Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.03930.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:51:10.040344Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T20:05:07.334194Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8746d4e9-1c4a-47a9-abe9-3b0b4a00dbc8 · inbound
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion cites this paper.
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:51:10.040344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27776941-026d-47b3-8587-40e57948678b · inbound
Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models cites this paper.
Research on E-Commerce Long-Tail Product Recommendation Mechanism Based on Large-Scale Language Models DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:04:53.951590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08dd6761-1e5c-4841-b232-cfb0ff119abd · inbound
DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments cites this paper.
DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T20:05:07.339600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.