Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:50:13.083021Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 2 inbound Pith citation observations for arXiv:2505.17500.
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 2026-08-07T14:50:13.083021Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T15:55:13.676576Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T17:01:08.448334Z
74 of 74 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8576929d-5dcb-4f56-8c1f-92afb1ff71c9 · outbound
The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Unresolved cited work
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Unresolved cited work
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Tyson and B
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes This mirrored the ‘process.md‘ workflow where AI provides initial drafts that humans then curate and enhance
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Unresolved cited work
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Baker, 1,500 scientists lift the lid on reproducibility, Nature533, 452 (2016)
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Unresolved cited work
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Mongillo and M
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Jacobsen, R
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Token Space: A Category Theory Framework for AI Computations
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Balazevic, C
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The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e819141e-47ef-4da3-82b2-9eacec90418f · inbound
Is the `Agent' Paradigm a Limiting Framework for Next-Generation Intelligent Systems? The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes
Reference 60
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Observation 018902f2-5417-47e3-b633-53b1e8b2206f · inbound
SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning The Discovery Engine: A Framework for AI-Driven Synthesis and Navigation of Scientific Knowledge Landscapes
Reference 2
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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.