{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:YT3SB6CF3UNFLSM33ZFTWY5J67","short_pith_number":"pith:YT3SB6CF","schema_version":"1.0","canonical_sha256":"c4f720f845dd1a55c99bde4b3b63a9f7ebf6b4f3a3b246b2a89b49d30364dcc9","source":{"kind":"arxiv","id":"1805.05086","version":2},"attestation_state":"computed","paper":{"title":"Unsupervised Intuitive Physics from Visual Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Andrea Vedaldi, Aron Monszpart, Niloy Mitra, Sebastien Ehrhardt","submitted_at":"2018-05-14T09:41:23Z","abstract_excerpt":"While learning models of intuitive physics is an increasingly active area of research, current approaches still fall short of natural intelligences in one important regard: they require external supervision, such as explicit access to physical states, at training and sometimes even at test times. Some authors have relaxed such requirements by supplementing the model with an handcrafted physical simulator. Still, the resulting methods are unable to automatically learn new complex environments and to understand physical interactions within them. In this work, we demonstrated for the first time l"},"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":"1805.05086","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-14T09:41:23Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"51258c1c1b4d251b8f67979a8036f7972f5d3a184f4269f5238aac5cb98241a0","abstract_canon_sha256":"c0965b300454dabb22f9d722052607af0a4457b0831043a018f0fd59454f5e66"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:57.287126Z","signature_b64":"GWxGZnwczvBMkwLdhLnt5V+rBwaoaSGj9hFaZ0wjulVtYEin7AYmGvgCn7q/S+Y2XASAGBEJP/lgeCAkCPrYBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c4f720f845dd1a55c99bde4b3b63a9f7ebf6b4f3a3b246b2a89b49d30364dcc9","last_reissued_at":"2026-05-17T23:49:57.286399Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:57.286399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Unsupervised Intuitive Physics from Visual Observations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Andrea Vedaldi, Aron Monszpart, Niloy Mitra, Sebastien Ehrhardt","submitted_at":"2018-05-14T09:41:23Z","abstract_excerpt":"While learning models of intuitive physics is an increasingly active area of research, current approaches still fall short of natural intelligences in one important regard: they require external supervision, such as explicit access to physical states, at training and sometimes even at test times. Some authors have relaxed such requirements by supplementing the model with an handcrafted physical simulator. Still, the resulting methods are unable to automatically learn new complex environments and to understand physical interactions within them. In this work, we demonstrated for the first time l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.05086","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":""},"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":"1805.05086","created_at":"2026-05-17T23:49:57.286507+00:00"},{"alias_kind":"arxiv_version","alias_value":"1805.05086v2","created_at":"2026-05-17T23:49:57.286507+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.05086","created_at":"2026-05-17T23:49:57.286507+00:00"},{"alias_kind":"pith_short_12","alias_value":"YT3SB6CF3UNF","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_16","alias_value":"YT3SB6CF3UNFLSM3","created_at":"2026-05-18T12:33:04.347982+00:00"},{"alias_kind":"pith_short_8","alias_value":"YT3SB6CF","created_at":"2026-05-18T12:33:04.347982+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/YT3SB6CF3UNFLSM33ZFTWY5J67","json":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67.json","graph_json":"https://pith.science/api/pith-number/YT3SB6CF3UNFLSM33ZFTWY5J67/graph.json","events_json":"https://pith.science/api/pith-number/YT3SB6CF3UNFLSM33ZFTWY5J67/events.json","paper":"https://pith.science/paper/YT3SB6CF"},"agent_actions":{"view_html":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67","download_json":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67.json","view_paper":"https://pith.science/paper/YT3SB6CF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1805.05086&json=true","fetch_graph":"https://pith.science/api/pith-number/YT3SB6CF3UNFLSM33ZFTWY5J67/graph.json","fetch_events":"https://pith.science/api/pith-number/YT3SB6CF3UNFLSM33ZFTWY5J67/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67/action/storage_attestation","attest_author":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67/action/author_attestation","sign_citation":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67/action/citation_signature","submit_replication":"https://pith.science/pith/YT3SB6CF3UNFLSM33ZFTWY5J67/action/replication_record"}},"created_at":"2026-05-17T23:49:57.286507+00:00","updated_at":"2026-05-17T23:49:57.286507+00:00"}