Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:26:33.162359Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 1 inbound Pith citation observation for arXiv:2508.16659.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:26:33.162359Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T02:59:43.696765Z
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 112 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Shankaranarayanan and J
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Nojiri and S
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Myrzakulov, A
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Weinberg, Rev
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Padmanabhan, Phys
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Tangphati, I
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design al-Badawi, S
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Akiyama et al
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Witten, Nucl
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Al-Badawi, S
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Colladay and V
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Sahni and A
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Amendola, Phys
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Tsujikawa, Class
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Jacobson and D
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Observation a77d6075-edd7-4c4f-80c9-f4383f73ebeb · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Fernando, Gen
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Azreg-Ainou, Eur
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Rovelli, ������� ������� (Cambridge University Press, Cambridge, 2004)
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Akiyama et al
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Hawking, Nature 248, 30 (1974)
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Observation 90dd40fe-08a1-4976-8afa-57f5a9c812f2 · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Bonder, Phys
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Bluhm, Lect
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Mattingly, Living Rev
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Padmanabhan, Gen
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Observation 8ee30fc9-d15f-4cc6-a205-5e9fd5bb9866 · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Penrose, Phys
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Observation f02eb06d-b25c-4557-9d4e-4a34c19a7dda · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Kubiznak and R
Reference 53
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Observation 00444bb8-60d1-4681-85f8-860bc386e76d · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
Reference 54
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Observation e0e3eeda-20c0-42eb-bac4-1e8119e91900 · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Strominger and C
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Observation 41befc3c-73c0-4c4f-bb80-225113cb6078 · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Bambi, ����� ������ � ���������� ��� ������� ������ �������(Springer, New York, 2017)
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Cardoso and J
Reference 65
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Observation daebbe8b-c797-484e-a11c-4d4637387175 · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Observation 98ab0732-8d0e-47eb-951a-1d893be0067b · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Chandrasekhar, ��� ������������ ������ �� ����� ����� (Oxford University Press, Oxford, 1992)
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Regge and J
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Gundlach, R
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Barack, Class
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Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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Reference 92
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Observation 31411084-5a48-4bb5-9c56-abae859d96ba · outbound
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design Unresolved cited work
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AI-accelerated End-to-End Framework for Rapid Professional Upskilling Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design
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