{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:KROV4GQOA6JTXMY4RDCEWWLZ3S","short_pith_number":"pith:KROV4GQO","canonical_record":{"source":{"id":"1710.06578","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2017-10-18T04:01:33Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"4ac0b99ad3f157b3a95e120c2ac3a5bdc87688d139790740867a6249fe9f5793","abstract_canon_sha256":"127e1ee2f5d407377340bc0219df50cd9fb6f4dea9b01c17cf8641ca3d6235b4"},"schema_version":"1.0"},"canonical_sha256":"545d5e1a0e07933bb31c88c44b5979dc8fd1960043d3b00326aa4b0ba3a0900c","source":{"kind":"arxiv","id":"1710.06578","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.06578","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"1710.06578v2","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.06578","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"KROV4GQOA6JT","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"KROV4GQOA6JTXMY4","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"KROV4GQO","created_at":"2026-06-04T19:11:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:KROV4GQOA6JTXMY4RDCEWWLZ3S","target":"record","payload":{"canonical_record":{"source":{"id":"1710.06578","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2017-10-18T04:01:33Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"4ac0b99ad3f157b3a95e120c2ac3a5bdc87688d139790740867a6249fe9f5793","abstract_canon_sha256":"127e1ee2f5d407377340bc0219df50cd9fb6f4dea9b01c17cf8641ca3d6235b4"},"schema_version":"1.0"},"canonical_sha256":"545d5e1a0e07933bb31c88c44b5979dc8fd1960043d3b00326aa4b0ba3a0900c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T19:11:05.944024Z","signature_b64":"mv1uUttjIiX0H+xzocGwaSvLK3qZanqInNjVfOkNa4kipmB6PJUJXdDEmQupXeE6xeX6d9uKGmzg0exKbpadDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"545d5e1a0e07933bb31c88c44b5979dc8fd1960043d3b00326aa4b0ba3a0900c","last_reissued_at":"2026-06-04T19:11:05.943609Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T19:11:05.943609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.06578","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-04T19:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wzOZ7+YsfuHHhEagi41Zgv07aZ6uIBfxRw7ykLdPTYwUffJVkCw5xA+prYipMCQ0518gmtZ8UgV4+CYi+OONDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T08:11:30.945012Z"},"content_sha256":"56cd92db53261a644180cfaa14c3fa265d677381bc2c6d9711c2c856306f0953","schema_version":"1.0","event_id":"sha256:56cd92db53261a644180cfaa14c3fa265d677381bc2c6d9711c2c856306f0953"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:KROV4GQOA6JTXMY4RDCEWWLZ3S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Acceleration of Gradient-based Path Integral Method for Efficient Optimal and Inverse Optimal Control","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Masashi Okada, Tadahiro Taniguchi","submitted_at":"2017-10-18T04:01:33Z","abstract_excerpt":"This paper deals with a new accelerated path integral method, which iteratively searches optimal controls with a small number of iterations. This study is based on the recent observations that a path integral method for reinforcement learning can be interpreted as gradient descent. This observation also applies to an iterative path integral method for optimal control, which sets a convincing argument for utilizing various optimization methods for gradient descent, such as momentum-based acceleration, step-size adaptation and their combination. We introduce these types of methods to the path in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.06578","kind":"arxiv","version":2},"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/1710.06578/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":"2026-06-04T19:11:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3w2Qd9aF+OFYcR0raUWWF+ZBmrowC63jif9CcvxYR6DRKYGqnfHYeEFWO8Hs0kL5+3WEuCmtOdCa7ZBomYLsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T08:11:30.945414Z"},"content_sha256":"73120dff728621c8c0174b65752e8cffb96de50507cb4d8e6d986e86cb010fe7","schema_version":"1.0","event_id":"sha256:73120dff728621c8c0174b65752e8cffb96de50507cb4d8e6d986e86cb010fe7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S/bundle.json","state_url":"https://pith.science/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S/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":"2026-06-26T08:11:30Z","links":{"resolver":"https://pith.science/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S","bundle":"https://pith.science/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S/bundle.json","state":"https://pith.science/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KROV4GQOA6JTXMY4RDCEWWLZ3S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:KROV4GQOA6JTXMY4RDCEWWLZ3S","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":"127e1ee2f5d407377340bc0219df50cd9fb6f4dea9b01c17cf8641ca3d6235b4","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2017-10-18T04:01:33Z","title_canon_sha256":"4ac0b99ad3f157b3a95e120c2ac3a5bdc87688d139790740867a6249fe9f5793"},"schema_version":"1.0","source":{"id":"1710.06578","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.06578","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"arxiv_version","alias_value":"1710.06578v2","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.06578","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"pith_short_12","alias_value":"KROV4GQOA6JT","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"pith_short_16","alias_value":"KROV4GQOA6JTXMY4","created_at":"2026-06-04T19:11:05Z"},{"alias_kind":"pith_short_8","alias_value":"KROV4GQO","created_at":"2026-06-04T19:11:05Z"}],"graph_snapshots":[{"event_id":"sha256:73120dff728621c8c0174b65752e8cffb96de50507cb4d8e6d986e86cb010fe7","target":"graph","created_at":"2026-06-04T19:11:05Z","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/1710.06578/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper deals with a new accelerated path integral method, which iteratively searches optimal controls with a small number of iterations. This study is based on the recent observations that a path integral method for reinforcement learning can be interpreted as gradient descent. This observation also applies to an iterative path integral method for optimal control, which sets a convincing argument for utilizing various optimization methods for gradient descent, such as momentum-based acceleration, step-size adaptation and their combination. We introduce these types of methods to the path in","authors_text":"Masashi Okada, Tadahiro Taniguchi","cross_cats":["cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2017-10-18T04:01:33Z","title":"Acceleration of Gradient-based Path Integral Method for Efficient Optimal and Inverse Optimal Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.06578","kind":"arxiv","version":2},"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":"sha256:56cd92db53261a644180cfaa14c3fa265d677381bc2c6d9711c2c856306f0953","target":"record","created_at":"2026-06-04T19:11:05Z","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":"127e1ee2f5d407377340bc0219df50cd9fb6f4dea9b01c17cf8641ca3d6235b4","cross_cats_sorted":["cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2017-10-18T04:01:33Z","title_canon_sha256":"4ac0b99ad3f157b3a95e120c2ac3a5bdc87688d139790740867a6249fe9f5793"},"schema_version":"1.0","source":{"id":"1710.06578","kind":"arxiv","version":2}},"canonical_sha256":"545d5e1a0e07933bb31c88c44b5979dc8fd1960043d3b00326aa4b0ba3a0900c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"545d5e1a0e07933bb31c88c44b5979dc8fd1960043d3b00326aa4b0ba3a0900c","first_computed_at":"2026-06-04T19:11:05.943609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T19:11:05.943609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mv1uUttjIiX0H+xzocGwaSvLK3qZanqInNjVfOkNa4kipmB6PJUJXdDEmQupXeE6xeX6d9uKGmzg0exKbpadDQ==","signature_status":"signed_v1","signed_at":"2026-06-04T19:11:05.944024Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.06578","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:56cd92db53261a644180cfaa14c3fa265d677381bc2c6d9711c2c856306f0953","sha256:73120dff728621c8c0174b65752e8cffb96de50507cb4d8e6d986e86cb010fe7"],"state_sha256":"b880fb5e43d9c096f391d8b2b2d240242b416dd0a2cae88dc9061026887087d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rZrtUFTcHBy43t+TdquCojTXc12EH/fNrobTM7C0RWi8kGnp39mGsE8RKabm0qlheLd58yAmSiKDu4qQucR4Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T08:11:30.947455Z","bundle_sha256":"007057a34dcead95f2476f2943528e5ec4460d36423869113d463d26fcb63460"}}