication devices with timing advance information,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.755797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 03f43da7-4246-4fb1-a9ef-7b929fa7c40f · outbound
This paper cites Load estimation in a two-priority mMTC random access channel,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Load estimation in a two-priority mMTC random access channel,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.743578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e82fd76a-5035-4a12-97d5-21559190febf · outbound
This paper cites NLPQL: A FORTRAN subroutine solving constrained nonlinear programming problems,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach NLPQL: A FORTRAN subroutine solving constrained nonlinear programming problems,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.731960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3950c121-6e1b-4252-9ac6-edb8aab78be2 · outbound
This paper cites Finite-time analysis of the multiarmed bandit problem,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Finite-time analysis of the multiarmed bandit problem,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.720602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ec733376-1d0e-4ca5-b733-f8721c0afef9 · outbound
This paper cites A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach A Survey of Online Experiment Design with the Stochastic Multi-Armed Bandit
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:07:29.538274Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18b78918-70e9-422f-a109-f2449cac31fe · outbound
This paper cites Internally re- warded reinforcement learning,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Internally re- warded reinforcement learning,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.708668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b50d2274-7448-4c9c-aeba-79821e17207e · outbound
This paper cites Learning more skills through optimistic exploration.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Learning more skills through optimistic exploration
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:07:29.545678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df6134e5-225c-44da-b3b8-86a0ada08ae7 · outbound
This paper cites Reward scale robustness for proximal policy optimization via dreamerv3 tricks,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Reward scale robustness for proximal policy optimization via dreamerv3 tricks,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.696862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2021f6de-ad43-4588-ac6b-073ebc775df1 · outbound
This paper cites Playing Atari with Deep Reinforcement Learning.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Playing Atari with Deep Reinforcement Learning
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:07:29.553473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a98a86a9-0718-4cb5-9011-49321ac4778d · outbound
This paper cites Human-level control through deep reinforcement learning,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Human-level control through deep reinforcement learning,
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:07:29.557649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e72a2296-c8ca-4b03-b6d3-a3cf55e9f65b · outbound
This paper cites A generative adversarial network enabled deep distributional reinforcement learning for transmis- sion scheduling in internet of vehicles,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach A generative adversarial network enabled deep distributional reinforcement learning for transmis- sion scheduling in internet of vehicles,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.677486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b8b5925-a1e0-491a-9660-a9f64568330f · outbound
This paper cites Cemab: A cross-entropy- based method for large-scale multi-armed bandits,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Cemab: A cross-entropy- based method for large-scale multi-armed bandits,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.664637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 0dc863e2-2e09-4203-b0e5-805ac8367f46 · outbound
This paper cites an unresolved cited work.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-16T12:07:29.651883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4e7fecc2-2648-436c-ada1-27b4779dd45a · outbound
This paper cites Study on ran improvements for machine type communications,.
Access Probability Optimization in RACH: A Multi-Armed Bandits Approach Study on ran improvements for machine type communications,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-16T12:07:29.640081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.