{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:MBW7Q5UB2IYNVU4RKC3KZATH3V","short_pith_number":"pith:MBW7Q5UB","schema_version":"1.0","canonical_sha256":"606df87681d230dad39150b6ac8267dd40277e38887a68494bdf1b7f2d6b69f4","source":{"kind":"arxiv","id":"2304.13242","version":2},"attestation_state":"computed","paper":{"title":"Learning to Predict Navigational Patterns from Partial Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Alexander Carballo, Francisco Lepe-Salazar, Kazuya Takeda, Keisuke Fujii, Kento Ohtani, Robin Karlsson","submitted_at":"2023-04-26T02:08:46Z","abstract_excerpt":"Human beings cooperatively navigate rule-constrained environments by adhering to mutually known navigational patterns, which may be represented as directional pathways or road lanes. Inferring these navigational patterns from incompletely observed environments is required for intelligent mobile robots operating in unmapped locations. However, algorithmically defining these navigational patterns is nontrivial. This paper presents the first self-supervised learning (SSL) method for learning to infer navigational patterns in real-world environments from partial observations only. We explain how g"},"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":"2304.13242","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-26T02:08:46Z","cross_cats_sorted":["cs.LG","cs.RO"],"title_canon_sha256":"98ef9620e7a9d93db435d0e0a414e01df031e7922fe17be752c381d758d33031","abstract_canon_sha256":"6b4a924ebe677b9ca5a1e2cda5ffd54472d7efc21e044dc2476299dfb5ba1b2c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:28:17.915536Z","signature_b64":"jarLybyuWhlcZAcFgAN8lGKNP7IXXXAVejUhlUdPp2M5vWt76LijXlUqlkJX72ZN0J7kFaizx15/s+Ihl6E9Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"606df87681d230dad39150b6ac8267dd40277e38887a68494bdf1b7f2d6b69f4","last_reissued_at":"2026-07-05T06:28:17.915112Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:28:17.915112Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning to Predict Navigational Patterns from Partial Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Alexander Carballo, Francisco Lepe-Salazar, Kazuya Takeda, Keisuke Fujii, Kento Ohtani, Robin Karlsson","submitted_at":"2023-04-26T02:08:46Z","abstract_excerpt":"Human beings cooperatively navigate rule-constrained environments by adhering to mutually known navigational patterns, which may be represented as directional pathways or road lanes. Inferring these navigational patterns from incompletely observed environments is required for intelligent mobile robots operating in unmapped locations. However, algorithmically defining these navigational patterns is nontrivial. This paper presents the first self-supervised learning (SSL) method for learning to infer navigational patterns in real-world environments from partial observations only. We explain how g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13242","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/2304.13242/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":"2304.13242","created_at":"2026-07-05T06:28:17.915164+00:00"},{"alias_kind":"arxiv_version","alias_value":"2304.13242v2","created_at":"2026-07-05T06:28:17.915164+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13242","created_at":"2026-07-05T06:28:17.915164+00:00"},{"alias_kind":"pith_short_12","alias_value":"MBW7Q5UB2IYN","created_at":"2026-07-05T06:28:17.915164+00:00"},{"alias_kind":"pith_short_16","alias_value":"MBW7Q5UB2IYNVU4R","created_at":"2026-07-05T06:28:17.915164+00:00"},{"alias_kind":"pith_short_8","alias_value":"MBW7Q5UB","created_at":"2026-07-05T06:28:17.915164+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/MBW7Q5UB2IYNVU4RKC3KZATH3V","json":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V.json","graph_json":"https://pith.science/api/pith-number/MBW7Q5UB2IYNVU4RKC3KZATH3V/graph.json","events_json":"https://pith.science/api/pith-number/MBW7Q5UB2IYNVU4RKC3KZATH3V/events.json","paper":"https://pith.science/paper/MBW7Q5UB"},"agent_actions":{"view_html":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V","download_json":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V.json","view_paper":"https://pith.science/paper/MBW7Q5UB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2304.13242&json=true","fetch_graph":"https://pith.science/api/pith-number/MBW7Q5UB2IYNVU4RKC3KZATH3V/graph.json","fetch_events":"https://pith.science/api/pith-number/MBW7Q5UB2IYNVU4RKC3KZATH3V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V/action/storage_attestation","attest_author":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V/action/author_attestation","sign_citation":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V/action/citation_signature","submit_replication":"https://pith.science/pith/MBW7Q5UB2IYNVU4RKC3KZATH3V/action/replication_record"}},"created_at":"2026-07-05T06:28:17.915164+00:00","updated_at":"2026-07-05T06:28:17.915164+00:00"}