{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MIYECSZLFUZHSI3CIVMHK6UY4O","short_pith_number":"pith:MIYECSZL","canonical_record":{"source":{"id":"2504.03164","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-04T04:43:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"61aa1174e576109132e0319e3d80aa68becbcd208158bc870b2c34d754cc7e1f","abstract_canon_sha256":"f4130db33c043979ba49371ab20421ceaaa95d48652f1fb4563c58c6e04bc3d7"},"schema_version":"1.0"},"canonical_sha256":"6230414b2b2d327923624558757a98e38e3847ce56d594f3c019f6c048cca9f3","source":{"kind":"arxiv","id":"2504.03164","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03164","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03164v2","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03164","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"pith_short_12","alias_value":"MIYECSZLFUZH","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"pith_short_16","alias_value":"MIYECSZLFUZHSI3C","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"pith_short_8","alias_value":"MIYECSZL","created_at":"2026-07-05T10:45:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MIYECSZLFUZHSI3CIVMHK6UY4O","target":"record","payload":{"canonical_record":{"source":{"id":"2504.03164","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-04T04:43:10Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"61aa1174e576109132e0319e3d80aa68becbcd208158bc870b2c34d754cc7e1f","abstract_canon_sha256":"f4130db33c043979ba49371ab20421ceaaa95d48652f1fb4563c58c6e04bc3d7"},"schema_version":"1.0"},"canonical_sha256":"6230414b2b2d327923624558757a98e38e3847ce56d594f3c019f6c048cca9f3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:21.071459Z","signature_b64":"0m9GF/WI2eNaBMF52anIYMn4hwNobRBMiem1b9O326nhn1WR2ge2JXwt9q8ZPLLhW6nOYzXwnMS8nH18ANaoAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6230414b2b2d327923624558757a98e38e3847ce56d594f3c019f6c048cca9f3","last_reissued_at":"2026-07-05T10:45:21.070968Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:21.070968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.03164","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":"2026-07-05T10:45:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h3FvBicyUfqZQz98se3vHde66V4uxV1T8iwMZWW0R77BI4a3Dk8nueCRv+t/IrENxUpboN2d3HwaI1QB76r3AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:01:50.712773Z"},"content_sha256":"1f6c405e3588b8736584c98ace34303d301d5cba2ed79bfc46a8000e0be9bf8e","schema_version":"1.0","event_id":"sha256:1f6c405e3588b8736584c98ace34303d301d5cba2ed79bfc46a8000e0be9bf8e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MIYECSZLFUZHSI3CIVMHK6UY4O","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jingrui Mao, Jiwan Jiang, Kexin Tian, Yang Zhou, Yunlong Zhang, Zhengzhong Tu","submitted_at":"2025-04-04T04:43:10Z","abstract_excerpt":"Recent advancements in Vision-Language Models (VLMs) have demonstrated strong potential for autonomous driving tasks. However, their spatial understanding and reasoning-key capabilities for autonomous driving-still exhibit significant limitations. Notably, none of the existing benchmarks systematically evaluate VLMs' spatial reasoning capabilities in driving scenarios. To fill this gap, we propose NuScenes-SpatialQA, the first large-scale ground-truth-based Question-Answer (QA) benchmark specifically designed to evaluate the spatial understanding and reasoning capabilities of VLMs in autonomou"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03164","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/2504.03164/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":"2026-07-05T10:45:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u46VWwl+MBVvlNQvPjTHWv22xpLzYSUwa1nx1Gqh3Zei2jZJg+g5HmYOQXUD6hJx8V/QYSZXUNxzrjVGtvytBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T00:01:50.713285Z"},"content_sha256":"3423854021be12aadc4e3d9057abcf1d55ad3db5d694a47862f4c1637ae455bd","schema_version":"1.0","event_id":"sha256:3423854021be12aadc4e3d9057abcf1d55ad3db5d694a47862f4c1637ae455bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MIYECSZLFUZHSI3CIVMHK6UY4O/bundle.json","state_url":"https://pith.science/pith/MIYECSZLFUZHSI3CIVMHK6UY4O/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MIYECSZLFUZHSI3CIVMHK6UY4O/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":"2026-08-06T00:01:50Z","links":{"resolver":"https://pith.science/pith/MIYECSZLFUZHSI3CIVMHK6UY4O","bundle":"https://pith.science/pith/MIYECSZLFUZHSI3CIVMHK6UY4O/bundle.json","state":"https://pith.science/pith/MIYECSZLFUZHSI3CIVMHK6UY4O/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MIYECSZLFUZHSI3CIVMHK6UY4O/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MIYECSZLFUZHSI3CIVMHK6UY4O","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":"f4130db33c043979ba49371ab20421ceaaa95d48652f1fb4563c58c6e04bc3d7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-04T04:43:10Z","title_canon_sha256":"61aa1174e576109132e0319e3d80aa68becbcd208158bc870b2c34d754cc7e1f"},"schema_version":"1.0","source":{"id":"2504.03164","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.03164","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"arxiv_version","alias_value":"2504.03164v2","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.03164","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"pith_short_12","alias_value":"MIYECSZLFUZH","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"pith_short_16","alias_value":"MIYECSZLFUZHSI3C","created_at":"2026-07-05T10:45:21Z"},{"alias_kind":"pith_short_8","alias_value":"MIYECSZL","created_at":"2026-07-05T10:45:21Z"}],"graph_snapshots":[{"event_id":"sha256:3423854021be12aadc4e3d9057abcf1d55ad3db5d694a47862f4c1637ae455bd","target":"graph","created_at":"2026-07-05T10:45:21Z","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/2504.03164/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in Vision-Language Models (VLMs) have demonstrated strong potential for autonomous driving tasks. However, their spatial understanding and reasoning-key capabilities for autonomous driving-still exhibit significant limitations. Notably, none of the existing benchmarks systematically evaluate VLMs' spatial reasoning capabilities in driving scenarios. To fill this gap, we propose NuScenes-SpatialQA, the first large-scale ground-truth-based Question-Answer (QA) benchmark specifically designed to evaluate the spatial understanding and reasoning capabilities of VLMs in autonomou","authors_text":"Jingrui Mao, Jiwan Jiang, Kexin Tian, Yang Zhou, Yunlong Zhang, Zhengzhong Tu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-04T04:43:10Z","title":"NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.03164","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":"sha256:1f6c405e3588b8736584c98ace34303d301d5cba2ed79bfc46a8000e0be9bf8e","target":"record","created_at":"2026-07-05T10:45:21Z","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":"f4130db33c043979ba49371ab20421ceaaa95d48652f1fb4563c58c6e04bc3d7","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-04T04:43:10Z","title_canon_sha256":"61aa1174e576109132e0319e3d80aa68becbcd208158bc870b2c34d754cc7e1f"},"schema_version":"1.0","source":{"id":"2504.03164","kind":"arxiv","version":2}},"canonical_sha256":"6230414b2b2d327923624558757a98e38e3847ce56d594f3c019f6c048cca9f3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6230414b2b2d327923624558757a98e38e3847ce56d594f3c019f6c048cca9f3","first_computed_at":"2026-07-05T10:45:21.070968Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:21.070968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0m9GF/WI2eNaBMF52anIYMn4hwNobRBMiem1b9O326nhn1WR2ge2JXwt9q8ZPLLhW6nOYzXwnMS8nH18ANaoAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:21.071459Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.03164","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f6c405e3588b8736584c98ace34303d301d5cba2ed79bfc46a8000e0be9bf8e","sha256:3423854021be12aadc4e3d9057abcf1d55ad3db5d694a47862f4c1637ae455bd"],"state_sha256":"51b1be67ca08dff415114dda1de67344aac7ec1e616e7561a4086c4067363d00"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UwBw2ggH+255XKPAXNLrS/Bb28CkrVJDeZjT3VUWg/xIWgds88eCTe5r4ODoKjRP1qLP8M8rgcAASlTkS2jgBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T00:01:50.718323Z","bundle_sha256":"64894dc0d9416579f3167b1de6a4e02c388485f3d23eb4862dc4f630e4b4f12a"}}