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Paper Citation Record · LEDGER

Learning Sensor Placement from Demonstration for UAV networks

As of 14 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1909.01636.

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

pith.paper-citation-record.v1
1909.01636 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:16:08.045645Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

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 79492dd4-c428-4cbc-860d-8185ad685054 · outbound

This paper cites Tensorflow: a system for large-scale machine learning.

Learning Sensor Placement from Demonstration for UAV networks Tensorflow: a system for large-scale machine learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.230201Z

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.

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Observation 1d84d363-298c-4634-b840-16f635788b24 · outbound

This paper cites D., C HERNOVA , S., V ELOSO , M., AND BROWNING , B.

Learning Sensor Placement from Demonstration for UAV networks D., C HERNOVA , S., V ELOSO , M., AND BROWNING , B

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.221589Z

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.

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Observation 856c86bb-b896-445d-9bb1-3d29e6c96b13 · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmenta- tion.

Learning Sensor Placement from Demonstration for UAV networks Segnet: A deep convolutional encoder-decoder architecture for image segmenta- tion

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.212367Z

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.

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Observation 41e71357-3ee6-4be0-92fa-0a48caf24dd2 · outbound

This paper cites State-of-the-art in visual attention modeling.

Learning Sensor Placement from Demonstration for UAV networks State-of-the-art in visual attention modeling

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.202645Z

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.

source=pdf_text observed=2026-08-14T05:16:08.000577Z digest=sha256:63e64fed896ac529c34b81adf9afb0e01fa85f7838363cd0508654e64bfdbb92

Observation 22183cb4-cd6b-41da-bb25-34bcc8be5c8b · outbound

This paper cites an unresolved cited work.

Learning Sensor Placement from Demonstration for UAV networks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:16:08.190886Z

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.

source=pdf_text observed=2026-08-14T05:16:08.004361Z digest=sha256:bd6876fab8ce22e151e84e70915d5aca9d96cc624fb2f7a87beef7b3dc871f28

Observation a1f418eb-b2f3-4ffd-a460-05d9c7c85953 · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Learning Sensor Placement from Demonstration for UAV networks A guide to convolution arithmetic for deep learning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T05:16:08.008347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:16:08.008347Z digest=sha256:d3ba23b4a58408669c1186310421f6f2c6bd202eaab7366f732b33e9bbde3d88

Observation fa05b939-e49c-4bd9-b5d9-450642bccb5b · outbound

This paper cites A randomized art-gallery algorithm for sensor placement.

Learning Sensor Placement from Demonstration for UAV networks A randomized art-gallery algorithm for sensor placement

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.179731Z

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.

source=pdf_text observed=2026-08-14T05:16:08.013408Z digest=sha256:7d0d2f542cce748a066406c4f152efe3b77d5a25f928ec76c5741b8e91b861df

Observation 690654f2-6a97-43b2-ae63-f7b09ff22b22 · outbound

This paper cites C., AND GARCIA -H ARO, J.

Learning Sensor Placement from Demonstration for UAV networks C., AND GARCIA -H ARO, J

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.169196Z

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.

source=pdf_text observed=2026-08-14T05:16:08.016802Z digest=sha256:e0e448022be4c10cdf2dc3387b19fbdc85953a93f311ba6fdc61249b052cfced

Observation 55ab7c50-6d89-4e5d-93fd-b34c2ab61a2d · outbound

This paper cites Survey on unmanned aerial vehicle networks for civil applications: A communications view- point.

Learning Sensor Placement from Demonstration for UAV networks Survey on unmanned aerial vehicle networks for civil applications: A communications view- point

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.157706Z

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.

source=pdf_text observed=2026-08-14T05:16:08.020120Z digest=sha256:d31ef49b0f7de9083320780179208ccb5fb5bc7b0dd81bf188c11cc306e3236a

Observation 6c1961fa-6ca3-4b13-9f02-1c3e8bcfe6f0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Sensor Placement from Demonstration for UAV networks Adam: A Method for Stochastic Optimization

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-14T05:16:08.023713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:16:08.023713Z digest=sha256:9019912e39a42023f5de46398587bd31ff7fcea77eb5bd4300aff85b92f86f6a

Observation 05ce7f6e-8140-4951-813a-0cdd95d8c94c · outbound

This paper cites Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies.

Learning Sensor Placement from Demonstration for UAV networks Near-optimal sensor placements in gaussian processes: Theory, efficient algorithms and empirical studies

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.146243Z

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.

source=pdf_text observed=2026-08-14T05:16:08.027507Z digest=sha256:c92dcaa2634fdc3a7603752fe86f596b7be0a3b05b6136b9a9c167d4fd7f27b4

Observation 65a52d38-fd02-496d-8dac-caa6971a98cc · outbound

This paper cites Art gallery theorems and algorithms , vol.

Learning Sensor Placement from Demonstration for UAV networks Art gallery theorems and algorithms , vol

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.134542Z

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.

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Observation 61668126-af3d-4bba-9702-796c358c0ef3 · outbound

This paper cites C., AND WYNN , H.

Learning Sensor Placement from Demonstration for UAV networks C., AND WYNN , H

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.124048Z

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.

source=pdf_text observed=2026-08-14T05:16:08.034254Z digest=sha256:dd59066a1f81557aa870924526fd2e0fefd11902e67647bad41189889a47c3f3

Observation 4f4424db-ad1d-4ae6-932c-09f17db3e79b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Learning Sensor Placement from Demonstration for UAV networks Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-14T05:16:08.038189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:16:08.038189Z digest=sha256:e118a5a1ca6b53713875562e2b052f5c78861a3688afae627e901603c2cd2eb8

Observation e54d8d41-61bc-48d3-b829-b1a8f96a6730 · outbound

This paper cites C., DE REZENDE , P.

Learning Sensor Placement from Demonstration for UAV networks C., DE REZENDE , P

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.114460Z

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.

source=pdf_text observed=2026-08-14T05:16:08.041768Z digest=sha256:58f2f27532848e6ea847d9ef73aa385f3f58140deaab56ee4c1725ef23dc291e

Observation b80c28b7-732d-4ad5-92a6-957f298ac49d · outbound

This paper cites D., T AYLOR , G.

Learning Sensor Placement from Demonstration for UAV networks D., T AYLOR , G

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:16:08.103220Z

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.

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Pith citing papers

No inbound Pith citation observations are available.