{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7CNTIV4W5A4YUH67HFRTTX33S4","short_pith_number":"pith:7CNTIV4W","canonical_record":{"source":{"id":"2506.03548","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T04:08:11Z","cross_cats_sorted":[],"title_canon_sha256":"7b7596ac867586e68133c5c42c8c808866920d9a6c2a29a2a013cc7239e44ef6","abstract_canon_sha256":"4e56a2c85d721fe75f66041b19e96ca4d18ac367864b0c23aa652239d0f47ba8"},"schema_version":"1.0"},"canonical_sha256":"f89b345796e8398a1fdf396339df7b9705d7dd1cdc547621a9401e3442ee92d3","source":{"kind":"arxiv","id":"2506.03548","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03548","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03548v1","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03548","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"7CNTIV4W5A4Y","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"7CNTIV4W5A4YUH67","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"7CNTIV4W","created_at":"2026-07-05T11:15:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7CNTIV4W5A4YUH67HFRTTX33S4","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03548","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T04:08:11Z","cross_cats_sorted":[],"title_canon_sha256":"7b7596ac867586e68133c5c42c8c808866920d9a6c2a29a2a013cc7239e44ef6","abstract_canon_sha256":"4e56a2c85d721fe75f66041b19e96ca4d18ac367864b0c23aa652239d0f47ba8"},"schema_version":"1.0"},"canonical_sha256":"f89b345796e8398a1fdf396339df7b9705d7dd1cdc547621a9401e3442ee92d3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:29.481664Z","signature_b64":"Chvw+PfNu3WtDZ7MeXLie9nJz1txB+UouFPn9Wecbe+UJiMugq4D/xvMKP1V6+/KwxPmD9uNhnK3BGnHzlhzCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f89b345796e8398a1fdf396339df7b9705d7dd1cdc547621a9401e3442ee92d3","last_reissued_at":"2026-07-05T11:15:29.481162Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:29.481162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03548","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":"2026-07-05T11:15:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GDDgd4K63TKJqLqyO0xj/jqsXlLBi8mMuDQMe9H6+1+EbRwLseZMuISPgglpXcp5+9rgOlJPuCWR4L8WPxqCCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:05:19.545190Z"},"content_sha256":"977f75ee7983945f0d52e1005c84d513ebf5c644a52bfbff6450371e460f4f00","schema_version":"1.0","event_id":"sha256:977f75ee7983945f0d52e1005c84d513ebf5c644a52bfbff6450371e460f4f00"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7CNTIV4W5A4YUH67HFRTTX33S4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Chenglong Ye, Gang Xiong, Junyou Shang, Xiaoyan Gong, Xingyuan Dai, Yisheng Lv","submitted_at":"2025-06-04T04:08:11Z","abstract_excerpt":"Traffic simulation tools, such as SUMO, are essential for urban mobility research. However, such tools remain challenging for users due to complex manual workflows involving network download, demand generation, simulation setup, and result analysis. In this paper, we introduce SUMO-MCP, a novel platform that not only wraps SUMO' s core utilities into a unified tool suite but also provides additional auxiliary utilities for common preprocessing and postprocessing tasks. Using SUMO-MCP, users can issue simple natural-language prompts to generate traffic scenarios from OpenStreetMap data, create "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03548","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/2506.03548/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":"2026-07-05T11:15:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hVUDL2r/M7z2657l9wTEJIYg4MpPbMFdpuopxChzTsACeWxOPIsYMxt9519WdymtK5pms7+lCXGvKrA5sS19Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:05:19.545757Z"},"content_sha256":"5fb3c05d2a1c53ccb0df04d815ee4339730f40d3d28474417687a4f257d9ae63","schema_version":"1.0","event_id":"sha256:5fb3c05d2a1c53ccb0df04d815ee4339730f40d3d28474417687a4f257d9ae63"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7CNTIV4W5A4YUH67HFRTTX33S4/bundle.json","state_url":"https://pith.science/pith/7CNTIV4W5A4YUH67HFRTTX33S4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7CNTIV4W5A4YUH67HFRTTX33S4/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":"2026-08-09T18:05:19Z","links":{"resolver":"https://pith.science/pith/7CNTIV4W5A4YUH67HFRTTX33S4","bundle":"https://pith.science/pith/7CNTIV4W5A4YUH67HFRTTX33S4/bundle.json","state":"https://pith.science/pith/7CNTIV4W5A4YUH67HFRTTX33S4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7CNTIV4W5A4YUH67HFRTTX33S4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7CNTIV4W5A4YUH67HFRTTX33S4","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":"4e56a2c85d721fe75f66041b19e96ca4d18ac367864b0c23aa652239d0f47ba8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T04:08:11Z","title_canon_sha256":"7b7596ac867586e68133c5c42c8c808866920d9a6c2a29a2a013cc7239e44ef6"},"schema_version":"1.0","source":{"id":"2506.03548","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03548","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03548v1","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03548","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"pith_short_12","alias_value":"7CNTIV4W5A4Y","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"pith_short_16","alias_value":"7CNTIV4W5A4YUH67","created_at":"2026-07-05T11:15:29Z"},{"alias_kind":"pith_short_8","alias_value":"7CNTIV4W","created_at":"2026-07-05T11:15:29Z"}],"graph_snapshots":[{"event_id":"sha256:5fb3c05d2a1c53ccb0df04d815ee4339730f40d3d28474417687a4f257d9ae63","target":"graph","created_at":"2026-07-05T11:15:29Z","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/2506.03548/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Traffic simulation tools, such as SUMO, are essential for urban mobility research. However, such tools remain challenging for users due to complex manual workflows involving network download, demand generation, simulation setup, and result analysis. In this paper, we introduce SUMO-MCP, a novel platform that not only wraps SUMO' s core utilities into a unified tool suite but also provides additional auxiliary utilities for common preprocessing and postprocessing tasks. Using SUMO-MCP, users can issue simple natural-language prompts to generate traffic scenarios from OpenStreetMap data, create ","authors_text":"Chenglong Ye, Gang Xiong, Junyou Shang, Xiaoyan Gong, Xingyuan Dai, Yisheng Lv","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T04:08:11Z","title":"SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03548","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":"sha256:977f75ee7983945f0d52e1005c84d513ebf5c644a52bfbff6450371e460f4f00","target":"record","created_at":"2026-07-05T11:15:29Z","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":"4e56a2c85d721fe75f66041b19e96ca4d18ac367864b0c23aa652239d0f47ba8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-04T04:08:11Z","title_canon_sha256":"7b7596ac867586e68133c5c42c8c808866920d9a6c2a29a2a013cc7239e44ef6"},"schema_version":"1.0","source":{"id":"2506.03548","kind":"arxiv","version":1}},"canonical_sha256":"f89b345796e8398a1fdf396339df7b9705d7dd1cdc547621a9401e3442ee92d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f89b345796e8398a1fdf396339df7b9705d7dd1cdc547621a9401e3442ee92d3","first_computed_at":"2026-07-05T11:15:29.481162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:29.481162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Chvw+PfNu3WtDZ7MeXLie9nJz1txB+UouFPn9Wecbe+UJiMugq4D/xvMKP1V6+/KwxPmD9uNhnK3BGnHzlhzCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:29.481664Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03548","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:977f75ee7983945f0d52e1005c84d513ebf5c644a52bfbff6450371e460f4f00","sha256:5fb3c05d2a1c53ccb0df04d815ee4339730f40d3d28474417687a4f257d9ae63"],"state_sha256":"11d31b12fc10b56f9cbb196e17e48bc865ed07b0d22b643c6a8fe2f93ea61dd2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OFK4NQOQtOzB+Pt070UGXKwXXzQZngUO+cKp1aGNRwmDLJ7zSTSuBy0bB6Xnd1hHvipc6ECHT4oW5PQv3QWvBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:05:19.549663Z","bundle_sha256":"75fc71ae4a305b9afea18dba9f0b627b46a46f2776396d3229c400010ecf67c7"}}