Paper Citation Record · LEDGER

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2504.16364.

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

pith.paper-citation-record.v1
2504.16364 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:09.265280Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T09:27:57.442195Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:21:09.644472Z

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy19
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 504794df-873c-4d75-9b0d-adddc615ebdc · outbound

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

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Acgis: Adversarial cover generator for image steganography with noise residuals features-preserving

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.116511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00bcc5a6-3428-4d4e-9a57-a3a76e3308c9 · outbound

This paper cites Channel attention image steganography with generative adversarial networks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Channel attention image steganography with generative adversarial networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.658972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c2484bb5-1864-4bbc-bdab-1da516bb5a8f · outbound

This paper cites Generating steganographic images via adversarial training.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Generating steganographic images via adversarial training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.126438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72269754-6aa9-4c04-9b0a-406d23dffd91 · outbound

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

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning SteganoGAN: High Capacity Image Steganography with GANs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.130062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538c580d-9615-4263-aa81-067dcd1afd47 · outbound

This paper cites Invisible steganography via generative adversarial networks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Invisible steganography via generative adversarial networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.135009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa51ae65-053a-4d18-b7e9-328eae515eb6 · outbound

This paper cites High-capacity image steganography based on improved fc-densenet.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning High-capacity image steganography based on improved fc-densenet

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.631725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d4b7e7b-67cb-4d29-9050-dbd201938fc3 · outbound

This paper cites Hinet: Deep image hiding by invertible network.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Hinet: Deep image hiding by invertible network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.144403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e25ccc-224f-4c86-9aee-3fff12976a3a · outbound

This paper cites Hidinggan: High capacity information hiding with generative adversarial network.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Hidinggan: High capacity information hiding with generative adversarial network

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.614121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6809ba58-5fb4-490a-9486-1243903e9e86 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.151596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77fb1ab-7258-4e40-bfe4-e5900d379e0d · outbound

This paper cites Curriculum dropout.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Curriculum dropout

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.601857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a020424-c685-4f57-aa9a-7f746c55dd6d · outbound

This paper cites Generative adversarial networks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Generative adversarial networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.159899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8fbc0bf-2477-492c-83a5-f51cd81e6ae3 · outbound

This paper cites Advanced image steganog- raphy using a u-net-based architecture with multi-scale fusion and perceptual loss.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Advanced image steganog- raphy using a u-net-based architecture with multi-scale fusion and perceptual loss

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.584227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c75d35cb-73c4-4efd-84e9-08b7d0a13c83 · outbound

This paper cites Joint adjustment image steganography networks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Joint adjustment image steganography networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.570754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 69f394ac-b475-43ea-8377-8abf8111d1af · outbound

This paper cites Image steganography with deep orthogonal fusion of multi-scale channel attention.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Image steganography with deep orthogonal fusion of multi-scale channel attention

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.171111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53de09a7-617a-4213-a34d-1c2c691a380c · outbound

This paper cites High invisibility image steganography with wavelet transform and generative adversarial network.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning High invisibility image steganography with wavelet transform and generative adversarial network

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.175127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41fb324-a283-4b2a-a273-d7ae713d15cc · outbound

This paper cites Enhanced pixel privacy: Leverag- ing deep learning for advanced image steganography.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Enhanced pixel privacy: Leverag- ing deep learning for advanced image steganography

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.543995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 95e1513f-f1dc-4799-ab75-727e88d4f9c4 · outbound

This paper cites Adversarial feature hybrid framework for steganography with shifted window local loss.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Adversarial feature hybrid framework for steganography with shifted window local loss

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.531494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a7f31f0-e5a8-45c4-b3b5-2b7c5fb9e62e · outbound

This paper cites Stegformer: rebuilding the glory of autoencoder-based steganography.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Stegformer: rebuilding the glory of autoencoder-based steganography

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.518654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45031a82-04f9-4e93-a820-d3868d557c1c · outbound

This paper cites Robust invertible image steganography.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Robust invertible image steganography

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.190926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76ed4287-428a-4585-9711-ed5bde096d57 · outbound

This paper cites Image hide with invertible network and swin transformer.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Image hide with invertible network and swin transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.195535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e468a7-6787-4d44-8662-b1b94659d636 · outbound

This paper cites iscmis: Spatial-channel attention based deep invertible network for multi-image steganography.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning iscmis: Spatial-channel attention based deep invertible network for multi-image steganography

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.199193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17874a38-432f-4001-9c20-31d9cd717673 · outbound

This paper cites Deepmih: Deep invertible network for multiple image hiding.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Deepmih: Deep invertible network for multiple image hiding

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.486109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee9c0ce4-edd0-47c1-b452-8ca8cc4cd87b · outbound

This paper cites Curriculum learning.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Curriculum learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.206229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c81fb254-c99b-4559-bc97-69b36231b34a · outbound

This paper cites A review of the evaluation system for curriculum learning.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning A review of the evaluation system for curriculum learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.468095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ead7143-87c8-41a6-a526-d44740e7468b · outbound

This paper cites Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Attention-guided curriculum learning for weakly supervised classification and localization of thoracic diseases on chest radiographs

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.455445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f38a9d5-1ac4-48e5-b64f-b90122e9ff60 · outbound

This paper cites Cased: curriculum adaptive sampling for extreme data imbalance.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Cased: curriculum adaptive sampling for extreme data imbalance

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.444069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1109699-629d-43d9-8ad5-995f4c4a7c4a · outbound

This paper cites Acpl: Anti- curriculum pseudo-labelling for semi-supervised medical image classification.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Acpl: Anti- curriculum pseudo-labelling for semi-supervised medical image classification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.432956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba50fdc7-6184-443b-811e-51f51fa8d858 · outbound

This paper cites A curriculum domain adaptation approach to the semantic segmentation of urban scenes.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning A curriculum domain adaptation approach to the semantic segmentation of urban scenes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.420209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62fb70d4-0724-41e2-9181-ddc4ae7c7744 · outbound

This paper cites Curriculum learning of multiple tasks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Curriculum learning of multiple tasks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.228762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d2bad32-f4e5-4f8d-9eec-4668e765b54d · outbound

This paper cites Curriculum by smoothing.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Curriculum by smoothing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.401371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6104e223-ccb2-4e4e-a59f-2e391398c257 · outbound

This paper cites Curriculum based Dropout Discriminator for Domain Adaptation.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Curriculum based Dropout Discriminator for Domain Adaptation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.236979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94aa8dba-41d6-4f80-ad9c-761249b8c422 · outbound

This paper cites Improved Training with Curriculum GANs.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Improved Training with Curriculum GANs

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:09:09.301121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b5d6e34-5c5e-4fea-b7a0-d9a4a476ada3 · outbound

This paper cites Going deeper with convolutions.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Going deeper with convolutions

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.244952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24aae60b-092c-4645-89f2-a0e8e16ae6b1 · outbound

This paper cites Deep residual learning for image recognition.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Deep residual learning for image recognition

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.249541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5dfcceac-8d50-4094-acb9-82fd34fde25b · outbound

This paper cites Denseaspp for semantic segmentation in street scenes.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Denseaspp for semantic segmentation in street scenes

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.376005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d9461f8b-7017-4e84-85aa-daa768a39e6d · outbound

This paper cites Squeeze-and-excitation networks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Squeeze-and-excitation networks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:09:09.257274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be5d9a5b-15f7-4be5-bc75-62e082a78cd1 · outbound

This paper cites Eca-net: Efficient channel attention for deep convolutional neural networks.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Eca-net: Efficient channel attention for deep convolutional neural networks

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.357712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5d31d53-0237-4d95-adc0-c94ae2423f00 · outbound

This paper cites Cbam: Convolutional block attention module.

CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning Cbam: Convolutional block attention module

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:09:09.344948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 79886a94-94d5-41ee-86a8-f167bd4bc835 · inbound

Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses cites this paper.

Stego Battlefield: Evaluating Image Steganography Attacks and Steganalysis Defenses CLPSTNet: A Progressive Multi-Scale Convolutional Steganography Model Integrating Curriculum Learning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:21:09.647057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.