Evidence map›Paper›PMID 42818481›Full record

ArticleResearch square2026

STDN-GEN: rapid synthesis of layered critical-material dependency networks for supply-chain sustainability analysis.

Aaron Schroeder, Mandy L Wilson, Galen S Harrison, Dustin Machi, Brian Klahn, Samarth Swarup, Anil Vullikanti, Achla Marathe, Margaret Foster, Philip B K Potter and 1 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in Research square, 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

11 authors.

Aaron SchroederBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-4372-2241
Mandy L WilsonBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0002-4778-5744
Galen S HarrisonBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
Dustin MachiBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
Brian KlahnBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
Samarth SwarupBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
Anil VullikantiBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
Achla MaratheBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.
Margaret FosterNational Security Data and Policy Institute, University of Virginia, Charlottesville, VA, USA.
Philip B K PotterNational Security Data and Policy Institute, University of Virginia, Charlottesville, VA, USA.
Madhav V MaratheBiocomplexity Institute, University of Virginia, Charlottesville, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing a critical-material supply chain first requires a map: which components make up a technology, which materials those components need, and which countries produce those materials. Building such maps is slow, manual work, which limits how many technologies an analyst can screen. We introduce STDN-GEN, a system in which several large-language-model agents draft these maps and reconcile their proposals against a curated vocabulary of component and material names. The output is an auditable four-level network from technology to component to material to producing country, built in minutes rather than days. Across 180 technologies in microelectronics, biotechnology, and pharmaceuticals, enforcing the shared vocabulary is by far the largest source of run-to-run reproducibility, raising agreement between repeated analyses of the same technology roughly fivefold; debate between agents helps in some domains and widens the set of candidate dependencies in others. The system recovers 98% of the components human annotators identified, and its maps reproduce the extreme production concentration that published assessments report for neodymium.

Indexed as

critical materialsdependency networkslarge language modelsmulti-agent systemssupply chainsustainability

Identifiers

PMID42818481
PMCPMC13622788

What OpenQuestion holds

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Registered trials

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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.