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Paper Citation Record · LEDGER

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions

As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.24589.

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

pith.paper-citation-record.v1
2607.24589 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:11:24.522181Z

measured 31 of 31 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

31 of 31 outbound references displayed

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Outbound references

Observation b249f0bf-2d43-4b65-a052-6674fad75749 · outbound

This paper cites Platform for knowledge society and innovation ecosystems.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Platform for knowledge society and innovation ecosystems

Reference 1

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Observation 7633574b-50e0-48f5-a5f6-bd368efd6eb1 · outbound

This paper cites Ai in supply chain performance and resilience: a literature review.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Ai in supply chain performance and resilience: a literature review

Reference 5

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Observation e949b16a-77b6-4e6f-b512-b77915f95379 · outbound

This paper cites State of the art and future trends of optimality and adaptability articulated mechanisms for manufacturing control systems.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions State of the art and future trends of optimality and adaptability articulated mechanisms for manufacturing control systems

Reference 7

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Observation 22c74339-7e44-4c5c-91f8-dc739e6b5cf8 · outbound

This paper cites a good algorithm does not steal–it imitates.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions a good algorithm does not steal–it imitates

Reference 9

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Observation 7cef1ed6-7303-436b-a04e-fd1fef71db7f · outbound

This paper cites Intellectual properties of artificial creativity: dismantling originality in european’s legal framework.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Intellectual properties of artificial creativity: dismantling originality in european’s legal framework

Reference 10

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source=pdf_text observed=2026-07-31T11:11:22.898725Z digest=sha256:b225c3fbb28ed03da0bf431d4981d1e5cebd8198aae3f79891af6b8247ce9be5

Observation 5093cf83-6080-4ce7-a8d3-50076f072e93 · outbound

This paper cites an unresolved cited work.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Unresolved cited work

Reference 11

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source=pdf_text observed=2026-07-31T11:11:22.946110Z digest=sha256:94ca67aa2afbd2bc404ce129039746da6c6e1656dce4e16ee63cd113c4d7874b

Observation 7d78112b-c0e4-4360-b9c8-5ae023880f88 · outbound

This paper cites Humans as creativity gatekeepers: Are we biased against ai creativity?Journal of Business and Psychology, 39(3):643–656, 2024a.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Humans as creativity gatekeepers: Are we biased against ai creativity?Journal of Business and Psychology, 39(3):643–656, 2024a

Reference 12

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source=pdf_text observed=2026-07-31T11:11:23.100906Z digest=sha256:b216140e36f3f0aabf76543a93d092fa09350c0040f28c098a156c2876d80f6a

Observation f39d7720-f507-4216-8a45-d153c04b5715 · outbound

This paper cites Can machines design? an artificial general intelligence approach.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Can machines design? an artificial general intelligence approach

Reference 14

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source=pdf_text observed=2026-07-31T11:11:23.256378Z digest=sha256:58bd7628fdb77104f00541046f5097aafee01bf807007293fb92624416776e81

Observation 354967ff-def4-4352-8ae0-d969d1376a6a · outbound

This paper cites The conditions of artificial general intelligence: logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions The conditions of artificial general intelligence: logic, autonomy, resilience, integrity, morality, emotion, embodiment, and embeddedness

Reference 15

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source=pdf_text observed=2026-07-31T11:11:23.326828Z digest=sha256:d2be36a5cfcb431d4bf30199b6cb52968594a7599d8be3d22fb341a66917a01a

Observation 7e75aa31-f5d8-4c72-ad8f-734e785c920b · outbound

This paper cites A Framework for Searching for General Artificial Intelligence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions A Framework for Searching for General Artificial Intelligence

Reference 16

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Observation 609067e5-40aa-441f-8e12-74b533ad1e35 · outbound

This paper cites 2020 survey of artificial general intelligence projects for ethics, risk, and policy.Global Catastrophic Risk Institute Technical Report, pages 20–1,.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions 2020 survey of artificial general intelligence projects for ethics, risk, and policy.Global Catastrophic Risk Institute Technical Report, pages 20–1,

Reference 17

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Observation 32929307-334b-4332-9251-e32ef2022e4d · outbound

This paper cites OpenDataLab: Empowering General Artificial Intelligence with Open Datasets.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions OpenDataLab: Empowering General Artificial Intelligence with Open Datasets

Reference 19

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Observation c0bb9ed7-f3a9-4e42-8e92-5da62329d145 · outbound

This paper cites AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence

Reference 20

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Observation d4e5ae9d-b3d9-4b15-b1d2-00aeaf6e7e84 · outbound

This paper cites From machine learning to artificial general intelligence: A roadmap and implications.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions From machine learning to artificial general intelligence: A roadmap and implications

Reference 22

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Observation 920eed07-0349-4b68-9ad3-ad3654f223e4 · outbound

This paper cites The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions The future of human-AI collaboration: a taxonomy of design knowledge for hybrid intelligence systems

Reference 23

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Observation a906fbdb-819e-4e66-8b06-cc41d268d3fd · outbound

This paper cites Human digital twins: Two-layer machine learning architecture for intelligent human-machine collaboration.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Human digital twins: Two-layer machine learning architecture for intelligent human-machine collaboration

Reference 24

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Observation f495172d-f3f2-4144-9009-458f0d7f7c86 · outbound

This paper cites A human-cyber-physical system toward intelligent wind turbine operation and maintenance.Sustainability, 13(2):561, 2021a.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions A human-cyber-physical system toward intelligent wind turbine operation and maintenance.Sustainability, 13(2):561, 2021a

Reference 25

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Observation 5860f1a6-e4a7-4085-a581-3f36daf6e940 · outbound

This paper cites A Review on Building Blocks of Decentralized Artificial Intelligence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions A Review on Building Blocks of Decentralized Artificial Intelligence

Reference 27

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Observation 172bbb12-9dd9-4e9f-a9ad-d2cc06f509c6 · outbound

This paper cites Multi-agent systems and decentralized artificial superintelligence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Multi-agent systems and decentralized artificial superintelligence

Reference 28

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Observation 37f0961f-8278-463a-9e5f-5bb2366a9374 · outbound

This paper cites Security and Privacy Issues in Deep Learning.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Security and Privacy Issues in Deep Learning

Reference 29

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Observation 9dac46d5-163d-4d98-b6ab-72e190bae387 · outbound

This paper cites Security and Privacy for Artificial Intelligence: Opportunities and Challenges.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Security and Privacy for Artificial Intelligence: Opportunities and Challenges

Reference 30

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Observation 82c7879b-f54d-4a4e-ae8e-d4bc63f8dbb6 · outbound

This paper cites Privacy-preserving ai services through data decentralization.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Privacy-preserving ai services through data decentralization

Reference 31

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Observation 4bb47b7a-76e1-4e08-8a3e-f9ef3f2d4c08 · outbound

This paper cites Phikon-v2, A large and public feature extractor for biomarker prediction.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Phikon-v2, A large and public feature extractor for biomarker prediction

Reference 32

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Observation 7e65dbc3-9d15-4da5-8a3b-5514a6e90df4 · outbound

This paper cites A promising path towards autoformalization and general artificial intelligence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions A promising path towards autoformalization and general artificial intelligence

Reference 2016

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Observation a048d5e2-13dd-48af-881c-2f626a015e1f · outbound

This paper cites A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions A Conceptual Bio-Inspired Framework for the Evolution of Artificial General Intelligence

Reference 2018

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Observation 521b6621-f49f-41eb-8ae4-3b0b513243c6 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 2019

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Observation 739ea4da-3bba-4eca-bcac-043e6c01e451 · outbound

This paper cites The Innovation Paradox: Concept Space Expansion with Diminishing Originality and the Promise of Creative AI.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions The Innovation Paradox: Concept Space Expansion with Diminishing Originality and the Promise of Creative AI

Reference 2020

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Observation eaf14a9d-6ee1-48ca-be50-ab8e8a6ba7f3 · outbound

This paper cites Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Agile, Antifragile, Artificial-Intelligence-Enabled, Command and Control

Reference 2021

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Observation 7176493a-2861-43a6-903b-ec11953e940a · outbound

This paper cites The processes of ecosystem emergence.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions The processes of ecosystem emergence

Reference 2022

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Observation 7ae3246c-91db-4bbf-86cf-813b6495aef0 · outbound

This paper cites Evaluation of key impression of resilient supply chain based on artificial intelligence of things (AIoT).

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Evaluation of key impression of resilient supply chain based on artificial intelligence of things (AIoT)

Reference 2023

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Observation 87cdd7a7-0545-4b87-8a6f-06f66a2c221a · outbound

This paper cites Cooperative Resilience in Artificial Intelligence Multiagent Systems.

Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions Cooperative Resilience in Artificial Intelligence Multiagent Systems

Reference 2024

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Pith citing papers

No inbound Pith citation observations are available.