{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3RCRDNWJ7HR2ZJJYT5UKL2PBGL","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":"1669e0a65e128e2ad9d168be77e756c40c1a05ba039ea849140298217cd3f15f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-11-13T08:53:47Z","title_canon_sha256":"7d780e0021598beba836783dd910a39caca53e053a7c3c82512acec006ee9700"},"schema_version":"1.0","source":{"id":"2011.06813","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.06813","created_at":"2026-07-05T01:51:25Z"},{"alias_kind":"arxiv_version","alias_value":"2011.06813v1","created_at":"2026-07-05T01:51:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.06813","created_at":"2026-07-05T01:51:25Z"},{"alias_kind":"pith_short_12","alias_value":"3RCRDNWJ7HR2","created_at":"2026-07-05T01:51:25Z"},{"alias_kind":"pith_short_16","alias_value":"3RCRDNWJ7HR2ZJJY","created_at":"2026-07-05T01:51:25Z"},{"alias_kind":"pith_short_8","alias_value":"3RCRDNWJ","created_at":"2026-07-05T01:51:25Z"}],"graph_snapshots":[{"event_id":"sha256:d31cb6f3aca862dcd12d6a7dd42dd24b928e22381a548c57609d15633ec439f2","target":"graph","created_at":"2026-07-05T01:51:25Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2011.06813/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humans are adept at learning new tasks by watching a few instructional videos. On the other hand, robots that learn new actions either require a lot of effort through trial and error, or use expert demonstrations that are challenging to obtain. In this paper, we explore a method that facilitates learning object manipulation skills directly from videos. Leveraging recent advances in 2D visual recognition and differentiable rendering, we develop an optimization based method to estimate a coarse 3D state representation for the hand and the manipulated object(s) without requiring any supervision. ","authors_text":"Ivan Laptev, Josef Sivic, Makarand Tapaswi, Vladim\\'ir Petr\\'ik","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-11-13T08:53:47Z","title":"Learning Object Manipulation Skills via Approximate State Estimation from Real Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.06813","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":"sha256:5e3961d19a07d5bf3ba21bddbf01cd1dfbb8a4901c6ed16da2caa8313199080e","target":"record","created_at":"2026-07-05T01:51:25Z","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":"1669e0a65e128e2ad9d168be77e756c40c1a05ba039ea849140298217cd3f15f","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2020-11-13T08:53:47Z","title_canon_sha256":"7d780e0021598beba836783dd910a39caca53e053a7c3c82512acec006ee9700"},"schema_version":"1.0","source":{"id":"2011.06813","kind":"arxiv","version":1}},"canonical_sha256":"dc4511b6c9f9e3aca5389f68a5e9e132fc232ebacfc1c7a8e877c5326362fba5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc4511b6c9f9e3aca5389f68a5e9e132fc232ebacfc1c7a8e877c5326362fba5","first_computed_at":"2026-07-05T01:51:25.257693Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:51:25.257693Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f5PgoSzbnxJPEFgL5ZDDfvXs4fJ3DT0r9QacANvLBF/cU10rGc78VUwzJ0ShwlH9EbLwNipTpcJzB3tyGNhFBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:51:25.258027Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.06813","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e3961d19a07d5bf3ba21bddbf01cd1dfbb8a4901c6ed16da2caa8313199080e","sha256:d31cb6f3aca862dcd12d6a7dd42dd24b928e22381a548c57609d15633ec439f2"],"state_sha256":"39f1fe2c7fd4607b23aee9a57a2b7ec2309de888835e4e970f0b05ac67d21bcb"}