Paper Citation Record · LEDGER

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation

As of 21 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.20884.

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

pith.paper-citation-record.v1
2505.20884 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:49:41.863193Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

verified exact5
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier3
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9809b693-cae0-43f0-90cc-82cb0c36a6a4 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 1

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:49:38.484939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b4de1b-4fc0-411b-a0a0-2ee911c00731 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 2

Resolution: verified exact; doi, observed 2026-08-07T13:49:43.331007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 50732018-086f-4783-af53-373d157f419a · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 3

Resolution: verified exact; doi, observed 2026-08-07T13:49:42.929062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8f606ed8-953b-4732-9418-de0c520c4696 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T13:49:42.613097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b095b66d-036f-4b14-baef-a5769cc8ab6c · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:49:39.066883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00720e5f-dc1c-4b7f-86db-d486481cf1d2 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 6

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:49:39.256297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66e1361-6cd6-4d67-b9c9-3cb286ed95d6 · outbound

This paper cites EFA-YOLO: An Efficient Feature Attention Model for Fire and Flame Detection.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation EFA-YOLO: An Efficient Feature Attention Model for Fire and Flame Detection

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:49:44.608540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a76384d-89e8-4083-aab7-dfef39a78216 · outbound

This paper cites Jocher, J.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Jocher, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:49:45.081578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d652b0f-cf03-471a-93ec-f30f048c2b40 · outbound

This paper cites Zheng, P.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Zheng, P

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:39.702573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5db1212-32f2-4a73-8409-cec1417dcbea · outbound

This paper cites Chollet, Xception: Deep Learning with Depthwise Separable Convolutions, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Chollet, Xception: Deep Learning with Depthwise Separable Convolutions, in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, pp

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:39.897904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fd9a8da-2df9-4d35-8bd3-9a80a736a5ba · outbound

This paper cites CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile Applications

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:40.032381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b5ead2-f739-4dd7-8cb1-03e8333db487 · outbound

This paper cites Chen, S.-h.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Chen, S.-h

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:40.166350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8992ff8-d31a-4d85-8e44-44de3f94c7a2 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 13

Resolution: verified exact; doi, observed 2026-08-07T13:49:42.194563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ef595889-9ade-493f-8005-d7812f63d68d · outbound

This paper cites Wang, I.H.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Wang, I.H

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:40.540696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d209c48-9238-4166-9f6e-b59a25fa27e5 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:49:44.825659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9c573cd9-aedd-42ac-96c1-d1bb23ebdf51 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:40.895845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 278b055f-cd60-446e-93ac-78cdbe87d200 · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:49:44.164788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 64174e23-7ee2-4faa-bd88-1fee19db2286 · outbound

This paper cites Kang, C.-M.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Kang, C.-M

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:41.221877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec3134a8-2de5-4829-8a1a-347eb13b4909 · outbound

This paper cites Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Wise-IoU: Bounding Box Regression Loss with Dynamic Focusing Mechanism

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:41.358564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d7acf2-6e4e-4485-a3f6-62777a89b2c4 · outbound

This paper cites MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:41.518405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0786bcfd-0f6f-41da-8e5e-a593c84e74ce · outbound

This paper cites an unresolved cited work.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:41.711914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be18cb86-e615-4577-bcce-ba826fb66611 · outbound

This paper cites Doherty, B.

YOLO-FireAD: Efficient Fire Detection via Attention-Guided Inverted Residual Learning and Dual-Pooling Feature Preservation Doherty, B

Reference 22

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:49:43.787372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.