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Paper Citation Record · LEDGER

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2507.22650.

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

pith.paper-citation-record.v1
2507.22650 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:31:10.864030Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c7b3cff-2494-48ef-853f-5798d062d26d · outbound

This paper cites Smith, ”Emerging threats from UA Vs in urban airspace,”Nature Electronics, vol.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Smith, ”Emerging threats from UA Vs in urban airspace,”Nature Electronics, vol

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.155665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.791659Z digest=sha256:6e272bb42e3e81d297af40de819bc6a6dcb424e90a71ed6665e3a49a811f5096

Observation 6efb53c7-4d3c-4f70-8e85-533266f5f712 · outbound

This paper cites Activity distribution of comet 67P/Churyumov-Gerasimenko from combined measurements of non-gravitational forces and torques.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Activity distribution of comet 67P/Churyumov-Gerasimenko from combined measurements of non-gravitational forces and torques

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:31:10.942363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.796192Z digest=sha256:43705f34a4a9b59ce60680a60193cde92c65f87ecc74230981e3cd0ee87a4a56

Observation 72ac4e36-ea90-4ba3-98ea-57b348164caa · outbound

This paper cites Redmon et al., ”You Only Look Once: Unified, Real-Time Object Detection,” inProc.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Redmon et al., ”You Only Look Once: Unified, Real-Time Object Detection,” inProc

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.142718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.800863Z digest=sha256:ffc77bf116a3ee2d8121cefd6baca5773da0a79701e13af0e8dff7fe49065399

Observation b03731ca-a99f-4e87-b090-0a1850205c3d · outbound

This paper cites Zhao et al., ”Thermal image-based small object detection with modified YOLO,”Sensors, vol.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Zhao et al., ”Thermal image-based small object detection with modified YOLO,”Sensors, vol

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.129852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.805378Z digest=sha256:c2161d9c7c84cafac8d1bf95cd0b211c03985352ccb63e9f772fb3c04aadcb85

Observation 66a43cb5-ba4b-474e-93bc-3ac826be7db2 · outbound

This paper cites an unresolved cited work.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:31:11.116686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.809676Z digest=sha256:3a992012fd5eb44a5cca12952927fcb23d5ae2c250d8eba011e40612f3fdd6e5

Observation c4320275-49ae-4e29-9e36-89422bd1dcf8 · outbound

This paper cites Zhao and F.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Zhao and F

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.103846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.814083Z digest=sha256:33b99205de73f86f69d344d327a362020c4330bd461725890c82bdee0a280e23

Observation 1636787e-2565-4822-ab06-1a6f07a062ce · outbound

This paper cites Processing single-channel IR as RGB for deep learning input,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Processing single-channel IR as RGB for deep learning input,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.090439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.818864Z digest=sha256:9593931b5b8096443edc7cabf08725959f8369544c3f40481040d30db26ddee1

Observation 4ab9ed5e-62a9-4c28-b08e-8f6d4dd6169b · outbound

This paper cites Systematic analysis of strange single heavy baryons $\Xi_{c}$ and $\Xi_{b}$.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Systematic analysis of strange single heavy baryons $\Xi_{c}$ and $\Xi_{b}$

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T11:31:10.823045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:31:10.823045Z digest=sha256:9fbcff00eb85eb03b547559f63750cfc9e5576391e01b6cc4962a3b3614d3f69

Observation 9d38eecb-b83b-4879-9362-4684b1780b8a · outbound

This paper cites YOLOv5 by Ultralytics,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification YOLOv5 by Ultralytics,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.076938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.827503Z digest=sha256:ac403b3a6dd7757baf984433b47a747cbec98c9558fa50822361939d19a76070

Observation 703185a4-9ede-4136-8546-a3f60b1fb2ad · outbound

This paper cites Mean ergodic theorems in $L^r(\mu)$ and $H^r(\mathbb T)$, $0<r<1$.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Mean ergodic theorems in $L^r(\mu)$ and $H^r(\mathbb T)$, $0<r<1$

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T11:31:10.906206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.831813Z digest=sha256:8f64f191d618049dfa1bcdadd9f2aa692b21b71aa8c502a67e78de694f32544a

Observation 6e8b6475-d8fc-442f-b7d4-ba2ab56f5f83 · outbound

This paper cites Lightweight YOLO network for UA V detection on edge devices,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Lightweight YOLO network for UA V detection on edge devices,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.063453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.836213Z digest=sha256:4668cea69cb3dbf95edb3975f3d71c37d314c15a61a666c18f85743e2f8aebc6

Observation 0f33675e-7cd4-498b-aca1-9ef45718cd61 · outbound

This paper cites ICAFusion: Infrared and RGB Image Fusion for Robust Object Detection in Adverse Conditions,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification ICAFusion: Infrared and RGB Image Fusion for Robust Object Detection in Adverse Conditions,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.049251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.840137Z digest=sha256:71b8707e50b63f135fce842532cf2dc56ba891360ab43bf47614e9533366c508

Observation 8972182d-e5ba-4510-8356-97ed9acdc610 · outbound

This paper cites Improved attention fusion and feature pyramid for small object detection,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Improved attention fusion and feature pyramid for small object detection,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.034568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.844118Z digest=sha256:ab42cb2cfb5f10568d76de136b9e25959d59db66223f133f6c85f6a3428edcc5

Observation 67c54f32-05ca-457f-b44b-0e568d4e8fdc · outbound

This paper cites Automatic Mixed Precision (AMP) for PyTorch,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Automatic Mixed Precision (AMP) for PyTorch,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.018821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.848301Z digest=sha256:e74a411138a28782c9a05958e0095a6aab37c1703d478b38d2fa4711dc24d59e

Observation 61fe491f-d468-4279-a873-8dc41820803d · outbound

This paper cites Simple online and realtime tracking with a deep association metric,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Simple online and realtime tracking with a deep association metric,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:11.003781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.852156Z digest=sha256:b50f95c39a05dc4d7a58547687573b97ff3827b4b4bb657538c97858900d4247

Observation 21714cdb-4934-4493-809b-ffe3d5f52013 · outbound

This paper cites Optimal Filtering,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Optimal Filtering,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:10.988384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.855862Z digest=sha256:9b9eba097df8e058f3a5e8e992d3b56dfb9e0ac6bd2647cbf35be403941f2555

Observation e63bbc52-63af-4aa2-a244-36abb3b0034b · outbound

This paper cites Payload detection for surveillance UA Vs using deep convolutional neural networks,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Payload detection for surveillance UA Vs using deep convolutional neural networks,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:10.972836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.860077Z digest=sha256:aff772f2e5d58ea49702d40f3186e252a45839cc88caad056ae9ef532e30e91f

Observation 65175d01-a794-4cd7-8c2f-0456304afb1e · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

SpectraSentinel: LightWeight Dual-Stream Real-Time Drone Detection, Tracking and Payload Identification Microsoft COCO: Common Objects in Context,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:31:10.957882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T11:31:10.864030Z digest=sha256:5b753d09f978075cf2afe83f71f26e1f94e8243f3028af2e46f9017523c23135

Pith citing papers

No inbound Pith citation observations are available.