{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:2MEPBD4ZJJFLFN6R5DZQSJXIED","short_pith_number":"pith:2MEPBD4Z","schema_version":"1.0","canonical_sha256":"d308f08f994a4ab2b7d1e8f30926e820e9689043d861b6db4c4611d6bb8484dc","source":{"kind":"arxiv","id":"1602.00444","version":2},"attestation_state":"computed","paper":{"title":"Efficient simulations of tubulin-driven axonal growth","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.CB","authors_text":"Anders Heyden, Erik Henningsson, Stefan Diehl","submitted_at":"2016-02-01T09:41:22Z","abstract_excerpt":"This work concerns efficient and reliable numerical simulations of the dynamic behaviour of a moving-boundary model for tubulin-driven axonal growth. The model is nonlinear and consists of a coupled set of a partial differential equation (PDE) and two ordinary differential equations. The PDE is defined on a computational domain with a moving boundary, which is part of the solution. Numerical simulations based on standard explicit time-stepping methods are too time consuming due to the small time steps required for numerical stability. On the other hand standard implicit schemes are too complex"},"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":"1602.00444","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.CB","submitted_at":"2016-02-01T09:41:22Z","cross_cats_sorted":[],"title_canon_sha256":"c19afa94f910beabff0559bdf5443cc0ee680ec950071a4ec55ff15e35658c9e","abstract_canon_sha256":"70cf6e11946d41358d6d21fd9585fee8bc6f475a22538ad2b506181da3129121"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:07.260054Z","signature_b64":"8VBEFNyu9mJUOLuBNxWHnuBv0j3QMKa24rHpgjKSneGCh3Yp56eZuU5bPXucBfIP8ZhTYvYelhkyJQkT+UhnBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d308f08f994a4ab2b7d1e8f30926e820e9689043d861b6db4c4611d6bb8484dc","last_reissued_at":"2026-05-18T01:10:07.259466Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:07.259466Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Efficient simulations of tubulin-driven axonal growth","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-bio.CB","authors_text":"Anders Heyden, Erik Henningsson, Stefan Diehl","submitted_at":"2016-02-01T09:41:22Z","abstract_excerpt":"This work concerns efficient and reliable numerical simulations of the dynamic behaviour of a moving-boundary model for tubulin-driven axonal growth. The model is nonlinear and consists of a coupled set of a partial differential equation (PDE) and two ordinary differential equations. The PDE is defined on a computational domain with a moving boundary, which is part of the solution. Numerical simulations based on standard explicit time-stepping methods are too time consuming due to the small time steps required for numerical stability. On the other hand standard implicit schemes are too complex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00444","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":""},"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":"1602.00444","created_at":"2026-05-18T01:10:07.259551+00:00"},{"alias_kind":"arxiv_version","alias_value":"1602.00444v2","created_at":"2026-05-18T01:10:07.259551+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00444","created_at":"2026-05-18T01:10:07.259551+00:00"},{"alias_kind":"pith_short_12","alias_value":"2MEPBD4ZJJFL","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_16","alias_value":"2MEPBD4ZJJFLFN6R","created_at":"2026-05-18T12:29:55.572404+00:00"},{"alias_kind":"pith_short_8","alias_value":"2MEPBD4Z","created_at":"2026-05-18T12:29:55.572404+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/2MEPBD4ZJJFLFN6R5DZQSJXIED","json":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED.json","graph_json":"https://pith.science/api/pith-number/2MEPBD4ZJJFLFN6R5DZQSJXIED/graph.json","events_json":"https://pith.science/api/pith-number/2MEPBD4ZJJFLFN6R5DZQSJXIED/events.json","paper":"https://pith.science/paper/2MEPBD4Z"},"agent_actions":{"view_html":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED","download_json":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED.json","view_paper":"https://pith.science/paper/2MEPBD4Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1602.00444&json=true","fetch_graph":"https://pith.science/api/pith-number/2MEPBD4ZJJFLFN6R5DZQSJXIED/graph.json","fetch_events":"https://pith.science/api/pith-number/2MEPBD4ZJJFLFN6R5DZQSJXIED/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED/action/storage_attestation","attest_author":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED/action/author_attestation","sign_citation":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED/action/citation_signature","submit_replication":"https://pith.science/pith/2MEPBD4ZJJFLFN6R5DZQSJXIED/action/replication_record"}},"created_at":"2026-05-18T01:10:07.259551+00:00","updated_at":"2026-05-18T01:10:07.259551+00:00"}