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Paper Citation Record · LEDGER

Image Steganography using Gaussian Markov Random Field Model

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.01483.

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

pith.paper-citation-record.v1
1908.01483 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:20:21.750660Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

28 of 28 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bfa6d0ce-3bd4-41e9-b8aa-783156ab9596 · outbound

This paper cites Designing steganographic distortion using directional filters,.

Image Steganography using Gaussian Markov Random Field Model Designing steganographic distortion using directional filters,

Reference 1

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raw_fallback, observed 2026-08-14T15:20:22.243400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 150bb6fe-cb04-4e6a-9828-3cba4b9fbd6a · outbound

This paper cites Universal distortion function for steganography in an arbitrary domain,.

Image Steganography using Gaussian Markov Random Field Model Universal distortion function for steganography in an arbitrary domain,

Reference 2

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raw_fallback, observed 2026-08-14T15:20:22.227935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 489a0272-83cf-4f99-9786-ed8354cd14ee · outbound

This paper cites A new cost function for spatial image steganography,.

Image Steganography using Gaussian Markov Random Field Model A new cost function for spatial image steganography,

Reference 3

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raw_fallback, observed 2026-08-14T15:20:22.211608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 9caf9d3b-b234-47a8-90be-ed246009e47b · outbound

This paper cites Multivariate gaussian model for designing additive distortion for steganography,.

Image Steganography using Gaussian Markov Random Field Model Multivariate gaussian model for designing additive distortion for steganography,

Reference 4

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raw_fallback, observed 2026-08-14T15:20:22.195428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.630172Z digest=sha256:b2ebc32f54adb8388a4ef813367382d17673af33d6616e23d8646ac8513b875c

Observation a2364fb7-25a7-4e1c-a001-fcb5df0843f5 · outbound

This paper cites Using high-dimensional image models to perform highly undetectable steganography,.

Image Steganography using Gaussian Markov Random Field Model Using high-dimensional image models to perform highly undetectable steganography,

Reference 5

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raw_fallback, observed 2026-08-14T15:20:22.179344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.634972Z digest=sha256:ad197048808add83985227a432039781d89d3d66305803a14100b390d6120a35

Observation 318b02d0-4c6c-4b9c-999a-c858878f4744 · outbound

This paper cites Content-adaptive pentary steganography using the multivariate generalized gaussian cover model,.

Image Steganography using Gaussian Markov Random Field Model Content-adaptive pentary steganography using the multivariate generalized gaussian cover model,

Reference 6

Resolution
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raw_fallback, observed 2026-08-14T15:20:22.163284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 2dda568d-8961-4c2d-bde6-ac594a5970bf · outbound

This paper cites Content-adaptive steganog- raphy by minimizing statistical detectability,.

Image Steganography using Gaussian Markov Random Field Model Content-adaptive steganog- raphy by minimizing statistical detectability,

Reference 7

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raw_fallback, observed 2026-08-14T15:20:22.147519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.645255Z digest=sha256:762647e770ca83f0a684cf6df849bd332c9546874ae0b75802331efe8aa3b5c9

Observation 421028b5-3af5-4e29-9b05-11cea365a80e · outbound

This paper cites Uniform embedding for efficient JPEG steganography,.

Image Steganography using Gaussian Markov Random Field Model Uniform embedding for efficient JPEG steganography,

Reference 8

Resolution
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raw_fallback, observed 2026-08-14T15:20:22.131491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.650337Z digest=sha256:ed6cd5956ff18786229f076c0dd84fcd89e0096badbe07878b400ed4aeeb95c1

Observation 846f4129-1f50-4419-b9a0-ea1eeb332cc1 · outbound

This paper cites Using statistical image model for JPEG steganography: Uniform embedding revisited,.

Image Steganography using Gaussian Markov Random Field Model Using statistical image model for JPEG steganography: Uniform embedding revisited,

Reference 9

Resolution
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raw_fallback, observed 2026-08-14T15:20:22.116281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.655290Z digest=sha256:622755fbaae574f75987bebdc2c0c1b25114ef2bb4f42ef540da37cb409f4f5c

Observation 607ab2a5-49d9-45e2-928e-1a5da65e29b0 · outbound

This paper cites A new distortion function design for jpeg steganography using the generalized uniform embedding strategy,.

Image Steganography using Gaussian Markov Random Field Model A new distortion function design for jpeg steganography using the generalized uniform embedding strategy,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:20:22.100340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.660935Z digest=sha256:df8d606817774561223e921d0f6c706933a925b025f2ad9a3b4941a9eb9a7b9b

Observation 66643661-d554-48c8-bd61-ebc765b7f1e9 · outbound

This paper cites Efficient jpeg steganography using domain transformation of embedding entropy,.

Image Steganography using Gaussian Markov Random Field Model Efficient jpeg steganography using domain transformation of embedding entropy,

Reference 11

Resolution
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raw_fallback, observed 2026-08-14T15:20:22.082092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.665824Z digest=sha256:ae817588f698d0a7933e1c5b53d74bbeeb5c021bee1bbedf030a2a0ac84a3f3d

Observation 45fa0d96-9931-4abe-8314-b2a5ec7385e1 · outbound

This paper cites Defining cost functions for adaptive jpeg steganography at the microscale,.

Image Steganography using Gaussian Markov Random Field Model Defining cost functions for adaptive jpeg steganography at the microscale,

Reference 12

Resolution
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raw_fallback, observed 2026-08-14T15:20:22.060962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.671001Z digest=sha256:dac5fd2bf24d5396b2055ef267ed0c02d549355957320bda4f616ba85bf5da20

Observation 59440cbd-14f4-41f9-9809-7554f575efe7 · outbound

This paper cites Minimizing additive distortion in steganography using syndrome-trellis codes,.

Image Steganography using Gaussian Markov Random Field Model Minimizing additive distortion in steganography using syndrome-trellis codes,

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation a6d18c4d-0a2e-4583-8130-776ca2affaed · outbound

This paper cites Estimating steganographic fisher information in real images,.

Image Steganography using Gaussian Markov Random Field Model Estimating steganographic fisher information in real images,

Reference 14

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raw_fallback, observed 2026-08-14T15:20:22.027215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation cd177a66-b62e-4423-a0ad-53412778a3f0 · outbound

This paper cites Rich models for steganalysis of digital images,.

Image Steganography using Gaussian Markov Random Field Model Rich models for steganalysis of digital images,

Reference 15

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raw_fallback, observed 2026-08-14T15:20:22.011178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.685703Z digest=sha256:e74a3637f702de36eb092def64eae62c35635258048f0576bb3e92a868e58733

Observation 9d0ea197-bea4-4b15-854c-2a075c8cfc83 · outbound

This paper cites Selection-channel-aware rich model for steganalysis of digital images,.

Image Steganography using Gaussian Markov Random Field Model Selection-channel-aware rich model for steganalysis of digital images,

Reference 16

Resolution
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raw_fallback, observed 2026-08-14T15:20:21.994933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.690135Z digest=sha256:d78fe7911389086d44c56749f2809eedf42db47d6893a7af72e90d87eda20b88

Observation b6453229-56f3-4f13-8c0a-b50e4338f8d4 · outbound

This paper cites Break our steganographic system: the ins and outs of organizing BOSS,.

Image Steganography using Gaussian Markov Random Field Model Break our steganographic system: the ins and outs of organizing BOSS,

Reference 17

Resolution
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raw_fallback, observed 2026-08-14T15:20:21.979627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.695364Z digest=sha256:a248f0613682984867ae9e06921fbad00e3bac0ba19584030b577bb6ac1a617d

Observation 58be3581-9ba0-40ae-a63c-8162b9588d7c · outbound

This paper cites an unresolved cited work.

Image Steganography using Gaussian Markov Random Field Model Unresolved cited work

Reference 18

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.700957Z digest=sha256:840a23c1db6b95545f46a32284c99b0c0b3e3296ea4094815e982ae4698ad9ca

Observation 932b334c-9c24-4e2a-a679-d3fc72a991a1 · outbound

This paper cites Rue and L.

Image Steganography using Gaussian Markov Random Field Model Rue and L

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-14T15:20:21.948668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.705715Z digest=sha256:fdf781ac2c54e012e528d7664b02f3a14a6205efd34842cead2019f7b3ef353a

Observation 6ecf0f7f-c2f0-4e42-974b-ca304a5cf669 · outbound

This paper cites Spatial interaction and the statistical analysis of lattice systems,.

Image Steganography using Gaussian Markov Random Field Model Spatial interaction and the statistical analysis of lattice systems,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:20:21.934039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.710913Z digest=sha256:7a615a72c2c22161d2f368d621190a113ef72ea3a681c9145db09e85c86049ca

Observation fcd842c3-d761-4457-92e0-c5054a95e6c3 · outbound

This paper cites Available: http://fourier.eng.hmc.edu/e161/lectures/ gaussianprocess/node7.html.

Image Steganography using Gaussian Markov Random Field Model Available: http://fourier.eng.hmc.edu/e161/lectures/ gaussianprocess/node7.html

Reference 21

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raw_fallback, observed 2026-08-14T15:20:21.918229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.716307Z digest=sha256:0df700582f2af8e5b1d1aeb9ccf312b87ecc481334143e548b268393fcd7e18d

Observation 8062d9ba-eaa3-4f9d-81f2-072c0697bd58 · outbound

This paper cites Fisher information determines capacity of epsilon-secure steganography,.

Image Steganography using Gaussian Markov Random Field Model Fisher information determines capacity of epsilon-secure steganography,

Reference 22

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raw_fallback, observed 2026-08-14T15:20:21.902405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.721504Z digest=sha256:d3454d7628c345c885868816c614a4a89348592e440287766e4573a44bb9834a

Observation 7f1b3f83-0e26-47ab-9b86-4fdb56adffba · outbound

This paper cites On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables,.

Image Steganography using Gaussian Markov Random Field Model On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables,

Reference 23

Resolution
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raw_fallback, observed 2026-08-14T15:20:21.885515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.726371Z digest=sha256:47b12349b54a7644bde5ebfc06062644e0ee812f9348d267e703450d5aacc0f3

Observation 2b284402-10f6-4762-8516-b919f0de2a06 · outbound

This paper cites an unresolved cited work.

Image Steganography using Gaussian Markov Random Field Model Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-14T15:20:21.866312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.731077Z digest=sha256:7aeff7ab7dd10be037b39e94cf2b1b372efd226488045744320456c7a21ebdc9

Observation 5f8bcc85-8fff-4659-8d3b-c969345b6cd1 · outbound

This paper cites Katkovnik, K.

Image Steganography using Gaussian Markov Random Field Model Katkovnik, K

Reference 25

Resolution
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raw_fallback, observed 2026-08-14T15:20:21.849986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.736126Z digest=sha256:c0e00c3918dbc691b4b37bef2d0775f272de7297564326d6b4fe52fcd2032504

Observation 893a8847-f401-4add-849b-03f65607a9d3 · outbound

This paper cites A modification to the half-interval search (binary search) method,.

Image Steganography using Gaussian Markov Random Field Model A modification to the half-interval search (binary search) method,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:20:21.830542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.740744Z digest=sha256:a09eee8a760752e10937ea8aed13c753273099a3e74ca30130da00cc326959df

Observation d742180b-ae62-4de7-ab1f-bad1717bc508 · outbound

This paper cites Ensemble classifiers for ste- ganalysis of digital media,.

Image Steganography using Gaussian Markov Random Field Model Ensemble classifiers for ste- ganalysis of digital media,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:20:21.812282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.745660Z digest=sha256:3e697780b201b82dfe3bfe0290f458653a77dd928981c2e7427e221ce5456657

Observation 1676b240-b149-4fde-92cd-b47df4e48874 · outbound

This paper cites Investigation on cost assignment in spatial image steganography,.

Image Steganography using Gaussian Markov Random Field Model Investigation on cost assignment in spatial image steganography,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:20:21.794941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:20:21.750660Z digest=sha256:779f1d9d6579482f686407d149b6714b8493c1d46392b4feac62a5a82b63a95e

Pith citing papers

No inbound Pith citation observations are available.