{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:IDHMIPAZIT6EC2JJLBRLL62VUJ","short_pith_number":"pith:IDHMIPAZ","schema_version":"1.0","canonical_sha256":"40cec43c1944fc4169295862b5fb55a2573b96e8351a5ceb607bc5a7c2b50d14","source":{"kind":"arxiv","id":"2505.11042","version":2},"attestation_state":"computed","paper":{"title":"Delayed Active Swimmer in a Velocity Landscape","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"cond-mat.soft","authors_text":"Alexander Fischer, Frank Cichos, Giovanni Volpe, Viktor Holubec","submitted_at":"2025-05-16T09:36:48Z","abstract_excerpt":"Self-propelled active particles exhibit delayed responses to environmental changes, modulating their propulsion speed through intrinsic sensing and feedback mechanisms. This adaptive behavior fundamentally determines their dynamics and self-organization in active matter systems, with implications for biological microswimmers and engineered microrobots. Here, we investigate active Brownian particles whose propulsion speed is governed by spatially varying activity landscapes, incorporating a temporal delay between environmental sensing and speed adaptation. Through analytical solutions derived f"},"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":"2505.11042","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cond-mat.soft","submitted_at":"2025-05-16T09:36:48Z","cross_cats_sorted":["cond-mat.stat-mech"],"title_canon_sha256":"b1d799fabb77db24f2e89725bc147c66b8ba628649d12439be330ecb62542a7c","abstract_canon_sha256":"4af6fba9fbb45366000cc2be6366e6163fb94c171782f5a91fbfa5cbb2e4cba3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:06.633369Z","signature_b64":"xK/YnSyZLLp1a8nXcpV42VCtqPz//HCKvhGgd6C4UWQ3N2LfqP1JCaQrQkKXpqMouA8UnHSZY613ku38omu2Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"40cec43c1944fc4169295862b5fb55a2573b96e8351a5ceb607bc5a7c2b50d14","last_reissued_at":"2026-06-09T01:05:06.632902Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:06.632902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Delayed Active Swimmer in a Velocity Landscape","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cond-mat.stat-mech"],"primary_cat":"cond-mat.soft","authors_text":"Alexander Fischer, Frank Cichos, Giovanni Volpe, Viktor Holubec","submitted_at":"2025-05-16T09:36:48Z","abstract_excerpt":"Self-propelled active particles exhibit delayed responses to environmental changes, modulating their propulsion speed through intrinsic sensing and feedback mechanisms. This adaptive behavior fundamentally determines their dynamics and self-organization in active matter systems, with implications for biological microswimmers and engineered microrobots. Here, we investigate active Brownian particles whose propulsion speed is governed by spatially varying activity landscapes, incorporating a temporal delay between environmental sensing and speed adaptation. Through analytical solutions derived f"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11042","kind":"arxiv","version":2},"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/2505.11042/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":"2505.11042","created_at":"2026-06-09T01:05:06.632957+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.11042v2","created_at":"2026-06-09T01:05:06.632957+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11042","created_at":"2026-06-09T01:05:06.632957+00:00"},{"alias_kind":"pith_short_12","alias_value":"IDHMIPAZIT6E","created_at":"2026-06-09T01:05:06.632957+00:00"},{"alias_kind":"pith_short_16","alias_value":"IDHMIPAZIT6EC2JJ","created_at":"2026-06-09T01:05:06.632957+00:00"},{"alias_kind":"pith_short_8","alias_value":"IDHMIPAZ","created_at":"2026-06-09T01:05:06.632957+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2507.08910","citing_title":"Gigantic dynamical spreading and anomalous diffusion of jerky active particles","ref_index":80,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ","json":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ.json","graph_json":"https://pith.science/api/pith-number/IDHMIPAZIT6EC2JJLBRLL62VUJ/graph.json","events_json":"https://pith.science/api/pith-number/IDHMIPAZIT6EC2JJLBRLL62VUJ/events.json","paper":"https://pith.science/paper/IDHMIPAZ"},"agent_actions":{"view_html":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ","download_json":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ.json","view_paper":"https://pith.science/paper/IDHMIPAZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.11042&json=true","fetch_graph":"https://pith.science/api/pith-number/IDHMIPAZIT6EC2JJLBRLL62VUJ/graph.json","fetch_events":"https://pith.science/api/pith-number/IDHMIPAZIT6EC2JJLBRLL62VUJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ/action/storage_attestation","attest_author":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ/action/author_attestation","sign_citation":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ/action/citation_signature","submit_replication":"https://pith.science/pith/IDHMIPAZIT6EC2JJLBRLL62VUJ/action/replication_record"}},"created_at":"2026-06-09T01:05:06.632957+00:00","updated_at":"2026-06-09T01:05:06.632957+00:00"}