Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T13:54:14.872684Z
Paper Citation Record · LEDGER
Predicting Locations of Cell Towers for Network Capacity Expansion
As of 14 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2507.19925.
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 2026-08-14T06:32:32.682623+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
7 of 7 outbound references displayed
- verified exact1
- verified fuzzy6
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f5b08e33-4006-4edc-b0aa-4f9dd7d2e5da · outbound
This paper cites Placement optimization of aerial base stations with deep reinforcement learning.
Predicting Locations of Cell Towers for Network Capacity Expansion Placement optimization of aerial base stations with deep reinforcement learning
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:54:15.115831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 108ff6f2-1233-4abc-9eba-623a69858c4f · outbound
This paper cites Radio network planning with neural networks.
Predicting Locations of Cell Towers for Network Capacity Expansion Radio network planning with neural networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:54:15.086967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 773c6094-f701-4854-9ec6-f553b155bffb · outbound
This paper cites Method and apparatus for Network Capacity expansion.
Predicting Locations of Cell Towers for Network Capacity Expansion Method and apparatus for Network Capacity expansion
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:54:15.062614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3b98fb3a-81ab-470a-b285-4bf1596abfad · outbound
This paper cites A novel method to determine the optimal location for a cellular tower by using LiDAR data.
Predicting Locations of Cell Towers for Network Capacity Expansion A novel method to determine the optimal location for a cellular tower by using LiDAR data
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:54:15.040781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3186e628-d20b-44f7-81b1-d6b0b0b4a57b · outbound
This paper cites Base station planning based on region division and mean shift clustering.
Predicting Locations of Cell Towers for Network Capacity Expansion Base station planning based on region division and mean shift clustering
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:54:14.998115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3ed4ff80-9111-4db6-849e-a5feb5634543 · outbound
This paper cites TelePlanNet: An AI-Driven Framework for Efficient Telecom Network Planning.
Predicting Locations of Cell Towers for Network Capacity Expansion TelePlanNet: An AI-Driven Framework for Efficient Telecom Network Planning
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T13:54:14.935026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 813c0f10-803b-4307-a4bd-e265306e45bd · outbound
This paper cites Multi -Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic.
Predicting Locations of Cell Towers for Network Capacity Expansion Multi -Objective Deep Reinforcement Learning for 5G Base Station Placement to Support Localisation for Future Sustainable Traffic
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T13:54:14.971771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.