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Research . 2026
License: CC BY
Data sources: Datacite
ZENODO
Research . 2026
License: CC BY
Data sources: Datacite
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Reverse-STP for Historical Ingestion: Machine-Actionable Distrust Without Ground Truth

Authors: Mohan, Deepak;

Reverse-STP for Historical Ingestion: Machine-Actionable Distrust Without Ground Truth

Abstract

Modern inference engines routinely treat ingested text as stable evidence, despite the reality that historical and institutional corpora are frequently edited, translated, summarized, or re- framed by power. We introduce Reverse-STP: a source-first solvency gate applied at ingestion that measures closure pressure (e.g., causal bridge injection, psychologizing interiority, teleological inevitability, agency diffusion, and register normalization). The output is a Source Solvency score (SUs) and tier that caps the strength of downstream claims without requiring access to ground truth. Reverse-STP supports retroactive re-auditing, enabling inferability to evolve as detection improves. We provide an IEP/2.0 machine contract (HIST_CLOSURE_AXIS_01), a conservative profile selector across genres, and a change-point comparator for edition drift.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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