{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DU2NRXYULEA5XIUYGVNE2HBQAQ","short_pith_number":"pith:DU2NRXYU","canonical_record":{"source":{"id":"2409.03107","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-09-04T22:14:59Z","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"title_canon_sha256":"2c95a659e2eb2d3480ac14df4df64b409585990435b0f5f42da4612bd3edd701","abstract_canon_sha256":"44ef0d55fb068744c4336b809942930aa63bfae478f87e5042172422314910e3"},"schema_version":"1.0"},"canonical_sha256":"1d34d8df145901dba298355a4d1c300425aa4f3b98d363da732da0322fe58406","source":{"kind":"arxiv","id":"2409.03107","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.03107","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"arxiv_version","alias_value":"2409.03107v1","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.03107","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"pith_short_12","alias_value":"DU2NRXYULEA5","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"pith_short_16","alias_value":"DU2NRXYULEA5XIUY","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"pith_short_8","alias_value":"DU2NRXYU","created_at":"2026-07-05T09:03:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DU2NRXYULEA5XIUYGVNE2HBQAQ","target":"record","payload":{"canonical_record":{"source":{"id":"2409.03107","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-09-04T22:14:59Z","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"title_canon_sha256":"2c95a659e2eb2d3480ac14df4df64b409585990435b0f5f42da4612bd3edd701","abstract_canon_sha256":"44ef0d55fb068744c4336b809942930aa63bfae478f87e5042172422314910e3"},"schema_version":"1.0"},"canonical_sha256":"1d34d8df145901dba298355a4d1c300425aa4f3b98d363da732da0322fe58406","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:03:26.283278Z","signature_b64":"E+asso6s00i43I2bwInWNd3PwJ26FHhnjcRLU+rlh6nEUAVbJ7JB9x5pc6pq2moWvuYzZ+dy1Tq4PYYqnbdkDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d34d8df145901dba298355a4d1c300425aa4f3b98d363da732da0322fe58406","last_reissued_at":"2026-07-05T09:03:26.282867Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:03:26.282867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.03107","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":"2026-07-05T09:03:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FzY/o6BScbiNhGQiFaL+lmWfpRBlVI0qRGS3h7oTnNDKlGnQY5RxaDESEl8oiiztP6ZKATz0kNmr6EyUdoytDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T08:23:43.988264Z"},"content_sha256":"37fd14f6eac0a67dcdd7d9aae787c2c41b91fa9be3f258759d6268819c06eec3","schema_version":"1.0","event_id":"sha256:37fd14f6eac0a67dcdd7d9aae787c2c41b91fa9be3f258759d6268819c06eec3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DU2NRXYULEA5XIUYGVNE2HBQAQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.SY","eess.SY"],"primary_cat":"cs.RO","authors_text":"Biswadeep Chakraborty, Hemant Kumawat, Saibal Mukhopadhyay","submitted_at":"2024-09-04T22:14:59Z","abstract_excerpt":"Developing agents that can perform complex control tasks from high-dimensional observations is a core ability of autonomous agents that requires underlying robust task control policies and adapting the underlying visual representations to the task. Most existing policies need a lot of training samples and treat this problem from the lens of two-stage learning with a controller learned on top of pre-trained vision models. We approach this problem from the lens of Koopman theory and learn visual representations from robotic agents conditioned on specific downstream tasks in the context of learni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.03107","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/2409.03107/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":"2026-07-05T09:03:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kFaZ0zgtdng0cJ6u3DQ9dMYrEoZ2YhTpYKmat5KPmYSqB1fnD3EcIvfmB9Mq7DugwrO+lLqGpHaEpmK8dOjFCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T08:23:43.989346Z"},"content_sha256":"c4c87214985771bb84afadf4ff8588a2421a965b8653f329c27da027250ff804","schema_version":"1.0","event_id":"sha256:c4c87214985771bb84afadf4ff8588a2421a965b8653f329c27da027250ff804"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ/bundle.json","state_url":"https://pith.science/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ/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":"2026-08-06T08:23:43Z","links":{"resolver":"https://pith.science/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ","bundle":"https://pith.science/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ/bundle.json","state":"https://pith.science/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DU2NRXYULEA5XIUYGVNE2HBQAQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DU2NRXYULEA5XIUYGVNE2HBQAQ","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":"44ef0d55fb068744c4336b809942930aa63bfae478f87e5042172422314910e3","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-09-04T22:14:59Z","title_canon_sha256":"2c95a659e2eb2d3480ac14df4df64b409585990435b0f5f42da4612bd3edd701"},"schema_version":"1.0","source":{"id":"2409.03107","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.03107","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"arxiv_version","alias_value":"2409.03107v1","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.03107","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"pith_short_12","alias_value":"DU2NRXYULEA5","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"pith_short_16","alias_value":"DU2NRXYULEA5XIUY","created_at":"2026-07-05T09:03:26Z"},{"alias_kind":"pith_short_8","alias_value":"DU2NRXYU","created_at":"2026-07-05T09:03:26Z"}],"graph_snapshots":[{"event_id":"sha256:c4c87214985771bb84afadf4ff8588a2421a965b8653f329c27da027250ff804","target":"graph","created_at":"2026-07-05T09:03:26Z","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/2409.03107/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Developing agents that can perform complex control tasks from high-dimensional observations is a core ability of autonomous agents that requires underlying robust task control policies and adapting the underlying visual representations to the task. Most existing policies need a lot of training samples and treat this problem from the lens of two-stage learning with a controller learned on top of pre-trained vision models. We approach this problem from the lens of Koopman theory and learn visual representations from robotic agents conditioned on specific downstream tasks in the context of learni","authors_text":"Biswadeep Chakraborty, Hemant Kumawat, Saibal Mukhopadhyay","cross_cats":["cs.LG","cs.SY","eess.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-09-04T22:14:59Z","title":"RoboKoop: Efficient Control Conditioned Representations from Visual Input in Robotics using Koopman Operator"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.03107","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":"sha256:37fd14f6eac0a67dcdd7d9aae787c2c41b91fa9be3f258759d6268819c06eec3","target":"record","created_at":"2026-07-05T09:03:26Z","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":"44ef0d55fb068744c4336b809942930aa63bfae478f87e5042172422314910e3","cross_cats_sorted":["cs.LG","cs.SY","eess.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-09-04T22:14:59Z","title_canon_sha256":"2c95a659e2eb2d3480ac14df4df64b409585990435b0f5f42da4612bd3edd701"},"schema_version":"1.0","source":{"id":"2409.03107","kind":"arxiv","version":1}},"canonical_sha256":"1d34d8df145901dba298355a4d1c300425aa4f3b98d363da732da0322fe58406","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d34d8df145901dba298355a4d1c300425aa4f3b98d363da732da0322fe58406","first_computed_at":"2026-07-05T09:03:26.282867Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:03:26.282867Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"E+asso6s00i43I2bwInWNd3PwJ26FHhnjcRLU+rlh6nEUAVbJ7JB9x5pc6pq2moWvuYzZ+dy1Tq4PYYqnbdkDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:03:26.283278Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.03107","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:37fd14f6eac0a67dcdd7d9aae787c2c41b91fa9be3f258759d6268819c06eec3","sha256:c4c87214985771bb84afadf4ff8588a2421a965b8653f329c27da027250ff804"],"state_sha256":"a761c249cbd71cabbc3a50eee17d99ed1b2ddd3b1ca0de652f9357baf14168d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jsYs26GAl3gWfv2HnW9Ia5Mmc0scGi6Kba3sExodVe0qCi6b0yTWWQ+dmDvUfDRZotrA0IwbqqXwk1PdalGoDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T08:23:43.995094Z","bundle_sha256":"5bbbd8075527464f790e93236f8079a3237f458711c60b4acd4ed68bcf116211"}}