{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:Y42U3F4IV366BLDZDK7DYFRIPD","short_pith_number":"pith:Y42U3F4I","schema_version":"1.0","canonical_sha256":"c7354d9788aefde0ac791abe3c162878ee391b92520ed6fb8e7dd32bcd66e3a7","source":{"kind":"arxiv","id":"1910.13249","version":1},"attestation_state":"computed","paper":{"title":"Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chris Pal, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Joseph P. Cohen, Margaux Luck, Martin Weiss, Roger Girgis, Samira E. Kahou, Simon Chamorro","submitted_at":"2019-10-29T13:23:02Z","abstract_excerpt":"Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level path-planning and white canes or guide dogs for local information. However, many BVI people still struggle to travel to new places. In our endeavor to create a navigation assistant for the BVI, we found that existing Reinforcement Learning (RL) environments were unsuitable for the task. This work introduces SEVN, a sidewalk simulation environment and a neural network-based approach to creating a navigation agent. SEVN contains panoramic images with labels for house numbe"},"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":"1910.13249","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-29T13:23:02Z","cross_cats_sorted":["cs.HC","cs.LG"],"title_canon_sha256":"86710f421f68a2a4b97b3877025b3b0cbf4dc1c469f2a391ef512c8a4fec5adc","abstract_canon_sha256":"a28a85195fe6905aecc314ce2da55dd44ba9cd646fccb6b6d77f2c4f1004e264"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:15:42.879500Z","signature_b64":"R1wlPjoM47DrP5OUg2tfmLdpNd1hcpLXy8JVVVj4R8HoO6dssfDfssP/Wu3CBvn9aOX3z8tEOxFrg6UXq4tRAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c7354d9788aefde0ac791abe3c162878ee391b92520ed6fb8e7dd32bcd66e3a7","last_reissued_at":"2026-07-05T00:15:42.879050Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:15:42.879050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chris Pal, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Joseph P. Cohen, Margaux Luck, Martin Weiss, Roger Girgis, Samira E. Kahou, Simon Chamorro","submitted_at":"2019-10-29T13:23:02Z","abstract_excerpt":"Millions of blind and visually-impaired (BVI) people navigate urban environments every day, using smartphones for high-level path-planning and white canes or guide dogs for local information. However, many BVI people still struggle to travel to new places. In our endeavor to create a navigation assistant for the BVI, we found that existing Reinforcement Learning (RL) environments were unsuitable for the task. This work introduces SEVN, a sidewalk simulation environment and a neural network-based approach to creating a navigation agent. SEVN contains panoramic images with labels for house numbe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.13249","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/1910.13249/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":"1910.13249","created_at":"2026-07-05T00:15:42.879118+00:00"},{"alias_kind":"arxiv_version","alias_value":"1910.13249v1","created_at":"2026-07-05T00:15:42.879118+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.13249","created_at":"2026-07-05T00:15:42.879118+00:00"},{"alias_kind":"pith_short_12","alias_value":"Y42U3F4IV366","created_at":"2026-07-05T00:15:42.879118+00:00"},{"alias_kind":"pith_short_16","alias_value":"Y42U3F4IV366BLDZ","created_at":"2026-07-05T00:15:42.879118+00:00"},{"alias_kind":"pith_short_8","alias_value":"Y42U3F4I","created_at":"2026-07-05T00:15:42.879118+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/Y42U3F4IV366BLDZDK7DYFRIPD","json":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD.json","graph_json":"https://pith.science/api/pith-number/Y42U3F4IV366BLDZDK7DYFRIPD/graph.json","events_json":"https://pith.science/api/pith-number/Y42U3F4IV366BLDZDK7DYFRIPD/events.json","paper":"https://pith.science/paper/Y42U3F4I"},"agent_actions":{"view_html":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD","download_json":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD.json","view_paper":"https://pith.science/paper/Y42U3F4I","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1910.13249&json=true","fetch_graph":"https://pith.science/api/pith-number/Y42U3F4IV366BLDZDK7DYFRIPD/graph.json","fetch_events":"https://pith.science/api/pith-number/Y42U3F4IV366BLDZDK7DYFRIPD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD/action/storage_attestation","attest_author":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD/action/author_attestation","sign_citation":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD/action/citation_signature","submit_replication":"https://pith.science/pith/Y42U3F4IV366BLDZDK7DYFRIPD/action/replication_record"}},"created_at":"2026-07-05T00:15:42.879118+00:00","updated_at":"2026-07-05T00:15:42.879118+00:00"}