{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:3T2UJFK35OP6TQI3OBLCZDS52W","short_pith_number":"pith:3T2UJFK3","schema_version":"1.0","canonical_sha256":"dcf544955beb9fe9c11b70562c8e5dd5bb27b9bc0d141ce6be9d52a3b97f1e92","source":{"kind":"arxiv","id":"2606.27860","version":1},"attestation_state":"computed","paper":{"title":"Extracting behavioural properties from face-to-face interactions temporal networks: a measure of egonet persistency","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.soc-ph","authors_text":"Elisa Kl\\\"uger, Gabriel Maurial, Mathieu G\\'enois","submitted_at":"2026-06-26T08:57:56Z","abstract_excerpt":"Understanding how individuals repeat social interactions over time is a central problem in the analysis of temporal networks. In social systems, repeated interactions shape processes such as information diffusion, collective coordination, and the emergence of social structure. Existing measures of egonet persistence often conflate genuine behavioural regularities with structural effects such as node degree, making it difficult to distinguish meaningful temporal correlations from random mixing.\n  In this work, we introduce the Neighbourhood Persistency Criterion (NPC), a statistically grounded "},"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":"2606.27860","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"physics.soc-ph","submitted_at":"2026-06-26T08:57:56Z","cross_cats_sorted":["physics.comp-ph"],"title_canon_sha256":"efcb0ba84d69d46d2169b3b86d2a73e2fe918b4412577ca81e476c92ea105cd5","abstract_canon_sha256":"edc20334382c566c67260e650fe672b14920309c995dd3d8d4ecff7cf5c6adb4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-29T01:14:50.909546Z","signature_b64":"3tJL2h4fHXo+fvWkJ/BAeq+1dNt7XyVV0scI5wjikE+CYlvzZSL5DrvBIxwI+wUV+8dI1RIBa3f/eYqQY3wdCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dcf544955beb9fe9c11b70562c8e5dd5bb27b9bc0d141ce6be9d52a3b97f1e92","last_reissued_at":"2026-06-29T01:14:50.909113Z","signature_status":"signed_v1","first_computed_at":"2026-06-29T01:14:50.909113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Extracting behavioural properties from face-to-face interactions temporal networks: a measure of egonet persistency","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["physics.comp-ph"],"primary_cat":"physics.soc-ph","authors_text":"Elisa Kl\\\"uger, Gabriel Maurial, Mathieu G\\'enois","submitted_at":"2026-06-26T08:57:56Z","abstract_excerpt":"Understanding how individuals repeat social interactions over time is a central problem in the analysis of temporal networks. In social systems, repeated interactions shape processes such as information diffusion, collective coordination, and the emergence of social structure. Existing measures of egonet persistence often conflate genuine behavioural regularities with structural effects such as node degree, making it difficult to distinguish meaningful temporal correlations from random mixing.\n  In this work, we introduce the Neighbourhood Persistency Criterion (NPC), a statistically grounded "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.27860","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/2606.27860/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":"2606.27860","created_at":"2026-06-29T01:14:50.909181+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.27860v1","created_at":"2026-06-29T01:14:50.909181+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.27860","created_at":"2026-06-29T01:14:50.909181+00:00"},{"alias_kind":"pith_short_12","alias_value":"3T2UJFK35OP6","created_at":"2026-06-29T01:14:50.909181+00:00"},{"alias_kind":"pith_short_16","alias_value":"3T2UJFK35OP6TQI3","created_at":"2026-06-29T01:14:50.909181+00:00"},{"alias_kind":"pith_short_8","alias_value":"3T2UJFK3","created_at":"2026-06-29T01:14:50.909181+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W","json":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W.json","graph_json":"https://pith.science/api/pith-number/3T2UJFK35OP6TQI3OBLCZDS52W/graph.json","events_json":"https://pith.science/api/pith-number/3T2UJFK35OP6TQI3OBLCZDS52W/events.json","paper":"https://pith.science/paper/3T2UJFK3"},"agent_actions":{"view_html":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W","download_json":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W.json","view_paper":"https://pith.science/paper/3T2UJFK3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.27860&json=true","fetch_graph":"https://pith.science/api/pith-number/3T2UJFK35OP6TQI3OBLCZDS52W/graph.json","fetch_events":"https://pith.science/api/pith-number/3T2UJFK35OP6TQI3OBLCZDS52W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W/action/storage_attestation","attest_author":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W/action/author_attestation","sign_citation":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W/action/citation_signature","submit_replication":"https://pith.science/pith/3T2UJFK35OP6TQI3OBLCZDS52W/action/replication_record"}},"created_at":"2026-06-29T01:14:50.909181+00:00","updated_at":"2026-06-29T01:14:50.909181+00:00"}