Pith. sign in

Paper Citation Record · LEDGER

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2507.21385.

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

pith.paper-citation-record.v1
2507.21385 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:53:59.393922Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ff700f9-c9e7-4b0a-a6d3-2cf3af0006f4 · outbound

This paper cites Green Future Networks: Network Energy Efficiency,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Green Future Networks: Network Energy Efficiency,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.254296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:56.868338Z digest=sha256:4da96ae5910a92f6910c1189409427424a9278a3e63b992d9635b45e22b48274

Observation 10b58095-5950-4366-9edc-e4f0095675df · outbound

This paper cites SMaRT-5G Project-Sustainable Mobile and RAN Transformation (SMaRT),.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving SMaRT-5G Project-Sustainable Mobile and RAN Transformation (SMaRT),

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:04.035001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.017585Z digest=sha256:90acf9997c08c533a1bf640a8eb415c41deddc4a4466c29331d118988778360b

Observation 9a925410-1975-45c2-a54f-c1fea6b89f4c · outbound

This paper cites Study on Network Energy Savings,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Study on Network Energy Savings,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.865687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.176214Z digest=sha256:9350748fe31e65988d8af7d007c16460c72c7db1da788bd6c81e3d6158cd873d

Observation 7e2b9616-653c-4916-af32-afecc89df1ee · outbound

This paper cites Network Energy Efficiency Phase 2,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Network Energy Efficiency Phase 2,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.713480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.298940Z digest=sha256:8ad87661496d8caff8752459fe014607125c50ec97eff971158ac0bc128c5f64

Observation 3f9fb5cd-d295-4eff-88ea-d30bf6b2247a · outbound

This paper cites Reducing Energy Consumption in LTE with Cell DTX,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Reducing Energy Consumption in LTE with Cell DTX,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.564247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.448464Z digest=sha256:9162e8d17141ec201972473364ecef9fcb8cbe369750f4330e96b36b5fc92851

Observation e5d6a678-3e05-47a5-bc87-b169c8115114 · outbound

This paper cites A Survey on DRX Mechanism: Device Power Saving From LTE and 5G New Radio to 6G Communication Systems,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving A Survey on DRX Mechanism: Device Power Saving From LTE and 5G New Radio to 6G Communication Systems,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.324976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.625315Z digest=sha256:923f05a345462f518946af363dc521f2ee9017987209021326fc0751a00ba54e

Observation e46dfe79-d837-4e00-81dc-cff66fecccae · outbound

This paper cites Backhaul-aware small cell DTX based on fuzzy Q-Learning in heterogeneous cellular networks,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Backhaul-aware small cell DTX based on fuzzy Q-Learning in heterogeneous cellular networks,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:03.138218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.771031Z digest=sha256:28a2680d19a7b1e13bee7b0fd4335c7f2515d617f3f9b90dd826b714bf78ace7

Observation 48f13797-3d0f-4c7d-bf49-c26325b15c10 · outbound

This paper cites Reinforcement learning for interference-aware cell DTX in heterogeneous networks,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Reinforcement learning for interference-aware cell DTX in heterogeneous networks,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:02.855050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.865614Z digest=sha256:740609520a86e3621d4fe275ecc5beea431d88a9f28b0314ad6c50aebc5929f5

Observation 4f39a0d1-fd2a-4ee1-8766-8596dd7d721d · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:54:02.544800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:57.971742Z digest=sha256:c98289702e0cf0355d48fc2687546057c4428603275fe6bdfca0998a03fae7c4

Observation dfc76e5f-6987-4c14-8e4c-a5ac9e24f583 · outbound

This paper cites Machine Learning Based C-DRX Configuration Optimization for 5G,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Machine Learning Based C-DRX Configuration Optimization for 5G,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:02.307982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.055458Z digest=sha256:b2135926aede268be0605faf418bdad911bfe15ed444f2d40d647ed458b70d6b

Observation c38b1f3e-4244-45b1-8427-f1ab49697f40 · outbound

This paper cites On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving On using Deep Reinforcement Learning to balance Power Consumption and Latency in 5G NR,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:02.082826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.234568Z digest=sha256:fca8b6d06c384cc2172bd07ada9c6006dded39c730acf7347b24bfbcd86633f2

Observation d98a530b-cc1f-4bb8-9541-0a7f2fc24972 · outbound

This paper cites Radio Resource Control (RRC) protocol specifications,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Radio Resource Control (RRC) protocol specifications,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:01.799846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.372629Z digest=sha256:77a5c67cc5e7832e03ddb4b52d243091d53e1ba414f03b6e57a1e04e7b16f191

Observation 3274c8e8-a4fd-4958-8378-9de98a54b231 · outbound

This paper cites O-RAN: Towards an Open and Smart RAN,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving O-RAN: Towards an Open and Smart RAN,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:01.500056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.535170Z digest=sha256:5f9f35a56f9ffd0d11a606163ab5a98dc0bfb56f24aad4c454dbab7a39679835

Observation f535236e-2856-4bb4-afca-7d68284725ac · outbound

This paper cites Network energy saving techniques in time, frequency and spatial domain,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Network energy saving techniques in time, frequency and spatial domain,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:01.279943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.672954Z digest=sha256:d6dade349586bd3ed1233f658564adb78aa189aa84c4eaf7926bbf35b2271fe6

Observation f51c1200-053f-4746-b503-37b5f1783790 · outbound

This paper cites Multiplexing and channel coding,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Multiplexing and channel coding,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:00.974051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.781924Z digest=sha256:b5e45fd37bd58de66e322e8ee0910a174f406686f4e2d9dcdfd6bfcfe21196f6

Observation 2873ab58-83f8-4f51-8123-1dfec416d350 · outbound

This paper cites Enabling Network Power Savings in 5G- Advanced and Beyond,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Enabling Network Power Savings in 5G- Advanced and Beyond,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:00.708740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:58.913326Z digest=sha256:71274492e9306cdc48b7a9b1ec0ac1f82569478da9de2769423a5813f4d8f683

Observation 41f4cf29-0f6d-4063-9cce-da1db9fd25a8 · outbound

This paper cites PyTorch Reinforcement Learning (DQN) Tutorial,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving PyTorch Reinforcement Learning (DQN) Tutorial,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:00.494733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:59.038799Z digest=sha256:d033313216dd8c60abbd2e78dd1c7ed7ecfcd9f67fff28dbd8f234bb6b095c76

Observation b2bc5e51-d066-47bc-9b99-2c41af2375fe · outbound

This paper cites Adam: A Method for Stochastic Optimization,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Adam: A Method for Stochastic Optimization,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:00.303332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:59.116876Z digest=sha256:aa5710bec74b36285f3e4354a6be3bea39bfc44ee0af84f10839b668bb1fa792

Observation 9e772f47-2750-4644-9bdd-3e1ceacf8d7b · outbound

This paper cites Study on Licensed-Assisted Access to Unlicensed Spectrum,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Study on Licensed-Assisted Access to Unlicensed Spectrum,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:54:00.131094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:59.188829Z digest=sha256:10495cad5d3f341497cb96ea87e555d3ee35c679a680f24c18650ca88c67a310

Observation 4926fe72-a830-4d6a-9ba5-39a67ded15ff · outbound

This paper cites Gymnasium Documentation,.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Gymnasium Documentation,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:53:59.893670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:59.278022Z digest=sha256:ca5ca69a41e883b0141818c1f593a3e6b01a5d3bdbc20c128c4c9caf0af3bcfe

Observation 7f52e35a-8937-4af8-94f0-9629c1511564 · outbound

This paper cites Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks.

Deep Reinforcement Learning-based Cell DTX/DRX Configuration for Network Energy Saving Graph Reinforcement Learning for QoS-Aware Load Balancing in Open Radio Access Networks

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T12:53:59.653864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T12:53:59.393922Z digest=sha256:f84b5285917fe4146d09ed079f660eeee49fdf618757a4259f9bfeb4c281c7ea

Pith citing papers

No inbound Pith citation observations are available.