{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7565KG23BZJGBI6DB42R3X5BLG","short_pith_number":"pith:7565KG23","canonical_record":{"source":{"id":"2405.08293","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T03:27:15Z","cross_cats_sorted":[],"title_canon_sha256":"32d6757aab1f21ec1366e51226e18723ecfd9e88320064094ab1c4f388389270","abstract_canon_sha256":"1b17e4131f9ea03f9440b9d70eaef67e7da9b716b25ed37194cb9b956e726bbe"},"schema_version":"1.0"},"canonical_sha256":"ff7dd51b5b0e5260a3c30f351ddfa159bc0b67c9da57bd812325f9957de1730f","source":{"kind":"arxiv","id":"2405.08293","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08293","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08293v3","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08293","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"pith_short_12","alias_value":"7565KG23BZJG","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"pith_short_16","alias_value":"7565KG23BZJGBI6D","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"pith_short_8","alias_value":"7565KG23","created_at":"2026-07-05T09:16:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7565KG23BZJGBI6DB42R3X5BLG","target":"record","payload":{"canonical_record":{"source":{"id":"2405.08293","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T03:27:15Z","cross_cats_sorted":[],"title_canon_sha256":"32d6757aab1f21ec1366e51226e18723ecfd9e88320064094ab1c4f388389270","abstract_canon_sha256":"1b17e4131f9ea03f9440b9d70eaef67e7da9b716b25ed37194cb9b956e726bbe"},"schema_version":"1.0"},"canonical_sha256":"ff7dd51b5b0e5260a3c30f351ddfa159bc0b67c9da57bd812325f9957de1730f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:16:49.061538Z","signature_b64":"P6L5glpA/rWXbDo2IJEjjp6v6bfYweJorCfEyEtI/ckVk7695ed60AQkqemBqvKzSEXMNBo/JyiqF9RHSoEXBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff7dd51b5b0e5260a3c30f351ddfa159bc0b67c9da57bd812325f9957de1730f","last_reissued_at":"2026-07-05T09:16:49.061063Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:16:49.061063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.08293","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:16:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bmI3SfYTwW3iqeLcsUopORp24PN7zlkDeBnrkzMvXRsdgVxT1BYq8d0p3tM/IyQ1wIc87U/xXzhCaKxfZkVFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:31:53.087050Z"},"content_sha256":"53cfe654ccc6f3e16503a2b9ef968cdfe547bfd92ee46cb2e6f436b480636bdf","schema_version":"1.0","event_id":"sha256:53cfe654ccc6f3e16503a2b9ef968cdfe547bfd92ee46cb2e6f436b480636bdf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7565KG23BZJGBI6DB42R3X5BLG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Airport Delay Prediction with Temporal Fusion Transformers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Binze Cai, Chen Zhu, Guanhao Xu, Hui Lin, Jianan Chen, Jilin Song, Kaijing Ding, Ke Liu, Siyuan Feng, Tong Liu, Xi Cheng, Xin Hu","submitted_at":"2024-05-14T03:27:15Z","abstract_excerpt":"Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been attempted by various previous research. However, previous delay predictions are often categorical and at a highly aggregated level. To improve that, this study proposes to apply the novel Temporal Fusion Transformer model and predict numerical airport arrival delays at quarter hour level for U.S. top 30 airports. Inputs to our model include airport demand and capacity forecasts, historic airport operation efficiency i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08293","kind":"arxiv","version":3},"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/2405.08293/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":"2026-07-05T09:16:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4ay+jCoAQPIWUwpaAs8SYdi2qpP82q1l21hbfWZqPbQNgpyewI6zITGJUntI3NY7f5xGGoTVbwKh9BxO7GqNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T00:31:53.087625Z"},"content_sha256":"aa5525ab118573f21b33804cd5ceae91febcb8f2ce5aa2b3b7b6479223cb1e63","schema_version":"1.0","event_id":"sha256:aa5525ab118573f21b33804cd5ceae91febcb8f2ce5aa2b3b7b6479223cb1e63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7565KG23BZJGBI6DB42R3X5BLG/bundle.json","state_url":"https://pith.science/pith/7565KG23BZJGBI6DB42R3X5BLG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7565KG23BZJGBI6DB42R3X5BLG/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":"2026-08-07T00:31:53Z","links":{"resolver":"https://pith.science/pith/7565KG23BZJGBI6DB42R3X5BLG","bundle":"https://pith.science/pith/7565KG23BZJGBI6DB42R3X5BLG/bundle.json","state":"https://pith.science/pith/7565KG23BZJGBI6DB42R3X5BLG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7565KG23BZJGBI6DB42R3X5BLG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7565KG23BZJGBI6DB42R3X5BLG","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":"1b17e4131f9ea03f9440b9d70eaef67e7da9b716b25ed37194cb9b956e726bbe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T03:27:15Z","title_canon_sha256":"32d6757aab1f21ec1366e51226e18723ecfd9e88320064094ab1c4f388389270"},"schema_version":"1.0","source":{"id":"2405.08293","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08293","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08293v3","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08293","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"pith_short_12","alias_value":"7565KG23BZJG","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"pith_short_16","alias_value":"7565KG23BZJGBI6D","created_at":"2026-07-05T09:16:49Z"},{"alias_kind":"pith_short_8","alias_value":"7565KG23","created_at":"2026-07-05T09:16:49Z"}],"graph_snapshots":[{"event_id":"sha256:aa5525ab118573f21b33804cd5ceae91febcb8f2ce5aa2b3b7b6479223cb1e63","target":"graph","created_at":"2026-07-05T09:16:49Z","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/2405.08293/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Since flight delay hurts passengers, airlines, and airports, its prediction becomes crucial for the decision-making of all stakeholders in the aviation industry and thus has been attempted by various previous research. However, previous delay predictions are often categorical and at a highly aggregated level. To improve that, this study proposes to apply the novel Temporal Fusion Transformer model and predict numerical airport arrival delays at quarter hour level for U.S. top 30 airports. Inputs to our model include airport demand and capacity forecasts, historic airport operation efficiency i","authors_text":"Binze Cai, Chen Zhu, Guanhao Xu, Hui Lin, Jianan Chen, Jilin Song, Kaijing Ding, Ke Liu, Siyuan Feng, Tong Liu, Xi Cheng, Xin Hu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T03:27:15Z","title":"Airport Delay Prediction with Temporal Fusion Transformers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08293","kind":"arxiv","version":3},"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":"sha256:53cfe654ccc6f3e16503a2b9ef968cdfe547bfd92ee46cb2e6f436b480636bdf","target":"record","created_at":"2026-07-05T09:16:49Z","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":"1b17e4131f9ea03f9440b9d70eaef67e7da9b716b25ed37194cb9b956e726bbe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T03:27:15Z","title_canon_sha256":"32d6757aab1f21ec1366e51226e18723ecfd9e88320064094ab1c4f388389270"},"schema_version":"1.0","source":{"id":"2405.08293","kind":"arxiv","version":3}},"canonical_sha256":"ff7dd51b5b0e5260a3c30f351ddfa159bc0b67c9da57bd812325f9957de1730f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff7dd51b5b0e5260a3c30f351ddfa159bc0b67c9da57bd812325f9957de1730f","first_computed_at":"2026-07-05T09:16:49.061063Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:16:49.061063Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"P6L5glpA/rWXbDo2IJEjjp6v6bfYweJorCfEyEtI/ckVk7695ed60AQkqemBqvKzSEXMNBo/JyiqF9RHSoEXBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:16:49.061538Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.08293","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53cfe654ccc6f3e16503a2b9ef968cdfe547bfd92ee46cb2e6f436b480636bdf","sha256:aa5525ab118573f21b33804cd5ceae91febcb8f2ce5aa2b3b7b6479223cb1e63"],"state_sha256":"4f5a5c81e4bdcf7257976e35c6cdd1e0e49c2388ccc6757ca02eee985ee7dfd2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TxJRQiP0whngKwGKvw5pB/va9vQFQenJ1jGz9GOFRQr2ewIwKduojEw+Kz+RG9467sYpRs2MbsdU0IejX1V0Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T00:31:53.092818Z","bundle_sha256":"5bb3462b02997183f78dbceb962b3aacfc0afbd7c1085c2f8537824b06462585"}}