{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:7LMRLIZWQS4HV6TJZENGOMSXM2","short_pith_number":"pith:7LMRLIZW","canonical_record":{"source":{"id":"2101.00755","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-01-04T03:42:07Z","cross_cats_sorted":[],"title_canon_sha256":"a0a3b7d7812256a263e3be9112e158fdde15955baa607d0196f166b9d8514ab6","abstract_canon_sha256":"d2dbb44d68be7a60ab64c248cb66117d5be7f47bf3a42fb1cadcbc783d730daa"},"schema_version":"1.0"},"canonical_sha256":"fad915a33684b87afa69c91a67325766877c09b36b2d51ac0702f0883ad9bf7d","source":{"kind":"arxiv","id":"2101.00755","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.00755","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"arxiv_version","alias_value":"2101.00755v1","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.00755","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"pith_short_12","alias_value":"7LMRLIZWQS4H","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"pith_short_16","alias_value":"7LMRLIZWQS4HV6TJ","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"pith_short_8","alias_value":"7LMRLIZW","created_at":"2026-07-05T02:04:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:7LMRLIZWQS4HV6TJZENGOMSXM2","target":"record","payload":{"canonical_record":{"source":{"id":"2101.00755","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-01-04T03:42:07Z","cross_cats_sorted":[],"title_canon_sha256":"a0a3b7d7812256a263e3be9112e158fdde15955baa607d0196f166b9d8514ab6","abstract_canon_sha256":"d2dbb44d68be7a60ab64c248cb66117d5be7f47bf3a42fb1cadcbc783d730daa"},"schema_version":"1.0"},"canonical_sha256":"fad915a33684b87afa69c91a67325766877c09b36b2d51ac0702f0883ad9bf7d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:04:21.362495Z","signature_b64":"4YBqr0U0+W3QLHVH7/suU6m9aHOYsRp/h6hA5tmQv/aqsTljwlo+OJOa1jPiJTlpEeSxiZFpjik3BPuXwumKDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fad915a33684b87afa69c91a67325766877c09b36b2d51ac0702f0883ad9bf7d","last_reissued_at":"2026-07-05T02:04:21.362153Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:04:21.362153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.00755","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:04:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T6q2W7n/Lz5KfdZA5R/OOZUAECZsq+pFeEzVpASNAxZWGDmOZHI/98nrp7xtkWz9zS7gHPlTpY+KPl7dpj0/AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:48:21.885061Z"},"content_sha256":"42e2149b568af58233deebf01504d1afb9d3bfddfea8fa51bb7b028949ab894d","schema_version":"1.0","event_id":"sha256:42e2149b568af58233deebf01504d1afb9d3bfddfea8fa51bb7b028949ab894d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:7LMRLIZWQS4HV6TJZENGOMSXM2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Machine Learning for Robotic Manipulation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Quan Vuong","submitted_at":"2021-01-04T03:42:07Z","abstract_excerpt":"The past decade has witnessed the tremendous successes of machine learning techniques in the supervised learning paradigm, where there is a clear demarcation between training and testing. In the supervised learning paradigm, learning is inherently passive, seeking to distill human-provided supervision in large-scale datasets into high capacity models. Following these successes, machine learning researchers have looked beyond this paradigm and became interested in tasks that are more dynamic. To them, robotics serve as an excellent test-bed, for the challenges of robotics break many of the assu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.00755","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/2101.00755/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:04:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jLgpW9ur5Et/qpGTYptzYkgNpszyiCmG0sQxuqvF8OnHkT3Xe6//mfR9oqUI1uM3AGEGLvlKqbbl68M/ULfaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T20:48:21.885545Z"},"content_sha256":"867497f1c77344a645755d83225f1aa2681cee0abe68f9ac47a7dd4d0bd4df88","schema_version":"1.0","event_id":"sha256:867497f1c77344a645755d83225f1aa2681cee0abe68f9ac47a7dd4d0bd4df88"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7LMRLIZWQS4HV6TJZENGOMSXM2/bundle.json","state_url":"https://pith.science/pith/7LMRLIZWQS4HV6TJZENGOMSXM2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7LMRLIZWQS4HV6TJZENGOMSXM2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T20:48:21Z","links":{"resolver":"https://pith.science/pith/7LMRLIZWQS4HV6TJZENGOMSXM2","bundle":"https://pith.science/pith/7LMRLIZWQS4HV6TJZENGOMSXM2/bundle.json","state":"https://pith.science/pith/7LMRLIZWQS4HV6TJZENGOMSXM2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7LMRLIZWQS4HV6TJZENGOMSXM2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:7LMRLIZWQS4HV6TJZENGOMSXM2","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":"d2dbb44d68be7a60ab64c248cb66117d5be7f47bf3a42fb1cadcbc783d730daa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-01-04T03:42:07Z","title_canon_sha256":"a0a3b7d7812256a263e3be9112e158fdde15955baa607d0196f166b9d8514ab6"},"schema_version":"1.0","source":{"id":"2101.00755","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.00755","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"arxiv_version","alias_value":"2101.00755v1","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.00755","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"pith_short_12","alias_value":"7LMRLIZWQS4H","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"pith_short_16","alias_value":"7LMRLIZWQS4HV6TJ","created_at":"2026-07-05T02:04:21Z"},{"alias_kind":"pith_short_8","alias_value":"7LMRLIZW","created_at":"2026-07-05T02:04:21Z"}],"graph_snapshots":[{"event_id":"sha256:867497f1c77344a645755d83225f1aa2681cee0abe68f9ac47a7dd4d0bd4df88","target":"graph","created_at":"2026-07-05T02:04:21Z","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/2101.00755/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The past decade has witnessed the tremendous successes of machine learning techniques in the supervised learning paradigm, where there is a clear demarcation between training and testing. In the supervised learning paradigm, learning is inherently passive, seeking to distill human-provided supervision in large-scale datasets into high capacity models. Following these successes, machine learning researchers have looked beyond this paradigm and became interested in tasks that are more dynamic. To them, robotics serve as an excellent test-bed, for the challenges of robotics break many of the assu","authors_text":"Quan Vuong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-01-04T03:42:07Z","title":"Machine Learning for Robotic Manipulation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.00755","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":"sha256:42e2149b568af58233deebf01504d1afb9d3bfddfea8fa51bb7b028949ab894d","target":"record","created_at":"2026-07-05T02:04:21Z","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":"d2dbb44d68be7a60ab64c248cb66117d5be7f47bf3a42fb1cadcbc783d730daa","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2021-01-04T03:42:07Z","title_canon_sha256":"a0a3b7d7812256a263e3be9112e158fdde15955baa607d0196f166b9d8514ab6"},"schema_version":"1.0","source":{"id":"2101.00755","kind":"arxiv","version":1}},"canonical_sha256":"fad915a33684b87afa69c91a67325766877c09b36b2d51ac0702f0883ad9bf7d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fad915a33684b87afa69c91a67325766877c09b36b2d51ac0702f0883ad9bf7d","first_computed_at":"2026-07-05T02:04:21.362153Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:04:21.362153Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4YBqr0U0+W3QLHVH7/suU6m9aHOYsRp/h6hA5tmQv/aqsTljwlo+OJOa1jPiJTlpEeSxiZFpjik3BPuXwumKDg==","signature_status":"signed_v1","signed_at":"2026-07-05T02:04:21.362495Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.00755","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42e2149b568af58233deebf01504d1afb9d3bfddfea8fa51bb7b028949ab894d","sha256:867497f1c77344a645755d83225f1aa2681cee0abe68f9ac47a7dd4d0bd4df88"],"state_sha256":"480ade812a1451f9077e3faabcf97fa0bd31721aaee54ce2fa0c4074bfa15430"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"21Ipdds6c0MPeJiSO/ZpMQ3vABprI1RUQVfOkwiMsFHHmvjjd3OE/fyPWB6FRQmNACYt0iXkojzTlRkKkuEQDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T20:48:21.890673Z","bundle_sha256":"25193711436714656343c8d02fdcc65a4fe8408e7402a358b3eec8d56e2f5b96"}}