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Paper Citation Record · LEDGER

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2501.08031.

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

pith.paper-citation-record.v1
2501.08031 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:33:12.967173Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy18
  • unresolved2
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5dad6716-834f-4545-bd02-49e30cb7baff · outbound

This paper cites Memristive technologies for data storage, computation, encryption, and radio-frequency communication.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Memristive technologies for data storage, computation, encryption, and radio-frequency communication

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 2026-08-22T06:32:14.747728+00:00.

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Observation 5659c64d-9f3a-41e2-bca1-e5ce66f30f75 · outbound

This paper cites Entropy sources based on silicon chips: True random number genera- tor and physical unclonable function.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Entropy sources based on silicon chips: True random number genera- tor and physical unclonable function

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 2026-08-22T06:32:14.747728+00:00.

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Observation a109be12-922e-48a4-8a4d-f6529131ab58 · outbound

This paper cites VeRA: Vector-based Random Matrix Adaptation.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection VeRA: Vector-based Random Matrix Adaptation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T20:33:12.886714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 447e0115-2200-4959-bb2c-22f0733eb1ea · outbound

This paper cites Physical Security in the Post-quantum Era: A Survey on Side-channel Analysis, Random Number Generators, and Physically Unclonable Functions.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Physical Security in the Post-quantum Era: A Survey on Side-channel Analysis, Random Number Generators, and Physically Unclonable Functions

Reference 4

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verified exact
local_arxiv, observed 2026-08-10T20:33:13.026247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 899d5d73-3764-4d67-b38e-ec4dbb65b06d · outbound

This paper cites Experimental quan- tum key distribution certified by Bell’s theo- rem.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Experimental quan- tum key distribution certified by Bell’s theo- rem

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.896160Z digest=sha256:fbd90822c06da15ee7b680f0ac3d6ca63196735b07a94ede1afea958cf914220

Observation 5fe238cc-e579-4924-b0ba-bb03dbab0b7c · outbound

This paper cites A chaos-metastability TRNG for natively flexible IGZO circuits.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A chaos-metastability TRNG for natively flexible IGZO circuits

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.261504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c00bc213-2de5-45aa-a948-5c65fd46dd4d · outbound

This paper cites Design and analysis of a true random number generator based on GSR signals for body sensor networks.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Design and analysis of a true random number generator based on GSR signals for body sensor networks

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 56b69b09-d5e3-4964-b376-87b2b8fbafca · outbound

This paper cites Secure blind watermarking using Fractional-Order Lorenz system in the frequency domain.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Secure blind watermarking using Fractional-Order Lorenz system in the frequency domain

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.235591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.909908Z digest=sha256:bbd853a4a650375f80c4b346d5c1d6a1642786913123ea51922e9c4b3357be60

Observation fb445b2e-996f-41b2-aed3-5d72cbb01339 · outbound

This paper cites Generation and testing of random numbers for cryptographic appli- cations.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Generation and testing of random numbers for cryptographic appli- cations

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 771f0eb8-5157-48cc-8e99-a0854648d725 · outbound

This paper cites Random Number Generators: Principles and Applications.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Random Number Generators: Principles and Applications

Reference 10

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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 2026-08-22T06:32:14.747728+00:00.

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Observation 4ff79b2e-cb19-4632-9de7-53faa4bf41c3 · outbound

This paper cites A statistical test suite for random and pseudorandom number generators for cryptographic applications.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A statistical test suite for random and pseudorandom number generators for cryptographic applications

Reference 11

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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 2026-08-22T06:32:14.747728+00:00.

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Observation b5d71185-1947-4d2c-8fd1-cbc7b55ebf9f · outbound

This paper cites Memristive true random number generator for security applications.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Memristive true random number generator for security applications

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 2026-08-22T06:32:14.747728+00:00.

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Observation 8c00c42a-5865-4c37-8d97-d8f2cbc6e51e · outbound

This paper cites A comprehensive review of quantum random number generators: Con- cepts, classification and the origin of random- ness.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A comprehensive review of quantum random number generators: Con- cepts, classification and the origin of random- ness

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.161385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.931381Z digest=sha256:b799d66dd4babf8c53975071a293b70f49c183a15da9d13f7440ef9d4cdd32dc

Observation 86cd0869-87d9-4345-9fc0-b22762809e04 · outbound

This paper cites True random number generators.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection True random number generators

Reference 14

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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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.935712Z digest=sha256:f55ef94312f6df0bdd36e010fd9e364d2967962e525c36a6a1da3c5a2849353b

Observation d776b6c0-329d-4e9b-9a3c-b069061c22ed · outbound

This paper cites A search for good pseudo-random num- ber generators: Survey and empirical stud- ies.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A search for good pseudo-random num- ber generators: Survey and empirical stud- ies

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.131453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.940049Z digest=sha256:0dfedc1456b13e048f208e2058a0df9b71d416092cd921f609162ed84fdea0af

Observation dcce8970-e345-4d9f-8ba4-ec25e9598891 · outbound

This paper cites A guideline on pseudo- random number generation (PRNG) in the IoT.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A guideline on pseudo- random number generation (PRNG) in the IoT

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.115113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.944378Z digest=sha256:f1cd89f31a2d381c684efd12506fe2f9ee69a973d24089ba3084d23a96651939

Observation 40173768-ff64-403d-9156-bd10902ee032 · outbound

This paper cites A new method for hy- brid pseudo random number generator.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A new method for hy- brid pseudo random number generator

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.100478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.948696Z digest=sha256:5b947cb0b5ee022e47eda2935f9e31b2eb05296dccc58db00980b92adb0549ab

Observation 6653c59a-71ea-4a72-8b5f-542a94ba1007 · outbound

This paper cites Hybrid pseudo- random number generator for cryptographic systems.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Hybrid pseudo- random number generator for cryptographic systems

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-10T20:33:13.086059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-10T20:33:12.953109Z digest=sha256:63e2bf7e20fd39669b8f262af429b534eeb816e4aa687b470f477bc0e210c1ae

Observation 3f075a0f-f36c-4046-807a-838964cdf0af · outbound

This paper cites Random Number Generators and Seeding for Differential Privacy.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Random Number Generators and Seeding for Differential Privacy

Reference 19

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unresolved
no resolver link, observed 2026-08-10T20:33:12.957460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a225521-c892-4ec8-a681-dff92b65888d · outbound

This paper cites Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator

Reference 20

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raw_fallback, observed 2026-08-10T20:33:13.072769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 9011c0d9-2957-438b-a477-9c71a50b1076 · outbound

This paper cites A new pseudo-random number generator.

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection A new pseudo-random number generator

Reference 21

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raw_fallback, observed 2026-08-10T20:33:13.057731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.