Paper Citation Record · LEDGER

STCL:Curriculum learning Strategies for deep learning image steganography models

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2504.17609.

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

pith.paper-citation-record.v1
2504.17609 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:18.330657Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T11:00:00.012990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:26:25.829063Z

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy27
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8a11253-9c49-4967-968c-40647aa6819e · outbound

This paper cites A secure data hiding approach based on least-significant-bit and nature-inspired optimization techniques.

STCL:Curriculum learning Strategies for deep learning image steganography models A secure data hiding approach based on least-significant-bit and nature-inspired optimization techniques

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.770557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00090673-a1fe-4596-9403-0291059dec60 · outbound

This paper cites Investigation of the effectiveness of the stochastic modulation method for steganographic embedding in thermal video data.

STCL:Curriculum learning Strategies for deep learning image steganography models Investigation of the effectiveness of the stochastic modulation method for steganographic embedding in thermal video data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.759173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06a6c143-2a69-465a-91c4-ca2fd1d5979f · outbound

This paper cites SteganoGAN: High Capacity Image Steganography with GANs.

STCL:Curriculum learning Strategies for deep learning image steganography models SteganoGAN: High Capacity Image Steganography with GANs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.197522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97a96748-40fe-4fa1-b47c-18b531c52004 · outbound

This paper cites Invisible steganography via generative adversarial networks.

STCL:Curriculum learning Strategies for deep learning image steganography models Invisible steganography via generative adversarial networks

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.201574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae23424-31db-41a1-855c-1bd0ab0c2d8b · outbound

This paper cites Generative adversarial networks.

STCL:Curriculum learning Strategies for deep learning image steganography models Generative adversarial networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.205351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33c5f6fc-23e2-491b-b3b7-3d5490b653c3 · outbound

This paper cites Generating steganographic images via adversarial training.

STCL:Curriculum learning Strategies for deep learning image steganography models Generating steganographic images via adversarial training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.209664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4355b03d-3a84-4b7b-b010-e05429e61770 · outbound

This paper cites Sstegan: Self-learning steganography based on generative adversarial networks.

STCL:Curriculum learning Strategies for deep learning image steganography models Sstegan: Self-learning steganography based on generative adversarial networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.728710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6db6727-e76f-4d0d-a931-5e9f95e3c5fc · outbound

This paper cites Curriculum learning.

STCL:Curriculum learning Strategies for deep learning image steganography models Curriculum learning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.216901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d87d7f7-c0fd-4987-b1b3-d97d031dad72 · outbound

This paper cites Generative adversarial networks for image steganogra- phy.

STCL:Curriculum learning Strategies for deep learning image steganography models Generative adversarial networks for image steganogra- phy

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.220575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8505c817-c317-4972-8965-30f88fb30e97 · outbound

This paper cites Ssgan: Secure steganography based on generative adversarial networks.

STCL:Curriculum learning Strategies for deep learning image steganography models Ssgan: Secure steganography based on generative adversarial networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.703788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2e003e61-3dd7-4b48-ab17-9288b177c408 · outbound

This paper cites Automatic steganographic distortion learning using a generative adversarial network.

STCL:Curriculum learning Strategies for deep learning image steganography models Automatic steganographic distortion learning using a generative adversarial network

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.227665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf0b162-e317-4018-936c-58a350598448 · outbound

This paper cites Robust image steganography against lossy jpeg compression based on embedding domain selection and adaptive error correction.

STCL:Curriculum learning Strategies for deep learning image steganography models Robust image steganography against lossy jpeg compression based on embedding domain selection and adaptive error correction

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.686889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a99ecc1-13c6-49db-82a4-ec56e3fb2c6c · outbound

This paper cites Improving security for image steganography using content-adaptive adversarial perturbations.

STCL:Curriculum learning Strategies for deep learning image steganography models Improving security for image steganography using content-adaptive adversarial perturbations

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.675460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 192f0313-aaf5-43fd-b39b-ef96c9bb2501 · outbound

This paper cites Reversible adversarial steganography for security enhancement.

STCL:Curriculum learning Strategies for deep learning image steganography models Reversible adversarial steganography for security enhancement

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.663787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f47b818-8bad-4c8c-9a01-4658a60121ab · outbound

This paper cites Robust invertible image steganography.

STCL:Curriculum learning Strategies for deep learning image steganography models Robust invertible image steganography

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.241437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d854d3a7-0b4f-4116-bbcb-7d93da90272c · outbound

This paper cites Towards jpeg-resistant image forgery detection and localization via self-supervised domain adaptation.

STCL:Curriculum learning Strategies for deep learning image steganography models Towards jpeg-resistant image forgery detection and localization via self-supervised domain adaptation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.645322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6dd5940-4bc4-4953-b7b0-d2e9a54b7e3e · outbound

This paper cites Rosteals: Robust steganography using autoencoder latent space.

STCL:Curriculum learning Strategies for deep learning image steganography models Rosteals: Robust steganography using autoencoder latent space

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.633733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b734281c-49c9-40cc-a347-fc058cd0f33c · outbound

This paper cites Analysis of deep steganography robustness using various loss functions.

STCL:Curriculum learning Strategies for deep learning image steganography models Analysis of deep steganography robustness using various loss functions

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.619775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d57a99d5-dd6b-4ac8-9c28-71c970e47348 · outbound

This paper cites Large-capacity image steganography based on invertible neural networks.

STCL:Curriculum learning Strategies for deep learning image steganography models Large-capacity image steganography based on invertible neural networks

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.607290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e4544a8-05f2-4501-b701-3b5ca1def7e6 · outbound

This paper cites Layerwise adversarial learning for image steganography.

STCL:Curriculum learning Strategies for deep learning image steganography models Layerwise adversarial learning for image steganography

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.595377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68f2eb3e-41cd-447a-8d04-716dbe8d74f4 · outbound

This paper cites Pris: Practical robust invertible network for image steganography.

STCL:Curriculum learning Strategies for deep learning image steganography models Pris: Practical robust invertible network for image steganography

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.583736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1507fff2-ff49-4ef1-989d-fcf632a7bbf4 · outbound

This paper cites Enhancing the security of image steganography via multiple adversarial networks and channel attention modules.

STCL:Curriculum learning Strategies for deep learning image steganography models Enhancing the security of image steganography via multiple adversarial networks and channel attention modules

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.572585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea0b2bc4-3a4b-4abb-b39d-52750ac12066 · outbound

This paper cites Acgis: Adversarial cover generator for image steganography with noise residuals features-preserving.

STCL:Curriculum learning Strategies for deep learning image steganography models Acgis: Adversarial cover generator for image steganography with noise residuals features-preserving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.270322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfbb27b4-76fc-48b4-a796-2c109f1dc3f9 · outbound

This paper cites Learning specific-class segmentation from diverse data.

STCL:Curriculum learning Strategies for deep learning image steganography models Learning specific-class segmentation from diverse data

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.554588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 15b24669-4227-45a5-b5d8-14b0b95775b6 · outbound

This paper cites Competence-based Curriculum Learning for Neural Machine Translation.

STCL:Curriculum learning Strategies for deep learning image steganography models Competence-based Curriculum Learning for Neural Machine Translation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.277485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a932219a-9890-4d6b-89d0-19f34c8b8d3a · outbound

This paper cites Curriculum learning based on reward sparseness for deep reinforcement learning of task completion dialogue management.

STCL:Curriculum learning Strategies for deep learning image steganography models Curriculum learning based on reward sparseness for deep reinforcement learning of task completion dialogue management

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.543634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 79e7363b-8b23-47a8-bbc2-ec1309f83723 · outbound

This paper cites Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning.

STCL:Curriculum learning Strategies for deep learning image steganography models Diagnosing glaucoma on imbalanced data with self-ensemble dual-curriculum learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.532207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 189bbd0d-92de-498e-9aa6-d67b2ce5415b · outbound

This paper cites Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks.

STCL:Curriculum learning Strategies for deep learning image steganography models Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.288895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319d5150-d4b7-43b8-bd15-e1ca929d12e0 · outbound

This paper cites Curriculum learning of multiple tasks.

STCL:Curriculum learning Strategies for deep learning image steganography models Curriculum learning of multiple tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:38:18.292668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4f6ad76-356b-4cd2-8cf0-00be29c435f2 · outbound

This paper cites Dynamic curriculum learning for imbalanced data classification.

STCL:Curriculum learning Strategies for deep learning image steganography models Dynamic curriculum learning for imbalanced data classification

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.512976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c25f8c92-4a27-4476-980c-4c2d4fee54f0 · outbound

This paper cites Self-paced learning with diversity.

STCL:Curriculum learning Strategies for deep learning image steganography models Self-paced learning with diversity

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.500388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1148112f-1e02-41f0-83de-7868eb73836d · outbound

This paper cites Curriculum learning for self-supervised speaker verification.

STCL:Curriculum learning Strategies for deep learning image steganography models Curriculum learning for self-supervised speaker verification

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:38:18.368350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc1e4243-addc-4400-af5a-a59feb1fe8bd · outbound

This paper cites Deep learning hierarchical representations for image steganalysis.

STCL:Curriculum learning Strategies for deep learning image steganography models Deep learning hierarchical representations for image steganalysis

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.489800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae0ad809-f1c1-4931-9389-41bdeb599e0f · outbound

This paper cites Deep audio steganalysis in time domain.

STCL:Curriculum learning Strategies for deep learning image steganography models Deep audio steganalysis in time domain

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.478665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adecc6f4-6d63-4862-9265-5b79a179a715 · outbound

This paper cites Using curriculum learning to transmit images over the air.

STCL:Curriculum learning Strategies for deep learning image steganography models Using curriculum learning to transmit images over the air

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.467111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a9a88bd3-a2cc-482d-b428-b699908d7941 · outbound

This paper cites Assessment of steganalytic methods using multiple regression models.

STCL:Curriculum learning Strategies for deep learning image steganography models Assessment of steganalytic methods using multiple regression models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.456470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 758655ae-6213-4843-bace-c0db07b4939a · outbound

This paper cites A new methodology in steganalysis: breaking highly undetectable steganograpy (hugo).

STCL:Curriculum learning Strategies for deep learning image steganography models A new methodology in steganalysis: breaking highly undetectable steganograpy (hugo)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.446108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4de879f9-6d57-46b3-907b-1051f9ee0cc9 · outbound

This paper cites Novel cover selection criterion for spatial steganography using linear pixel prediction error.

STCL:Curriculum learning Strategies for deep learning image steganography models Novel cover selection criterion for spatial steganography using linear pixel prediction error

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.434999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 435b404a-eea2-421b-8f10-888aadc747c4 · outbound

This paper cites Curriculumnet: Weakly supervised learning from large-scale web images.

STCL:Curriculum learning Strategies for deep learning image steganography models Curriculumnet: Weakly supervised learning from large-scale web images

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.424278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c0dd7af5-b3b7-4599-8dcf-43670a1057c7 · outbound

This paper cites Structural design of convolutional neural networks for steganalysis.

STCL:Curriculum learning Strategies for deep learning image steganography models Structural design of convolutional neural networks for steganalysis

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:38:18.413149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation 2d0d43dc-8bdd-4eca-a379-d1e2eda662e6 · inbound

Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware cites this paper.

Quantum Gatekeeper: Multi-Factor Context-Bound Image Steganography with VQC Based Key Derivation on Quantum Hardware STCL:Curriculum learning Strategies for deep learning image steganography models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.830771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.