Evidence map›Paper›PMID 42255017›Full record

ArticlePNAS nexus2026

DebtStreamness: an ecological approach to credit flows in interfirm networks.

Anahí Rodríguez-Martínez, Silvia Bartolucci, Francesco Caravelli, Victoria Landaberry, Pierpaolo Vivo, Fabio Caccioli

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PNAS nexus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Anahí Rodríguez-MartínezDepartment of Computer Science, University College London, Gower Street, London WC1E 6EA, United Kingdom.ORCID https://orcid.org/0000-0002-6227-0538
Silvia BartolucciDepartment of Computer Science, University College London, Gower Street, London WC1E 6EA, United Kingdom.ORCID https://orcid.org/0000-0003-1127-5600
Francesco CaravelliTheoretical Division, Los Alamos National Laboratory, Los Alamos 87545, NM, USA.ORCID https://orcid.org/0000-0001-7964-3030
Victoria LandaberryFinancial Stability Department, Banco Central del Uruguay, 777 Diagonal J.P. Fabini., Montevideo 11100, Uruguay.ORCID https://orcid.org/0000-0002-5670-4838
Pierpaolo VivoDepartment of Mathematics, King's College London, Strand, London WC2R 2LS, United Kingdom.ORCID https://orcid.org/0000-0002-2366-3080
Fabio CaccioliDepartment of Computer Science, University College London, Gower Street, London WC1E 6EA, United Kingdom.ORCID https://orcid.org/0000-0002-6819-2278

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how credit flows through interfirm networks is critical for assessing financial stability and systemic risk. In this study, we introduce

Indexed as

economic networksinterfirm credittrophic levels

Identifiers

PMID42255017
PMCPMC13237432

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.