{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:YTE6KJPMQ3MFPWT253ISORPCCI","short_pith_number":"pith:YTE6KJPM","schema_version":"1.0","canonical_sha256":"c4c9e525ec86d857da7aeed12745e2120892e9965520e6957dea94ad7386cfa8","source":{"kind":"arxiv","id":"2210.17505","version":5},"attestation_state":"computed","paper":{"title":"Space-Fluid Adaptive Sampling by Self-Organisation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MA","cs.SY","eess.SY"],"primary_cat":"cs.DC","authors_text":"Danilo Pianini, Franco Zambonelli, Mirko Viroli, Roberto Casadei, Stefano Mariani","submitted_at":"2022-10-31T17:29:41Z","abstract_excerpt":"A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes. Especially in large-scale settings, the problem can be addressed through decentralised and situated computing systems: nodes can locally sense, process, and act upon signals, and coordinate with neighbours to implement collective strategies. Accordingly, in this work we devise distributed coordination strategies for the estimation of a spatial phenomenon through collaborative adaptive sampling. Our design is based on t"},"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":"2210.17505","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2022-10-31T17:29:41Z","cross_cats_sorted":["cs.AI","cs.MA","cs.SY","eess.SY"],"title_canon_sha256":"37d418df22539bb388713f832122d7169949468262857ee73800ef8ea63061d6","abstract_canon_sha256":"e4da062a51bec2260e2784a138c79fb0c838678eab8c5d16663e62f9ae43b8fb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:44:41.003582Z","signature_b64":"zSy+yWNRY1Bby2e3NpdCdSG18sx0OwnTuSVHOqEfe7xaQkTgWln9145GZ8XXnVhYla4UUxm4711WSh9X+OR7DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4c9e525ec86d857da7aeed12745e2120892e9965520e6957dea94ad7386cfa8","last_reissued_at":"2026-07-05T07:44:41.003121Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:44:41.003121Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Space-Fluid Adaptive Sampling by Self-Organisation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MA","cs.SY","eess.SY"],"primary_cat":"cs.DC","authors_text":"Danilo Pianini, Franco Zambonelli, Mirko Viroli, Roberto Casadei, Stefano Mariani","submitted_at":"2022-10-31T17:29:41Z","abstract_excerpt":"A recurrent task in coordinated systems is managing (estimating, predicting, or controlling) signals that vary in space, such as distributed sensed data or computation outcomes. Especially in large-scale settings, the problem can be addressed through decentralised and situated computing systems: nodes can locally sense, process, and act upon signals, and coordinate with neighbours to implement collective strategies. Accordingly, in this work we devise distributed coordination strategies for the estimation of a spatial phenomenon through collaborative adaptive sampling. Our design is based on t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.17505","kind":"arxiv","version":5},"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/2210.17505/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":"2210.17505","created_at":"2026-07-05T07:44:41.003182+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.17505v5","created_at":"2026-07-05T07:44:41.003182+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.17505","created_at":"2026-07-05T07:44:41.003182+00:00"},{"alias_kind":"pith_short_12","alias_value":"YTE6KJPMQ3MF","created_at":"2026-07-05T07:44:41.003182+00:00"},{"alias_kind":"pith_short_16","alias_value":"YTE6KJPMQ3MFPWT2","created_at":"2026-07-05T07:44:41.003182+00:00"},{"alias_kind":"pith_short_8","alias_value":"YTE6KJPM","created_at":"2026-07-05T07:44:41.003182+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/YTE6KJPMQ3MFPWT253ISORPCCI","json":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI.json","graph_json":"https://pith.science/api/pith-number/YTE6KJPMQ3MFPWT253ISORPCCI/graph.json","events_json":"https://pith.science/api/pith-number/YTE6KJPMQ3MFPWT253ISORPCCI/events.json","paper":"https://pith.science/paper/YTE6KJPM"},"agent_actions":{"view_html":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI","download_json":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI.json","view_paper":"https://pith.science/paper/YTE6KJPM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.17505&json=true","fetch_graph":"https://pith.science/api/pith-number/YTE6KJPMQ3MFPWT253ISORPCCI/graph.json","fetch_events":"https://pith.science/api/pith-number/YTE6KJPMQ3MFPWT253ISORPCCI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI/action/storage_attestation","attest_author":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI/action/author_attestation","sign_citation":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI/action/citation_signature","submit_replication":"https://pith.science/pith/YTE6KJPMQ3MFPWT253ISORPCCI/action/replication_record"}},"created_at":"2026-07-05T07:44:41.003182+00:00","updated_at":"2026-07-05T07:44:41.003182+00:00"}