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Paper Citation Record · LEDGER

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement

As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.16397.

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

pith.paper-citation-record.v1
2507.16397 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:16:25.309635Z

measured 50 of 50 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

50 of 50 outbound references displayed

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  • verified fuzzy46
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e55388fa-612a-4cf7-ab44-536074ecacfb · outbound

This paper cites Character region awareness for text de- tection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Character region awareness for text de- tection

Reference 1

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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 2026-08-13T06:32:02.005865+00:00.

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Observation cd17db48-b47e-40d0-ae38-4c51bd63d6a0 · outbound

This paper cites Constrained con- volutional neural networks: A new approach towards general purpose image manipulation detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Constrained con- volutional neural networks: A new approach towards general purpose image manipulation detection

Reference 2

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 4721a9eb-a7be-40ca-8084-19d4cada6455 · outbound

This paper cites The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement The lov´asz-softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Reference 3

Resolution
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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 e7b3e2bd-3105-4826-bf80-0feb9b73d670 · outbound

This paper cites A conditional random field model for font forgery detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement A conditional random field model for font forgery detection

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.890883Z

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 20b98a1f-ce89-4a03-8d4e-21b9cd6d00fa · outbound

This paper cites Rru-net: The ringed residual u-net for image splicing forgery detec- tion.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Rru-net: The ringed residual u-net for image splicing forgery detec- tion

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.879414Z

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 70575e80-8dea-4778-b723-75ef9933ff38 · outbound

This paper cites Self-supervised image local forgery detection by jpeg compression trace.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Self-supervised image local forgery detection by jpeg compression trace

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:16:22.254469Z digest=sha256:28d843e043db31ad755d650ee004e89a80e525a321963cc37ada6687bbd5630b

Observation 5bfe9859-5fa9-499a-abf3-775f832a2ecd · outbound

This paper cites Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Gradnorm: Gradient normalization for adaptive loss balancing in deep multitask networks

Reference 7

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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 2026-08-13T06:32:02.005865+00:00.

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Observation df95aeb2-6a07-4b98-831e-f714a3eba2d5 · outbound

This paper cites Noiseprint: A cnn- based camera model fingerprint.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Noiseprint: A cnn- based camera model fingerprint

Reference 8

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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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:16:22.385318Z digest=sha256:bdc6818db121df1373af8d09ab9e50f4e383e01c86cddade750a5d84369c024c

Observation 08c762c2-baca-4629-b335-0642e9ffce40 · outbound

This paper cites Mvss-net: Multi-view multi-scale supervised net- works for image manipulation detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Mvss-net: Multi-view multi-scale supervised net- works for image manipulation detection

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 1419de84-dc11-43f2-8ca4-a74a1b13b07e · outbound

This paper cites Robust text image tampering localization via forgery traces enhancement and multiscale attention.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Robust text image tampering localization via forgery traces enhancement and multiscale attention

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 6307eccd-63d1-456e-9864-5e00952250e5 · outbound

This paper cites Rich models for steganal- ysis of digital images.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Rich models for steganal- ysis of digital images

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 4697fba3-ebc6-4300-a004-575dadbb06f7 · outbound

This paper cites Trufor: Leveraging all-round clues for trustworthy image forgery detection and localiza- tion.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Trufor: Leveraging all-round clues for trustworthy image forgery detection and localiza- tion

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 5204d2e2-1998-45db-a356-0b92abcd33b3 · outbound

This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 13

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:16:22.678221Z digest=sha256:dc133ced0c83c540847c4b30f614bc21f335816f83cef09b0e752c4dde23c7a8

Observation f8c26164-c8cb-45ba-9a2b-e7d55ebaa73c · outbound

This paper cites Learning docu- ment graphs with attention for image manipulation detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Learning docu- ment graphs with attention for image manipulation detection

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 2026-08-13T06:32:02.005865+00:00.

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Observation 6b8d649b-46ca-4bf1-a117-f480d6b923e9 · outbound

This paper cites Supervised contrastive learning.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Supervised contrastive learning

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 623239b2-4373-4842-b8f2-2d77a3aa4bf6 · outbound

This paper cites Learning jpeg compression artifacts for image manipulation detection and localization.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Learning jpeg compression artifacts for image manipulation detection and localization

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 2026-08-13T06:32:02.005865+00:00.

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Observation 08d0a67d-e57f-4896-bf2f-69dffcd403aa · outbound

This paper cites Artifacts-disentangled adversarial learning for deep- fake detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Artifacts-disentangled adversarial learning for deep- fake detection

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 76068f67-98b3-471a-b8b8-617e21d65b28 · outbound

This paper cites Fast and effective image copy-move forgery detection via hierarchical feature point matching.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Fast and effective image copy-move forgery detection via hierarchical feature point matching

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.726588Z

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 7562120c-d6ed-4443-bdfe-c7457888d78e · outbound

This paper cites Transformer-based image inpaint- ing detection via label decoupling and constrained adversar- ial training.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Transformer-based image inpaint- ing detection via label decoupling and constrained adversar- ial training

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 5e5daf9a-f0d7-4822-9643-1d6a3e808a10 · outbound

This paper cites Exploring disentangled content information for face forgery detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Exploring disentangled content information for face forgery detection

Reference 20

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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 0425a9c1-2a50-4366-91ba-7192aff2965a · outbound

This paper cites Fast, automatic and fine-grained tampered jpeg image detection via dct coefficient analysis.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Fast, automatic and fine-grained tampered jpeg image detection via dct coefficient analysis

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation da2ab4b6-1bec-4fd7-abc3-b665edcc726e · outbound

This paper cites Pscc-net: Progressive spatio-channel correlation network for image manipulation detection and localization.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Pscc-net: Progressive spatio-channel correlation network for image manipulation detection and localization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.685593Z

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 f92480b0-cf01-450c-84c6-fe3b854b9be5 · outbound

This paper cites On disentan- gling spoof trace for generic face anti-spoofing.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement On disentan- gling spoof trace for generic face anti-spoofing

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 34abbd68-af52-4bff-b343-39df2a410bb3 · outbound

This paper cites A convnet for the 2020s.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement A convnet for the 2020s

Reference 24

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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 2026-08-13T06:32:02.005865+00:00.

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Observation 0421c574-84c0-4ec3-b027-3c533d63f37a · outbound

This paper cites Icdar 2023 competition on detecting tam- pered text in images.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Icdar 2023 competition on detecting tam- pered text in images

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 846f9364-7579-4aaf-8ead-ff1dac3b17de · outbound

This paper cites Jpeg grid detection based on the number of dct zeros and its appli- cation to automatic and localized forgery detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Jpeg grid detection based on the number of dct zeros and its appli- cation to automatic and localized forgery detection

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 2026-08-13T06:32:02.005865+00:00.

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Observation a027c391-2b49-4cef-9329-61b6eceeebd2 · outbound

This paper cites Towards robust tampered text detection in document image: New dataset and new solution.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Towards robust tampered text detection in document image: New dataset and new solution

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.628217Z

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 7081bfc1-5372-4999-b1ac-27a5abaa9d9b · outbound

This paper cites Towards modern image manipulation localization: A large-scale dataset and novel methods.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Towards modern image manipulation localization: A large-scale dataset and novel methods

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.616855Z

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.

source=pdf_text observed=2026-08-06T15:16:23.517355Z digest=sha256:5db005968a415bfbf94ae1629d7ff1d6dc98236d05fb5f90d35681054b8fdb37

Observation 45667b89-e2fd-454d-bc60-cb6aec79d1ea · outbound

This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Faceforen- sics++: Learning to detect manipulated facial images

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T15:16:23.584446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:16:23.584446Z digest=sha256:321e41ebf779b7c7ce341372ec4f7c35b6e93f7f51aa3961d1b1ad3c660a9514

Observation 77c9b4c1-929c-49f1-853c-4b32d0b69947 · outbound

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

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.600080Z

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 c32ea698-7ab1-4791-86d0-d526fccf4fc4 · outbound

This paper cites Progressive supervision for tampering lo- calization in document images.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Progressive supervision for tampering lo- calization in document images

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.590452Z

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.

source=pdf_text observed=2026-08-06T15:16:23.678534Z digest=sha256:753c1bdc443d4e1d20d10750ce0d3679cf5f33c610cf793737a667b623081f66

Observation 249c6c9c-02f2-4657-ad11-bd037788ec80 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T15:16:23.745146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:16:23.745146Z digest=sha256:881268ff2ca1824a98ef594c6b1229ff48fa91404584c8251c262c97fa096ab1

Observation 3e27ff8e-f0af-46a1-b9b2-91ed7ffbfb14 · outbound

This paper cites Document forgery detection in the context of double jpeg compression.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Document forgery detection in the context of double jpeg compression

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.579950Z

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.

source=pdf_text observed=2026-08-06T15:16:23.803605Z digest=sha256:d9b5f1a5bd397dd0b8620afb68fb6f112fbe32299acbe208a421e54e67079e00

Observation 836f4372-49cb-47c9-9cc4-86785f9e37e0 · outbound

This paper cites Text-line examination for document forgery detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Text-line examination for document forgery detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.570774Z

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.

source=pdf_text observed=2026-08-06T15:16:23.855029Z digest=sha256:086c8539efd6ec6cbc6d11a82fe3112372efc477f4cf6a88842141fcf652b578

Observation 19619f8c-3dce-422c-b149-858127116994 · outbound

This paper cites Media forensics and deepfakes: an overview.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Media forensics and deepfakes: an overview

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.560681Z

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.

source=pdf_text observed=2026-08-06T15:16:23.922544Z digest=sha256:7df80318941a12ac005ef3a9fe6fa6bfc3b65d9e148aaab570a64d4597313ef4

Observation 08bdf8a2-ec51-434b-8f06-11672f3a61f1 · outbound

This paper cites Detecting tampered scene text in the wild.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Detecting tampered scene text in the wild

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.550853Z

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.

source=pdf_text observed=2026-08-06T15:16:23.955382Z digest=sha256:b217ca077219459e01d57ebe961b3953346c2de4311d61af045be9e3adb233e0

Observation 088038b8-2bcb-433a-8394-006890905aaa · outbound

This paper cites Iid-net: Image inpainting de- tection network via neural architecture search and attention.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Iid-net: Image inpainting de- tection network via neural architecture search and attention

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.541259Z

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.

source=pdf_text observed=2026-08-06T15:16:23.984043Z digest=sha256:7eddd74fda5f7968e41e6c48ea1e606108d2f2e626b5a97046b2a7a86d356be2

Observation 8b4d460c-0c23-4504-ba6a-e2bdb6ffb39c · outbound

This paper cites Deep generative model for image inpainting with local binary pattern learning and spatial attention.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Deep generative model for image inpainting with local binary pattern learning and spatial attention

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.531640Z

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 c85cfca6-e316-4a61-9254-ec5ec0632cee · outbound

This paper cites Robust image forgery detection against transmission over online social networks.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Robust image forgery detection against transmission over online social networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.522042Z

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.

source=pdf_text observed=2026-08-06T15:16:24.061656Z digest=sha256:fb9de20936c1da4a6e6c55f13599eb26adb68f984360427a7f528c1a85f01d9f

Observation ebbb7b5d-9bbf-453e-aac9-65f346aeec76 · outbound

This paper cites Rethinking im- age forgery detection via contrastive learning and unsuper- vised clustering.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Rethinking im- age forgery detection via contrastive learning and unsuper- vised clustering

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.511195Z

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.

source=pdf_text observed=2026-08-06T15:16:24.103241Z digest=sha256:9905fa49fcaab82d3d05f2321f7445a438372b61d9e39990f6c8f27c95f7a208

Observation a353e39e-652e-4a99-a032-af7b185805c5 · outbound

This paper cites Unified perceptual parsing for scene understand- ing.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Unified perceptual parsing for scene understand- ing

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.501836Z

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.

source=pdf_text observed=2026-08-06T15:16:24.178027Z digest=sha256:06a62530f6ca3bb892982900a5b6642fb710cb0f78dfcdf3031956c7a72395fd

Observation efdecab4-821c-48ca-bdeb-83ba1198681e · outbound

This paper cites Ucf: Uncovering common features for generalizable deep- fake detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Ucf: Uncovering common features for generalizable deep- fake detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.492245Z

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.

source=pdf_text observed=2026-08-06T15:16:24.283808Z digest=sha256:230beb118c73ec71661b013e8a51fbbae742dac0f73afccd1486f9b180248108

Observation f4125f3e-08b8-4a12-86f5-ac38d58043ec · outbound

This paper cites Swaptext: Image based texts transfer in scenes.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Swaptext: Image based texts transfer in scenes

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.482358Z

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.

source=pdf_text observed=2026-08-06T15:16:24.366177Z digest=sha256:5300625aa259c0da43d5cd551b935a37d85f39c07a4c26d239a7c4aff297c5dc

Observation 02b2dc07-bc0f-4af0-9188-f554a83e369b · outbound

This paper cites Decoupling Forgery Semantics for Generalizable Deepfake Detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Decoupling Forgery Semantics for Generalizable Deepfake Detection

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:16:25.395571Z

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 044d6a25-f1b1-497e-a04e-d890e4005d6a · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Restormer: Efficient transformer for high-resolution image restoration

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.472200Z

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.

source=pdf_text observed=2026-08-06T15:16:24.559091Z digest=sha256:05bebe87164f19d1ce9c139f961b76c75df4314a83e635edbd49cf13f921da48

Observation c169dc35-ac7a-4dda-894d-f78b875eb36d · outbound

This paper cites Docres: A generalist model toward unifying document image restoration tasks.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Docres: A generalist model toward unifying document image restoration tasks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.461654Z

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.

source=pdf_text observed=2026-08-06T15:16:24.781149Z digest=sha256:f1411cc73735ae18ccb1a829aedc584383fd7b5ec02d7728d7d9708f8422ebd9

Observation 2aecab68-c08a-42b2-90e9-bb82a2fe8d61 · outbound

This paper cites At- tention guided enhancement network for weakly supervised semantic segmentation.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement At- tention guided enhancement network for weakly supervised semantic segmentation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.451062Z

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.

source=pdf_text observed=2026-08-06T15:16:24.893272Z digest=sha256:e37e39b099cdd5456b5d396384c38f24053bb0d2d2f727d010e76d103a55807c

Observation d1732fc4-251a-40aa-a296-6a6f1522e502 · outbound

This paper cites A new benchmark and model for challenging image manipula- tion detection.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement A new benchmark and model for challenging image manipula- tion detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.440752Z

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.

source=pdf_text observed=2026-08-06T15:16:25.001503Z digest=sha256:32c099d1558ba9b6529fd40835ab61db4f49b9779e4950e56aa878cd064cad72

Observation 94cf979e-77ba-41c0-b1a6-1f2d8eb142de · outbound

This paper cites Exif as language: Learning cross-modal associations be- tween images and camera metadata.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Exif as language: Learning cross-modal associations be- tween images and camera metadata

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.429880Z

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.

source=pdf_text observed=2026-08-06T15:16:25.151003Z digest=sha256:f10fb5ae5c5681572b7ae0045c4f8500040a423a20cb32f6836be67824ff89d7

Observation df62bfe4-4415-44a9-992c-94103818fa7d · outbound

This paper cites Balanced contrastive learning for long-tailed visual recognition.

ADCD-Net: Robust Document Image Forgery Localization via Adaptive DCT Feature and Hierarchical Content Disentanglement Balanced contrastive learning for long-tailed visual recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:16:25.419034Z

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.

source=pdf_text observed=2026-08-06T15:16:25.309635Z digest=sha256:c73940ab2767de1cd258e1d4efda480d8bbdd0b7ea02bf0212ba839b53195793

Pith citing papers

No inbound Pith citation observations are available.