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Paper Citation Record · LEDGER

Learning to Calibrate for Reliable Visual Fire Detection

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2502.09872.

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

pith.paper-citation-record.v1
2502.09872 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:16:12.848232Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved4
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05a931d2-fa13-4aa1-a902-287f8363749c · outbound

This paper cites Research on fire recognition method of inspection robot based on video image,.

Learning to Calibrate for Reliable Visual Fire Detection Research on fire recognition method of inspection robot based on video image,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 03f28aff-a0d9-4ea9-9b75-a85600527e02 · outbound

This paper cites Video fire detection methods based on deep learning: Datasets, meth- ods, and future directions,.

Learning to Calibrate for Reliable Visual Fire Detection Video fire detection methods based on deep learning: Datasets, meth- ods, and future directions,

Reference 2

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raw_fallback, observed 2026-08-07T20:16:13.026057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation a78f6403-7d36-47ea-8520-a8b5557f68bc · outbound

This paper cites A triple interference removal network based on temporal and spatial attention interaction for forest smoke recognition in videos,.

Learning to Calibrate for Reliable Visual Fire Detection A triple interference removal network based on temporal and spatial attention interaction for forest smoke recognition in videos,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 74895f7a-3969-4ee0-99f1-c5cf88deed44 · outbound

This paper cites Efficient attention based deep fusion cnn for smoke detection in fog environment,.

Learning to Calibrate for Reliable Visual Fire Detection Efficient attention based deep fusion cnn for smoke detection in fog environment,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation af3f152a-2abd-4508-8b02-af3a3da9039c · outbound

This paper cites Fire and smoke detection algorithm based on improved yolov8,.

Learning to Calibrate for Reliable Visual Fire Detection Fire and smoke detection algorithm based on improved yolov8,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e8062011-c2c4-40a2-93a1-762d64637a70 · outbound

This paper cites F2m: Ensemble-based uncertainty estimation model for fire detection in indoor environments,.

Learning to Calibrate for Reliable Visual Fire Detection F2m: Ensemble-based uncertainty estimation model for fire detection in indoor environments,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 95f901a4-2258-4c23-9045-82cbdb9b32bf · outbound

This paper cites Monte carlo dropblock for modeling uncertainty in object detection,.

Learning to Calibrate for Reliable Visual Fire Detection Monte carlo dropblock for modeling uncertainty in object detection,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4cfb6b33-0c97-43cf-b71b-c90838d9ca49 · outbound

This paper cites Learning discriminative feature representation with pixel-level supervision for forest smoke recognition,.

Learning to Calibrate for Reliable Visual Fire Detection Learning discriminative feature representation with pixel-level supervision for forest smoke recognition,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9588ccff-2586-4f57-a076-9e5b0ed53770 · outbound

This paper cites Advanced wildfire detection using generative adversarial network-based augmented datasets and weakly supervised object localization,.

Learning to Calibrate for Reliable Visual Fire Detection Advanced wildfire detection using generative adversarial network-based augmented datasets and weakly supervised object localization,

Reference 9

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raw_fallback, observed 2026-08-07T20:16:12.969283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation bc9d06e1-edbf-412d-9441-335a0cc5c3cf · outbound

This paper cites Anchor-free smoke and flame recognition algorithm with multi-loss,.

Learning to Calibrate for Reliable Visual Fire Detection Anchor-free smoke and flame recognition algorithm with multi-loss,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 76d14909-6ac6-4d59-a11d-95febdb4faa4 · outbound

This paper cites Cubic-cross convo- lutional attention and count prior embedding for smoke segmentation,.

Learning to Calibrate for Reliable Visual Fire Detection Cubic-cross convo- lutional attention and count prior embedding for smoke segmentation,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation bc0b3bbb-1de4-4b4d-b111-1078914023e6 · outbound

This paper cites Multi-scale fire detection algorithm with adaptive attention,.

Learning to Calibrate for Reliable Visual Fire Detection Multi-scale fire detection algorithm with adaptive attention,

Reference 12

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raw_fallback, observed 2026-08-07T20:16:12.945808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d1c893e4-9f0b-4c68-8f01-f40bfc453579 · outbound

This paper cites Sustainable collaboration: Federated learning for environ- mentally conscious forest fire classification in green internet of things (iot),.

Learning to Calibrate for Reliable Visual Fire Detection Sustainable collaboration: Federated learning for environ- mentally conscious forest fire classification in green internet of things (iot),

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 9926dc20-63cc-4b28-a06f-b5099bde7c53 · outbound

This paper cites Fast forest fire detection and segmentation application for uav-assisted mobile edge computing system,.

Learning to Calibrate for Reliable Visual Fire Detection Fast forest fire detection and segmentation application for uav-assisted mobile edge computing system,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5a5289db-4c62-43fa-a656-f318a273c9d7 · outbound

This paper cites Fire-and-smoke detection based on convolutional attention and feature fusion,.

Learning to Calibrate for Reliable Visual Fire Detection Fire-and-smoke detection based on convolutional attention and feature fusion,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 22860050-6c5c-45dd-a81d-12ea58463dbc · outbound

This paper cites Smoke and flame detection method with yolov5-resnet cascade network,.

Learning to Calibrate for Reliable Visual Fire Detection Smoke and flame detection method with yolov5-resnet cascade network,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation b29d3182-4e49-4765-9d68-7bf7afe91bed · outbound

This paper cites On calibration of modern neural networks,.

Learning to Calibrate for Reliable Visual Fire Detection On calibration of modern neural networks,

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21c09580-7de1-4211-8847-f7a1afaadff1 · outbound

This paper cites Uncertainty-guided learning for improving image manipulation detection,.

Learning to Calibrate for Reliable Visual Fire Detection Uncertainty-guided learning for improving image manipulation detection,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 156ac447-c3a5-40ec-85db-52fab3c3e7f4 · outbound

This paper cites Modeling the distributional uncertainty for salient object detection models,.

Learning to Calibrate for Reliable Visual Fire Detection Modeling the distributional uncertainty for salient object detection models,

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7c1f4aab-bd2f-4c4a-83ce-e23aea346a23 · outbound

This paper cites Obtaining well calibrated probabilities using bayesian binning,.

Learning to Calibrate for Reliable Visual Fire Detection Obtaining well calibrated probabilities using bayesian binning,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3044caee-8e3a-4e1b-bff7-453095f055e0 · outbound

This paper cites Curriculum learning,.

Learning to Calibrate for Reliable Visual Fire Detection Curriculum learning,

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 19ae37ce-5f5a-4335-b3bd-0369202574b8 · outbound

This paper cites Optimized dual fire attention network and medium-scale fire classification benchmark,.

Learning to Calibrate for Reliable Visual Fire Detection Optimized dual fire attention network and medium-scale fire classification benchmark,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 7c721b8b-c222-492a-b2cf-a77c7051f014 · outbound

This paper cites Edgefiresmoke: A novel lightweight cnn model for real-time video fire–smoke detection,.

Learning to Calibrate for Reliable Visual Fire Detection Edgefiresmoke: A novel lightweight cnn model for real-time video fire–smoke detection,

Reference 23

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raw_fallback, observed 2026-08-07T20:16:12.871146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Pith citing papers

No inbound Pith citation observations are available.