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Paper Citation Record · LEDGER

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective

As of 16 August 2026, this Paper Citation Record lists 100 of 109 outbound references and 0 inbound Pith citation observations for arXiv:2608.13510.

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

pith.paper-citation-record.v1
2608.13510 v1

Coverage vector

measured 100 of 109 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:26:16.320711Z

measured 100 of 100 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

100 of 109 outbound references displayed

  • verified exact23
  • verified fuzzy34
  • unresolved38
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e6327c1-036d-43f6-b745-d68f50c801f3 · outbound

This paper cites CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting , journal=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting , journal=

Reference 1

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

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Observation c1f61b67-3520-44ca-b646-95907d08a54d · outbound

This paper cites Advances in mathematical physics , year =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Advances in mathematical physics , year =

Reference 2

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This paper cites Characterization of the generalized.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Characterization of the generalized

Reference 3

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This paper cites Extensions of the Generalized.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Extensions of the Generalized

Reference 4

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Observation c526cc2a-3fee-4d40-a0ba-006c2e820610 · outbound

This paper cites Journal of Applied Probability , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Journal of Applied Probability , publisher =

Reference 5

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This paper cites 2022 , journal =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2022 , journal =

Reference 6

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Observation 87127132-559f-4454-be05-bc6bbd0328d4 · outbound

This paper cites 2013 , author =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2013 , author =

Reference 7

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Observation 68c06717-ed99-4d66-88a6-65c63b1eb130 · outbound

This paper cites Electronics Letters , volume =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Electronics Letters , volume =

Reference 8

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Observation dfe9f7ba-8e86-4b58-9778-ff234d46210f · outbound

This paper cites and Fuja, T.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective and Fuja, T

Reference 9

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This paper cites 2016 , issn =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2016 , issn =

Reference 10

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Observation 55c1c5f5-f456-4727-b2d2-b00687c55dc0 · outbound

This paper cites Banerjee and P.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Banerjee and P

Reference 11

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This paper cites and Zhang, Xuemei and Pham, Loan , journal=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective and Zhang, Xuemei and Pham, Loan , journal=

Reference 12

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This paper cites IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies , year =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective IJCA Special Issue on Issues and Challenges in Networking, Intelligence and Computing Technologies , year =

Reference 13

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 14

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , journal =

Reference 15

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Observation 062d048f-b603-40a1-bdf6-5c9793c0832c · outbound

This paper cites Ahmad and Md.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Ahmad and Md

Reference 16

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Ahmad and G

Reference 17

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 1983 , volume =

Reference 18

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Introducing the non-homogeneous compound-birth process , journal =

Reference 19

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2011 , doi =

Reference 20

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This paper cites Proceedings of the Royal Society of London.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Proceedings of the Royal Society of London

Reference 21

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Statistically-based methodology for revealing real contagion trends and correcting delay-induced errors in the assessment of

Reference 22

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 23

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Silva and Paulo V.C

Reference 24

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Chaos, Solitons & Fractals , year =

Reference 25

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Chaos, Solitons & Fractals , year =

Reference 26

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Physics of Life Reviews , year =

Reference 27

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Udny Yule , journal =

Reference 28

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 29

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 30

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2019 , journal =

Reference 31

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , journal=

Reference 32

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective IoT , VOLUME =

Reference 33

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , journal=

Reference 34

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2021 , volume=

Reference 35

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On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 36

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Observation ffd14038-fe8c-4bcc-9281-d29918e5cce7 · outbound

This paper cites and Roughan, M.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective and Roughan, M

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.011791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.011791Z digest=sha256:6a44cdb3d23c623edcd85b96c7669e46af41fe59ce0fd467e142ef1dfec0e9ef

Observation 0724aef7-1eb4-4b57-85a8-d62a7d076648 · outbound

This paper cites AIP Conference Proceedings , volume =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective AIP Conference Proceedings , volume =

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.018416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.018416Z digest=sha256:83cb32364d80ef02bdc281247e45497ac92b7447592e9552b3e58a4e83edc38c

Observation 0d5125b5-1780-409c-8de3-6adfc1e18266 · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 39

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.627206Z

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=arxiv_source observed=2026-08-14T05:26:16.023452Z digest=sha256:ac655bf5f89e8ac053c8cf99f9820ebd410e93a6e4bcc7af009983b0f7ed4b51

Observation 21c65188-c9c8-4587-aea2-86b56f4d77c8 · outbound

This paper cites Ingeniería , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Ingeniería , year=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.028895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.028895Z digest=sha256:be8ce4450a94072dedcdc6e17e9317f3f832ce9d2dd5d3e74bc57babcb5372e7

Observation 89e6c789-dbdc-408b-871d-8915ca75d58c · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.033996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.033996Z digest=sha256:01a8490b027d9494e329c0f72586bed3c5664ad30412302fb736f04031a1cee7

Observation 6a68d0e1-494b-4b6e-a7bd-f91d2301bc67 · outbound

This paper cites , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , publisher =

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.039353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.039353Z digest=sha256:d3f8a6cf116ab36d0042e3c5a58a319110b79001ae50d10d2079d00758794e59

Observation 55cb9d86-1502-4275-9877-402d265e7533 · outbound

This paper cites 2018 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2018 , publisher =

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.044200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.044200Z digest=sha256:73a31dd033231bfb5b055fa2d4360d95af79b6d81d8ccdddb69a9ac99f1ecfa6

Observation 437bb38d-1dca-47a6-ad99-aab3e59a4599 · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 44

Resolution
parse uncertain
raw_fallback, observed 2026-08-14T05:26:18.067994Z

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=arxiv_source observed=2026-08-14T05:26:16.048975Z digest=sha256:0373e15d9509eb57ed7e7b490ff336295973829975d07e5e512197b668a5683f

Observation aac9af42-cc58-4d92-9a7e-20c4a860e07d · outbound

This paper cites 2007 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2007 , publisher =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:18.051117Z

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=arxiv_source observed=2026-08-14T05:26:16.053540Z digest=sha256:dda001593003c790eb45e50ba573a6fbe9752c3e0cf8bc487abeac357a644f65

Observation a984a574-0cb1-4b15-823c-22b8b2dabd5e · outbound

This paper cites 2015 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2015 , publisher =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:18.034176Z

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=arxiv_source observed=2026-08-14T05:26:16.058239Z digest=sha256:586166c5e3178ccc35988b5a842ae6dc20b556baf59664dc78df60a0ebf2c6c2

Observation e8dae13a-dc4d-49bc-8e7c-8a8c20981be9 · outbound

This paper cites 2019 , edition =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2019 , edition =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:18.017626Z

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=arxiv_source observed=2026-08-14T05:26:16.062985Z digest=sha256:866cdbb0cf50b6d4bb8f5fe4be9bcbed71c9c419bb5c21685b6b6a47d79e010e

Observation 4bddbf97-f918-48b3-a80f-803e6d1eff1a · outbound

This paper cites 2008 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2008 , publisher =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:18.002416Z

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=arxiv_source observed=2026-08-14T05:26:16.067697Z digest=sha256:d8e6926c1116054f56e170fd7c4c0811315b71c5fdea147f45e865410af21b7a

Observation 40834cdb-7476-4bc1-874d-02d13450c764 · outbound

This paper cites 2020 , city =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2020 , city =

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.987302Z

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=arxiv_source observed=2026-08-14T05:26:16.072529Z digest=sha256:8cc4ed6279af57c92821eb8640c50536b12d19f1b6b19020069076a94a0e3b10

Observation 166afdd8-6982-4177-940f-553e9912c670 · outbound

This paper cites 2005 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2005 , publisher =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.971100Z

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=arxiv_source observed=2026-08-14T05:26:16.077576Z digest=sha256:f48ac67fea6d995d9c08a2ddab42dd9846e05e25b045570144b17e9495685664

Observation 6f693f9c-6e4a-4e49-ac69-fd866482cfac · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:26:17.955185Z

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=arxiv_source observed=2026-08-14T05:26:16.082715Z digest=sha256:2c3a521e615dc985633406f96591898d72448857fad745d6e50402c465dc547e

Observation 99e84684-b783-4129-8184-89e99454f255 · outbound

This paper cites 2010 , isbn =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2010 , isbn =

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.938718Z

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=arxiv_source observed=2026-08-14T05:26:16.087440Z digest=sha256:5a5852cd48dfa2f37f2987bd20dad3c33a273c1a4b19040b659e859c43170dce

Observation af7212bc-65d7-4d1d-b37a-05cc63ab5e87 · outbound

This paper cites and Iannino, Anthony and Okumoto, Kazuhira , title =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective and Iannino, Anthony and Okumoto, Kazuhira , title =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.922138Z

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=arxiv_source observed=2026-08-14T05:26:16.092072Z digest=sha256:1d9fa3eb4448db7f2e6558a96260d67174d578f7c91171aad720411aaecc5204

Observation e98e9af5-9f81-4388-b9e6-8c5eca4fdd37 · outbound

This paper cites 1955 , author =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 1955 , author =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.906500Z

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=arxiv_source observed=2026-08-14T05:26:16.096800Z digest=sha256:7ed77c7924edc93d9308375b3f7f32b329e2af506047888ba365db846e6f2458

Observation f17a5df7-55e7-4fee-b0a2-065bee8f334d · outbound

This paper cites 2018 , author =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2018 , author =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.890949Z

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=arxiv_source observed=2026-08-14T05:26:16.101449Z digest=sha256:fc2e03356241747a38232ea8cda9445d7d23dfa29c0f327647a2cffa2d9d410f

Observation d292a55f-9b3d-4c56-8a68-c7cd346e1f90 · outbound

This paper cites , edition =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , edition =

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.875500Z

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=arxiv_source observed=2026-08-14T05:26:16.106097Z digest=sha256:c8927b894876c4e78046a6612875cfec8466bb7d0dee1d4c54677427d2ad9601

Observation 0f3aeda6-1f28-4099-9b6e-74d5812470ad · outbound

This paper cites Grandell , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Grandell , publisher =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.860987Z

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=arxiv_source observed=2026-08-14T05:26:16.111012Z digest=sha256:45ba799c2269a0889598b29285d2042d1ea607134a273eda0f2641820f0f7cf8

Observation 530a7560-9ef6-4633-be10-9c7ddfa93d06 · outbound

This paper cites and Panjer, Harry H.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective and Panjer, Harry H

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.846234Z

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=arxiv_source observed=2026-08-14T05:26:16.116024Z digest=sha256:94f76dc4b2c022fe57bdb6ea68e06170bcf4dd99a0fe5e516c3627c966586a38

Observation 8095d499-a8b1-4cc5-aee4-882a5f0d2567 · outbound

This paper cites 2002 , edition =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2002 , edition =

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.830460Z

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=arxiv_source observed=2026-08-14T05:26:16.120579Z digest=sha256:e57bf7929c1a0f2db5b7e6332816da091aa43cd83f478e05aa127b9cda0589e3

Observation 55d1b107-fc9a-4cf6-9fab-762048485a0f · outbound

This paper cites Digital Signal Processing , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Digital Signal Processing , publisher =

Reference 60

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.612215Z

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=arxiv_source observed=2026-08-14T05:26:16.125119Z digest=sha256:e70ef95e87dc5b13c02e01677555abd67a3459757169ceab181e1221c2b8dafd

Observation 5ce9f8e5-32be-4fcb-be18-a0d5e8883194 · outbound

This paper cites doi:10.1002/0471667196.ess2011 , booktitle =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective doi:10.1002/0471667196.ess2011 , booktitle =

Reference 61

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.597144Z

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=arxiv_source observed=2026-08-14T05:26:16.129782Z digest=sha256:5fe7cefd47afea65fbc1ffc9595fdf96015ff944fe3e725807d75ec541184d54

Observation 62cc727c-36bb-45cb-bc72-2d8938f5546c · outbound

This paper cites Modeling the Spread of Infectious Diseases: A Review , booktitle =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Modeling the Spread of Infectious Diseases: A Review , booktitle =

Reference 62

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.582600Z

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=arxiv_source observed=2026-08-14T05:26:16.134523Z digest=sha256:e807dceafbcdb0429bda22b30e8052d1d3ba4d1a82350ac02cb9944bd45db378

Observation 0a23a485-75aa-41aa-832f-cfe2a86c2b02 · outbound

This paper cites , title =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , title =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.813533Z

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=arxiv_source observed=2026-08-14T05:26:16.140204Z digest=sha256:19bdae9fca4a4a998bb748321a6f22121c99a413bad1b46255eadb19d29caa8d

Observation 8d4d1614-8cbd-499a-8c48-57a4e48fc7b0 · outbound

This paper cites Study of Preemptive Priority Single-server Queue with Peaked Arrival Flow , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Study of Preemptive Priority Single-server Queue with Peaked Arrival Flow , year=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.795481Z

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=arxiv_source observed=2026-08-14T05:26:16.145124Z digest=sha256:82737af49eb5b951e1b42a905887eea38efb13d01bc9c367e9d12b9da5415b49

Observation ca1cb45f-15ba-486a-8cea-b39575aeabb3 · outbound

This paper cites Time-window.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Time-window

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.779864Z

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=arxiv_source observed=2026-08-14T05:26:16.150181Z digest=sha256:75e62b62c5ecddbb560b41e0f78c4a011d14d5964dadde2645b2fd6d501b77a7

Observation 5df8d394-65b0-4bb0-ac9d-ba7c3ef3a755 · outbound

This paper cites , booktitle=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , booktitle=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.763046Z

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=arxiv_source observed=2026-08-14T05:26:16.154833Z digest=sha256:0a9f0dbb6c233e6dbec2c15d3c60530abdfb8853b1c249ee1049df2f29cb8256

Observation 676a4418-21f0-4e00-99ff-5d95078d4697 · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:26:17.747718Z

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=arxiv_source observed=2026-08-14T05:26:16.160027Z digest=sha256:35c529e121ac8e6abf64a718485dae48dc56e5b8fbcfa5e6ed8c7bca62c7214b

Observation 475df6f2-0dfd-4207-b9d6-6e4eceb83f80 · outbound

This paper cites Reliable Software Technologies - Ada-Europe 2000, 5th Ada-Europe International Conference, Potsdam, Germany, June 26-30, 2000, Proceedings , year =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Reliable Software Technologies - Ada-Europe 2000, 5th Ada-Europe International Conference, Potsdam, Germany, June 26-30, 2000, Proceedings , year =

Reference 68

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.566306Z

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=arxiv_source observed=2026-08-14T05:26:16.164674Z digest=sha256:1a75ceed35d31f9faa39f62eeff83a0e8e70920ef0afd5520d8d1f31c279ac41

Observation 907c9f83-812a-45a5-b488-ce1d4096da5e · outbound

This paper cites Empirical.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Empirical

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.730280Z

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=arxiv_source observed=2026-08-14T05:26:16.169437Z digest=sha256:081cb2b800d4e9b6f495c7a974596baf0dc0e8f7c0aa288d3add2bcc61709899

Observation 85443bc4-1025-4098-b6f3-ef30115b4d27 · outbound

This paper cites Pena and G.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Pena and G

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.713953Z

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=arxiv_source observed=2026-08-14T05:26:16.174189Z digest=sha256:7a82a3636f39a00921b789193d1b31177420a431507db7af61a20a73df0cce83

Observation 33af44b4-721e-4b1d-a6d9-b8955951f267 · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:26:17.697414Z

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=arxiv_source observed=2026-08-14T05:26:16.178995Z digest=sha256:9c0d0e36659f7efc6bf382dfaa4fbb85507a132bac30d891e6201ed7925b826f

Observation fae84b37-900a-40fe-8734-895a7c6f435a · outbound

This paper cites Journal of Information Science , volume =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Journal of Information Science , volume =

Reference 72

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.549500Z

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=arxiv_source observed=2026-08-14T05:26:16.183988Z digest=sha256:292ceb0b16b2b24a61f86dc28aa233fe2a2ce87bccdb815b7a12f2319803ab1f

Observation a56ece6e-a3f5-4421-aa8d-df566ce72f6b · outbound

This paper cites Software Reliability Modeled on Contagion , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Software Reliability Modeled on Contagion , year=

Reference 73

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.533971Z

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=arxiv_source observed=2026-08-14T05:26:16.189096Z digest=sha256:72dcaa759da8c727d6456a68f1510dc5cdd25d7bd66859014d3dcd65f5cbd129

Observation 47460edb-84df-4a1d-b392-d61bb4dedfd5 · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-14T05:26:17.681390Z

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=arxiv_source observed=2026-08-14T05:26:16.195211Z digest=sha256:39bec492d7df87ce0396e6e285349386e28e70036b3d6238e777aa52f2a165b5

Observation 5cc31489-28f5-4797-961e-3f3c70da5aed · outbound

This paper cites an unresolved cited work.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Unresolved cited work

Reference 75

Resolution
metadata mismatch
raw_fallback, observed 2026-08-14T05:26:17.006874Z

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=arxiv_source observed=2026-08-14T05:26:16.199832Z digest=sha256:ba4962e1b4542481c0934448220ef4c16dc345b48b768995bdf7a7861c0baee8

Observation 62da970c-f43a-4217-bf6f-919ccf276d73 · outbound

This paper cites A logarithmic burst-noise channel performance analysis and simulation , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective A logarithmic burst-noise channel performance analysis and simulation , year=

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.665378Z

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=arxiv_source observed=2026-08-14T05:26:16.204461Z digest=sha256:ca07b296c53c743d9a0ac7135221a0a457dbb58b888a6a118f33a934cced2827

Observation 00c3b112-75a0-403c-bd58-9d7330c69e95 · outbound

This paper cites VII Congreso Nacional de Ingeniería Informática - Sistemas de Información , title =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective VII Congreso Nacional de Ingeniería Informática - Sistemas de Información , title =

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.648371Z

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=arxiv_source observed=2026-08-14T05:26:16.209096Z digest=sha256:1e762b88ee7a73060a9d34fce017c03957775803fab1b9363732be9988cf3bc0

Observation 04ab95f5-15e9-43d4-8ac4-ab00167dabff · outbound

This paper cites Recent Advancements in Software Reliability Assurance , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Recent Advancements in Software Reliability Assurance , publisher =

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.632444Z

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=arxiv_source observed=2026-08-14T05:26:16.213531Z digest=sha256:8cfde387127aa049e7d282c50435550447a1e54aaa925d5fe879db0c73e5e53e

Observation e55b710d-c363-4f26-9ca5-059646efb134 · outbound

This paper cites System Performance Modeling , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective System Performance Modeling , publisher =

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.615410Z

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=arxiv_source observed=2026-08-14T05:26:16.218418Z digest=sha256:3be6e9095064992b4537011f9c36e057b428a332788e3fedb8155e3abd7989e4

Observation f26de056-a952-49cb-a3f1-b24a3e755055 · outbound

This paper cites Anales de ASSE 2020 , year =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Anales de ASSE 2020 , year =

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.598722Z

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=arxiv_source observed=2026-08-14T05:26:16.223085Z digest=sha256:41e34581fd387d9ea087652042a585e71ae5175b0c62e65c15773154a6449e2a

Observation 5e55d5e6-1143-46e7-b189-2dcce124e93d · outbound

This paper cites 2020 , doi =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2020 , doi =

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.582433Z

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=arxiv_source observed=2026-08-14T05:26:16.227846Z digest=sha256:7c27d6c0e420866d980f6de833866aefc4066441b9fe5f5f9336524ca06ba888

Observation 6a12b6c1-9447-4188-950b-b39ae391b7e2 · outbound

This paper cites Moreno and G.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Moreno and G

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.566992Z

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=arxiv_source observed=2026-08-14T05:26:16.232673Z digest=sha256:ad6ba0f64851a28248aa19a88e83af6b23600528f3a96a81ab45f2cdcba1d496

Observation b1f448da-0ed8-4059-95dd-b3635fad2c63 · outbound

This paper cites Stochastic Modeling of the Mean Time Between Software Failures: A review , year =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Stochastic Modeling of the Mean Time Between Software Failures: A review , year =

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.550500Z

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=arxiv_source observed=2026-08-14T05:26:16.237186Z digest=sha256:1f9310c6a4e16cbb8bfd4617ff302023fd1ba709df52fd9bdbdb9ae63bec7c3a

Observation 2521a8a9-3b4d-40d9-a110-8c9a3d98d01e · outbound

This paper cites doi:https://doi.org/10.1515/em-2022-0106 , year =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective doi:https://doi.org/10.1515/em-2022-0106 , year =

Reference 84

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.517740Z

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=arxiv_source observed=2026-08-14T05:26:16.241939Z digest=sha256:d6464ae086c06c77d907ef37076092868094cce7ca3f1de6248932097148ee45

Observation 17f9a33c-210f-4b95-85af-728841c9e779 · outbound

This paper cites Identifying the Most Relevant Attributes to Explain Peaks of COVID-19 Infections and Deaths by Machine Learning Methods , volume =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Identifying the Most Relevant Attributes to Explain Peaks of COVID-19 Infections and Deaths by Machine Learning Methods , volume =

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.534379Z

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=arxiv_source observed=2026-08-14T05:26:16.246644Z digest=sha256:bfa2387799d93bb94a66fbb7eae05d18ce8d708a44fc1878a0f0cc604f101339

Observation 2bba4d73-6e35-4c3a-8e4d-7148332b8ddf · outbound

This paper cites Network traffic modeled on path dependent queues , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Network traffic modeled on path dependent queues , year=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.518336Z

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=arxiv_source observed=2026-08-14T05:26:16.251471Z digest=sha256:df4d238ae2985e8ceaa1fdc48efe0eb23b0c4535328ca6266e972a977f60053a

Observation 8d5ef262-ce74-4083-959f-9ce83828979d · outbound

This paper cites 2025 , month = feb, publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2025 , month = feb, publisher =

Reference 87

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.502086Z

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=arxiv_source observed=2026-08-14T05:26:16.255911Z digest=sha256:30d3e9d81b10d1fd6c87b45afb688eaac2e24d0baf717e5e7a3309be28b907b3

Observation bb281fc2-c6d6-4fd9-b79e-24047728a9a6 · outbound

This paper cites Neural Information Processing Systems , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Neural Information Processing Systems , year=

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-14T05:26:16.260435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:26:16.260435Z digest=sha256:f20e7db92ba2206c27de6def62538e673a7b48f84430a08ad32f4749f52a73f2

Observation bac21e1d-0d0d-420a-98ee-cc7701acf767 · outbound

This paper cites 2023 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2023 , publisher =

Reference 89

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.485777Z

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=arxiv_source observed=2026-08-14T05:26:16.265345Z digest=sha256:81c9d66f3e2314717d740efa01d582c943c44d016c40bffe25d6d1172881136a

Observation b37684f6-ff56-4d3b-9931-607d0347725a · outbound

This paper cites 2022 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2022 , publisher =

Reference 90

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.468836Z

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=arxiv_source observed=2026-08-14T05:26:16.270092Z digest=sha256:d139cd36d5f44cc4b670e98e29e6edccac6a3f02b3d89b0ad84ac0a6993dad36

Observation 45ae9753-f6c4-4d27-8dc4-a83eadfbbb31 · outbound

This paper cites 2021 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2021 , publisher =

Reference 91

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.453098Z

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=arxiv_source observed=2026-08-14T05:26:16.274827Z digest=sha256:ec7f619ff27cb7f7ec160f700a1ac8ad5a62ffb37d37a91ec83f7f0d5e8fd8c2

Observation 418534b1-fe2e-4d8a-b2aa-5039ac5111d9 · outbound

This paper cites 2021 , publisher =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 2021 , publisher =

Reference 92

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.436445Z

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=arxiv_source observed=2026-08-14T05:26:16.279642Z digest=sha256:2648a401a46308b252af7f53fbadc55b775e3c2985d799c9b49cc52776d9a9da

Observation eba87b17-4be2-47c7-80cd-2fa3e198924d · outbound

This paper cites Arévalo and J.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Arévalo and J

Reference 93

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.420793Z

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=arxiv_source observed=2026-08-14T05:26:16.284587Z digest=sha256:f707967f6b3ed7d817ec6fe08fa254185e751ec93d48aa768bfee9f17a690c03

Observation cab60ab7-45ca-46cb-ac81-bff8b0d78f57 · outbound

This paper cites A Sigmoid Generalized Polya Process for Describing Network Traffic , year=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective A Sigmoid Generalized Polya Process for Describing Network Traffic , year=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.490118Z

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=arxiv_source observed=2026-08-14T05:26:16.289799Z digest=sha256:35f0aedfd852f45b9ea44042d5c7d8b0fcb320a7fcc4f94566f3091f389b7eda

Observation 2b87e048-9795-4f01-88f4-ba1fc72c2ced · outbound

This paper cites , title =.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective , title =

Reference 95

Resolution
verified exact
doi, observed 2026-08-14T05:26:16.404558Z

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=arxiv_source observed=2026-08-14T05:26:16.295408Z digest=sha256:2b4e2450c0d55e987ef0625db5f8f9ccce3c125ee432964f8d5ace354cbdbfa5

Observation 44f19ccc-8a7c-40b4-a68c-d990315782eb · outbound

This paper cites 1971 , booktitle=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective 1971 , booktitle=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.474218Z

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=arxiv_source observed=2026-08-14T05:26:16.300478Z digest=sha256:44df6bbfbae50b689fd5a80e1cd9a5777c901577f705ac4cdef29232e3c80499

Observation bdacfb36-c4e7-4a03-b7a0-84ef06ca6248 · outbound

This paper cites Journal of the Royal Statistical Society: Series B , volume=.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Journal of the Royal Statistical Society: Series B , volume=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.459236Z

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=arxiv_source observed=2026-08-14T05:26:16.305417Z digest=sha256:1b3547ad2a6c3c4103042766bd1fe7612bd494670a2d23296f328817b40b47ec

Observation 8923b673-b011-498b-b37d-75ab39d0e8f7 · outbound

This paper cites Denumerable Markov Chains ,.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective Denumerable Markov Chains ,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T05:26:17.444272Z

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=arxiv_source observed=2026-08-14T05:26:16.310850Z digest=sha256:feafb02ed16b188eacc4702803d8871b1c57544d76d6fe4feb3b2badfdb9d4cc

Observation 7b4142f8-cf4e-48f9-b574-569b397c9b9c · outbound

This paper cites A Stochastic Differential Equation Framework for Multi-Objective.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective A Stochastic Differential Equation Framework for Multi-Objective

Reference 99

Resolution
verified exact
raw_fallback, observed 2026-08-14T05:26:16.937517Z

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=arxiv_source observed=2026-08-14T05:26:16.315797Z digest=sha256:a304dedb0e0214b3b466daa36d06f707f39d5dd0566bc07007c41253efb45baa

Observation b57710eb-bc47-4542-82c9-8ed1197c9616 · outbound

This paper cites A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process.

On the Structural Limits of Machine Learning Decision Systems: An Information-Theoretic, Interaction-Based, and Stochastic-Dynamical Perspective A Stochastic Dynamical Theory of LLM Self-Adversariality: Modeling Severity Drift as a Critical Process

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-08-14T05:26:16.865569Z

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=arxiv_source observed=2026-08-14T05:26:16.320711Z digest=sha256:0eaebe6b8aeef8583de798a064e1ec5ae32eae010417d8ba2b631b49a4bc1f73

Pith citing papers

No inbound Pith citation observations are available.