{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:7ZO5JTXXTYJQ7X7YRGJXKHHQWY","short_pith_number":"pith:7ZO5JTXX","canonical_record":{"source":{"id":"2405.05885","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-05-09T16:17:41Z","cross_cats_sorted":[],"title_canon_sha256":"1426a3f36e0186bcc0ffaa32e1cab2bf4047167e96a1a2e4a51f32f5ee5136e5","abstract_canon_sha256":"419ba8b3303b95c7d01bc72d9c6e39fabb37341b73f7d2f68dcb841674572fb9"},"schema_version":"1.0"},"canonical_sha256":"fe5dd4cef79e130fdff88993751cf0b62d428bc268f40d6bd7f0f8dfca9f8df7","source":{"kind":"arxiv","id":"2405.05885","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.05885","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.05885v3","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.05885","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"pith_short_12","alias_value":"7ZO5JTXXTYJQ","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"pith_short_16","alias_value":"7ZO5JTXXTYJQ7X7Y","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"pith_short_8","alias_value":"7ZO5JTXX","created_at":"2026-07-05T09:14:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:7ZO5JTXXTYJQ7X7YRGJXKHHQWY","target":"record","payload":{"canonical_record":{"source":{"id":"2405.05885","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-05-09T16:17:41Z","cross_cats_sorted":[],"title_canon_sha256":"1426a3f36e0186bcc0ffaa32e1cab2bf4047167e96a1a2e4a51f32f5ee5136e5","abstract_canon_sha256":"419ba8b3303b95c7d01bc72d9c6e39fabb37341b73f7d2f68dcb841674572fb9"},"schema_version":"1.0"},"canonical_sha256":"fe5dd4cef79e130fdff88993751cf0b62d428bc268f40d6bd7f0f8dfca9f8df7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:14:32.502070Z","signature_b64":"nVpGkmPy8Og/1u99knGlJb85mnKxKxBo+MWMesieylGJmgUTphgRwBj13ZeLEwRxJoALlwB5NOPDEy/Ay+hxBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fe5dd4cef79e130fdff88993751cf0b62d428bc268f40d6bd7f0f8dfca9f8df7","last_reissued_at":"2026-07-05T09:14:32.501627Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:14:32.501627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.05885","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:14:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8DJE9tKGQQtde5fdwQFRVVX2W0QUIIZ0YuFdZfKStByWcTHWBaPoVS75Yqt75YdiQliEWbv5ZlqF+XRCFcMODQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:09:33.523076Z"},"content_sha256":"8bd875d86e70ccfbe83caa25aa85abefefd0063e778ff3845ee716dfe1ad44c4","schema_version":"1.0","event_id":"sha256:8bd875d86e70ccfbe83caa25aa85abefefd0063e778ff3845ee716dfe1ad44c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:7ZO5JTXXTYJQ7X7YRGJXKHHQWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Artem Lykov, Dzmitry Tsetserukou, Mikhail Konenkov, Zakhar Yagudin, Ziang Guo","submitted_at":"2024-05-09T16:17:41Z","abstract_excerpt":"Recent research on Large Language Models for autonomous driving shows promise in planning and control. However, high computational demands and hallucinations still challenge accurate trajectory prediction and control signal generation. Deterministic algorithms offer reliability but lack adaptability to complex driving scenarios and struggle with context and uncertainty. To address this problem, we propose VLM-Auto, a novel autonomous driving assistant system to empower the autonomous vehicles with adjustable driving behaviors based on the understanding of road scenes. A pipeline involving the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.05885","kind":"arxiv","version":3},"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/2405.05885/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":"2026-07-05T09:14:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQ1og1fgR4+kzWWmImW+MyfenU4kAUw7broiq4HmkxQcKMnZ1WMz4UAyuIM8z7wGa8x6vXJICTQMgKzsHsnhBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:09:33.523863Z"},"content_sha256":"7ea468601ac59b86ac21a51d7c9150e53b5a2f0651fb08db5a5b5ba8b43d3149","schema_version":"1.0","event_id":"sha256:7ea468601ac59b86ac21a51d7c9150e53b5a2f0651fb08db5a5b5ba8b43d3149"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY/bundle.json","state_url":"https://pith.science/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY/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":"2026-08-18T02:09:33Z","links":{"resolver":"https://pith.science/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY","bundle":"https://pith.science/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY/bundle.json","state":"https://pith.science/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7ZO5JTXXTYJQ7X7YRGJXKHHQWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7ZO5JTXXTYJQ7X7YRGJXKHHQWY","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":"419ba8b3303b95c7d01bc72d9c6e39fabb37341b73f7d2f68dcb841674572fb9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-05-09T16:17:41Z","title_canon_sha256":"1426a3f36e0186bcc0ffaa32e1cab2bf4047167e96a1a2e4a51f32f5ee5136e5"},"schema_version":"1.0","source":{"id":"2405.05885","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.05885","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.05885v3","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.05885","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"pith_short_12","alias_value":"7ZO5JTXXTYJQ","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"pith_short_16","alias_value":"7ZO5JTXXTYJQ7X7Y","created_at":"2026-07-05T09:14:32Z"},{"alias_kind":"pith_short_8","alias_value":"7ZO5JTXX","created_at":"2026-07-05T09:14:32Z"}],"graph_snapshots":[{"event_id":"sha256:7ea468601ac59b86ac21a51d7c9150e53b5a2f0651fb08db5a5b5ba8b43d3149","target":"graph","created_at":"2026-07-05T09:14:32Z","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/2405.05885/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research on Large Language Models for autonomous driving shows promise in planning and control. However, high computational demands and hallucinations still challenge accurate trajectory prediction and control signal generation. Deterministic algorithms offer reliability but lack adaptability to complex driving scenarios and struggle with context and uncertainty. To address this problem, we propose VLM-Auto, a novel autonomous driving assistant system to empower the autonomous vehicles with adjustable driving behaviors based on the understanding of road scenes. A pipeline involving the ","authors_text":"Artem Lykov, Dzmitry Tsetserukou, Mikhail Konenkov, Zakhar Yagudin, Ziang Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-05-09T16:17:41Z","title":"VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.05885","kind":"arxiv","version":3},"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":"sha256:8bd875d86e70ccfbe83caa25aa85abefefd0063e778ff3845ee716dfe1ad44c4","target":"record","created_at":"2026-07-05T09:14:32Z","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":"419ba8b3303b95c7d01bc72d9c6e39fabb37341b73f7d2f68dcb841674572fb9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2024-05-09T16:17:41Z","title_canon_sha256":"1426a3f36e0186bcc0ffaa32e1cab2bf4047167e96a1a2e4a51f32f5ee5136e5"},"schema_version":"1.0","source":{"id":"2405.05885","kind":"arxiv","version":3}},"canonical_sha256":"fe5dd4cef79e130fdff88993751cf0b62d428bc268f40d6bd7f0f8dfca9f8df7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe5dd4cef79e130fdff88993751cf0b62d428bc268f40d6bd7f0f8dfca9f8df7","first_computed_at":"2026-07-05T09:14:32.501627Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:14:32.501627Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nVpGkmPy8Og/1u99knGlJb85mnKxKxBo+MWMesieylGJmgUTphgRwBj13ZeLEwRxJoALlwB5NOPDEy/Ay+hxBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:14:32.502070Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.05885","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8bd875d86e70ccfbe83caa25aa85abefefd0063e778ff3845ee716dfe1ad44c4","sha256:7ea468601ac59b86ac21a51d7c9150e53b5a2f0651fb08db5a5b5ba8b43d3149"],"state_sha256":"74eb901f6a024f33f337230baa7f764281513300c7a274f1a695b843924c47a9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R5YNO3a/tdDIr7CeebxG/nJ7N/y2YbKAdfNeLOkOevxggESGJ1IA+YEh9KSLL6swwSLhgfCYdQIjZ1temW3TBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T02:09:33.527276Z","bundle_sha256":"25e73cb47895bd1775585339d2c3682cac2d4d783623fa210f6a2c9741bfabad"}}