{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:EVU3OYNAK5OKZRE72SHKANZQCA","short_pith_number":"pith:EVU3OYNA","canonical_record":{"source":{"id":"1611.00549","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-02T11:23:54Z","cross_cats_sorted":[],"title_canon_sha256":"92e9f784f7336b778a90732fab01c8a8be707ab0fe2bd1e062c1dcb3b766fe94","abstract_canon_sha256":"5521d22382e288a7332fd0e289e872a7ba3f742c23f87947f50137154f99f3b6"},"schema_version":"1.0"},"canonical_sha256":"2569b761a0575cacc49fd48ea03730103be956f0fe93fdad38eb79009aaf0668","source":{"kind":"arxiv","id":"1611.00549","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.00549","created_at":"2026-05-18T01:00:32Z"},{"alias_kind":"arxiv_version","alias_value":"1611.00549v1","created_at":"2026-05-18T01:00:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.00549","created_at":"2026-05-18T01:00:32Z"},{"alias_kind":"pith_short_12","alias_value":"EVU3OYNAK5OK","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EVU3OYNAK5OKZRE7","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EVU3OYNA","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:EVU3OYNAK5OKZRE72SHKANZQCA","target":"record","payload":{"canonical_record":{"source":{"id":"1611.00549","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-02T11:23:54Z","cross_cats_sorted":[],"title_canon_sha256":"92e9f784f7336b778a90732fab01c8a8be707ab0fe2bd1e062c1dcb3b766fe94","abstract_canon_sha256":"5521d22382e288a7332fd0e289e872a7ba3f742c23f87947f50137154f99f3b6"},"schema_version":"1.0"},"canonical_sha256":"2569b761a0575cacc49fd48ea03730103be956f0fe93fdad38eb79009aaf0668","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:00:32.441289Z","signature_b64":"YfRSJf/f3wtp6gntTn6LVWaYD9ufTFdyxVfmi6Nn0mQDw7LTwHHjlX1OkpKbxFb4Ptofl3refTemvA6oCcOUCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2569b761a0575cacc49fd48ea03730103be956f0fe93fdad38eb79009aaf0668","last_reissued_at":"2026-05-18T01:00:32.440564Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:00:32.440564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1611.00549","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":"2026-05-18T01:00:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jaezvlh+YlNTa+OtBgrdmSJmgnm3J+2SVxYJf+QA6RGoqhQRxfcphVdh9uU18kH2oOLzDVju/CWynIpD52ARCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:11:36.853312Z"},"content_sha256":"54c14873701367be114cd33209976b02464cc27898fa209b902aa9e776e9e3f5","schema_version":"1.0","event_id":"sha256:54c14873701367be114cd33209976b02464cc27898fa209b902aa9e776e9e3f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:EVU3OYNAK5OKZRE72SHKANZQCA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Mikhail Prokopenko, Oliver M. Cliff, Robert Fitch","submitted_at":"2016-11-02T11:23:54Z","abstract_excerpt":"In this work, we are interested in structure learning for a set of spatially distributed dynamical systems, where individual subsystems are coupled via latent variables and observed through a filter. We represent this model as a directed acyclic graph (DAG) that characterises the unidirectional coupling between subsystems. Standard approaches to structure learning are not applicable in this framework due to the hidden variables, however we can exploit the properties of certain dynamical systems to formulate exact methods based on state space reconstruction. We approach the problem by using rec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.00549","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":""},"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":"2026-05-18T01:00:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fT+SziAtYybQdlEjs6bWMvg3Dc3sS9jzOERCoxTgEbez4JJBacBzaCFhOm4fN/ylCFSIr0ud6tA00o9VgDCyAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T09:11:36.853788Z"},"content_sha256":"b99b2a7881925ee11004cc0615ce7fb2053b0b6874ebd1880b9104c96ae719aa","schema_version":"1.0","event_id":"sha256:b99b2a7881925ee11004cc0615ce7fb2053b0b6874ebd1880b9104c96ae719aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EVU3OYNAK5OKZRE72SHKANZQCA/bundle.json","state_url":"https://pith.science/pith/EVU3OYNAK5OKZRE72SHKANZQCA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EVU3OYNAK5OKZRE72SHKANZQCA/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":"2026-05-26T09:11:36Z","links":{"resolver":"https://pith.science/pith/EVU3OYNAK5OKZRE72SHKANZQCA","bundle":"https://pith.science/pith/EVU3OYNAK5OKZRE72SHKANZQCA/bundle.json","state":"https://pith.science/pith/EVU3OYNAK5OKZRE72SHKANZQCA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EVU3OYNAK5OKZRE72SHKANZQCA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:EVU3OYNAK5OKZRE72SHKANZQCA","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":"5521d22382e288a7332fd0e289e872a7ba3f742c23f87947f50137154f99f3b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-02T11:23:54Z","title_canon_sha256":"92e9f784f7336b778a90732fab01c8a8be707ab0fe2bd1e062c1dcb3b766fe94"},"schema_version":"1.0","source":{"id":"1611.00549","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1611.00549","created_at":"2026-05-18T01:00:32Z"},{"alias_kind":"arxiv_version","alias_value":"1611.00549v1","created_at":"2026-05-18T01:00:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1611.00549","created_at":"2026-05-18T01:00:32Z"},{"alias_kind":"pith_short_12","alias_value":"EVU3OYNAK5OK","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"EVU3OYNAK5OKZRE7","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"EVU3OYNA","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:b99b2a7881925ee11004cc0615ce7fb2053b0b6874ebd1880b9104c96ae719aa","target":"graph","created_at":"2026-05-18T01:00:32Z","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"},"paper":{"abstract_excerpt":"In this work, we are interested in structure learning for a set of spatially distributed dynamical systems, where individual subsystems are coupled via latent variables and observed through a filter. We represent this model as a directed acyclic graph (DAG) that characterises the unidirectional coupling between subsystems. Standard approaches to structure learning are not applicable in this framework due to the hidden variables, however we can exploit the properties of certain dynamical systems to formulate exact methods based on state space reconstruction. We approach the problem by using rec","authors_text":"Mikhail Prokopenko, Oliver M. Cliff, Robert Fitch","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-02T11:23:54Z","title":"Inferring Coupling of Distributed Dynamical Systems via Transfer Entropy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1611.00549","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":"sha256:54c14873701367be114cd33209976b02464cc27898fa209b902aa9e776e9e3f5","target":"record","created_at":"2026-05-18T01:00:32Z","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":"5521d22382e288a7332fd0e289e872a7ba3f742c23f87947f50137154f99f3b6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-11-02T11:23:54Z","title_canon_sha256":"92e9f784f7336b778a90732fab01c8a8be707ab0fe2bd1e062c1dcb3b766fe94"},"schema_version":"1.0","source":{"id":"1611.00549","kind":"arxiv","version":1}},"canonical_sha256":"2569b761a0575cacc49fd48ea03730103be956f0fe93fdad38eb79009aaf0668","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2569b761a0575cacc49fd48ea03730103be956f0fe93fdad38eb79009aaf0668","first_computed_at":"2026-05-18T01:00:32.440564Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:00:32.440564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YfRSJf/f3wtp6gntTn6LVWaYD9ufTFdyxVfmi6Nn0mQDw7LTwHHjlX1OkpKbxFb4Ptofl3refTemvA6oCcOUCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:00:32.441289Z","signed_message":"canonical_sha256_bytes"},"source_id":"1611.00549","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:54c14873701367be114cd33209976b02464cc27898fa209b902aa9e776e9e3f5","sha256:b99b2a7881925ee11004cc0615ce7fb2053b0b6874ebd1880b9104c96ae719aa"],"state_sha256":"4c11b5ca94f519daea57204d3dc8b668bd926bc8c798a00a0a7345d8e5dd283a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7WGO/cXSPooP41xvm93rdF5NWZxUPL9bCM5bHQWES3uKp1dNMTolEFRIjLblG+AQHBmSaSckDRJT+7P7J/ysCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T09:11:36.856350Z","bundle_sha256":"2da621893eb404d4cb6c501647f64e3e0368cee1f1be322b10f927b3af607e71"}}