{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CHLMVTQMGLPLZG43JL4JKOZXGP","short_pith_number":"pith:CHLMVTQM","schema_version":"1.0","canonical_sha256":"11d6cace0c32debc9b9b4af8953b3733d9adfa75ec50eb1c09e574e6a9d643e0","source":{"kind":"arxiv","id":"2507.17680","version":1},"attestation_state":"computed","paper":{"title":"Simulating multiple human perspectives in socio-ecological systems using large language models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Calum Brown, Ioannis Kyriakou, Mark Rounsevell, Ronja Hotz, Yongchao Zeng","submitted_at":"2025-07-23T16:42:51Z","abstract_excerpt":"Understanding socio-ecological systems requires insights from diverse stakeholder perspectives, which are often hard to access. To enable alternative, simulation-based exploration of different stakeholder perspectives, we develop the HoPeS (Human-Oriented Perspective Shifting) modelling framework. HoPeS employs agents powered by large language models (LLMs) to represent various stakeholders; users can step into the agent roles to experience perspectival differences. A simulation protocol serves as a \"scaffold\" to streamline multiple perspective-taking simulations, supporting users in reflectin"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.17680","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-07-23T16:42:51Z","cross_cats_sorted":["cs.CY"],"title_canon_sha256":"80fcbf9de8dab4bada3c769a119348e21be712bc6850289a6213d750d6da049e","abstract_canon_sha256":"67904fa7f0e656eb63ef1ea9903e784a1e7bfdf313d32e4148f8c693aa77b721"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:11.631646Z","signature_b64":"aSXuoc+8Sv9hbo+eeTn6mCKCp+ttnD1BKjhjRGOknH226iB2GEuuZHkgjn85HV6ICrYx4zjaIl7M4JkLaer0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11d6cace0c32debc9b9b4af8953b3733d9adfa75ec50eb1c09e574e6a9d643e0","last_reissued_at":"2026-07-05T11:42:11.631187Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:11.631187Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Simulating multiple human perspectives in socio-ecological systems using large language models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CY"],"primary_cat":"cs.AI","authors_text":"Calum Brown, Ioannis Kyriakou, Mark Rounsevell, Ronja Hotz, Yongchao Zeng","submitted_at":"2025-07-23T16:42:51Z","abstract_excerpt":"Understanding socio-ecological systems requires insights from diverse stakeholder perspectives, which are often hard to access. To enable alternative, simulation-based exploration of different stakeholder perspectives, we develop the HoPeS (Human-Oriented Perspective Shifting) modelling framework. HoPeS employs agents powered by large language models (LLMs) to represent various stakeholders; users can step into the agent roles to experience perspectival differences. A simulation protocol serves as a \"scaffold\" to streamline multiple perspective-taking simulations, supporting users in reflectin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17680","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.17680/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.17680","created_at":"2026-07-05T11:42:11.631247+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.17680v1","created_at":"2026-07-05T11:42:11.631247+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17680","created_at":"2026-07-05T11:42:11.631247+00:00"},{"alias_kind":"pith_short_12","alias_value":"CHLMVTQMGLPL","created_at":"2026-07-05T11:42:11.631247+00:00"},{"alias_kind":"pith_short_16","alias_value":"CHLMVTQMGLPLZG43","created_at":"2026-07-05T11:42:11.631247+00:00"},{"alias_kind":"pith_short_8","alias_value":"CHLMVTQM","created_at":"2026-07-05T11:42:11.631247+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.03784","citing_title":"Empirical behavioural heterogeneity shapes the dynamics of an agent-based land use model","ref_index":44,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP","json":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP.json","graph_json":"https://pith.science/api/pith-number/CHLMVTQMGLPLZG43JL4JKOZXGP/graph.json","events_json":"https://pith.science/api/pith-number/CHLMVTQMGLPLZG43JL4JKOZXGP/events.json","paper":"https://pith.science/paper/CHLMVTQM"},"agent_actions":{"view_html":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP","download_json":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP.json","view_paper":"https://pith.science/paper/CHLMVTQM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.17680&json=true","fetch_graph":"https://pith.science/api/pith-number/CHLMVTQMGLPLZG43JL4JKOZXGP/graph.json","fetch_events":"https://pith.science/api/pith-number/CHLMVTQMGLPLZG43JL4JKOZXGP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP/action/storage_attestation","attest_author":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP/action/author_attestation","sign_citation":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP/action/citation_signature","submit_replication":"https://pith.science/pith/CHLMVTQMGLPLZG43JL4JKOZXGP/action/replication_record"}},"created_at":"2026-07-05T11:42:11.631247+00:00","updated_at":"2026-07-05T11:42:11.631247+00:00"}