{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:LPIO3FXEAEEG6ZXZIJQLBU33CY","short_pith_number":"pith:LPIO3FXE","schema_version":"1.0","canonical_sha256":"5bd0ed96e401086f66f94260b0d37b161134ad95e1069e802ebb76ab443e1dd7","source":{"kind":"arxiv","id":"1805.07952","version":1},"attestation_state":"computed","paper":{"title":"A new dataset and model for learning to understand navigational instructions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Deniz Yuret, Ozan Arkan Can","submitted_at":"2018-05-21T09:01:31Z","abstract_excerpt":"In this paper, we present a state-of-the-art model and introduce a new dataset for grounded language learning. Our goal is to develop a model that can learn to follow new instructions given prior instruction-perception-action examples. We based our work on the SAIL dataset which consists of navigational instructions and actions in a maze-like environment. The new model we propose achieves the best results to date on the SAIL dataset by using an improved perceptual component that can represent relative positions of objects. We also analyze the problems with the SAIL dataset regarding its size a"},"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":"1805.07952","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-05-21T09:01:31Z","cross_cats_sorted":[],"title_canon_sha256":"9f728638402062dd27653671681cf9e90deb05482b6e4b24d92b720b8053f9a9","abstract_canon_sha256":"f86b25efa84d226010c9f8f7acf96f18cfeb81ae20774c909d6b7e90be4a22a5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:15:32.042820Z","signature_b64":"GbHhotbqUymkCHC9BzPFpaaW2UbY54GEm7H6VszvdCt95DQFNUNAV3RvwodoXNZtIc3P4caMI30sxJ+ofeIfAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5bd0ed96e401086f66f94260b0d37b161134ad95e1069e802ebb76ab443e1dd7","last_reissued_at":"2026-05-18T00:15:32.041902Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:15:32.041902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A new dataset and model for learning to understand navigational instructions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Deniz Yuret, Ozan Arkan Can","submitted_at":"2018-05-21T09:01:31Z","abstract_excerpt":"In this paper, we present a state-of-the-art model and introduce a new dataset for grounded language learning. Our goal is to develop a model that can learn to follow new instructions given prior instruction-perception-action examples. We based our work on the SAIL dataset which consists of navigational instructions and actions in a maze-like environment. The new model we propose achieves the best results to date on the SAIL dataset by using an improved perceptual component that can represent relative positions of objects. We also analyze the problems with the SAIL dataset regarding its size a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.07952","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":""},"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":"1805.07952","created_at":"2026-05-18T00:15:32.042036+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.07952v1","created_at":"2026-05-18T00:15:32.042036+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.07952","created_at":"2026-05-18T00:15:32.042036+00:00"},{"alias_kind":"pith_short_12","alias_value":"LPIO3FXEAEEG","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_16","alias_value":"LPIO3FXEAEEG6ZXZ","created_at":"2026-05-18T12:32:37.024351+00:00"},{"alias_kind":"pith_short_8","alias_value":"LPIO3FXE","created_at":"2026-05-18T12:32:37.024351+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/LPIO3FXEAEEG6ZXZIJQLBU33CY","json":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY.json","graph_json":"https://pith.science/api/pith-number/LPIO3FXEAEEG6ZXZIJQLBU33CY/graph.json","events_json":"https://pith.science/api/pith-number/LPIO3FXEAEEG6ZXZIJQLBU33CY/events.json","paper":"https://pith.science/paper/LPIO3FXE"},"agent_actions":{"view_html":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY","download_json":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY.json","view_paper":"https://pith.science/paper/LPIO3FXE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.07952&json=true","fetch_graph":"https://pith.science/api/pith-number/LPIO3FXEAEEG6ZXZIJQLBU33CY/graph.json","fetch_events":"https://pith.science/api/pith-number/LPIO3FXEAEEG6ZXZIJQLBU33CY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY/action/storage_attestation","attest_author":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY/action/author_attestation","sign_citation":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY/action/citation_signature","submit_replication":"https://pith.science/pith/LPIO3FXEAEEG6ZXZIJQLBU33CY/action/replication_record"}},"created_at":"2026-05-18T00:15:32.042036+00:00","updated_at":"2026-05-18T00:15:32.042036+00:00"}