{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:XZ4IVFI53L7I3KTPYWSQ46I5OQ","short_pith_number":"pith:XZ4IVFI5","schema_version":"1.0","canonical_sha256":"be788a951ddafe8daa6fc5a50e791d7426c735c1ef991275470a1f54c0ab212b","source":{"kind":"arxiv","id":"2507.13672","version":1},"attestation_state":"computed","paper":{"title":"Spacecraft Safe Robust Control Using Implicit Neural Representation for Geometrically Complex Targets in Proximity Operations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Chengrui Shi, Hang Zhou, Jiakun Lei, Kun Wang, Renhao Mao, Tao Meng, Weijia Wang","submitted_at":"2025-07-18T05:49:55Z","abstract_excerpt":"This study addresses the challenge of ensuring safe spacecraft proximity operations, focusing on collision avoidance between a chaser spacecraft and a complex-geometry target spacecraft under disturbances. To ensure safety in such scenarios, a safe robust control framework is proposed that leverages implicit neural representations. To handle arbitrary target geometries without explicit modeling, a neural signed distance function (SDF) is learned from point cloud data via a enhanced implicit geometric regularization method, which incorporates an over-apporximation strategy to create a conservat"},"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":"2507.13672","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2025-07-18T05:49:55Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"abf1d44551f9efb9ad1ac202797bcff359eda13ef114cc84b00d4f39f4605259","abstract_canon_sha256":"7c00f5aa8b48f072c76f4ce389f1c35074ee45eed6aeb47baee4c93c862e53aa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:39:21.037141Z","signature_b64":"A+b/8ax1MqIsh8We763m4CG4hUEByweMBviX8sswLdlb+3drZq7SG1A7C0A77ZEfHGpgNg/XbeyPCA5eVp4ICA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be788a951ddafe8daa6fc5a50e791d7426c735c1ef991275470a1f54c0ab212b","last_reissued_at":"2026-07-05T11:39:21.036700Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:39:21.036700Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Spacecraft Safe Robust Control Using Implicit Neural Representation for Geometrically Complex Targets in Proximity Operations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Chengrui Shi, Hang Zhou, Jiakun Lei, Kun Wang, Renhao Mao, Tao Meng, Weijia Wang","submitted_at":"2025-07-18T05:49:55Z","abstract_excerpt":"This study addresses the challenge of ensuring safe spacecraft proximity operations, focusing on collision avoidance between a chaser spacecraft and a complex-geometry target spacecraft under disturbances. To ensure safety in such scenarios, a safe robust control framework is proposed that leverages implicit neural representations. To handle arbitrary target geometries without explicit modeling, a neural signed distance function (SDF) is learned from point cloud data via a enhanced implicit geometric regularization method, which incorporates an over-apporximation strategy to create a conservat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.13672","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/2507.13672/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":"2507.13672","created_at":"2026-07-05T11:39:21.036757+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.13672v1","created_at":"2026-07-05T11:39:21.036757+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.13672","created_at":"2026-07-05T11:39:21.036757+00:00"},{"alias_kind":"pith_short_12","alias_value":"XZ4IVFI53L7I","created_at":"2026-07-05T11:39:21.036757+00:00"},{"alias_kind":"pith_short_16","alias_value":"XZ4IVFI53L7I3KTP","created_at":"2026-07-05T11:39:21.036757+00:00"},{"alias_kind":"pith_short_8","alias_value":"XZ4IVFI5","created_at":"2026-07-05T11:39:21.036757+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/XZ4IVFI53L7I3KTPYWSQ46I5OQ","json":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ.json","graph_json":"https://pith.science/api/pith-number/XZ4IVFI53L7I3KTPYWSQ46I5OQ/graph.json","events_json":"https://pith.science/api/pith-number/XZ4IVFI53L7I3KTPYWSQ46I5OQ/events.json","paper":"https://pith.science/paper/XZ4IVFI5"},"agent_actions":{"view_html":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ","download_json":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ.json","view_paper":"https://pith.science/paper/XZ4IVFI5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.13672&json=true","fetch_graph":"https://pith.science/api/pith-number/XZ4IVFI53L7I3KTPYWSQ46I5OQ/graph.json","fetch_events":"https://pith.science/api/pith-number/XZ4IVFI53L7I3KTPYWSQ46I5OQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ/action/storage_attestation","attest_author":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ/action/author_attestation","sign_citation":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ/action/citation_signature","submit_replication":"https://pith.science/pith/XZ4IVFI53L7I3KTPYWSQ46I5OQ/action/replication_record"}},"created_at":"2026-07-05T11:39:21.036757+00:00","updated_at":"2026-07-05T11:39:21.036757+00:00"}