{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2LWLB4QNOWGZNI5U37BDEC6HJ7","short_pith_number":"pith:2LWLB4QN","canonical_record":{"source":{"id":"2405.04716","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-05-07T23:43:46Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"65dfb7bd12642a9d5ac5ad76889738fc4c511292b9430656c44d60bd2428b9c5","abstract_canon_sha256":"45a76d7d045dc378bbbbc171259bd11c3ac8e6824f048f1e23ca951bef635bef"},"schema_version":"1.0"},"canonical_sha256":"d2ecb0f20d758d96a3b4dfc2320bc74fd46c1e39c2d62077e8229ffe4e51f9cf","source":{"kind":"arxiv","id":"2405.04716","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04716","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04716v1","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04716","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"2LWLB4QNOWGZ","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"pith_short_16","alias_value":"2LWLB4QNOWGZNI5U","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"pith_short_8","alias_value":"2LWLB4QN","created_at":"2026-07-05T08:16:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2LWLB4QNOWGZNI5U37BDEC6HJ7","target":"record","payload":{"canonical_record":{"source":{"id":"2405.04716","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-05-07T23:43:46Z","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"title_canon_sha256":"65dfb7bd12642a9d5ac5ad76889738fc4c511292b9430656c44d60bd2428b9c5","abstract_canon_sha256":"45a76d7d045dc378bbbbc171259bd11c3ac8e6824f048f1e23ca951bef635bef"},"schema_version":"1.0"},"canonical_sha256":"d2ecb0f20d758d96a3b4dfc2320bc74fd46c1e39c2d62077e8229ffe4e51f9cf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:16:52.968983Z","signature_b64":"bCaecRnWU0E9yAa4hJw4vdigwJi+NhlB5KCoRIrvvTGA7GAScDOTG5w/SmFqtaBsI+oWuApxegKunQrjHqw9BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2ecb0f20d758d96a3b4dfc2320bc74fd46c1e39c2d62077e8229ffe4e51f9cf","last_reissued_at":"2026-07-05T08:16:52.968416Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:16:52.968416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.04716","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":"2026-07-05T08:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e11oA/GYVpljxwmUoya0wgG4r3ZdHy878R3L7seHWER0IzFvR45aRiS4r/DEiCxK3miRrHcLbcxCH1U2KbNDDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:32:52.797698Z"},"content_sha256":"d932e115e1e819df21c10a804e8856a46291f0bd8b55b4f08a3c6761807ea6b0","schema_version":"1.0","event_id":"sha256:d932e115e1e819df21c10a804e8856a46291f0bd8b55b4f08a3c6761807ea6b0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2LWLB4QNOWGZNI5U37BDEC6HJ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.NE"],"primary_cat":"cs.CY","authors_text":"Cong Cao, Ramit Debnath, R. Michael Alvarez","submitted_at":"2024-05-07T23:43:46Z","abstract_excerpt":"Policymakers frequently analyze air quality and climate change in isolation, disregarding their interactions. This study explores the influence of specific climate factors on air quality by contrasting a regression model with K-Means Clustering, Hierarchical Clustering, and Random Forest techniques. We employ Physics-based Deep Learning (PBDL) and Long Short-Term Memory (LSTM) to examine the air pollution predictions. Our analysis utilizes ten years (2009-2018) of daily traffic, weather, and air pollution data from three major cities in Norway. Findings from feature selection reveal a correlat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04716","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2405.04716/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T08:16:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VmZawIbn/+vi64uvHVdZS7oYHUnxq0takC5he5GsIZQ98AiaiBFzrX24FGumoTUNNUy70Tam0cpCZgqzitbPDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:32:52.797981Z"},"content_sha256":"855ce3dc794e12f6dcbd3a6da92474cefa04b9db2bac2702507f0ff9b59870d7","schema_version":"1.0","event_id":"sha256:855ce3dc794e12f6dcbd3a6da92474cefa04b9db2bac2702507f0ff9b59870d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7/bundle.json","state_url":"https://pith.science/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7/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":"2026-08-05T18:32:52Z","links":{"resolver":"https://pith.science/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7","bundle":"https://pith.science/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7/bundle.json","state":"https://pith.science/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2LWLB4QNOWGZNI5U37BDEC6HJ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2LWLB4QNOWGZNI5U37BDEC6HJ7","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":"45a76d7d045dc378bbbbc171259bd11c3ac8e6824f048f1e23ca951bef635bef","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-05-07T23:43:46Z","title_canon_sha256":"65dfb7bd12642a9d5ac5ad76889738fc4c511292b9430656c44d60bd2428b9c5"},"schema_version":"1.0","source":{"id":"2405.04716","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.04716","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"arxiv_version","alias_value":"2405.04716v1","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.04716","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"pith_short_12","alias_value":"2LWLB4QNOWGZ","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"pith_short_16","alias_value":"2LWLB4QNOWGZNI5U","created_at":"2026-07-05T08:16:52Z"},{"alias_kind":"pith_short_8","alias_value":"2LWLB4QN","created_at":"2026-07-05T08:16:52Z"}],"graph_snapshots":[{"event_id":"sha256:855ce3dc794e12f6dcbd3a6da92474cefa04b9db2bac2702507f0ff9b59870d7","target":"graph","created_at":"2026-07-05T08:16:52Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2405.04716/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Policymakers frequently analyze air quality and climate change in isolation, disregarding their interactions. This study explores the influence of specific climate factors on air quality by contrasting a regression model with K-Means Clustering, Hierarchical Clustering, and Random Forest techniques. We employ Physics-based Deep Learning (PBDL) and Long Short-Term Memory (LSTM) to examine the air pollution predictions. Our analysis utilizes ten years (2009-2018) of daily traffic, weather, and air pollution data from three major cities in Norway. Findings from feature selection reveal a correlat","authors_text":"Cong Cao, Ramit Debnath, R. Michael Alvarez","cross_cats":["cs.AI","cs.LG","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-05-07T23:43:46Z","title":"Physics-based deep learning reveals rising heating demand heightens air pollution in Norwegian cities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.04716","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:d932e115e1e819df21c10a804e8856a46291f0bd8b55b4f08a3c6761807ea6b0","target":"record","created_at":"2026-07-05T08:16:52Z","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":"45a76d7d045dc378bbbbc171259bd11c3ac8e6824f048f1e23ca951bef635bef","cross_cats_sorted":["cs.AI","cs.LG","cs.NE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-05-07T23:43:46Z","title_canon_sha256":"65dfb7bd12642a9d5ac5ad76889738fc4c511292b9430656c44d60bd2428b9c5"},"schema_version":"1.0","source":{"id":"2405.04716","kind":"arxiv","version":1}},"canonical_sha256":"d2ecb0f20d758d96a3b4dfc2320bc74fd46c1e39c2d62077e8229ffe4e51f9cf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2ecb0f20d758d96a3b4dfc2320bc74fd46c1e39c2d62077e8229ffe4e51f9cf","first_computed_at":"2026-07-05T08:16:52.968416Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:52.968416Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bCaecRnWU0E9yAa4hJw4vdigwJi+NhlB5KCoRIrvvTGA7GAScDOTG5w/SmFqtaBsI+oWuApxegKunQrjHqw9BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:52.968983Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.04716","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d932e115e1e819df21c10a804e8856a46291f0bd8b55b4f08a3c6761807ea6b0","sha256:855ce3dc794e12f6dcbd3a6da92474cefa04b9db2bac2702507f0ff9b59870d7"],"state_sha256":"80a7741ed45fe20f8761216dbfd81031965fc6d829a36794c21895415986bd8e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6iT8itA2uGtWNFwcttn4QTNijxRluDWWtmDJMf/SucRBv52kgUP3u1o6zseiyaZmqN6rwQ39kfGLHmj0SR2OAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:32:52.801276Z","bundle_sha256":"26676f1dc26cc00efb72103cd1a2c0c6aecec46afd67f42140dc3abdd7590868"}}