{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FQJBURL7NJFW7KFZ5SLLHOU6JO","short_pith_number":"pith:FQJBURL7","canonical_record":{"source":{"id":"2407.19681","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-07-29T03:53:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b8cd4dae8e9eca2cf8288c03e57cdf48d545aac0faa08f3cbb9f8b97785858bc","abstract_canon_sha256":"f58a40740cd28237816b5073dcad2d5dd3230ba197d2a22caee4b8bd35242e6a"},"schema_version":"1.0"},"canonical_sha256":"2c121a457f6a4b6fa8b9ec96b3ba9e4b83bb858d95111885591ec96c0be9d172","source":{"kind":"arxiv","id":"2407.19681","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19681","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19681v3","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19681","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"pith_short_12","alias_value":"FQJBURL7NJFW","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"pith_short_16","alias_value":"FQJBURL7NJFW7KFZ","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"pith_short_8","alias_value":"FQJBURL7","created_at":"2026-07-05T09:58:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FQJBURL7NJFW7KFZ5SLLHOU6JO","target":"record","payload":{"canonical_record":{"source":{"id":"2407.19681","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-07-29T03:53:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b8cd4dae8e9eca2cf8288c03e57cdf48d545aac0faa08f3cbb9f8b97785858bc","abstract_canon_sha256":"f58a40740cd28237816b5073dcad2d5dd3230ba197d2a22caee4b8bd35242e6a"},"schema_version":"1.0"},"canonical_sha256":"2c121a457f6a4b6fa8b9ec96b3ba9e4b83bb858d95111885591ec96c0be9d172","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:58:23.410173Z","signature_b64":"YU6JvzbLpgCeGZjDIx9miPxkUZ5Qb/3LEVAalQoIbgg9nsf/RH8lnYUKP1xzOpvpul3jr+1gs3nU41JrGZqjDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2c121a457f6a4b6fa8b9ec96b3ba9e4b83bb858d95111885591ec96c0be9d172","last_reissued_at":"2026-07-05T09:58:23.409746Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:58:23.409746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.19681","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:58:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J32FAPZCx+1lkngWWtuUozNilBLPgFBgOHeP7m8ogtSX5DvF1crDICnNPeJyjrU/vGypXpTJkpEshDDqbcRNAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T23:53:03.715014Z"},"content_sha256":"81dbae4c8d347992a86601b7aa487b31d2fabcf524c63ad53cf099f7fd587492","schema_version":"1.0","event_id":"sha256:81dbae4c8d347992a86601b7aa487b31d2fabcf524c63ad53cf099f7fd587492"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FQJBURL7NJFW7KFZ5SLLHOU6JO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.RO","authors_text":"Byeongho Lee, Frank C. Park, Seungyeon Kim, Yonghyeon Lee","submitted_at":"2024-07-29T03:53:14Z","abstract_excerpt":"Effective movement primitives should be capable of encoding and generating a rich repertoire of trajectories -- typically collected from human demonstrations -- conditioned on task-defining parameters such as vision or language inputs. While recent methods based on the motion manifold hypothesis, which assumes that a set of trajectories lies on a lower-dimensional nonlinear subspace, address challenges such as limited dataset size and the high dimensionality of trajectory data, they often struggle to capture complex task-motion dependencies, i.e., when motion distributions shift drastically wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19681","kind":"arxiv","version":3},"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/2407.19681/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":"2026-07-05T09:58:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWB87VTp6nV96Joecojrm7AXp6Y3clEArndKgLhIn7RzLEbdWnrtFExzmx4x45UIlbmigXSCAc9F2DaH05aJAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T23:53:03.715625Z"},"content_sha256":"3edb64bba1b4b35f19355d741777d8a6c940b09092c9715e1844bb298438d602","schema_version":"1.0","event_id":"sha256:3edb64bba1b4b35f19355d741777d8a6c940b09092c9715e1844bb298438d602"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO/bundle.json","state_url":"https://pith.science/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO/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":"2026-08-06T23:53:03Z","links":{"resolver":"https://pith.science/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO","bundle":"https://pith.science/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO/bundle.json","state":"https://pith.science/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FQJBURL7NJFW7KFZ5SLLHOU6JO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FQJBURL7NJFW7KFZ5SLLHOU6JO","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":"f58a40740cd28237816b5073dcad2d5dd3230ba197d2a22caee4b8bd35242e6a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-07-29T03:53:14Z","title_canon_sha256":"b8cd4dae8e9eca2cf8288c03e57cdf48d545aac0faa08f3cbb9f8b97785858bc"},"schema_version":"1.0","source":{"id":"2407.19681","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.19681","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"arxiv_version","alias_value":"2407.19681v3","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.19681","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"pith_short_12","alias_value":"FQJBURL7NJFW","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"pith_short_16","alias_value":"FQJBURL7NJFW7KFZ","created_at":"2026-07-05T09:58:23Z"},{"alias_kind":"pith_short_8","alias_value":"FQJBURL7","created_at":"2026-07-05T09:58:23Z"}],"graph_snapshots":[{"event_id":"sha256:3edb64bba1b4b35f19355d741777d8a6c940b09092c9715e1844bb298438d602","target":"graph","created_at":"2026-07-05T09:58:23Z","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/2407.19681/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effective movement primitives should be capable of encoding and generating a rich repertoire of trajectories -- typically collected from human demonstrations -- conditioned on task-defining parameters such as vision or language inputs. While recent methods based on the motion manifold hypothesis, which assumes that a set of trajectories lies on a lower-dimensional nonlinear subspace, address challenges such as limited dataset size and the high dimensionality of trajectory data, they often struggle to capture complex task-motion dependencies, i.e., when motion distributions shift drastically wi","authors_text":"Byeongho Lee, Frank C. Park, Seungyeon Kim, Yonghyeon Lee","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-07-29T03:53:14Z","title":"Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.19681","kind":"arxiv","version":3},"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":"sha256:81dbae4c8d347992a86601b7aa487b31d2fabcf524c63ad53cf099f7fd587492","target":"record","created_at":"2026-07-05T09:58:23Z","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":"f58a40740cd28237816b5073dcad2d5dd3230ba197d2a22caee4b8bd35242e6a","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-07-29T03:53:14Z","title_canon_sha256":"b8cd4dae8e9eca2cf8288c03e57cdf48d545aac0faa08f3cbb9f8b97785858bc"},"schema_version":"1.0","source":{"id":"2407.19681","kind":"arxiv","version":3}},"canonical_sha256":"2c121a457f6a4b6fa8b9ec96b3ba9e4b83bb858d95111885591ec96c0be9d172","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2c121a457f6a4b6fa8b9ec96b3ba9e4b83bb858d95111885591ec96c0be9d172","first_computed_at":"2026-07-05T09:58:23.409746Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:23.409746Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YU6JvzbLpgCeGZjDIx9miPxkUZ5Qb/3LEVAalQoIbgg9nsf/RH8lnYUKP1xzOpvpul3jr+1gs3nU41JrGZqjDg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:23.410173Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.19681","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81dbae4c8d347992a86601b7aa487b31d2fabcf524c63ad53cf099f7fd587492","sha256:3edb64bba1b4b35f19355d741777d8a6c940b09092c9715e1844bb298438d602"],"state_sha256":"b3af455fb06207ff47d1f490194fd4e98e87d3b4e88174a110a7a9f52f897c16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2CuZwuuPtKs1eViJJjF/iSU9lZd8hEYL6HunPzrQNb13ag6Q/uM9YGYDf79BhpsYN2UOUcYKGu4KVy8jkgpaBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T23:53:03.719260Z","bundle_sha256":"ef538c2bc9692fed0cad14a18e51026470b6bdad7143cb9ca558c76441fa0d31"}}