{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:G2KJRSBRPJZNRPIQ6CU7QDFLNZ","short_pith_number":"pith:G2KJRSBR","canonical_record":{"source":{"id":"2105.05504","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-12T08:28:12Z","cross_cats_sorted":[],"title_canon_sha256":"58f7adacbe92b8b7aa8639946a7aa87777066973fd35be3968b5873350f9ef56","abstract_canon_sha256":"86558606a9269a1d347282fd13d24d438676fc9426d4c49a66d4bd92b777653c"},"schema_version":"1.0"},"canonical_sha256":"369498c8317a72d8bd10f0a9f80cab6e736459c2630ee71ef304cccab11f5f7f","source":{"kind":"arxiv","id":"2105.05504","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.05504","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"arxiv_version","alias_value":"2105.05504v1","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.05504","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"pith_short_12","alias_value":"G2KJRSBRPJZN","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"pith_short_16","alias_value":"G2KJRSBRPJZNRPIQ","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"pith_short_8","alias_value":"G2KJRSBR","created_at":"2026-07-05T04:46:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:G2KJRSBRPJZNRPIQ6CU7QDFLNZ","target":"record","payload":{"canonical_record":{"source":{"id":"2105.05504","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-12T08:28:12Z","cross_cats_sorted":[],"title_canon_sha256":"58f7adacbe92b8b7aa8639946a7aa87777066973fd35be3968b5873350f9ef56","abstract_canon_sha256":"86558606a9269a1d347282fd13d24d438676fc9426d4c49a66d4bd92b777653c"},"schema_version":"1.0"},"canonical_sha256":"369498c8317a72d8bd10f0a9f80cab6e736459c2630ee71ef304cccab11f5f7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:46:51.318581Z","signature_b64":"Cw7mEmJNFvuOi185zQ53664GoaHe8SY/twqb9j/Ws41vj1MpsAHS5xhvkLUh43mF+feBinZZG++7xPn3S4qmCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"369498c8317a72d8bd10f0a9f80cab6e736459c2630ee71ef304cccab11f5f7f","last_reissued_at":"2026-07-05T04:46:51.317957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:46:51.317957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2105.05504","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":"2026-07-05T04:46:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F9dVuncfmA+P0HqeoGG+bDv/mChuOjcYAA0YKrTa/0cCdHji7aKyGKDZGNUPZ2gstmV74rwRZ0botCDWBO2ZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:19:04.648212Z"},"content_sha256":"20ff895f38956b485594672003cfe5d272d9331cbb2a173f8c7daab7ace16399","schema_version":"1.0","event_id":"sha256:20ff895f38956b485594672003cfe5d272d9331cbb2a173f8c7daab7ace16399"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:G2KJRSBRPJZNRPIQ6CU7QDFLNZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Empirical Experiment on Deep Learning Models for Predicting Traffic Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Cheonbok Park, Hyeshin Chu, Hyunwook Lee, Jaegul Choo, Seungmin Jin, Sungahn Ko","submitted_at":"2021-05-12T08:28:12Z","abstract_excerpt":"To tackle ever-increasing city traffic congestion problems, researchers have proposed deep learning models to aid decision-makers in the traffic control domain. Although the proposed models have been remarkably improved in recent years, there are still questions that need to be answered before deploying models. For example, it is difficult to figure out which models provide state-of-the-art performance, as recently proposed models have often been evaluated with different datasets and experiment environments. It is also difficult to determine which models would work when traffic conditions chan"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.05504","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/2105.05504/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":"2026-07-05T04:46:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rqq6KgdPv+8xt8NIuox6Qv3ZsBzmHIVNGBuNBHSl2CeXGr2v6V/g7zscd2ZvJvz2xlIWcfCtNrfgaxy16Qb7Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T00:19:04.648521Z"},"content_sha256":"1f99bba3c14e6bb4e9a97442519d5b1dcca12b555791238888a98b3d8ed277db","schema_version":"1.0","event_id":"sha256:1f99bba3c14e6bb4e9a97442519d5b1dcca12b555791238888a98b3d8ed277db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ/bundle.json","state_url":"https://pith.science/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ/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":"2026-08-15T00:19:04Z","links":{"resolver":"https://pith.science/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ","bundle":"https://pith.science/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ/bundle.json","state":"https://pith.science/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G2KJRSBRPJZNRPIQ6CU7QDFLNZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:G2KJRSBRPJZNRPIQ6CU7QDFLNZ","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":"86558606a9269a1d347282fd13d24d438676fc9426d4c49a66d4bd92b777653c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-12T08:28:12Z","title_canon_sha256":"58f7adacbe92b8b7aa8639946a7aa87777066973fd35be3968b5873350f9ef56"},"schema_version":"1.0","source":{"id":"2105.05504","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.05504","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"arxiv_version","alias_value":"2105.05504v1","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.05504","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"pith_short_12","alias_value":"G2KJRSBRPJZN","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"pith_short_16","alias_value":"G2KJRSBRPJZNRPIQ","created_at":"2026-07-05T04:46:51Z"},{"alias_kind":"pith_short_8","alias_value":"G2KJRSBR","created_at":"2026-07-05T04:46:51Z"}],"graph_snapshots":[{"event_id":"sha256:1f99bba3c14e6bb4e9a97442519d5b1dcca12b555791238888a98b3d8ed277db","target":"graph","created_at":"2026-07-05T04:46:51Z","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/2105.05504/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To tackle ever-increasing city traffic congestion problems, researchers have proposed deep learning models to aid decision-makers in the traffic control domain. Although the proposed models have been remarkably improved in recent years, there are still questions that need to be answered before deploying models. For example, it is difficult to figure out which models provide state-of-the-art performance, as recently proposed models have often been evaluated with different datasets and experiment environments. It is also difficult to determine which models would work when traffic conditions chan","authors_text":"Cheonbok Park, Hyeshin Chu, Hyunwook Lee, Jaegul Choo, Seungmin Jin, Sungahn Ko","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-12T08:28:12Z","title":"An Empirical Experiment on Deep Learning Models for Predicting Traffic Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.05504","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":"sha256:20ff895f38956b485594672003cfe5d272d9331cbb2a173f8c7daab7ace16399","target":"record","created_at":"2026-07-05T04:46:51Z","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":"86558606a9269a1d347282fd13d24d438676fc9426d4c49a66d4bd92b777653c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-05-12T08:28:12Z","title_canon_sha256":"58f7adacbe92b8b7aa8639946a7aa87777066973fd35be3968b5873350f9ef56"},"schema_version":"1.0","source":{"id":"2105.05504","kind":"arxiv","version":1}},"canonical_sha256":"369498c8317a72d8bd10f0a9f80cab6e736459c2630ee71ef304cccab11f5f7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"369498c8317a72d8bd10f0a9f80cab6e736459c2630ee71ef304cccab11f5f7f","first_computed_at":"2026-07-05T04:46:51.317957Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:46:51.317957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Cw7mEmJNFvuOi185zQ53664GoaHe8SY/twqb9j/Ws41vj1MpsAHS5xhvkLUh43mF+feBinZZG++7xPn3S4qmCA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:46:51.318581Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.05504","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:20ff895f38956b485594672003cfe5d272d9331cbb2a173f8c7daab7ace16399","sha256:1f99bba3c14e6bb4e9a97442519d5b1dcca12b555791238888a98b3d8ed277db"],"state_sha256":"e005b3a7130a6178570f8303a84f9aba15799d8fd260723fb50f158a1e64e13e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P96nd3fq062bOdtrdcRndv/71p48q9NGcG4kvzNr0zXXXJJHk8INHpWp7HIC5BCBqBk27EgUolbagiDd403vBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T00:19:04.651491Z","bundle_sha256":"f5f7bec725dbf1f5a1f23792311b43830ea96b264ea13354ba49509211c69e1a"}}