Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.01294.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T18:23:26.267312Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:31:03.168715Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation daeef872-b5e5-4936-a120-bb95b156681a · inbound
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework cites this paper.
Diagnosing Failures in Large Language Models' Answers: Integrating Error Attribution into Evaluation Framework Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:23:26.267312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 015b9d05-6afb-494b-987e-2466139f335c · inbound
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? cites this paper.
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:14:14.909542Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86613bcb-19aa-4882-a914-8a8530125a85 · inbound
Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI cites this paper.
Discerning Authorship in Online Health Communities: Experience, Trust, and Transparency Implications for Moderating AI Is GPT-3 Text Indistinguishable from Human Text? Scarecrow: A Framework for Scrutinizing Machine Text
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T13:31:03.174696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.