Pith. sign in

Paper Citation Record · LEDGER

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 4 inbound Pith citation observations for arXiv:2411.13970.

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

pith.paper-citation-record.v1
2411.13970 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:46:44.176292Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:48:34.212512Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T20:15:26.885688Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1bc4d84-3e02-428f-8378-57669d880c41 · outbound

This paper cites Ambient backscatter communications for future ultra-low-power ma- chine type communications: Challenges, solutions, opportunities, and future research trends,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Ambient backscatter communications for future ultra-low-power ma- chine type communications: Challenges, solutions, opportunities, and future research trends,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.468921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.107161Z digest=sha256:2d5d644b4ea30e005c1e89cd6e0e34106bd1a11a0cabd43caebed2a2a646082a

Observation 2741695e-1c87-4134-a393-50156cb4d077 · outbound

This paper cites Backscatter wireless commu- nications and sensing in green Internet of Things,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Backscatter wireless commu- nications and sensing in green Internet of Things,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.457201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.112515Z digest=sha256:58574f10ba3993219e563a943f88074329562001062f4d1b407a7468652377c2

Observation 8fbabc65-f793-4d1d-8161-cbd5f769244e · outbound

This paper cites Energy-efficient UA V backscatter communication with joint trajectory design and resource optimization,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Energy-efficient UA V backscatter communication with joint trajectory design and resource optimization,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.443882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.116982Z digest=sha256:162b11c00c731f406c7613528469445468cd30d701cbb7fdc78c5aa23b2143dd

Observation db330c7c-4f76-46e2-bc17-d17461c2b212 · outbound

This paper cites Drone interrogation (and its low-cost alternative) in backscatter environmental sensor networks,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Drone interrogation (and its low-cost alternative) in backscatter environmental sensor networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.431722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.120940Z digest=sha256:1d73f03bb63781eded6998a3618cfbf780b2715671676ff2747e2fa26ef45156

Observation b849dbcf-d22f-49c4-84cc-295c80825bc2 · outbound

This paper cites Joint distributed beamforming and backscattering for UA V-assisted wpsns,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Joint distributed beamforming and backscattering for UA V-assisted wpsns,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.419781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.126205Z digest=sha256:992ca29b06a5ae97c3c3711209082a17cdf859f676b11f5780bb42edc0bbe089

Observation 900ed58a-0276-4994-b0b2-b8ae096eb94f · outbound

This paper cites Energy-efficient covert communications for UA V-assisted backscatter systems,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Energy-efficient covert communications for UA V-assisted backscatter systems,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.408474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.131088Z digest=sha256:7e908f27c54193339924a02b60cb2feecd68d80135403bd4becc5f072aabfa30

Observation 48f9080d-4f7d-4d96-a7b1-d17b8451affe · outbound

This paper cites Hierarchical deep reinforcement learning for backscattering data collection with multiple UA Vs,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Hierarchical deep reinforcement learning for backscattering data collection with multiple UA Vs,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.396705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.137487Z digest=sha256:5baf2d4189506eadaee78ca9fbf7b2032e9f2fbc481e7d9869f2f03eb4869df6

Observation 1502ebf2-5626-4e2c-855f-02cd2739c0ac · outbound

This paper cites Joint optimization on trajectory, altitude, velocity, and link scheduling for minimum mission time in UA V-aided data collection,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Joint optimization on trajectory, altitude, velocity, and link scheduling for minimum mission time in UA V-aided data collection,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:44.143548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:44.143548Z digest=sha256:d1bc9cf86b75e93dbc80fef999e353240031b54163deed95d549ec22b870f6ca

Observation d7b828f2-08a9-402f-8f64-6ed68ce8bba2 · outbound

This paper cites Movable antennas for wireless commu- nication: Opportunities and challenges,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Movable antennas for wireless commu- nication: Opportunities and challenges,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:44.148956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:44.148956Z digest=sha256:4b21fb12fc9a9254fed69c7c1d31695396812e830b941acb7ec9e66994d97314

Observation af281bd9-fdf0-4a53-82f1-f7543a77cef5 · outbound

This paper cites UA V-mounted movable an- tenna: Joint optimization of UA V placement and antenna configuration,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach UA V-mounted movable an- tenna: Joint optimization of UA V placement and antenna configuration,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:44.153293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:44.153293Z digest=sha256:8c91d8839f02fcc534a25761ee68835dc2968ea3b92aa8563a61c49063f670eb

Observation d93990b4-228f-4b78-ad79-c15a4e26378c · outbound

This paper cites Modeling and performance analysis for movable antenna enabled wireless communications,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Modeling and performance analysis for movable antenna enabled wireless communications,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T15:46:44.157714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:46:44.157714Z digest=sha256:0a6763b406570d585c7f71ffc7ee9a2a3e04bcb66fd231f806141967f8ee377b

Observation 1e3bebbc-3e05-4d78-9424-cbde90a1536a · outbound

This paper cites Towards autonomous multi-UA V wireless network: A survey of reinforcement learning-based approaches,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Towards autonomous multi-UA V wireless network: A survey of reinforcement learning-based approaches,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.363648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.161240Z digest=sha256:3085a903dba5b87944ffe19b58e0f092f7f1ec0662749f3bfb6c383d99da7aa4

Observation a8499542-ef16-4bfb-b576-c934daa5f023 · outbound

This paper cites AoI-energy-aware uav- assisted data collection for IoT networks: A deep reinforcement learning method,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach AoI-energy-aware uav- assisted data collection for IoT networks: A deep reinforcement learning method,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.350525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.164878Z digest=sha256:68454fb62b34ffc42e74a992d1c97f43904a9173256b193e8c85cb43ef37eb92

Observation 4dfca0cd-b960-4d38-a713-7e6a00c92ebc · outbound

This paper cites Complete link budgets for backscatter- radio and RFID systems,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Complete link budgets for backscatter- radio and RFID systems,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.335759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.168766Z digest=sha256:7c1255112ce41524c2392bb47b49441aaa9bca8a5f6f8b6da7ad08499df90a43

Observation 3930aa61-1ac8-436d-beba-27f2612cea8a · outbound

This paper cites Optimal lap altitude for maximum coverage,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Optimal lap altitude for maximum coverage,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.319280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.172445Z digest=sha256:7c8a9b31be49a16a1b3989ed82d48235a3b82375c09ba2d596425900683782bf

Observation 193abc68-96b8-4673-bde6-e1b50c88e899 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:46:44.305779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-12T15:46:44.176292Z digest=sha256:ebe675150ce74e75106d07ed22afc286db8e7d793ce6675e7504de3e3ce6ecec

Pith citing papers

Observation 67c01b40-c2e8-459c-91a5-1ddcf345bee0 · inbound

Transformer based Collaborative Reinforcement Learning for Fluid Antenna System (FAS)-enabled 3D UAV Positioning cites this paper.

Transformer based Collaborative Reinforcement Learning for Fluid Antenna System (FAS)-enabled 3D UAV Positioning Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:15:15.426618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:15:15.426618Z digest=sha256:7b8f8dd1cb0500a3602be0f5f60c3049495492c1ec6b86553f9b607f89dada6f

Observation 6308127d-943d-4f63-8312-ed2d8e9963da · inbound

Movable-Antenna Empowered AAV-Enabled Data Collection over Low-Altitude Wireless Networks cites this paper.

Movable-Antenna Empowered AAV-Enabled Data Collection over Low-Altitude Wireless Networks Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:37:52.341449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:37:52.341449Z digest=sha256:884e1df62f6f6f07c88ac6ae46a4b6e9a88601672df423972913c6aac699fdb2

Observation 0b43a40f-a80d-4a6a-8175-394c256ad882 · inbound

Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming cites this paper.

Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T17:48:34.212512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:48:34.212512Z digest=sha256:d2c9658825158e4e9552a1a8bc45088a24f4081ce2ed7673520c8cf15fe994d5

Observation fd0d6e65-bb38-42ba-b75d-80120e8ee5ee · inbound

An Efficient Model-Driven Groupwise Approach for Atlas Construction cites this paper.

An Efficient Model-Driven Groupwise Approach for Atlas Construction Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:15:26.973569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T20:15:24.708324Z digest=sha256:5aaf5735a851991385650929e8794f4cce9f3017f5f35095aff30b438f062b1a