{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:NQ4XV6UMHDQXGYWFTVTNLHJC5S","short_pith_number":"pith:NQ4XV6UM","schema_version":"1.0","canonical_sha256":"6c397afa8c38e17362c59d66d59d22ecb9b1d5ce0473e55f66175cba934e09a2","source":{"kind":"arxiv","id":"2507.19535","version":1},"attestation_state":"computed","paper":{"title":"Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.EP","astro-ph.IM","cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Dario Izzo, Harry Holt, Sebastien Origer","submitted_at":"2025-07-22T07:43:38Z","abstract_excerpt":"Guidance & control networks (G&CNETs) provide a promising alternative to on-board guidance and control (G&C) architectures for spacecraft, offering a differentiable, end-to-end representation of the guidance and control architecture. When training G&CNETs, two predominant paradigms emerge: behavioural cloning (BC), which mimics optimal trajectories, and reinforcement learning (RL), which learns optimal behaviour through trials and errors. Although both approaches have been adopted in G&CNET related literature, direct comparisons are notably absent. To address this, we conduct a systematic eval"},"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":"2507.19535","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2025-07-22T07:43:38Z","cross_cats_sorted":["astro-ph.EP","astro-ph.IM","cs.LG","cs.SY"],"title_canon_sha256":"529e51563185e01a73ae6d6358f272ff65c4cde2f64807a4e342f0715b8e2938","abstract_canon_sha256":"ae97cac9c8fa6275286e2dc6c2eb37606791523be98d58a727dc848af6418648"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:43:36.009965Z","signature_b64":"WHl7dz9/ywP1FoYJOlE/MF+j//SJq8x3dT04UcZkkyepFgY0LVgkp0TF4xgYseC4UL1YzlmPnb5sbhlYcPXLAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c397afa8c38e17362c59d66d59d22ecb9b1d5ce0473e55f66175cba934e09a2","last_reissued_at":"2026-07-05T11:43:36.009547Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:43:36.009547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.EP","astro-ph.IM","cs.LG","cs.SY"],"primary_cat":"eess.SY","authors_text":"Dario Izzo, Harry Holt, Sebastien Origer","submitted_at":"2025-07-22T07:43:38Z","abstract_excerpt":"Guidance & control networks (G&CNETs) provide a promising alternative to on-board guidance and control (G&C) architectures for spacecraft, offering a differentiable, end-to-end representation of the guidance and control architecture. When training G&CNETs, two predominant paradigms emerge: behavioural cloning (BC), which mimics optimal trajectories, and reinforcement learning (RL), which learns optimal behaviour through trials and errors. Although both approaches have been adopted in G&CNET related literature, direct comparisons are notably absent. To address this, we conduct a systematic eval"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19535","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/2507.19535/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":"2507.19535","created_at":"2026-07-05T11:43:36.009605+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.19535v1","created_at":"2026-07-05T11:43:36.009605+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19535","created_at":"2026-07-05T11:43:36.009605+00:00"},{"alias_kind":"pith_short_12","alias_value":"NQ4XV6UMHDQX","created_at":"2026-07-05T11:43:36.009605+00:00"},{"alias_kind":"pith_short_16","alias_value":"NQ4XV6UMHDQXGYWF","created_at":"2026-07-05T11:43:36.009605+00:00"},{"alias_kind":"pith_short_8","alias_value":"NQ4XV6UM","created_at":"2026-07-05T11:43:36.009605+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/NQ4XV6UMHDQXGYWFTVTNLHJC5S","json":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S.json","graph_json":"https://pith.science/api/pith-number/NQ4XV6UMHDQXGYWFTVTNLHJC5S/graph.json","events_json":"https://pith.science/api/pith-number/NQ4XV6UMHDQXGYWFTVTNLHJC5S/events.json","paper":"https://pith.science/paper/NQ4XV6UM"},"agent_actions":{"view_html":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S","download_json":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S.json","view_paper":"https://pith.science/paper/NQ4XV6UM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.19535&json=true","fetch_graph":"https://pith.science/api/pith-number/NQ4XV6UMHDQXGYWFTVTNLHJC5S/graph.json","fetch_events":"https://pith.science/api/pith-number/NQ4XV6UMHDQXGYWFTVTNLHJC5S/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S/action/timestamp_anchor","attest_storage":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S/action/storage_attestation","attest_author":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S/action/author_attestation","sign_citation":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S/action/citation_signature","submit_replication":"https://pith.science/pith/NQ4XV6UMHDQXGYWFTVTNLHJC5S/action/replication_record"}},"created_at":"2026-07-05T11:43:36.009605+00:00","updated_at":"2026-07-05T11:43:36.009605+00:00"}