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Paper Citation Record · LEDGER

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.23586.

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

pith.paper-citation-record.v1
2505.23586 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:46:19.974496Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

26 of 26 outbound references displayed

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  • verified fuzzy20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd629538-6cd3-424b-86c7-aa02fc5e23ce · outbound

This paper cites Detecting deepfake images using deep learning techniques and explainable AI methods.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Detecting deepfake images using deep learning techniques and explainable AI methods

Reference 1

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Observation 5278018e-c5b9-45d5-acb6-2d203e0c6ee5 · outbound

This paper cites Copy move source-target disam- biguation through multi-branch CNNs.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Copy move source-target disam- biguation through multi-branch CNNs

Reference 2

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Source-reported events for the cited work

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Observation 8965c8ee-a4d3-439c-a8b1-8a601c92b286 · outbound

This paper cites Convolutional neural network initialization approaches for image manipulation detection.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Convolutional neural network initialization approaches for image manipulation detection

Reference 3

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Observation 7661e801-b5fb-43ec-8d4a-e5ecd7bca9d9 · outbound

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Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Unresolved cited work

Reference 4

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Observation bedbc79e-745a-44a8-b177-43675a17bbaf · outbound

This paper cites CASIA image tampering detection evaluation database.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features CASIA image tampering detection evaluation database

Reference 5

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Observation b17bcda8-6ab0-440a-8079-b4a7303c7983 · outbound

This paper cites Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Development of photo forensics algorithm by detecting photoshop manipulation using error level analysis

Reference 6

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Observation 67e0b813-2ad2-4b4e-9fe7-2bd32441d0d8 · outbound

This paper cites Hierarchical fine-grained image forgery detection and localization.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Hierarchical fine-grained image forgery detection and localization

Reference 7

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Observation ac9655fd-4291-4957-87b2-968e4a580a97 · outbound

This paper cites Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras

Reference 8

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Observation de525201-7421-46d2-8b7d-1b5644a3c56d · outbound

This paper cites Automatic landslide segmentation using a combination of grad-CAM visualization and K-means clustering techniques.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Automatic landslide segmentation using a combination of grad-CAM visualization and K-means clustering techniques

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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Observation 7f1d20f4-f2b4-45bb-b636-4f8034f2cc10 · outbound

This paper cites An improvised CNN model for fake image detec- tion.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features An improvised CNN model for fake image detec- tion

Reference 10

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Observation 8c90edfc-8bda-4413-9b61-9d910b412dfb · outbound

This paper cites Seg-XRes-CAM: Explaining spatially local regions in image segmentation.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Seg-XRes-CAM: Explaining spatially local regions in image segmentation

Reference 11

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Observation 25decc46-81bc-4f56-ab3a-22dd41c5c742 · outbound

This paper cites Segment Anything.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Segment Anything

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e4f32639-992a-4e31-8078-d7d060a556f1 · outbound

This paper cites Weakly supervised semantic segmentation via adversarial learning of classifier and reconstructor.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Weakly supervised semantic segmentation via adversarial learning of classifier and reconstructor

Reference 13

Resolution
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Source-reported events for the cited work

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Observation c769eadb-37f2-4744-82f1-3d51e84e4c04 · outbound

This paper cites Grad-CAM: visual explanations from deep networks via gradient-based localization.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Grad-CAM: visual explanations from deep networks via gradient-based localization

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 168febcb-c299-45b8-986a-3d84d38eff71 · outbound

This paper cites Recent advances in digital image manipulation de- tection techniques: A brief review.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Recent advances in digital image manipulation de- tection techniques: A brief review

Reference 15

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Source-reported events for the cited work

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Observation 6f3d8930-3e43-4faa-abe2-3a7e6ce2fa18 · outbound

This paper cites A detailed analysis of image and video forgery detection techniques.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features A detailed analysis of image and video forgery detection techniques

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bbe93ec3-168d-4931-a960-23e8d75efc19 · outbound

This paper cites Using XAI for deep learning-based image manipulation detection with shapley additive explanation.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Using XAI for deep learning-based image manipulation detection with shapley additive explanation

Reference 17

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Source-reported events for the cited work

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Observation 2e8f7144-1094-4651-8ab3-463e4d56d7a0 · outbound

This paper cites WCBnet: Weighted convolutional block mod- elling of signed-value error levels for image-wise copy-move and splicing detection.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features WCBnet: Weighted convolutional block mod- elling of signed-value error levels for image-wise copy-move and splicing detection

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b1037b82-3de1-47fc-9765-66c178026e6b · outbound

This paper cites DeepLab2: A TensorFlow Library for Deep Labeling.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features DeepLab2: A TensorFlow Library for Deep Labeling

Reference 19

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Source-reported events for the cited work

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Observation 0d09269e-5d79-4abd-af37-c228449372f3 · outbound

This paper cites ManTra-Net: Manipulation tracing network for detection and localization of image forgeries with anomalous fea- tures.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features ManTra-Net: Manipulation tracing network for detection and localization of image forgeries with anomalous fea- tures

Reference 20

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Source-reported events for the cited work

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Observation e68ec40e-c7ae-4e3e-8ea8-03ecf0492faf · outbound

This paper cites Image forgery detection: a survey of recent deep-learning approaches.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Image forgery detection: a survey of recent deep-learning approaches

Reference 21

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Source-reported events for the cited work

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Observation d38553b6-b604-4d25-8b9e-f92dd33d7186 · outbound

This paper cites Semi- supervised image manipulation localization with residual enhancement.Expert Systems with Applications, 252:124171, 2024.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Semi- supervised image manipulation localization with residual enhancement.Expert Systems with Applications, 252:124171, 2024

Reference 22

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Source-reported events for the cited work

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Observation a121d07b-5be0-4cb1-8fa3-827bcd4b5da6 · outbound

This paper cites Towards generic image manipulation detection with weakly-supervised self-consistency learning.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Towards generic image manipulation detection with weakly-supervised self-consistency learning

Reference 23

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verified fuzzy
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Source-reported events for the cited work

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Observation 7838b98d-aa24-489d-8b42-52555225def2 · outbound

This paper cites A survey of semi-and weakly supervised semantic segmentation of images.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features A survey of semi-and weakly supervised semantic segmentation of images

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 465740ba-1c1a-4b5e-ad40-9ee1df6efb4a · outbound

This paper cites Exploring weakly-supervised image manipulation localization with tampering edge-based class activation map.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Exploring weakly-supervised image manipulation localization with tampering edge-based class activation map

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1aa95fca-1438-4cf9-812e-505e84e41373 · outbound

This paper cites Weakly-supervised deepfake localization in diffusion-generated images.

Weakly-supervised Localization of Manipulated Image Regions Using Multi-resolution Learned Features Weakly-supervised deepfake localization in diffusion-generated images

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.