{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OKYOQQMAMGCMT6VKRLP4ERQXOY","short_pith_number":"pith:OKYOQQMA","canonical_record":{"source":{"id":"2410.14368","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T10:53:44Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"1c148291e99952413bfdaffadabe0246db9f1c3b251743101707490ec1d388b9","abstract_canon_sha256":"9dcce3682b1cc082c1075eaad66049e8bacd79ff27175cc4750aff26b70ffa42"},"schema_version":"1.0"},"canonical_sha256":"72b0e841806184c9faaa8adfc2461776165b54eb3f3a1c9ca6fb5fee12afa35b","source":{"kind":"arxiv","id":"2410.14368","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14368","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14368v2","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14368","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"pith_short_12","alias_value":"OKYOQQMAMGCM","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"pith_short_16","alias_value":"OKYOQQMAMGCMT6VK","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"pith_short_8","alias_value":"OKYOQQMA","created_at":"2026-07-05T09:58:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OKYOQQMAMGCMT6VKRLP4ERQXOY","target":"record","payload":{"canonical_record":{"source":{"id":"2410.14368","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T10:53:44Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"1c148291e99952413bfdaffadabe0246db9f1c3b251743101707490ec1d388b9","abstract_canon_sha256":"9dcce3682b1cc082c1075eaad66049e8bacd79ff27175cc4750aff26b70ffa42"},"schema_version":"1.0"},"canonical_sha256":"72b0e841806184c9faaa8adfc2461776165b54eb3f3a1c9ca6fb5fee12afa35b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:58:43.468709Z","signature_b64":"befSpnfIOgXZFRj86rs0rWmKbIy4wnJnsNDP7ZVCQkAgcA7V4wdUL0OANZ1GqlU/uOLp2/ZiWk9m8W6ThX+1Aw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"72b0e841806184c9faaa8adfc2461776165b54eb3f3a1c9ca6fb5fee12afa35b","last_reissued_at":"2026-07-05T09:58:43.468258Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:58:43.468258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.14368","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":"2026-07-05T09:58:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jl9c1eNoar67nTFt5En/WqYXYFPrsL56Fj03SayyVujdwzSLzBLSkiUjsNoJVMClan0gZXnsqXDW0PEqkgMQDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:54:38.490267Z"},"content_sha256":"076582407d1d01a4c79d1069722c00433759d4b55c8df2dd17389e91b084e53a","schema_version":"1.0","event_id":"sha256:076582407d1d01a4c79d1069722c00433759d4b55c8df2dd17389e91b084e53a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OKYOQQMAMGCMT6VKRLP4ERQXOY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.AI","authors_text":"Huaiyuan Yao, Hua Wei, Justin Turnau, Linsey Pang, Longchao Da, Vishnu Nandam, Zhiwei Liu","submitted_at":"2024-10-18T10:53:44Z","abstract_excerpt":"The integration of autonomous vehicles into urban traffic has great potential to improve efficiency by reducing congestion and optimizing traffic flow systematically. In this paper, we introduce CoMAL (Collaborative Multi-Agent LLMs), a framework designed to address the mixed-autonomy traffic problem by collaboration among autonomous vehicles to optimize traffic flow. CoMAL is built upon large language models, operating in an interactive traffic simulation environment. It utilizes a Perception Module to observe surrounding agents and a Memory Module to store strategies for each agent. The over"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14368","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/2410.14368/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":"2026-07-05T09:58:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3zW4dpFxej6cEIfKtl5qG9M35WVcmK+ebUsIgUgb5GlI9U0TnP+9tY+BlvVCrLMrEwsXVT/MnSZcmyC9O92NCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:54:38.490804Z"},"content_sha256":"175299e1396857c2bb655bf1a724b4f7609e8fc8623e056ae92f3715aae3c095","schema_version":"1.0","event_id":"sha256:175299e1396857c2bb655bf1a724b4f7609e8fc8623e056ae92f3715aae3c095"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY/bundle.json","state_url":"https://pith.science/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY/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":"2026-08-18T06:54:38Z","links":{"resolver":"https://pith.science/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY","bundle":"https://pith.science/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY/bundle.json","state":"https://pith.science/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OKYOQQMAMGCMT6VKRLP4ERQXOY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OKYOQQMAMGCMT6VKRLP4ERQXOY","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":"9dcce3682b1cc082c1075eaad66049e8bacd79ff27175cc4750aff26b70ffa42","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T10:53:44Z","title_canon_sha256":"1c148291e99952413bfdaffadabe0246db9f1c3b251743101707490ec1d388b9"},"schema_version":"1.0","source":{"id":"2410.14368","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.14368","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"arxiv_version","alias_value":"2410.14368v2","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.14368","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"pith_short_12","alias_value":"OKYOQQMAMGCM","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"pith_short_16","alias_value":"OKYOQQMAMGCMT6VK","created_at":"2026-07-05T09:58:43Z"},{"alias_kind":"pith_short_8","alias_value":"OKYOQQMA","created_at":"2026-07-05T09:58:43Z"}],"graph_snapshots":[{"event_id":"sha256:175299e1396857c2bb655bf1a724b4f7609e8fc8623e056ae92f3715aae3c095","target":"graph","created_at":"2026-07-05T09:58:43Z","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/2410.14368/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of autonomous vehicles into urban traffic has great potential to improve efficiency by reducing congestion and optimizing traffic flow systematically. In this paper, we introduce CoMAL (Collaborative Multi-Agent LLMs), a framework designed to address the mixed-autonomy traffic problem by collaboration among autonomous vehicles to optimize traffic flow. CoMAL is built upon large language models, operating in an interactive traffic simulation environment. It utilizes a Perception Module to observe surrounding agents and a Memory Module to store strategies for each agent. The over","authors_text":"Huaiyuan Yao, Hua Wei, Justin Turnau, Linsey Pang, Longchao Da, Vishnu Nandam, Zhiwei Liu","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T10:53:44Z","title":"CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.14368","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":"sha256:076582407d1d01a4c79d1069722c00433759d4b55c8df2dd17389e91b084e53a","target":"record","created_at":"2026-07-05T09:58:43Z","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":"9dcce3682b1cc082c1075eaad66049e8bacd79ff27175cc4750aff26b70ffa42","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-10-18T10:53:44Z","title_canon_sha256":"1c148291e99952413bfdaffadabe0246db9f1c3b251743101707490ec1d388b9"},"schema_version":"1.0","source":{"id":"2410.14368","kind":"arxiv","version":2}},"canonical_sha256":"72b0e841806184c9faaa8adfc2461776165b54eb3f3a1c9ca6fb5fee12afa35b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"72b0e841806184c9faaa8adfc2461776165b54eb3f3a1c9ca6fb5fee12afa35b","first_computed_at":"2026-07-05T09:58:43.468258Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:58:43.468258Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"befSpnfIOgXZFRj86rs0rWmKbIy4wnJnsNDP7ZVCQkAgcA7V4wdUL0OANZ1GqlU/uOLp2/ZiWk9m8W6ThX+1Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:58:43.468709Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.14368","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:076582407d1d01a4c79d1069722c00433759d4b55c8df2dd17389e91b084e53a","sha256:175299e1396857c2bb655bf1a724b4f7609e8fc8623e056ae92f3715aae3c095"],"state_sha256":"ffc88ac02b87cc7e7cb950691b0801310fcd5978fc5edaec0a6b37828d73c205"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G4BhEE7c/ZI/cEPP9QlEKyeNFwjN3iSfNPyFgSmo/8wEBBx2hT1kGr3sdOqb9iM7p9aGf6xFwQ4lJM40Zd+kDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:54:38.494920Z","bundle_sha256":"dde538e1e1cdd0dd949f1813f3ef1d728df181f0bd7f591f248b060aeaf613bb"}}