{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:SP6XDJYHCEFIPTBWHQBR4PT6C6","short_pith_number":"pith:SP6XDJYH","canonical_record":{"source":{"id":"1901.10106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-29T05:19:52Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"44edd4482b1256306cbeb656906222a455038ac4a58cad20c81346c9ad8b4c93","abstract_canon_sha256":"605bb4663801a62858474936255162576e44184784326f77cd1818b0ff12c2aa"},"schema_version":"1.0"},"canonical_sha256":"93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd","source":{"kind":"arxiv","id":"1901.10106","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.10106","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"arxiv_version","alias_value":"1901.10106v1","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.10106","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"pith_short_12","alias_value":"SP6XDJYHCEFI","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SP6XDJYHCEFIPTBW","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SP6XDJYH","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:SP6XDJYHCEFIPTBWHQBR4PT6C6","target":"record","payload":{"canonical_record":{"source":{"id":"1901.10106","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-29T05:19:52Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"44edd4482b1256306cbeb656906222a455038ac4a58cad20c81346c9ad8b4c93","abstract_canon_sha256":"605bb4663801a62858474936255162576e44184784326f77cd1818b0ff12c2aa"},"schema_version":"1.0"},"canonical_sha256":"93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:55:16.165260Z","signature_b64":"CSsO04MthdnFzmxVafXX8hnTaLQ6dg4TlLDmVLeud6q2fOgx1PVCAtJ0oFlg9tznUQuBw6aBVYfQLvI/19e+AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd","last_reissued_at":"2026-05-17T23:55:16.164773Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:55:16.164773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.10106","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":"2026-05-17T23:55:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hsgi8qpjXefapAPX7Ma0CSICpRkvXOYreCt7jNjx64p7CA74PLWDi3I77BAFJ/1dnE7NTNVzQnAgFP2lcaDLCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T23:56:30.209573Z"},"content_sha256":"45aed98a9cd417e9a0e5b93f07463f904bddc8eb769cdfefd1ce03951b819a95","schema_version":"1.0","event_id":"sha256:45aed98a9cd417e9a0e5b93f07463f904bddc8eb769cdfefd1ce03951b819a95"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:SP6XDJYHCEFIPTBWHQBR4PT6C6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jihoon Seo, Jiwoo Lee, Jungmin M. Lee, Sookyung Kim","submitted_at":"2019-01-29T05:19:52Z","abstract_excerpt":"Polluting fine dusts in South Korea which are mainly consisted of biomass burning and fugitive dust blown from dust belt is significant problem these days. Predicting concentrations of fine dust particles in Seoul is challenging because they are product of complicate chemical reactions among gaseous pollutants and also influenced by dynamical interactions between pollutants and multiple climate variables. Elaborating state-of-art time series analysis techniques using deep learning, non-linear interactions between multiple variables can be captured and used to predict future dust concentration."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.10106","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":"2026-05-17T23:55:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MQm+gOeIgrdAMLm8AfNXhOCTb6eKMtewHMDhxpb76ygSIWr3Y+yw1Np22vlZr6oSH8UygQbLGrcGUMVCbplICw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T23:56:30.209932Z"},"content_sha256":"bad6f6ae58d7a43dcc1c2758d5f576932cb40f3827ee12904f1fbd622cd87a08","schema_version":"1.0","event_id":"sha256:bad6f6ae58d7a43dcc1c2758d5f576932cb40f3827ee12904f1fbd622cd87a08"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6/bundle.json","state_url":"https://pith.science/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6/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":"2026-06-01T23:56:30Z","links":{"resolver":"https://pith.science/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6","bundle":"https://pith.science/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6/bundle.json","state":"https://pith.science/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SP6XDJYHCEFIPTBWHQBR4PT6C6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:SP6XDJYHCEFIPTBWHQBR4PT6C6","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":"605bb4663801a62858474936255162576e44184784326f77cd1818b0ff12c2aa","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-29T05:19:52Z","title_canon_sha256":"44edd4482b1256306cbeb656906222a455038ac4a58cad20c81346c9ad8b4c93"},"schema_version":"1.0","source":{"id":"1901.10106","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.10106","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"arxiv_version","alias_value":"1901.10106v1","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.10106","created_at":"2026-05-17T23:55:16Z"},{"alias_kind":"pith_short_12","alias_value":"SP6XDJYHCEFI","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"SP6XDJYHCEFIPTBW","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"SP6XDJYH","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:bad6f6ae58d7a43dcc1c2758d5f576932cb40f3827ee12904f1fbd622cd87a08","target":"graph","created_at":"2026-05-17T23:55:16Z","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":"Polluting fine dusts in South Korea which are mainly consisted of biomass burning and fugitive dust blown from dust belt is significant problem these days. Predicting concentrations of fine dust particles in Seoul is challenging because they are product of complicate chemical reactions among gaseous pollutants and also influenced by dynamical interactions between pollutants and multiple climate variables. Elaborating state-of-art time series analysis techniques using deep learning, non-linear interactions between multiple variables can be captured and used to predict future dust concentration.","authors_text":"Jihoon Seo, Jiwoo Lee, Jungmin M. Lee, Sookyung Kim","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-29T05:19:52Z","title":"Deep-dust: Predicting concentrations of fine dust in Seoul using LSTM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.10106","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":"sha256:45aed98a9cd417e9a0e5b93f07463f904bddc8eb769cdfefd1ce03951b819a95","target":"record","created_at":"2026-05-17T23:55:16Z","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":"605bb4663801a62858474936255162576e44184784326f77cd1818b0ff12c2aa","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-01-29T05:19:52Z","title_canon_sha256":"44edd4482b1256306cbeb656906222a455038ac4a58cad20c81346c9ad8b4c93"},"schema_version":"1.0","source":{"id":"1901.10106","kind":"arxiv","version":1}},"canonical_sha256":"93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93fd71a707110a87cc363c031e3e7e17a9d03e1741957a6a23400c23e8de7dcd","first_computed_at":"2026-05-17T23:55:16.164773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:55:16.164773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CSsO04MthdnFzmxVafXX8hnTaLQ6dg4TlLDmVLeud6q2fOgx1PVCAtJ0oFlg9tznUQuBw6aBVYfQLvI/19e+AA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:55:16.165260Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.10106","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45aed98a9cd417e9a0e5b93f07463f904bddc8eb769cdfefd1ce03951b819a95","sha256:bad6f6ae58d7a43dcc1c2758d5f576932cb40f3827ee12904f1fbd622cd87a08"],"state_sha256":"ec7287b77077fdbcf0d3d1e44a879ecbaf2158fa10b152b4fdbe25d456eb4399"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W3/LCFF+mIym5c5H5CBhUfD6FxQifXoThpjoH8CKtraAAFBJRn9d7xsBgJKfNs4h5X0M/5bz86XQ4bDoYhPmDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T23:56:30.213294Z","bundle_sha256":"86bf38998e01ffa8b904a51fe689b215d6aeb7fbdc2b4c53f69e030e2c44b6a7"}}