{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TJ3B26FEH3S6BNVSCOSHYTUCWR","short_pith_number":"pith:TJ3B26FE","canonical_record":{"source":{"id":"2309.06719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-09-13T04:47:43Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"07242de573521285cef4b7a2a1f7f092f234a45b8f2a3c427f99b1e3b30af3fa","abstract_canon_sha256":"c88db1907278cd7b0ee06ba9cf3a58a532cf3a8fa09028a16a06c824112ca3d2"},"schema_version":"1.0"},"canonical_sha256":"9a761d78a43ee5e0b6b213a47c4e82b463cc31a44c7ec9a3147eeb85795d2ca8","source":{"kind":"arxiv","id":"2309.06719","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06719","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06719v1","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06719","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"pith_short_12","alias_value":"TJ3B26FEH3S6","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"pith_short_16","alias_value":"TJ3B26FEH3S6BNVS","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"pith_short_8","alias_value":"TJ3B26FE","created_at":"2026-07-05T06:50:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TJ3B26FEH3S6BNVSCOSHYTUCWR","target":"record","payload":{"canonical_record":{"source":{"id":"2309.06719","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-09-13T04:47:43Z","cross_cats_sorted":["cs.HC"],"title_canon_sha256":"07242de573521285cef4b7a2a1f7f092f234a45b8f2a3c427f99b1e3b30af3fa","abstract_canon_sha256":"c88db1907278cd7b0ee06ba9cf3a58a532cf3a8fa09028a16a06c824112ca3d2"},"schema_version":"1.0"},"canonical_sha256":"9a761d78a43ee5e0b6b213a47c4e82b463cc31a44c7ec9a3147eeb85795d2ca8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:50:21.610059Z","signature_b64":"aXtem+QYymbXdWFQ4zxc/RSiMYC5mT55Jtt1U2PQhO2W6nL4aKzGQuqxL2U+fB8JtnLAzT6y3VtsGGqZp56AAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a761d78a43ee5e0b6b213a47c4e82b463cc31a44c7ec9a3147eeb85795d2ca8","last_reissued_at":"2026-07-05T06:50:21.609550Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:50:21.609550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2309.06719","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":"2026-07-05T06:50:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A2JbQaOyy86UrwPz5gDJPD2QC1s1S7lsK7dDbP2FC72tWnq73dS3t86K12blCUuv1QpLJbelC0lU/oZXur/ZCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T02:11:06.408659Z"},"content_sha256":"9d46731ee4d334dbd4584d63431d8b6add25999e43681970333875cd73f85645","schema_version":"1.0","event_id":"sha256:9d46731ee4d334dbd4584d63431d8b6add25999e43681970333875cd73f85645"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TJ3B26FEH3S6BNVSCOSHYTUCWR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.HC"],"primary_cat":"cs.AI","authors_text":"Bin Yu, Daocheng Fu, Pinlong Cai, Siyao Zhang, Zhao Zhang","submitted_at":"2023-09-13T04:47:43Z","abstract_excerpt":"With the promotion of chatgpt to the public, Large language models indeed showcase remarkable common sense, reasoning, and planning skills, frequently providing insightful guidance. These capabilities hold significant promise for their application in urban traffic management and control. However, LLMs struggle with addressing traffic issues, especially processing numerical data and interacting with simulations, limiting their potential in solving traffic-related challenges. In parallel, specialized traffic foundation models exist but are typically designed for specific tasks with limited input"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06719","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/2309.06719/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":"2026-07-05T06:50:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5ys4CtCsEayLCsJm3tmg1UViUv6V3hcU9LRhca4v41vr99fCkrKaHwGFhVvBelnXtwErs4Pa4D3H11TfuyVUDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T02:11:06.409032Z"},"content_sha256":"7503f1bc09cb02f6897b5b9b5a65fd507e890bac8367815f0603315854a05c47","schema_version":"1.0","event_id":"sha256:7503f1bc09cb02f6897b5b9b5a65fd507e890bac8367815f0603315854a05c47"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR/bundle.json","state_url":"https://pith.science/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR/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":"2026-07-17T02:11:06Z","links":{"resolver":"https://pith.science/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR","bundle":"https://pith.science/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR/bundle.json","state":"https://pith.science/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJ3B26FEH3S6BNVSCOSHYTUCWR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TJ3B26FEH3S6BNVSCOSHYTUCWR","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":"c88db1907278cd7b0ee06ba9cf3a58a532cf3a8fa09028a16a06c824112ca3d2","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-09-13T04:47:43Z","title_canon_sha256":"07242de573521285cef4b7a2a1f7f092f234a45b8f2a3c427f99b1e3b30af3fa"},"schema_version":"1.0","source":{"id":"2309.06719","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2309.06719","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"arxiv_version","alias_value":"2309.06719v1","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2309.06719","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"pith_short_12","alias_value":"TJ3B26FEH3S6","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"pith_short_16","alias_value":"TJ3B26FEH3S6BNVS","created_at":"2026-07-05T06:50:21Z"},{"alias_kind":"pith_short_8","alias_value":"TJ3B26FE","created_at":"2026-07-05T06:50:21Z"}],"graph_snapshots":[{"event_id":"sha256:7503f1bc09cb02f6897b5b9b5a65fd507e890bac8367815f0603315854a05c47","target":"graph","created_at":"2026-07-05T06:50:21Z","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/2309.06719/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the promotion of chatgpt to the public, Large language models indeed showcase remarkable common sense, reasoning, and planning skills, frequently providing insightful guidance. These capabilities hold significant promise for their application in urban traffic management and control. However, LLMs struggle with addressing traffic issues, especially processing numerical data and interacting with simulations, limiting their potential in solving traffic-related challenges. In parallel, specialized traffic foundation models exist but are typically designed for specific tasks with limited input","authors_text":"Bin Yu, Daocheng Fu, Pinlong Cai, Siyao Zhang, Zhao Zhang","cross_cats":["cs.HC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-09-13T04:47:43Z","title":"TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2309.06719","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":"sha256:9d46731ee4d334dbd4584d63431d8b6add25999e43681970333875cd73f85645","target":"record","created_at":"2026-07-05T06:50:21Z","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":"c88db1907278cd7b0ee06ba9cf3a58a532cf3a8fa09028a16a06c824112ca3d2","cross_cats_sorted":["cs.HC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-09-13T04:47:43Z","title_canon_sha256":"07242de573521285cef4b7a2a1f7f092f234a45b8f2a3c427f99b1e3b30af3fa"},"schema_version":"1.0","source":{"id":"2309.06719","kind":"arxiv","version":1}},"canonical_sha256":"9a761d78a43ee5e0b6b213a47c4e82b463cc31a44c7ec9a3147eeb85795d2ca8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a761d78a43ee5e0b6b213a47c4e82b463cc31a44c7ec9a3147eeb85795d2ca8","first_computed_at":"2026-07-05T06:50:21.609550Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:50:21.609550Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aXtem+QYymbXdWFQ4zxc/RSiMYC5mT55Jtt1U2PQhO2W6nL4aKzGQuqxL2U+fB8JtnLAzT6y3VtsGGqZp56AAw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:50:21.610059Z","signed_message":"canonical_sha256_bytes"},"source_id":"2309.06719","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9d46731ee4d334dbd4584d63431d8b6add25999e43681970333875cd73f85645","sha256:7503f1bc09cb02f6897b5b9b5a65fd507e890bac8367815f0603315854a05c47"],"state_sha256":"deb51778ada1d4f7991f9a4a11326b622d62163a666fa0bc160e9f9abe3251b9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a7c1wRsu8GsWFrtMWNLeKGsgiY1IYEMNVLY5uyPRIAmiWhJqrslD5/ap9dzSMZy/sm6C69RCHwWoPMm/xQc/Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T02:11:06.411403Z","bundle_sha256":"b8e35dd704e0a0a83af047af0826870d3f86bfaf5a643e126ded33981169cba0"}}