{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:HOBGPCFHYCSNDSC5VG7RTU77ZH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"228eacb69b6a2f8cda6765f4ccad0b8153806a80c15032fb671d0159541e18a9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-01-12T00:56:30Z","title_canon_sha256":"e78c2788baeebfe809faccb9ef4187228d8040f49667ff19ea9b7d6c61b48858"},"schema_version":"1.0","source":{"id":"1601.02705","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1601.02705","created_at":"2026-05-18T01:22:59Z"},{"alias_kind":"arxiv_version","alias_value":"1601.02705v1","created_at":"2026-05-18T01:22:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.02705","created_at":"2026-05-18T01:22:59Z"},{"alias_kind":"pith_short_12","alias_value":"HOBGPCFHYCSN","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"HOBGPCFHYCSNDSC5","created_at":"2026-05-18T12:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"HOBGPCFH","created_at":"2026-05-18T12:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:07d1f86a66991ff72cc06868a1c4d084c1835e6581cddd1f4e00570539c9f0e1","target":"graph","created_at":"2026-05-18T01:22:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"There is a large variety of objects and appliances in human environments, such as stoves, coffee dispensers, juice extractors, and so on. It is challenging for a roboticist to program a robot for each of these object types and for each of their instantiations. In this work, we present a novel approach to manipulation planning based on the idea that many household objects share similarly-operated object parts. We formulate the manipulation planning as a structured prediction problem and learn to transfer manipulation strategy across different objects by embedding point-cloud, natural language, ","authors_text":"Ashutosh Saxena, Ian Lenz, Jaeyong Sung, Seok Hyun Jin","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-01-12T00:56:30Z","title":"Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.02705","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2e7afc127a4621b7e7bba43b7bf32301dbffc250eb7a4d22b1dcc46d87fd46f7","target":"record","created_at":"2026-05-18T01:22:59Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"228eacb69b6a2f8cda6765f4ccad0b8153806a80c15032fb671d0159541e18a9","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2016-01-12T00:56:30Z","title_canon_sha256":"e78c2788baeebfe809faccb9ef4187228d8040f49667ff19ea9b7d6c61b48858"},"schema_version":"1.0","source":{"id":"1601.02705","kind":"arxiv","version":1}},"canonical_sha256":"3b826788a7c0a4d1c85da9bf19d3ffc9f8a09ef6a4ba87820344b169654519fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3b826788a7c0a4d1c85da9bf19d3ffc9f8a09ef6a4ba87820344b169654519fc","first_computed_at":"2026-05-18T01:22:59.924323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:22:59.924323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"03CcOt3UBzSknEAh9D+g7p+JMRwQ+jLpbeajGBGS6dOrqNP5Cf1Sy5SCFNRtGbEHsXqJLYqqPc4M2oBn3WX0Ag==","signature_status":"signed_v1","signed_at":"2026-05-18T01:22:59.924769Z","signed_message":"canonical_sha256_bytes"},"source_id":"1601.02705","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e7afc127a4621b7e7bba43b7bf32301dbffc250eb7a4d22b1dcc46d87fd46f7","sha256:07d1f86a66991ff72cc06868a1c4d084c1835e6581cddd1f4e00570539c9f0e1"],"state_sha256":"4576bd7fd974c58ef9a6d3983448ae7159f709b017989ed44004b148d833e155"}