{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2XZATT27ZN5ED7JAHCNQPCNEZ5","short_pith_number":"pith:2XZATT27","canonical_record":{"source":{"id":"2412.07247","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T07:13:39Z","cross_cats_sorted":[],"title_canon_sha256":"0bcb1ae0f1274f927b6a485942c321e4e5746e94ddcecd6bcead827bd60b4793","abstract_canon_sha256":"be12a49e30d5dfc40f45d68d4d62010ea51d2b0d557ebd1ad4945c6d7fe24df3"},"schema_version":"1.0"},"canonical_sha256":"d5f209cf5fcb7a41fd20389b0789a4cf584a4a896763cf199959723f73d16dfc","source":{"kind":"arxiv","id":"2412.07247","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07247","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07247v1","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07247","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"pith_short_12","alias_value":"2XZATT27ZN5E","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"pith_short_16","alias_value":"2XZATT27ZN5ED7JA","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"pith_short_8","alias_value":"2XZATT27","created_at":"2026-07-05T09:47:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2XZATT27ZN5ED7JAHCNQPCNEZ5","target":"record","payload":{"canonical_record":{"source":{"id":"2412.07247","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T07:13:39Z","cross_cats_sorted":[],"title_canon_sha256":"0bcb1ae0f1274f927b6a485942c321e4e5746e94ddcecd6bcead827bd60b4793","abstract_canon_sha256":"be12a49e30d5dfc40f45d68d4d62010ea51d2b0d557ebd1ad4945c6d7fe24df3"},"schema_version":"1.0"},"canonical_sha256":"d5f209cf5fcb7a41fd20389b0789a4cf584a4a896763cf199959723f73d16dfc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:47:06.727012Z","signature_b64":"qwkdQxX5zTN3qIE86R6vbtx4pKc6NP+1azh8wQ0IURtDQW+XxPYwsL7qvhC6CqJJiP2gko7/76neOfiPEwVgBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5f209cf5fcb7a41fd20389b0789a4cf584a4a896763cf199959723f73d16dfc","last_reissued_at":"2026-07-05T09:47:06.726449Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:47:06.726449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.07247","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":"2026-07-05T09:47:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r0Hn2KxOaonmNT8X9HdN8EOk1UrpvG4HfeI16UgkvhYPhsDRcnwAhjZuiBOaVNYDleDsm2GZWG6CA3AQQ5w3Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T18:50:09.074801Z"},"content_sha256":"5762c5e2ac5915b96b5c31284fb0aeeb02d8edc67288e20cd92df3e6067eb344","schema_version":"1.0","event_id":"sha256:5762c5e2ac5915b96b5c31284fb0aeeb02d8edc67288e20cd92df3e6067eb344"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2XZATT27ZN5ED7JAHCNQPCNEZ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiahan Li, Tong Lu, Zhiqi Li","submitted_at":"2024-12-10T07:13:39Z","abstract_excerpt":"This technical report describes the methods we employed for the Driving with Language track of the CVPR 2024 Autonomous Grand Challenge. We utilized a powerful open-source multimodal model, InternVL-1.5, and conducted a full-parameter fine-tuning on the competition dataset, DriveLM-nuScenes. To effectively handle the multi-view images of nuScenes and seamlessly inherit InternVL's outstanding multimodal understanding capabilities, we formatted and concatenated the multi-view images in a specific manner. This ensured that the final model could meet the specific requirements of the competition ta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07247","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/2412.07247/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":"2026-07-05T09:47:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"esDrb2GP75P7j7fHc/z+biF3oRuEpRu8o5JA/d40FYBwGHKIrnqa6rFQDKj2APzWUIJw9p6eWut/PlOBpJjJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T18:50:09.075290Z"},"content_sha256":"fa82b4b475f85c02a42ee72d8ed0433f4baf473ffb43180737c725c6be714bb3","schema_version":"1.0","event_id":"sha256:fa82b4b475f85c02a42ee72d8ed0433f4baf473ffb43180737c725c6be714bb3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5/bundle.json","state_url":"https://pith.science/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5/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":"2026-08-22T18:50:09Z","links":{"resolver":"https://pith.science/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5","bundle":"https://pith.science/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5/bundle.json","state":"https://pith.science/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2XZATT27ZN5ED7JAHCNQPCNEZ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2XZATT27ZN5ED7JAHCNQPCNEZ5","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":"be12a49e30d5dfc40f45d68d4d62010ea51d2b0d557ebd1ad4945c6d7fe24df3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T07:13:39Z","title_canon_sha256":"0bcb1ae0f1274f927b6a485942c321e4e5746e94ddcecd6bcead827bd60b4793"},"schema_version":"1.0","source":{"id":"2412.07247","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.07247","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"arxiv_version","alias_value":"2412.07247v1","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.07247","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"pith_short_12","alias_value":"2XZATT27ZN5E","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"pith_short_16","alias_value":"2XZATT27ZN5ED7JA","created_at":"2026-07-05T09:47:06Z"},{"alias_kind":"pith_short_8","alias_value":"2XZATT27","created_at":"2026-07-05T09:47:06Z"}],"graph_snapshots":[{"event_id":"sha256:fa82b4b475f85c02a42ee72d8ed0433f4baf473ffb43180737c725c6be714bb3","target":"graph","created_at":"2026-07-05T09:47:06Z","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/2412.07247/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This technical report describes the methods we employed for the Driving with Language track of the CVPR 2024 Autonomous Grand Challenge. We utilized a powerful open-source multimodal model, InternVL-1.5, and conducted a full-parameter fine-tuning on the competition dataset, DriveLM-nuScenes. To effectively handle the multi-view images of nuScenes and seamlessly inherit InternVL's outstanding multimodal understanding capabilities, we formatted and concatenated the multi-view images in a specific manner. This ensured that the final model could meet the specific requirements of the competition ta","authors_text":"Jiahan Li, Tong Lu, Zhiqi Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T07:13:39Z","title":"Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.07247","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":"sha256:5762c5e2ac5915b96b5c31284fb0aeeb02d8edc67288e20cd92df3e6067eb344","target":"record","created_at":"2026-07-05T09:47:06Z","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":"be12a49e30d5dfc40f45d68d4d62010ea51d2b0d557ebd1ad4945c6d7fe24df3","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-10T07:13:39Z","title_canon_sha256":"0bcb1ae0f1274f927b6a485942c321e4e5746e94ddcecd6bcead827bd60b4793"},"schema_version":"1.0","source":{"id":"2412.07247","kind":"arxiv","version":1}},"canonical_sha256":"d5f209cf5fcb7a41fd20389b0789a4cf584a4a896763cf199959723f73d16dfc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5f209cf5fcb7a41fd20389b0789a4cf584a4a896763cf199959723f73d16dfc","first_computed_at":"2026-07-05T09:47:06.726449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:47:06.726449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qwkdQxX5zTN3qIE86R6vbtx4pKc6NP+1azh8wQ0IURtDQW+XxPYwsL7qvhC6CqJJiP2gko7/76neOfiPEwVgBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:47:06.727012Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.07247","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5762c5e2ac5915b96b5c31284fb0aeeb02d8edc67288e20cd92df3e6067eb344","sha256:fa82b4b475f85c02a42ee72d8ed0433f4baf473ffb43180737c725c6be714bb3"],"state_sha256":"77281035d01b4fa8a6cc84e0c192baf5827eb05013c6bd8dfbbe075441a898a4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2IK2mzfQ3elmDGdVihwyaYiyb3r0ZqehkJdQtPilyYhFFkw2ba35rk9QETz+di1ijNrgQI4Qt9NZfpK6DGFAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T18:50:09.078775Z","bundle_sha256":"a52153115836135f50d63580877e1431aa77184903b1625447e8e9ea7ab6c36d"}}