{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:RQCCLU6LFCHBUCHTUBFC2CGZU4","short_pith_number":"pith:RQCCLU6L","canonical_record":{"source":{"id":"1612.00129","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2016-12-01T03:32:13Z","cross_cats_sorted":[],"title_canon_sha256":"20c6be24f6e0dea17d50fe08592a26e7e754f08afa5fbb9fc2030430bc0ab58f","abstract_canon_sha256":"a9d827830c464b187417460454b09b1f3146251507748ecd9565c26200fe54d5"},"schema_version":"1.0"},"canonical_sha256":"8c0425d3cb288e1a08f3a04a2d08d9a73b8037746e577535aa91429d67ae3ac6","source":{"kind":"arxiv","id":"1612.00129","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.00129","created_at":"2026-05-18T00:56:06Z"},{"alias_kind":"arxiv_version","alias_value":"1612.00129v1","created_at":"2026-05-18T00:56:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.00129","created_at":"2026-05-18T00:56:06Z"},{"alias_kind":"pith_short_12","alias_value":"RQCCLU6LFCHB","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RQCCLU6LFCHBUCHT","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RQCCLU6L","created_at":"2026-05-18T12:30:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:RQCCLU6LFCHBUCHTUBFC2CGZU4","target":"record","payload":{"canonical_record":{"source":{"id":"1612.00129","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2016-12-01T03:32:13Z","cross_cats_sorted":[],"title_canon_sha256":"20c6be24f6e0dea17d50fe08592a26e7e754f08afa5fbb9fc2030430bc0ab58f","abstract_canon_sha256":"a9d827830c464b187417460454b09b1f3146251507748ecd9565c26200fe54d5"},"schema_version":"1.0"},"canonical_sha256":"8c0425d3cb288e1a08f3a04a2d08d9a73b8037746e577535aa91429d67ae3ac6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:56:06.776404Z","signature_b64":"q9ETSGnEEnKYf4mU5Ag4unwFKl71zqBOlGdo4PfD0k8cDjVnp0PHZCbokZ7OJNspV4vPz+ashWJrJ4B0qSBqCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c0425d3cb288e1a08f3a04a2d08d9a73b8037746e577535aa91429d67ae3ac6","last_reissued_at":"2026-05-18T00:56:06.775781Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:56:06.775781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.00129","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":"2026-05-18T00:56:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Aeig+lOofhsbRFZYqcFx54OyiCZ86CI5Zf1VYDTqaKT1CuRZ5APwIKlX7vO9MtMVrOuP6zcwmi47hQXOy9LyDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:01:57.496093Z"},"content_sha256":"ce5a383a46fcf5a252a8762ec708710c4f5ad336fe5daad208a9c71de89b8ee0","schema_version":"1.0","event_id":"sha256:ce5a383a46fcf5a252a8762ec708710c4f5ad336fe5daad208a9c71de89b8ee0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:RQCCLU6LFCHBUCHTUBFC2CGZU4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Long-term Outcomes of Educational Interventions Using the Evolutionary Causal Matrices and Markov Chain Based on Educational Neuroscience","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Firat Soylu, Hyemin Han, Kangwook Lee","submitted_at":"2016-12-01T03:32:13Z","abstract_excerpt":"We developed a prediction model based on the evolutionary causal matrices (ECM) and the Markov Chain to predict long-term influences of educational interventions on adolescents development. Particularly, we created a computational model predicting longitudinal influences of different types of stories of moral exemplars on adolescents voluntary service participation. We tested whether the developed prediction model can properly predict a long-term longitudinal trend of change in voluntary service participation rate by comparing prediction results and surveyed data. Furthermore, we examined whic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.00129","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":"2026-05-18T00:56:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7yv/VZYYkB3Sy+blR8kDtxQ3wHOuen8VWensdmMnjzMM+DKjNlBeVGySIp2RhkVLbKNEb1k8DE7sLBtQU6EZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T11:01:57.496792Z"},"content_sha256":"1dbc1ece9689308bc8018c0625469db30fd0f014bb4da3d70f80cd22d757e134","schema_version":"1.0","event_id":"sha256:1dbc1ece9689308bc8018c0625469db30fd0f014bb4da3d70f80cd22d757e134"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4/bundle.json","state_url":"https://pith.science/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4/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":"2026-05-26T11:01:57Z","links":{"resolver":"https://pith.science/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4","bundle":"https://pith.science/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4/bundle.json","state":"https://pith.science/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RQCCLU6LFCHBUCHTUBFC2CGZU4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:RQCCLU6LFCHBUCHTUBFC2CGZU4","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":"a9d827830c464b187417460454b09b1f3146251507748ecd9565c26200fe54d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2016-12-01T03:32:13Z","title_canon_sha256":"20c6be24f6e0dea17d50fe08592a26e7e754f08afa5fbb9fc2030430bc0ab58f"},"schema_version":"1.0","source":{"id":"1612.00129","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.00129","created_at":"2026-05-18T00:56:06Z"},{"alias_kind":"arxiv_version","alias_value":"1612.00129v1","created_at":"2026-05-18T00:56:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.00129","created_at":"2026-05-18T00:56:06Z"},{"alias_kind":"pith_short_12","alias_value":"RQCCLU6LFCHB","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"RQCCLU6LFCHBUCHT","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"RQCCLU6L","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:1dbc1ece9689308bc8018c0625469db30fd0f014bb4da3d70f80cd22d757e134","target":"graph","created_at":"2026-05-18T00:56:06Z","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":"We developed a prediction model based on the evolutionary causal matrices (ECM) and the Markov Chain to predict long-term influences of educational interventions on adolescents development. Particularly, we created a computational model predicting longitudinal influences of different types of stories of moral exemplars on adolescents voluntary service participation. We tested whether the developed prediction model can properly predict a long-term longitudinal trend of change in voluntary service participation rate by comparing prediction results and surveyed data. Furthermore, we examined whic","authors_text":"Firat Soylu, Hyemin Han, Kangwook Lee","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2016-12-01T03:32:13Z","title":"Predicting Long-term Outcomes of Educational Interventions Using the Evolutionary Causal Matrices and Markov Chain Based on Educational Neuroscience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.00129","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:ce5a383a46fcf5a252a8762ec708710c4f5ad336fe5daad208a9c71de89b8ee0","target":"record","created_at":"2026-05-18T00:56:06Z","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":"a9d827830c464b187417460454b09b1f3146251507748ecd9565c26200fe54d5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.AP","submitted_at":"2016-12-01T03:32:13Z","title_canon_sha256":"20c6be24f6e0dea17d50fe08592a26e7e754f08afa5fbb9fc2030430bc0ab58f"},"schema_version":"1.0","source":{"id":"1612.00129","kind":"arxiv","version":1}},"canonical_sha256":"8c0425d3cb288e1a08f3a04a2d08d9a73b8037746e577535aa91429d67ae3ac6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c0425d3cb288e1a08f3a04a2d08d9a73b8037746e577535aa91429d67ae3ac6","first_computed_at":"2026-05-18T00:56:06.775781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:56:06.775781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"q9ETSGnEEnKYf4mU5Ag4unwFKl71zqBOlGdo4PfD0k8cDjVnp0PHZCbokZ7OJNspV4vPz+ashWJrJ4B0qSBqCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:56:06.776404Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.00129","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce5a383a46fcf5a252a8762ec708710c4f5ad336fe5daad208a9c71de89b8ee0","sha256:1dbc1ece9689308bc8018c0625469db30fd0f014bb4da3d70f80cd22d757e134"],"state_sha256":"61a1488233c2fbed597b915682da4261a722f91c4b0d00302bd410568ce33774"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BFn/ZC6UeFCQrgggvTvOiWC1LIOcELwET1m1CNX74frutosls48YkHGAKd2nEZ2gsdDaE1p/l681LfdQFzYZBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T11:01:57.499940Z","bundle_sha256":"c65da78d3d7a5cb777ea7cf1ef6b5f1718fb854667c1a40e7ebe50c6fd1fe1c8"}}