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

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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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Observation 6a1647bd-88d0-4b97-986a-fa85c86e3b33 · outbound

This paper cites 1983 , volume =.

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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Observation 48e86ae8-ce01-4dbf-bbba-b25d1fb7d474 · outbound

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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=sha256:5892665bba5855e58a3f0d514bbd9065971dd7c1250fd36233ac3a2199187470

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=sha256:81eac6f3d8dfba520c26d4ad555c04a11a40ebe0934f7d32d83404a165675d2b

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:c17dc98eacd2862ec5bb37090c0219dcd055d7693b4d8680cdb6126607c5ec11

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=sha256:80ce86e13e7a5b6531d49dcdeaf5f37230b08852972841860f4d46160a68feb6

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:c293d3f63e136081f4249e51e894f77eca2478d4611b27f5e37eef6a691042ff

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=sha256:33f7e47f294d91c68d6ae0115a94b1ac21a368d1113ccfcea6628421c1c7acc0

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:d6a4edef13d662c890ce7e229db222a570b82cb37178886bff3b19e8b3d83a54

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=sha256:889bc9abb06a7a720ad1060bfb6805e93dce1018207c53271b9a4eb85a9372f8

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:dc2538c43b37fddb216ff848eaa0bf4a206c543b7454e85e638b7be565a976d1

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=sha256:2d4584b33471329d9ea030b54c5bfe6a98f8be6db9216e00b3c3bca965eca684

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=sha256:009fd8d28c187372e5758d83ed9dbd12b0e3f26f9de557edde2c9aeefda6edc0

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=sha256:6939beb98518750bc9db5593e6d0e0585ea0615bad512c659a75a8a8c33d05be

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=sha256:939ec88efa57bf8c9affcbbcab70bb9e01c8af05a4fc2f333fb42e76023723db

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=sha256:2922954344c9b36fa23bf28f8d55d3893ba22f2fe5465a74ba7ee86e3f7a2a42

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=sha256:5e2dd542bcefbc5dbc290b75401721cccd2253eaf9e49cb217f875109dae7199

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=sha256:22c3dc8c805e031618c7a8cf6f2f06312d16098d3ae868040d659f96320356bd

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=sha256:0a006881f707b07c634b21ad51873a474ea50a898af92af78776aa66ad325e0d

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:f1d9e3c87f0d946f0f393174ef85f3339ebdda79b146b61f7110681b7d17af1c

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=sha256:66d832391a42402df5ff2b5ffcb653faf64f42ada4ac5bca602cafe41d569fac

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=sha256:89ac6651daf23c57cebeb2b4e4de53c9f82dd3e3da7e92a8475ba990ee0cd01e

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=sha256:02ae20fc1954d9ff6ae3ef63bdc4138e384bc08bf3546e5c92c6e4f0264de9ad

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:e69c1b8347817b8e519b8ed1c6125264c0fc4693ad9e8722690e632ff6e80917

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:adcf0c9fea0e01033e82301631ad756309b853d0c1b5416d1e6e1d11be34296f

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=sha256:27345794cc01f5893af661857d828dd673cc7292b71332118cf140463f2cfed6

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:ab47c3e3f53b4f3d851406cb757d7fd6d0e14054b6e8306f85b40b13f804145c

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=sha256:1946f770ea16d443e9f3575c540cde8e1da5712330842785bf035f5bd31f6a39

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:d8c5a41d2e8adfa4079800383e58004462b7f5c98ba02252919c725db9606b04

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:c53229c51e04f83a3bb34012ba0e5b2ffcb22c117fbecb1400360a337cb86969

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:e4bba90f203f44e626515ce20f54bb419339357ff4c0f591dce0866ab6d30d3c

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=sha256:8a2c8f20b7b95450b179b2d2c37c81fe53e3e7a633469f25f39175f5838ab388

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=sha256:66184efb6bd847a8fde5ec8aaa7fd2f980a2c8009332bb237b110ad87e5f5d61

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:feeb3732aa9ecc8cd30b49121b62f314c5147dacc5a8037e1b12a16e7a55dc2b

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:bf67848ed6e6ec33ef5f2fa53b84a70339f2c454ecc9a1eed4c588b74c5bed6e

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=sha256:9ce39747e5021c492f63953f2d8dca3256a5efdc5519c3d116b896d47a8288f7

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=sha256:2c75feff369e731168561be05e4a67b8d3d19d6256a2c9a699c50399ab2082b9

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=sha256:3793db49b09c81071f955cf9b85308035713b4a5a733a70064b6edc85c92cc8f

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:e17f807cc9cf00c70335fb514d6702ee91b4264942dbfe42164be609b69bc838

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=sha256:51e699ac238e8c3567f8ffeddf77e2d90897a105f1abba994ce8e044ee149b50

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=sha256:836ffb2c38404641c06d689d8fdc90290a9ebce1db254e4f640997e0719d48fd

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=sha256:6b6a8feac81962e8b2827a872741992c57c4a8228854d74d338b565efd5a148e

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=sha256:4130f5dd78f4e8a52667ad5491d9a82b0b8d612aea3a7e7f1c156a0ca889aed3

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:df387dd1e5a7c7ff7bd0a3b67cdba05f69eeff2cda8c021e00229718a4ea6af6

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:d3dec5aa08a83008998142a2504005c2ce5e12c138e4046df70134ed028d7398

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=sha256:59faf39ebc3a9f5c995099649c0574b490c97c41f5268c31c2e616e955cea726

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=sha256:6f6d0b601daa2d9f7004d7fa0951f0432512b39e5554392e1212ab7f27e60d6a

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:cfb2b25b489372745363c77bef55a0aa9bfe913cd32a45f9180d615549723dab

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=sha256:9b20e9b147cd8d88fe03004b28bfbc005772a156fdce2948bece725a1b5c38fd

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:c017e56739652d538a668218e59b0dd0262e111f0aec8c898ec5680f8226f519

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=sha256:73915f6f404503a0aa80eff8b0b78ee575230bb11938bdc322174448b8d08cc6

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=sha256:709f1e97dfa95b1bf0e2369e3ae5f2d57fec7f150f354529583bce93f4ee5311

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:f9393837863b67f6d7864f353627471629cd16db46b4596464fcee7552bd11fc

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=sha256:59cb9e41feb417e420a75d67eaef69818a2ae6a726883cd07278a01b183f5bd2

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:d6c08bbd53138e75cf29a10b0b9603d08fe8f24fdc0bb2eb5acf99d66dbde875

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=sha256:1a4c7b17db345a5af635dfab5cfcd8a07936832d68eedd0ccc38d97837bdcd5c

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:a28fca8e109847ba1fdb7abdcd23d0b058edc641da88364979d429557f61401a

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=sha256:7bfb7ce4f938188bce75f7bd071c65e2e76d75e4aac7d4726b15bc78cac70a44

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:a3aa19034e1dad468ac077b8a6a48f4f6e0889a5e0f8c9d25e32c5508ca53581

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:abd368d42bac6f9e32fef24df36338ead628426d202767b8f1b3466fb4a96cc3

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:affd33acee07d24dc4c04944644b8bc20a021d787b09b0b0ff965a7718b37864

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:c668522f3697cd250840ee65ffb25e5573e5dfad67471f72a60277da0fdfd6f1

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=sha256:609072b3e94940a7bfe2d24f5438d6eee91f636e68124ef609e613b313ebba94

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=sha256:21d11d0c620305377f15c352c8653ce33e42d069bfc94184c5494f380863f60b

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:a944149cf4ecccfacabdb697315d7612d285b540ba1eca5b128d5507a183d4ac

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=sha256:38fde1f9350d8ba7c2fccadc13e98203b391d32b7299a21cc8982d89653bded1

Pith citing papers

No inbound Pith citation observations are available.