A Verbatim-Grounded, Field-Neutral Tag Layer for Cross-Disciplinary Reading of Academic Literature: A Proof of Format

Academic knowledge is written almost entirely in natural language, which makes it readable by humans but hard to query across disciplines that use different words for related things. We describe a tag layer that assigns every paper the same small set of field-neutral facets — claim type, phenomenon (a normalised join key), claim relations, replication status, and limitations — under one non-negotiable rule: every tag is grounded in an exact, verbatim sentence from the paper's own text. We report a proof-of-format on a curated corpus of 126 papers spanning 39 disciplines (1866–2023), of which 116 were fully faceted. The format is feasible and verifiable: 127 claim-relations and 87 limitations, each substring-checked against the source. It is also honest about what it did not do: a novelty scan surfaced no cross-disciplinary link that the literature had not already drawn, and the phenomenon facets, written as specific verbatim-anchored strings, rarely collide across fields — indicating that a canonical join vocabulary, not free text, is the missing ingredient for surfacing new links. We argue the value of the layer is as a compass for "far reading" that points where slow close reading may be worthwhile, not as an answer engine.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-18
DOI
https://doi.org/10.5281/zenodo.21429866
Primary Topic
Biomedical Text Mining and Ontologies
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

A Verbatim-Grounded, Field-Neutral Tag Layer for Cross-Disciplinary Reading of Academic Literature: A Proof of Format

Shir Sivroni
Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
preprint

A Verbatim-Grounded, Field-Neutral Tag Layer for Cross-Disciplinary Reading of Academic Literature: A Proof of Format

Shir Sivroni
preprint en

Abstract

Academic knowledge is written almost entirely in natural language, which makes it readable by humans but hard to query across disciplines that use different words for related things. We describe a tag layer that assigns every paper the same small set of field-neutral facets — claim type, phenomenon (a normalised join key), claim relations, replication status, and limitations — under one non-negotiable rule: every tag is grounded in an exact, verbatim sentence from the paper's own text. We report a proof-of-format on a curated corpus of 126 papers spanning 39 disciplines (1866–2023), of which 116 were fully faceted. The format is feasible and verifiable: 127 claim-relations and 87 limitations, each substring-checked against the source. It is also honest about what it did not do: a novelty scan surfaced no cross-disciplinary link that the literature had not already drawn, and the phenomenon facets, written as specific verbatim-anchored strings, rarely collide across fields — indicating that a canonical join vocabulary, not free text, is the missing ingredient for surfacing new links. We argue the value of the layer is as a compass for "far reading" that points where slow close reading may be worthwhile, not as an answer engine.

Zenodo (CERN European Organization for Nuclear Research)
Open University of Israel (IL)
Quality Education
Biomedical Text Mining and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.