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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 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+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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Observation cd9c02d6-2468-4d65-b4fe-ebf19619d2d5 · outbound

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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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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Observation c6bc851e-09c0-4cde-8e4f-ab6e66b9e1dd · outbound

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

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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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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=sha256:65503391cdcca80af6fe08536e3873909f7770018f3e6d2ac31f990ae2352646

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=sha256:539e7fc1b1119c6bf7be4245ef974598c5b71e0fa01248ac66f9550dbfc83082

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.023452Z digest=sha256:3872ef2800e9570220c3dfb1d5092a0772fe26aa39526741a57d78d0021e033a

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=sha256:7a201b05b598b2075dc7d884cc43f76f28ac290782503639b3bc7b28dfe0611f

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=sha256:35bc2676ec70678f1c256525e2a89200c477a559618b4e6fc5763dd0d1e4f3c8

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:c1d979ae2e9e1bbe1ebe6734ee0b2632bcc5d3196caa8b47475f38d8e8790f5a

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:efe20c07dd2c6bfd801afa790718bf7a06336741c2070dacde80c9b315cf16e7

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.048975Z digest=sha256:ecdb0f9c40bebe23313376130bf981bea22557c92f0c0f199c4b49e5e57b9aef

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.053540Z digest=sha256:ffdb1039b801149b600e9fa6007e4c7e8eb5a5b49668b991ad73c303bee1a4d5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.058239Z digest=sha256:37d92d6fb3943e1a289d1673a537b63efb15c70a779ef01f9e9e9c18e33d8118

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.062985Z digest=sha256:6f324587f030251da7026a9f6e2421dfaa5a232c7118b401642d8548f0d6d0e0

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.067697Z digest=sha256:fb2421e1c04665f14e681f7c3107e45b68e80e9c4d4c186f4154a2b6968e084a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.072529Z digest=sha256:6c6de29cefb5c19a41fd75d86a16ad43d80e491e81292f85f052ba87649842e3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.077576Z digest=sha256:b5425416496ec19e475116b768d3255987028edfeb026c120414929ad8d21593

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.082715Z digest=sha256:4a192ccc2909b09d51d10286f54997ca8fadac63115059f65ba77d9db09e1262

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.087440Z digest=sha256:7efae4e5bc6da3dfc06df79d67fe3b139cdfeb7a7e6edc3b8a42b526fda7041a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.092072Z digest=sha256:4c3f13b3bbb138f0143f36cca8ef46ac06756c351bbdca55d38f70376bdeb325

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.096800Z digest=sha256:fc75552d59d9923b5e4c41bafbcc574410cdc84d5070fd7780073ac1b51d2e4b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.101449Z digest=sha256:ac222792fac3ecdb4b609b2025e9fb0279b4d2f0100cdfef7d02ea52618a9225

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.106097Z digest=sha256:b0be989202374be2f51a6b4ab7d6c78aa81f97c14d68f15a22aeecb5ea8afd10

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.111012Z digest=sha256:954ce70b9985f9a8aaedb79b611371274cc3e0f6e12caa4819818b0b884fd461

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.116024Z digest=sha256:27b2fe85098025ed3226d3b39c3ddab2b7343efa6573e914f0a1cb75d9e03bfd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.120579Z digest=sha256:07220beac717e78cf61fe053ea8030b388dd4ac4c80f164e7bf3e2eef226909c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.125119Z digest=sha256:78d6f49668fa165f70702b14dd590ab15fb57eb1b1d27195c9367705928465cc

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.129782Z digest=sha256:ae737edaccd1fb138d62b3c6c3d09a7cf1a3174435269cc7237c7ff234fbecd4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.134523Z digest=sha256:f7bc97c29174d83d2d386f5390850c14de483c603df88d2d9680863b878c0c07

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.140204Z digest=sha256:73ac706d99acdec778b5f5afca032a8b234d6bb84a933aca309576340ea6be3d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.145124Z digest=sha256:ec7f974cd51f0a45dc008e21a4bbcc4e949f9cf77b271118326aa1a6a3f6ad3e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.150181Z digest=sha256:a79e18fb4a6e8b15d444d2e5245d44084892318fc54ce3faffec4ccea7e9969f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.154833Z digest=sha256:ee728e8e2a9d8b0fb583f2dc16635d225858bdf2aa55dd4a83fb08c31f1f49bb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.160027Z digest=sha256:aed9abbf0c4f63f85f432ea4c90ae1949da4f5f3666450e2521bf7347a3d2f03

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.164674Z digest=sha256:cd7a34860bb2e6f54a99e0f9f51fb7fc349c894681c3283b850c768f818e4403

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.169437Z digest=sha256:bbdd860269efc8e0aafaf87851f68e48f2dd8e0cd74d63d00f365cb22144c5cb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.174189Z digest=sha256:511f1b4bfd9b30579741b3d42388b92dd11991327d539eb3dc9af8986b5e7269

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.178995Z digest=sha256:6f66c18bf834094a26a7fc4ed380784d26e11bd5cac6ec3f849eacabf276f777

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.183988Z digest=sha256:6403080d0cb68622015ff936a018aef820bfbe1892c382dfee3bd68daf37996c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.189096Z digest=sha256:79040d51e0badc3054bccbe88a3d18db7e33f78678579e4f0b8c5dc74d8a1ef3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.195211Z digest=sha256:32b8eeeabc60bd67bd8a6af4c70461c0ccf0c62bd5af83dbea1789cad73f85a1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.199832Z digest=sha256:7ee06925c9e195059659885f15566fa34f5115f3bb1371a18cd6077d4d3643d1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.204461Z digest=sha256:da9bb91e77d749d10e523330b4fe1503479bbbedf4cd0c4aa19641aa909d8283

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.209096Z digest=sha256:d38aa52452f57910a6e69e0e4dc00896bc01733d38e3b12f57b6e073e3051269

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.213531Z digest=sha256:6e8d542e3f6f2b9a3062d0f0b6fb7e423d44cc4d01bd8a109b140e2c74caa535

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.218418Z digest=sha256:c9dc1ae0348d654f6dbc35485e42808f05b97149f2a7f3fc84b7eb379780d421

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.223085Z digest=sha256:9df575b73ad434447ed36b44ddd76c7c74667344e0a9836d6e4f8dafcbd93b2c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.227846Z digest=sha256:414dd91f062df0ef0d3a5497a58378067430f6d7227672328be551a9dadbec25

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.232673Z digest=sha256:3d9cc78aae31da2822db635801dec6718996e857888dc9d9f57c976d5c4334f0

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.237186Z digest=sha256:fc239e723f4147a845e777938e2c4fb77a3eadcaf82c85cc10edbc479e1a464c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.241939Z digest=sha256:f27a7c7198e93e02992cbae64ddd4b5998fe395f5883a3aadae9c2e2f8dedad2

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.246644Z digest=sha256:276a64f01919e60146955abce5ed93941677de20e0094e2a6a8ca65a073d9a50

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.251471Z digest=sha256:ae8b2991e9ae8132370a431a0d518794866cfe24874044e2b194b8f3e38531af

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.255911Z digest=sha256:681c76e94fd7c35ddd25652fa76473927b6655122d47142fbae75c065d324237

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=sha256:11086e16d27faff596262f76f00cb1ce32bf0236980766b7edfe2d5b699ca2c5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.265345Z digest=sha256:43daf92ed9d78fce66df603ae84249ba526034369464fa70239ad300996d8297

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.270092Z digest=sha256:411caa897ed793457e7e5ce8be756b7e665de22ecc5d8a40dc3e50e3224ab5fb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.274827Z digest=sha256:668d1d0609127211d0c5571c1c4cfbc54db6979989a88db1f9c0eaedee57dddb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.279642Z digest=sha256:22d7cbac50de6133b75d6507a6a892c2f50644c48c55e57270d89b3be900bd3a

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.284587Z digest=sha256:c4a167eec2a79c064a3c06696ff6f73155d94aa1ee066ee47b5becb875101c11

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.289799Z digest=sha256:01445fa764cc3c8cadbb3fc92ae36576a4455194c7e3c77d08eb2e98a3157bb6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.295408Z digest=sha256:edadcc7095e00bc6c632371abff09612594a803ec5d968a36bef7bc54d247224

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.300478Z digest=sha256:ae848dd58bde2edb1473012ffccd0571766c104c6598fb2e4c1be1419d7f4e8e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.305417Z digest=sha256:e8fc32b9911f2efa6b760642d17b163b17226218e5acc154286dafd78fc99554

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.310850Z digest=sha256:6a381d056a839d87e59e17c5899f56f77ef0a67632018d49a8e7e27c9464372c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.315797Z digest=sha256:7b5d25fff097c9148ce4c68173f1e9862f5c4590d3c93b2c29c6e6549f3bee3b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-14T05:26:16.320711Z digest=sha256:4bf889a6414bdcc5b206066131a99e4a3c6865cfe55da39d51e1f3abcf890573

Pith citing papers

No inbound Pith citation observations are available.