{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:YUTCFAHYUAXGNXSS2K5RQRS3PI","short_pith_number":"pith:YUTCFAHY","canonical_record":{"source":{"id":"1606.09585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-06-30T17:39:18Z","cross_cats_sorted":[],"title_canon_sha256":"d7607026e92d9ab76271920cf9ebe9ea16fea5b908f5bc929e1cea8c8c758246","abstract_canon_sha256":"28a6d767d33ccdbc6c81cb49c74dc3236f623be5fd68d8a5c23b911559dff393"},"schema_version":"1.0"},"canonical_sha256":"c5262280f8a02e66de52d2bb18465b7a0e0872f3bc7179b3deeb11859d3e19f5","source":{"kind":"arxiv","id":"1606.09585","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.09585","created_at":"2026-05-18T01:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"1606.09585v1","created_at":"2026-05-18T01:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.09585","created_at":"2026-05-18T01:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"YUTCFAHYUAXG","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YUTCFAHYUAXGNXSS","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YUTCFAHY","created_at":"2026-05-18T12:30:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:YUTCFAHYUAXGNXSS2K5RQRS3PI","target":"record","payload":{"canonical_record":{"source":{"id":"1606.09585","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-06-30T17:39:18Z","cross_cats_sorted":[],"title_canon_sha256":"d7607026e92d9ab76271920cf9ebe9ea16fea5b908f5bc929e1cea8c8c758246","abstract_canon_sha256":"28a6d767d33ccdbc6c81cb49c74dc3236f623be5fd68d8a5c23b911559dff393"},"schema_version":"1.0"},"canonical_sha256":"c5262280f8a02e66de52d2bb18465b7a0e0872f3bc7179b3deeb11859d3e19f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:40.229035Z","signature_b64":"XVcvtX/+cDcFJHZUkAr86NAZDoHvJRQ6KpEMsCBeV4gLZM8Hegjfmvw6L47QYsdbUY5AW8+xNi35yxX7tkFhBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5262280f8a02e66de52d2bb18465b7a0e0872f3bc7179b3deeb11859d3e19f5","last_reissued_at":"2026-05-18T01:11:40.228631Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:40.228631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.09585","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":"2026-05-18T01:11:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A1/1fv4a8adYkCPleRejeGHCwbZ7jAkZ3WWziHlVWriZRdnOk+PzwSaG+W/PfYsTl9irU5MtYRzONEcjI95jAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:15:50.430900Z"},"content_sha256":"c326939cf7962615e158dd044acfad192dd00682aa9ad243f0d07c9357190bf7","schema_version":"1.0","event_id":"sha256:c326939cf7962615e158dd044acfad192dd00682aa9ad243f0d07c9357190bf7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:YUTCFAHYUAXGNXSS2K5RQRS3PI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical animal movement models for population-level inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Brian M. Brost, Ephraim M. Hanks, Frances E. Buderman, Jacob S. Ivan, Mevin B. Hooten","submitted_at":"2016-06-30T17:39:18Z","abstract_excerpt":"New methods for modeling animal movement based on telemetry data are developed regularly. With advances in telemetry capabilities, animal movement models are becoming increasingly sophisticated. Despite a need for population-level inference, animal movement models are still predominantly developed for individual-level inference. Most efforts to upscale the inference to the population-level are either post hoc or complicated enough that only the developer can implement the model. Hierarchical Bayesian models provide an ideal platform for the development of population-level animal movement model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.09585","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":"2026-05-18T01:11:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"43PL59C3YAnPqpf+FQH8ZVpruwIWJFAaja9i7Bn9W8Ihmg9TRCUn6lwbA0al7ZXKPYqkarS8D9R3twzYMnL1AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T05:15:50.431267Z"},"content_sha256":"59b31c7457ff672c764cd5e801ccbde1fbc82853f66eb0190f6c81d3bd0ad602","schema_version":"1.0","event_id":"sha256:59b31c7457ff672c764cd5e801ccbde1fbc82853f66eb0190f6c81d3bd0ad602"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI/bundle.json","state_url":"https://pith.science/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI/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":"2026-06-01T05:15:50Z","links":{"resolver":"https://pith.science/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI","bundle":"https://pith.science/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI/bundle.json","state":"https://pith.science/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YUTCFAHYUAXGNXSS2K5RQRS3PI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:YUTCFAHYUAXGNXSS2K5RQRS3PI","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":"28a6d767d33ccdbc6c81cb49c74dc3236f623be5fd68d8a5c23b911559dff393","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-06-30T17:39:18Z","title_canon_sha256":"d7607026e92d9ab76271920cf9ebe9ea16fea5b908f5bc929e1cea8c8c758246"},"schema_version":"1.0","source":{"id":"1606.09585","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.09585","created_at":"2026-05-18T01:11:40Z"},{"alias_kind":"arxiv_version","alias_value":"1606.09585v1","created_at":"2026-05-18T01:11:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.09585","created_at":"2026-05-18T01:11:40Z"},{"alias_kind":"pith_short_12","alias_value":"YUTCFAHYUAXG","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_16","alias_value":"YUTCFAHYUAXGNXSS","created_at":"2026-05-18T12:30:53Z"},{"alias_kind":"pith_short_8","alias_value":"YUTCFAHY","created_at":"2026-05-18T12:30:53Z"}],"graph_snapshots":[{"event_id":"sha256:59b31c7457ff672c764cd5e801ccbde1fbc82853f66eb0190f6c81d3bd0ad602","target":"graph","created_at":"2026-05-18T01:11:40Z","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":"New methods for modeling animal movement based on telemetry data are developed regularly. With advances in telemetry capabilities, animal movement models are becoming increasingly sophisticated. Despite a need for population-level inference, animal movement models are still predominantly developed for individual-level inference. Most efforts to upscale the inference to the population-level are either post hoc or complicated enough that only the developer can implement the model. Hierarchical Bayesian models provide an ideal platform for the development of population-level animal movement model","authors_text":"Brian M. Brost, Ephraim M. Hanks, Frances E. Buderman, Jacob S. Ivan, Mevin B. Hooten","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-06-30T17:39:18Z","title":"Hierarchical animal movement models for population-level inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.09585","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:c326939cf7962615e158dd044acfad192dd00682aa9ad243f0d07c9357190bf7","target":"record","created_at":"2026-05-18T01:11:40Z","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":"28a6d767d33ccdbc6c81cb49c74dc3236f623be5fd68d8a5c23b911559dff393","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2016-06-30T17:39:18Z","title_canon_sha256":"d7607026e92d9ab76271920cf9ebe9ea16fea5b908f5bc929e1cea8c8c758246"},"schema_version":"1.0","source":{"id":"1606.09585","kind":"arxiv","version":1}},"canonical_sha256":"c5262280f8a02e66de52d2bb18465b7a0e0872f3bc7179b3deeb11859d3e19f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5262280f8a02e66de52d2bb18465b7a0e0872f3bc7179b3deeb11859d3e19f5","first_computed_at":"2026-05-18T01:11:40.228631Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:40.228631Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XVcvtX/+cDcFJHZUkAr86NAZDoHvJRQ6KpEMsCBeV4gLZM8Hegjfmvw6L47QYsdbUY5AW8+xNi35yxX7tkFhBg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:40.229035Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.09585","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c326939cf7962615e158dd044acfad192dd00682aa9ad243f0d07c9357190bf7","sha256:59b31c7457ff672c764cd5e801ccbde1fbc82853f66eb0190f6c81d3bd0ad602"],"state_sha256":"3a1e409498befd35d678225d7499d283748970a88ab0b134524ce75f9c059e06"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"24zzx7OvYS5ouRgH7RPwMM5n4zOpIxPteOXYQAWyHlKHL0K1K+XRTSCrwo+G/gujPSnZRy8ZRn2Z9t+7zHuqBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T05:15:50.433475Z","bundle_sha256":"ee1340a2c1dfe553a5485ca5dacba3654801ff4f0e61bf4d89208ff024e6813b"}}