{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UK4AAZXGIPVILSZQL24XA7XCZZ","short_pith_number":"pith:UK4AAZXG","canonical_record":{"source":{"id":"2505.13047","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-19T12:36:12Z","cross_cats_sorted":[],"title_canon_sha256":"ce914669b85393356fc20ec4c034d324c9c4e4a20eaac621dc0794e6037d2e7e","abstract_canon_sha256":"09e401840c522c334d2ea9c65f7bf6b96c9020f9f59ca52b144bc710d509e36b"},"schema_version":"1.0"},"canonical_sha256":"a2b80066e643ea85cb305eb9707ee2ce450ddb0f2cc544329356b33c3986a527","source":{"kind":"arxiv","id":"2505.13047","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13047","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13047v2","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13047","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"UK4AAZXGIPVI","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"UK4AAZXGIPVILSZQ","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"UK4AAZXG","created_at":"2026-07-05T11:20:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UK4AAZXGIPVILSZQL24XA7XCZZ","target":"record","payload":{"canonical_record":{"source":{"id":"2505.13047","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-19T12:36:12Z","cross_cats_sorted":[],"title_canon_sha256":"ce914669b85393356fc20ec4c034d324c9c4e4a20eaac621dc0794e6037d2e7e","abstract_canon_sha256":"09e401840c522c334d2ea9c65f7bf6b96c9020f9f59ca52b144bc710d509e36b"},"schema_version":"1.0"},"canonical_sha256":"a2b80066e643ea85cb305eb9707ee2ce450ddb0f2cc544329356b33c3986a527","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:20:54.083839Z","signature_b64":"eoYw1y8/Y14ahMtN6clN/PMBd7PhFcYA/9PX7TQnteZSC4Vzwfwu6dQHavHmy3uN0aM6QFf0/t+H07JH7i+tBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2b80066e643ea85cb305eb9707ee2ce450ddb0f2cc544329356b33c3986a527","last_reissued_at":"2026-07-05T11:20:54.083361Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:20:54.083361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.13047","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:20:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y7377jcsRXWYVEm1o+DBL/ZRcMq1qDQ3IzpChNXNx3zw2ZlT+bszENb+CrqJ3bSd6cpsTEebVvHZ3BFfHMnCAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T17:07:54.816476Z"},"content_sha256":"29cb64ee3dc445c95b24664f73b53276cad8b8eb5dcc33d9182be845bbcd60ec","schema_version":"1.0","event_id":"sha256:29cb64ee3dc445c95b24664f73b53276cad8b8eb5dcc33d9182be845bbcd60ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UK4AAZXGIPVILSZQL24XA7XCZZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Cheng Wang, Hongrui Kou, Jingkai Li, Yuxin Zhang, Zhouhang Lv, Ziyu Wang","submitted_at":"2025-05-19T12:36:12Z","abstract_excerpt":"Accurate prediction of traffic flow parameters and real time identification of congestion states are essential for the efficient operation of intelligent transportation systems. This paper proposes a Periodic Pattern Transformer Network (PPTNet) for traffic flow prediction, integrating periodic pattern extraction with the Transformer architecture, coupled with a fuzzy inference method for real-time congestion identification. Firstly, a high-precision traffic flow dataset (Traffic Flow Dataset for China's Congested Highways and Expressways, TF4CHE) suitable for congested highway scenarios in Ch"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13047","kind":"arxiv","version":2},"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/2505.13047/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":"2026-07-05T11:20:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DCS4tpyKvlKAyEmbOFmpaw0EXFrzKuC2xTNo1c8N8xnjSpwlKueYwoRn1TuLWNTfGADlI9IxcYpNTvXDq2joBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T17:07:54.816847Z"},"content_sha256":"2c3d10204026cbaf6fcbdc58ed29a204ee13774afa430881fb3d085823b01447","schema_version":"1.0","event_id":"sha256:2c3d10204026cbaf6fcbdc58ed29a204ee13774afa430881fb3d085823b01447"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UK4AAZXGIPVILSZQL24XA7XCZZ/bundle.json","state_url":"https://pith.science/pith/UK4AAZXGIPVILSZQL24XA7XCZZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UK4AAZXGIPVILSZQL24XA7XCZZ/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":"2026-08-17T17:07:54Z","links":{"resolver":"https://pith.science/pith/UK4AAZXGIPVILSZQL24XA7XCZZ","bundle":"https://pith.science/pith/UK4AAZXGIPVILSZQL24XA7XCZZ/bundle.json","state":"https://pith.science/pith/UK4AAZXGIPVILSZQL24XA7XCZZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UK4AAZXGIPVILSZQL24XA7XCZZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UK4AAZXGIPVILSZQL24XA7XCZZ","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":"09e401840c522c334d2ea9c65f7bf6b96c9020f9f59ca52b144bc710d509e36b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-19T12:36:12Z","title_canon_sha256":"ce914669b85393356fc20ec4c034d324c9c4e4a20eaac621dc0794e6037d2e7e"},"schema_version":"1.0","source":{"id":"2505.13047","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.13047","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"arxiv_version","alias_value":"2505.13047v2","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.13047","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"pith_short_12","alias_value":"UK4AAZXGIPVI","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"pith_short_16","alias_value":"UK4AAZXGIPVILSZQ","created_at":"2026-07-05T11:20:54Z"},{"alias_kind":"pith_short_8","alias_value":"UK4AAZXG","created_at":"2026-07-05T11:20:54Z"}],"graph_snapshots":[{"event_id":"sha256:2c3d10204026cbaf6fcbdc58ed29a204ee13774afa430881fb3d085823b01447","target":"graph","created_at":"2026-07-05T11:20:54Z","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/2505.13047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate prediction of traffic flow parameters and real time identification of congestion states are essential for the efficient operation of intelligent transportation systems. This paper proposes a Periodic Pattern Transformer Network (PPTNet) for traffic flow prediction, integrating periodic pattern extraction with the Transformer architecture, coupled with a fuzzy inference method for real-time congestion identification. Firstly, a high-precision traffic flow dataset (Traffic Flow Dataset for China's Congested Highways and Expressways, TF4CHE) suitable for congested highway scenarios in Ch","authors_text":"Cheng Wang, Hongrui Kou, Jingkai Li, Yuxin Zhang, Zhouhang Lv, Ziyu Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-19T12:36:12Z","title":"PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.13047","kind":"arxiv","version":2},"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":"sha256:29cb64ee3dc445c95b24664f73b53276cad8b8eb5dcc33d9182be845bbcd60ec","target":"record","created_at":"2026-07-05T11:20:54Z","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":"09e401840c522c334d2ea9c65f7bf6b96c9020f9f59ca52b144bc710d509e36b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-19T12:36:12Z","title_canon_sha256":"ce914669b85393356fc20ec4c034d324c9c4e4a20eaac621dc0794e6037d2e7e"},"schema_version":"1.0","source":{"id":"2505.13047","kind":"arxiv","version":2}},"canonical_sha256":"a2b80066e643ea85cb305eb9707ee2ce450ddb0f2cc544329356b33c3986a527","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2b80066e643ea85cb305eb9707ee2ce450ddb0f2cc544329356b33c3986a527","first_computed_at":"2026-07-05T11:20:54.083361Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:20:54.083361Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eoYw1y8/Y14ahMtN6clN/PMBd7PhFcYA/9PX7TQnteZSC4Vzwfwu6dQHavHmy3uN0aM6QFf0/t+H07JH7i+tBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:20:54.083839Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.13047","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29cb64ee3dc445c95b24664f73b53276cad8b8eb5dcc33d9182be845bbcd60ec","sha256:2c3d10204026cbaf6fcbdc58ed29a204ee13774afa430881fb3d085823b01447"],"state_sha256":"1e26855d186dcefadbbe4338b2fb3a659f270c6cdfd757b9d3d2d7f17a1b9da3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4zdiRgdbpHcliXioyiUfAIFXN8aY9+Na+ZJk7wTy1JbPQr6RvF65+LHglWNABXMgF4Di4i8E2k63DA6RxXnLCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T17:07:54.819294Z","bundle_sha256":"856d9fc906e8a827bbf0d8e4cdd9880b89dbcbe481bd860802eb1e363f160485"}}