{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NXP2IVVX4Q5ZFHUOLWBZBQCMD5","short_pith_number":"pith:NXP2IVVX","canonical_record":{"source":{"id":"1706.06134","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-06-19T18:49:25Z","cross_cats_sorted":[],"title_canon_sha256":"ac5034b01fa9450ef8a56c270c0c0a510fd5b901f7619e94542eb5a9bb48fb79","abstract_canon_sha256":"7c3381ee2e159e04f801def2e2e09bc5086f27ace85b3707802a4cce6f28bbfc"},"schema_version":"1.0"},"canonical_sha256":"6ddfa456b7e43b929e8e5d8390c04c1f7e16ef374091934020b24d137ce62854","source":{"kind":"arxiv","id":"1706.06134","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06134","created_at":"2026-05-18T00:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06134v1","created_at":"2026-05-18T00:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06134","created_at":"2026-05-18T00:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"NXP2IVVX4Q5Z","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NXP2IVVX4Q5ZFHUO","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NXP2IVVX","created_at":"2026-05-18T12:31:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NXP2IVVX4Q5ZFHUOLWBZBQCMD5","target":"record","payload":{"canonical_record":{"source":{"id":"1706.06134","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-06-19T18:49:25Z","cross_cats_sorted":[],"title_canon_sha256":"ac5034b01fa9450ef8a56c270c0c0a510fd5b901f7619e94542eb5a9bb48fb79","abstract_canon_sha256":"7c3381ee2e159e04f801def2e2e09bc5086f27ace85b3707802a4cce6f28bbfc"},"schema_version":"1.0"},"canonical_sha256":"6ddfa456b7e43b929e8e5d8390c04c1f7e16ef374091934020b24d137ce62854","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:42:04.182277Z","signature_b64":"JEk+X0f4aA/cNfhRCK8kpPN2PZshnXeZeJUcYTSb3DO50kzYABYDL8T08Eov6dAFerfg3evet2tV8sRL8xKDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6ddfa456b7e43b929e8e5d8390c04c1f7e16ef374091934020b24d137ce62854","last_reissued_at":"2026-05-18T00:42:04.181507Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:42:04.181507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.06134","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":"2026-05-18T00:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dr2H5bKKpjvVi+DVa1i4uOls6O08zB6ki2KZYhcBqbMSDqMbuM1aRmk968Gdr0xWI9mt4pAlLgnMLBb3MMuYDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T22:42:09.431159Z"},"content_sha256":"50841729b303097ce6e6bb498f0dd2dba41d3c56aafe5cb05678cf827c66a951","schema_version":"1.0","event_id":"sha256:50841729b303097ce6e6bb498f0dd2dba41d3c56aafe5cb05678cf827c66a951"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NXP2IVVX4Q5ZFHUOLWBZBQCMD5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Using Social Media to Predict the Future: A Systematic Literature Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CY","authors_text":"Chase Dowling, Kyle Shaffer, Lawrence Phillips, Nathan Hodas, Svitlana Volkova","submitted_at":"2017-06-19T18:49:25Z","abstract_excerpt":"Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable. Because user behavior on SM is a reflection of events in the real world, researchers have realized they can use SM in order to forecast, making predictions about the future. The advantage of SM data is its relative ease of acquisition, large quantity, and ability to capture socially relevant information, which may be difficult to gather from other data sources. Promising results exist across a wide variety of domains, but one will find little consensus r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06134","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":"2026-05-18T00:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7X4lf51GX3ab2JbzyTCE/Gp0z0A+AgzUrTTQse7wa9Mp6MZb+/zHjUsftqMiU1AVY01uoiNFbvwS2LHnT8vDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T22:42:09.431879Z"},"content_sha256":"5c61d7d3c4802910b39f7737353bc53cbc15f23dc86bdf732bc0eb380753b621","schema_version":"1.0","event_id":"sha256:5c61d7d3c4802910b39f7737353bc53cbc15f23dc86bdf732bc0eb380753b621"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5/bundle.json","state_url":"https://pith.science/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5/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":"2026-06-11T22:42:09Z","links":{"resolver":"https://pith.science/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5","bundle":"https://pith.science/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5/bundle.json","state":"https://pith.science/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NXP2IVVX4Q5ZFHUOLWBZBQCMD5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NXP2IVVX4Q5ZFHUOLWBZBQCMD5","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":"7c3381ee2e159e04f801def2e2e09bc5086f27ace85b3707802a4cce6f28bbfc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-06-19T18:49:25Z","title_canon_sha256":"ac5034b01fa9450ef8a56c270c0c0a510fd5b901f7619e94542eb5a9bb48fb79"},"schema_version":"1.0","source":{"id":"1706.06134","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.06134","created_at":"2026-05-18T00:42:04Z"},{"alias_kind":"arxiv_version","alias_value":"1706.06134v1","created_at":"2026-05-18T00:42:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.06134","created_at":"2026-05-18T00:42:04Z"},{"alias_kind":"pith_short_12","alias_value":"NXP2IVVX4Q5Z","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_16","alias_value":"NXP2IVVX4Q5ZFHUO","created_at":"2026-05-18T12:31:34Z"},{"alias_kind":"pith_short_8","alias_value":"NXP2IVVX","created_at":"2026-05-18T12:31:34Z"}],"graph_snapshots":[{"event_id":"sha256:5c61d7d3c4802910b39f7737353bc53cbc15f23dc86bdf732bc0eb380753b621","target":"graph","created_at":"2026-05-18T00:42:04Z","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":"Social media (SM) data provides a vast record of humanity's everyday thoughts, feelings, and actions at a resolution previously unimaginable. Because user behavior on SM is a reflection of events in the real world, researchers have realized they can use SM in order to forecast, making predictions about the future. The advantage of SM data is its relative ease of acquisition, large quantity, and ability to capture socially relevant information, which may be difficult to gather from other data sources. Promising results exist across a wide variety of domains, but one will find little consensus r","authors_text":"Chase Dowling, Kyle Shaffer, Lawrence Phillips, Nathan Hodas, Svitlana Volkova","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-06-19T18:49:25Z","title":"Using Social Media to Predict the Future: A Systematic Literature Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.06134","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":"sha256:50841729b303097ce6e6bb498f0dd2dba41d3c56aafe5cb05678cf827c66a951","target":"record","created_at":"2026-05-18T00:42:04Z","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":"7c3381ee2e159e04f801def2e2e09bc5086f27ace85b3707802a4cce6f28bbfc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2017-06-19T18:49:25Z","title_canon_sha256":"ac5034b01fa9450ef8a56c270c0c0a510fd5b901f7619e94542eb5a9bb48fb79"},"schema_version":"1.0","source":{"id":"1706.06134","kind":"arxiv","version":1}},"canonical_sha256":"6ddfa456b7e43b929e8e5d8390c04c1f7e16ef374091934020b24d137ce62854","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6ddfa456b7e43b929e8e5d8390c04c1f7e16ef374091934020b24d137ce62854","first_computed_at":"2026-05-18T00:42:04.181507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:42:04.181507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JEk+X0f4aA/cNfhRCK8kpPN2PZshnXeZeJUcYTSb3DO50kzYABYDL8T08Eov6dAFerfg3evet2tV8sRL8xKDCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:42:04.182277Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.06134","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50841729b303097ce6e6bb498f0dd2dba41d3c56aafe5cb05678cf827c66a951","sha256:5c61d7d3c4802910b39f7737353bc53cbc15f23dc86bdf732bc0eb380753b621"],"state_sha256":"0c7a73a7e05ee6a7a47a368cee107b96c66a3206e106919190c65b330099c7b2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6BgD4JMUtioYD0Zkcj216ZBQETwVaWeiUvfFaycNsnpN5SBtSs5kkltJIKWTCUCzvJVhZoAi57v+oIUg2tWjBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T22:42:09.435863Z","bundle_sha256":"bc6b1990b7e3e5cfca4cff962992bd5a03b6754b79646a25aafb2eee886808dc"}}