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Paper Citation Record · LEDGER

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2509.09906.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.09906 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:34:13.108989Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

33 of 33 outbound references displayed

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Outbound references

Observation b897f449-0ed1-4a21-86fa-ec9fa449265a · outbound

This paper cites Strict Safety Measures.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Strict Safety Measures

Reference 2

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Observation 2c25f20b-caa3-4cde-83d4-be2ac8775350 · outbound

This paper cites Bacillus cereus—a multifaceted opportunistic pathogen.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Bacillus cereus—a multifaceted opportunistic pathogen

Reference 3

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This paper cites Occurrence of natural Bacillus thuringiensis contaminants and residues of Bacillus thuringiensis-based insecticides on fresh fruits and vegetables.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Occurrence of natural Bacillus thuringiensis contaminants and residues of Bacillus thuringiensis-based insecticides on fresh fruits and vegetables

Reference 4

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Observation a75f0992-9343-4d44-b87b-44ac8e3cb2dc · outbound

This paper cites The higher the value, the higher the preference.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building The higher the value, the higher the preference

Reference 5

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Observation 1a27defe-b071-4246-a3fb-8f95f8313194 · outbound

This paper cites Strict Control.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Strict Control

Reference 6

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This paper cites Bacillus thuringiensis: a successful insecticide with new environmental features and tidings.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Bacillus thuringiensis: a successful insecticide with new environmental features and tidings

Reference 7

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Observation e2e3a014-2405-4bc2-8a49-35af1c75babd · outbound

This paper cites Pest control and resistance management through release of insects carrying a male-selecting transgene.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Pest control and resistance management through release of insects carrying a male-selecting transgene

Reference 8

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Observation 6793c8eb-3a08-4164-b01f-909a6a48ddff · outbound

This paper cites Effective alternatives to hunting exist to tackle disease spread, while ensuring animal welfare.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Effective alternatives to hunting exist to tackle disease spread, while ensuring animal welfare

Reference 9

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Unresolved cited work

Reference 10

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This paper cites Common occurrence of enterotoxin genes and enterotoxicity in Bacillus thuringiensis.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Common occurrence of enterotoxin genes and enterotoxicity in Bacillus thuringiensis

Reference 11

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Observation 05d8bae3-892f-4710-b3d0-517e6495626c · outbound

This paper cites Isolation and characterization of Bacillus cereus-like bacteria from faecal samples from greenhouse workers who are using Bacillus thuringiensis-based insecticides.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Isolation and characterization of Bacillus cereus-like bacteria from faecal samples from greenhouse workers who are using Bacillus thuringiensis-based insecticides

Reference 12

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Observation bd666207-6fc0-4d64-9910-52ba4532a0fd · outbound

This paper cites Enterotoxin production of Bacillus thuringiensis isolates from biopesticides, foods, and outbreaks.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Enterotoxin production of Bacillus thuringiensis isolates from biopesticides, foods, and outbreaks

Reference 14

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Observation 82b7388c-4ebf-4df5-84f5-2b712e7163a0 · outbound

This paper cites Enteropathogenic potential of Bacillus thuringiensis isolates from soil, animals, food and biopesticides.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Enteropathogenic potential of Bacillus thuringiensis isolates from soil, animals, food and biopesticides

Reference 15

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This paper cites To o many wild boar? Modelling fertility control and culling to reduce wild boar numbers in isolated populations.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building To o many wild boar? Modelling fertility control and culling to reduce wild boar numbers in isolated populations

Reference 16

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Unresolved cited work

Reference 17

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This paper cites Wild boar populations up, numbers of hunters down? A review of trends and implications for Europe.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Wild boar populations up, numbers of hunters down? A review of trends and implications for Europe

Reference 18

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Observation 69c51d6f-a88e-4be1-8cc9-a4c1a33b4ae4 · outbound

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Efficacy of hunting, feeding, and fencing to reduce crop damage by wild boars

Reference 19

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Observation a682659c-bad6-4f97-a376-e8ef7ab920a6 · outbound

This paper cites Impact of w ild boar (Sus scrofa) in its introduced and native range: a review.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Impact of w ild boar (Sus scrofa) in its introduced and native range: a review

Reference 20

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Observation 4a5ad482-a6d2-4aec-939e-8e7253e137a7 · outbound

This paper cites African Swine Fever: Transmission, spread, and control through biosecurity and disinfection, including polish trends.

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building African Swine Fever: Transmission, spread, and control through biosecurity and disinfection, including polish trends

Reference 21

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Observation 7dc4129b-604e-49c0-aee4-6dc0014a8f5f · outbound

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Risk negotiation: a framework for One Health risk analysis

Reference 22

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Low-cost electric fencing for peaceful coexistence: An analysis of human-wildlife conflict mitigation strategies in smallholder agriculture

Reference 23

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Efficiency of spreading maize in the garrigues to reduce wild boar (Sus scrofa) damage to Mediterranean vineyards

Reference 24

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building www.ArXiv.com

Reference 25

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building www.wikipedia.org

Reference 26

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building www.duckduckgo.com

Reference 27

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building https://ollama.com/

Reference 28

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building https://openai.com

Reference 29

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building https://gemini.google.com/

Reference 30

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building https://huggingface.co/

Reference 31

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building https://www.llama.com/

Reference 32

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building https://www.nvidia.com/de-de/

Reference 33

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Reference 35

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Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building Should B. thuringiensis continue to be used as biopesticide in Central Europe?

Reference 38

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