{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4S7K6LMYM5NTXLPYCZHVHW5U3B","short_pith_number":"pith:4S7K6LMY","canonical_record":{"source":{"id":"1705.10310","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-22T13:36:23Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"78f294b15c397130111dcbc2e70fed98ba5f14a4ab1a22e70aa5b8e2d61cdfff","abstract_canon_sha256":"9d1fb7dbe10dc237077276cf4c1229631cfee54a7700da39a879a88daed4c7d1"},"schema_version":"1.0"},"canonical_sha256":"e4beaf2d98675b3badf8164f53dbb4d85e243fa626316a8e72033625f525d5f4","source":{"kind":"arxiv","id":"1705.10310","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10310","created_at":"2026-05-18T00:40:23Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10310v2","created_at":"2026-05-18T00:40:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10310","created_at":"2026-05-18T00:40:23Z"},{"alias_kind":"pith_short_12","alias_value":"4S7K6LMYM5NT","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4S7K6LMYM5NTXLPY","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4S7K6LMY","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4S7K6LMYM5NTXLPYCZHVHW5U3B","target":"record","payload":{"canonical_record":{"source":{"id":"1705.10310","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-22T13:36:23Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"78f294b15c397130111dcbc2e70fed98ba5f14a4ab1a22e70aa5b8e2d61cdfff","abstract_canon_sha256":"9d1fb7dbe10dc237077276cf4c1229631cfee54a7700da39a879a88daed4c7d1"},"schema_version":"1.0"},"canonical_sha256":"e4beaf2d98675b3badf8164f53dbb4d85e243fa626316a8e72033625f525d5f4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:23.705595Z","signature_b64":"CUfvjShWWiQTn6WN8F/yfKig1YC8BwX63Cj0rR0oGCtZsGbMQAugICNF2WfdVe18E25VjG/plDAiIlBcyqDcBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4beaf2d98675b3badf8164f53dbb4d85e243fa626316a8e72033625f525d5f4","last_reissued_at":"2026-05-18T00:40:23.705066Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:23.705066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.10310","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":"2026-05-18T00:40:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3EnCbUDBkBXbkt7MC9V5uygcgC/W4FNwSEJI/3lKfDWYp5ntwlmd/Eka12hecOL4AqghPTYX3vn0NdqQ37l/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T00:32:31.680680Z"},"content_sha256":"98701aae7088402ad4ba8d7585248ae58595c297364bc5ed97a4ef2edf7ab3a7","schema_version":"1.0","event_id":"sha256:98701aae7088402ad4ba8d7585248ae58595c297364bc5ed97a4ef2edf7ab3a7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4S7K6LMYM5NTXLPYCZHVHW5U3B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Imputation Approaches for Animal Movement Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Devin S. Johnson, Henry R. Scharf, Mevin B. Hooten","submitted_at":"2017-05-22T13:36:23Z","abstract_excerpt":"The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inferen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10310","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":""},"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":"2026-05-18T00:40:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KfvtKLV1cgkQlMeXtCA+ZbxrA7BK7rSHRsKxyX36uMOFZ4dhOygI8GT5z31H+Kq0QkumuYaw9oYmTUJ3wgq4BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T00:32:31.681405Z"},"content_sha256":"4daf9b002e1d15d3eccfa46d1f5d36fdd11f4a35af1ebd8388715f2a62aa094c","schema_version":"1.0","event_id":"sha256:4daf9b002e1d15d3eccfa46d1f5d36fdd11f4a35af1ebd8388715f2a62aa094c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B/bundle.json","state_url":"https://pith.science/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B/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":"2026-06-01T00:32:31Z","links":{"resolver":"https://pith.science/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B","bundle":"https://pith.science/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B/bundle.json","state":"https://pith.science/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4S7K6LMYM5NTXLPYCZHVHW5U3B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4S7K6LMYM5NTXLPYCZHVHW5U3B","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":"9d1fb7dbe10dc237077276cf4c1229631cfee54a7700da39a879a88daed4c7d1","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-22T13:36:23Z","title_canon_sha256":"78f294b15c397130111dcbc2e70fed98ba5f14a4ab1a22e70aa5b8e2d61cdfff"},"schema_version":"1.0","source":{"id":"1705.10310","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.10310","created_at":"2026-05-18T00:40:23Z"},{"alias_kind":"arxiv_version","alias_value":"1705.10310v2","created_at":"2026-05-18T00:40:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.10310","created_at":"2026-05-18T00:40:23Z"},{"alias_kind":"pith_short_12","alias_value":"4S7K6LMYM5NT","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4S7K6LMYM5NTXLPY","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4S7K6LMY","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:4daf9b002e1d15d3eccfa46d1f5d36fdd11f4a35af1ebd8388715f2a62aa094c","target":"graph","created_at":"2026-05-18T00:40:23Z","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"},"paper":{"abstract_excerpt":"The analysis of telemetry data is common in animal ecological studies. While the collection of telemetry data for individual animals has improved dramatically, the methods to properly account for inherent uncertainties (e.g., measurement error, dependence, barriers to movement) have lagged behind. Still, many new statistical approaches have been developed to infer unknown quantities affecting animal movement or predict movement based on telemetry data. Hierarchical statistical models are useful to account for some of the aforementioned uncertainties, as well as provide population-level inferen","authors_text":"Devin S. Johnson, Henry R. Scharf, Mevin B. Hooten","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-22T13:36:23Z","title":"Imputation Approaches for Animal Movement Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.10310","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":"sha256:98701aae7088402ad4ba8d7585248ae58595c297364bc5ed97a4ef2edf7ab3a7","target":"record","created_at":"2026-05-18T00:40:23Z","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":"9d1fb7dbe10dc237077276cf4c1229631cfee54a7700da39a879a88daed4c7d1","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-22T13:36:23Z","title_canon_sha256":"78f294b15c397130111dcbc2e70fed98ba5f14a4ab1a22e70aa5b8e2d61cdfff"},"schema_version":"1.0","source":{"id":"1705.10310","kind":"arxiv","version":2}},"canonical_sha256":"e4beaf2d98675b3badf8164f53dbb4d85e243fa626316a8e72033625f525d5f4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e4beaf2d98675b3badf8164f53dbb4d85e243fa626316a8e72033625f525d5f4","first_computed_at":"2026-05-18T00:40:23.705066Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:23.705066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CUfvjShWWiQTn6WN8F/yfKig1YC8BwX63Cj0rR0oGCtZsGbMQAugICNF2WfdVe18E25VjG/plDAiIlBcyqDcBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:23.705595Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.10310","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98701aae7088402ad4ba8d7585248ae58595c297364bc5ed97a4ef2edf7ab3a7","sha256:4daf9b002e1d15d3eccfa46d1f5d36fdd11f4a35af1ebd8388715f2a62aa094c"],"state_sha256":"1efe4aabbf5b242fd085ac684037e9589959b254ba61252df4cf561215bf856e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qT6K604CfHIsEn4T0jh0RSaZnMMf/cjJRGW6EY6jHJTcjevjmHfHsrAP3QPXlpmMBeSWaO/O8kokaukRiXhYDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T00:32:31.685246Z","bundle_sha256":"1ad1ea34af008065d636d33aa8a86efc7e46136a6a3acc3bd19be01d85673f24"}}