Paper Citation Record · LEDGER

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.01445.

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

pith.paper-citation-record.v1
2506.01445 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:36.844927Z

measured 28 of 28 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:35.066993Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T11:50:37.052182Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
verified fuzzy22
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69a1ba65-cfbc-4daa-8b9d-2911d8bce0ae · outbound

This paper cites A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:50:37.093537Z

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.

Observation 601f26c5-7f10-46de-a7a9-5423a843c0b6 · outbound

This paper cites Random Forest and Linear Regression have been used to distinguish rocks from mines [4].

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Random Forest and Linear Regression have been used to distinguish rocks from mines [4]

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:39.473553Z

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.

Observation 907374fd-13eb-44bf-809d-b05401831831 · outbound

This paper cites These components form the foundation of our framework for enhancing sonar image analysis.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification These components form the foundation of our framework for enhancing sonar image analysis

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:39.221166Z

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.

Observation 94e45b68-3e98-47aa-9d16-0d7d69609996 · outbound

This paper cites Plane” has a dominant alpha (Shadow + Highlight) weight (0.899) over beta (Shadow) (0.101), indicating reliance on combined features. Con- versely, Fig. 4(b) shows a “Ship.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Plane” has a dominant alpha (Shadow + Highlight) weight (0.899) over beta (Shadow) (0.101), indicating reliance on combined features. Con- versely, Fig. 4(b) shows a “Ship

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.996852Z

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.

Observation 77e94537-4e70-43c6-abaf-970611a0094b · outbound

This paper cites an unresolved cited work.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:50:38.924285Z

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.

Observation 23b1e315-ab9a-4db0-ab66-2f2b3e92ed25 · outbound

This paper cites an unresolved cited work.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:50:38.854825Z

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.

Observation 736d1f04-c193-4d5f-8701-c9557e7a8a85 · outbound

This paper cites Robust image denoising for sonar imagery,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Robust image denoising for sonar imagery,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.743157Z

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.

Observation e9422a9a-0bc7-47cc-b4bf-2ace4fa08ba0 · outbound

This paper cites S3simulator: A benchmarking side scan sonar simulator dataset for un- derwater image analysis,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification S3simulator: A benchmarking side scan sonar simulator dataset for un- derwater image analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.676579Z

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.

Observation 7b125fb1-eb68-44f6-9f24-c68d5fc067dd · outbound

This paper cites Machine learning approaches for underwater object classification using sonar data,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Machine learning approaches for underwater object classification using sonar data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.595970Z

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.

Observation f5594c3c-e4f6-4f0b-8d2d-d67d2bef6a86 · outbound

This paper cites Side scan sonar image augmentation for sediment classification using deep learning based trans- fer learning approach,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Side scan sonar image augmentation for sediment classification using deep learning based trans- fer learning approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.512493Z

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.

Observation 36615194-5227-4773-b325-3f9d6f79a0b7 · outbound

This paper cites Self-supervised learning for sonar image classification,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Self-supervised learning for sonar image classification,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.430978Z

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.

Observation c0a490f3-9edb-4a21-8652-915653e8c25e · outbound

This paper cites An unsupervised method for detecting and segmenting shadow areas of sunken targets in sonar im- ages,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification An unsupervised method for detecting and segmenting shadow areas of sunken targets in sonar im- ages,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.328656Z

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.

Observation 258e72fe-1ece-4dbd-b6e2-babe7c33b195 · outbound

This paper cites Seabed objects-klsg: A side-scan sonar dataset for underwater object detection,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Seabed objects-klsg: A side-scan sonar dataset for underwater object detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.260839Z

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.

Observation 11e2614a-62d7-42f7-9863-ab5a8bb9de6c · outbound

This paper cites Ai4shipwrecks: A high- resolution side-scan sonar dataset for marine archaeol- ogy,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Ai4shipwrecks: A high- resolution side-scan sonar dataset for marine archaeol- ogy,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.172599Z

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.

Observation e8299f20-a3ad-463a-a730-473c19fd9a6b · outbound

This paper cites Sonar common target detection dataset: Applications in underwater exploration,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Sonar common target detection dataset: Applications in underwater exploration,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:38.074093Z

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.

Observation b9458dac-e690-4cc9-81ca-8e8bcd855735 · outbound

This paper cites Synthetic sonar dataset generation using unreal engine for seabed exploration,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Synthetic sonar dataset generation using unreal engine for seabed exploration,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.979237Z

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.

Observation fe8532ed-43af-4e0a-9e17-ffdc3998217b · outbound

This paper cites Ray tracing and gan-based syn- thetic sonar image generation,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Ray tracing and gan-based syn- thetic sonar image generation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.893980Z

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.

Observation 85c112f8-36d9-428c-9364-514393b3a75e · outbound

This paper cites Cycle gan for realistic forward-looking sonar dataset generation,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Cycle gan for realistic forward-looking sonar dataset generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.813907Z

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.

Observation 6268a3f4-d877-41be-99fa-ea7ff24657a1 · outbound

This paper cites Side-scan sonar image synthesis using diffusion models,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Side-scan sonar image synthesis using diffusion models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.732860Z

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.

Observation 82150d34-3087-45f4-ae73-f992be725839 · outbound

This paper cites Medical Image Denosing via Explainable AI Feature Preserving Loss.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Medical Image Denosing via Explainable AI Feature Preserving Loss

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:50:36.985695Z

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.

Observation 411ef80c-34f2-4f1c-b5f8-8aa87dffda83 · outbound

This paper cites Per- ceptual losses for real-time style transfer and super- resolution,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Per- ceptual losses for real-time style transfer and super- resolution,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.649272Z

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.

Observation cb39750e-b510-4f05-97dc-981671996f02 · outbound

This paper cites Grad-cam: Visual explanations from deep net- works via gradient-based localization,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Grad-cam: Visual explanations from deep net- works via gradient-based localization,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:50:36.619499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ad2214e-58eb-4d53-9d64-f3d3a0b369a1 · outbound

This paper cites Fusion 360,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Fusion 360,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.539033Z

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.

Observation 0a155a3f-743c-4968-b741-2943293f0ae0 · outbound

This paper cites Gazebo simulator,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Gazebo simulator,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.442966Z

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.

Observation 41b9d2cc-4a0f-405f-bbd0-513d2bc8d8d6 · outbound

This paper cites A tdoa sequence estimation method of underwater sound source based on hidden markov model,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification A tdoa sequence estimation method of underwater sound source based on hidden markov model,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.355105Z

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.

Observation 40b77fde-92ea-4692-86c0-cdbb4c19fb94 · outbound

This paper cites Backscatter responses and res- olution considerations in archaeological side-scan sonar surveys: a control experiment,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Backscatter responses and res- olution considerations in archaeological side-scan sonar surveys: a control experiment,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.275402Z

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.

Observation 2b08ff63-83a0-4a25-a195-d04807f5709e · outbound

This paper cites Chapter 5 - scattering of sound,.

A Novel Context-Adaptive Fusion of Shadow and Highlight Regions for Efficient Sonar Image Classification Chapter 5 - scattering of sound,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:50:37.185743Z

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.

Pith citing papers

Observation 69a1ba65-cfbc-4daa-8b9d-2911d8bce0ae · inbound