{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:H6WEYW6UZJ7E5WKC4T52ZW2HL2","short_pith_number":"pith:H6WEYW6U","canonical_record":{"source":{"id":"2505.19381","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-26T00:49:35Z","cross_cats_sorted":["cs.CV","cs.RO"],"title_canon_sha256":"17103aa54308ba55fa53ff4ebc401ac9ff4d483a71b26da392a743e508f83e2d","abstract_canon_sha256":"5c2f91f34aeea4610d5e9184d3019ba35738ca922096f6ef6c91fb55cf1e9587"},"schema_version":"1.0"},"canonical_sha256":"3fac4c5bd4ca7e4ed942e4fbacdb475e9a89c0a262156d1b5a84b030096cb4e1","source":{"kind":"arxiv","id":"2505.19381","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19381","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19381v4","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19381","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"pith_short_12","alias_value":"H6WEYW6UZJ7E","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"pith_short_16","alias_value":"H6WEYW6UZJ7E5WKC","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"pith_short_8","alias_value":"H6WEYW6U","created_at":"2026-07-05T11:14:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:H6WEYW6UZJ7E5WKC4T52ZW2HL2","target":"record","payload":{"canonical_record":{"source":{"id":"2505.19381","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-26T00:49:35Z","cross_cats_sorted":["cs.CV","cs.RO"],"title_canon_sha256":"17103aa54308ba55fa53ff4ebc401ac9ff4d483a71b26da392a743e508f83e2d","abstract_canon_sha256":"5c2f91f34aeea4610d5e9184d3019ba35738ca922096f6ef6c91fb55cf1e9587"},"schema_version":"1.0"},"canonical_sha256":"3fac4c5bd4ca7e4ed942e4fbacdb475e9a89c0a262156d1b5a84b030096cb4e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:29.490873Z","signature_b64":"zxSYc0eyQVg2V9Z7kFAkVElaIgWNPpqZl2H2YuN5uWWzjnDZyYdmV7tzjJNCFKrpWeXopbwFP0pJNiRUgze9Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3fac4c5bd4ca7e4ed942e4fbacdb475e9a89c0a262156d1b5a84b030096cb4e1","last_reissued_at":"2026-07-05T11:14:29.490394Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:29.490394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.19381","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:14:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EF6dBjDqYdTa8s/NJYIAUxxvcKyJ3f9ZTtzc4O6XZzm86/UEIXXAbQwHwB6YzFDxfdL9l4Ek918OzHVDO7hcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T21:16:21.352545Z"},"content_sha256":"2e8f1b97bd23a24d4dc507373f9a4d8c1ab2c7a02f1e21209a9cc420c696a8f2","schema_version":"1.0","event_id":"sha256:2e8f1b97bd23a24d4dc507373f9a4d8c1ab2c7a02f1e21209a9cc420c696a8f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:H6WEYW6UZJ7E5WKC4T52ZW2HL2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.RO"],"primary_cat":"cs.AI","authors_text":"Anqing Jiang, Hao Jiang, Hao Sun, Hao Zhao, Jijun Wang, Jinghao Chai, Qian Cao, Xianda Guo, Yiru Wang, Yu Gao, Yunda Dong, Yuweng Heng, Zhigang Sun, Zongzheng Zhang","submitted_at":"2025-05-26T00:49:35Z","abstract_excerpt":"Research interest in end-to-end autonomous driving has surged owing to its fully differentiable design integrating modular tasks, i.e. perception, prediction and planing, which enables optimization in pursuit of the ultimate goal. Despite the great potential of the end-to-end paradigm, existing methods suffer from several aspects including expensive BEV (bird's eye view) computation, action diversity, and sub-optimal decision in complex real-world scenarios. To address these challenges, we propose a novel hybrid sparse-dense diffusion policy, empowered by a Vision-Language Model (VLM), called "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19381","kind":"arxiv","version":4},"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/2505.19381/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":"2026-07-05T11:14:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RhNb4UymgS4JTrCFjJCnyE7cHcvkQYtG2SfslHT7tjByjUaJ6bDmTLeTqC6eEuyBLY9BSo1NI+Es9YpGy42ECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T21:16:21.353511Z"},"content_sha256":"741b2df6d052b9b7abac0ed788ca45c439ea3009a6f9d3595c0026956b472120","schema_version":"1.0","event_id":"sha256:741b2df6d052b9b7abac0ed788ca45c439ea3009a6f9d3595c0026956b472120"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2/bundle.json","state_url":"https://pith.science/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2/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":"2026-08-17T21:16:21Z","links":{"resolver":"https://pith.science/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2","bundle":"https://pith.science/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2/bundle.json","state":"https://pith.science/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H6WEYW6UZJ7E5WKC4T52ZW2HL2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H6WEYW6UZJ7E5WKC4T52ZW2HL2","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":"5c2f91f34aeea4610d5e9184d3019ba35738ca922096f6ef6c91fb55cf1e9587","cross_cats_sorted":["cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-26T00:49:35Z","title_canon_sha256":"17103aa54308ba55fa53ff4ebc401ac9ff4d483a71b26da392a743e508f83e2d"},"schema_version":"1.0","source":{"id":"2505.19381","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.19381","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"arxiv_version","alias_value":"2505.19381v4","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.19381","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"pith_short_12","alias_value":"H6WEYW6UZJ7E","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"pith_short_16","alias_value":"H6WEYW6UZJ7E5WKC","created_at":"2026-07-05T11:14:29Z"},{"alias_kind":"pith_short_8","alias_value":"H6WEYW6U","created_at":"2026-07-05T11:14:29Z"}],"graph_snapshots":[{"event_id":"sha256:741b2df6d052b9b7abac0ed788ca45c439ea3009a6f9d3595c0026956b472120","target":"graph","created_at":"2026-07-05T11:14:29Z","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/2505.19381/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Research interest in end-to-end autonomous driving has surged owing to its fully differentiable design integrating modular tasks, i.e. perception, prediction and planing, which enables optimization in pursuit of the ultimate goal. Despite the great potential of the end-to-end paradigm, existing methods suffer from several aspects including expensive BEV (bird's eye view) computation, action diversity, and sub-optimal decision in complex real-world scenarios. To address these challenges, we propose a novel hybrid sparse-dense diffusion policy, empowered by a Vision-Language Model (VLM), called ","authors_text":"Anqing Jiang, Hao Jiang, Hao Sun, Hao Zhao, Jijun Wang, Jinghao Chai, Qian Cao, Xianda Guo, Yiru Wang, Yu Gao, Yunda Dong, Yuweng Heng, Zhigang Sun, Zongzheng Zhang","cross_cats":["cs.CV","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-26T00:49:35Z","title":"DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.19381","kind":"arxiv","version":4},"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":"sha256:2e8f1b97bd23a24d4dc507373f9a4d8c1ab2c7a02f1e21209a9cc420c696a8f2","target":"record","created_at":"2026-07-05T11:14:29Z","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":"5c2f91f34aeea4610d5e9184d3019ba35738ca922096f6ef6c91fb55cf1e9587","cross_cats_sorted":["cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-05-26T00:49:35Z","title_canon_sha256":"17103aa54308ba55fa53ff4ebc401ac9ff4d483a71b26da392a743e508f83e2d"},"schema_version":"1.0","source":{"id":"2505.19381","kind":"arxiv","version":4}},"canonical_sha256":"3fac4c5bd4ca7e4ed942e4fbacdb475e9a89c0a262156d1b5a84b030096cb4e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3fac4c5bd4ca7e4ed942e4fbacdb475e9a89c0a262156d1b5a84b030096cb4e1","first_computed_at":"2026-07-05T11:14:29.490394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:29.490394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zxSYc0eyQVg2V9Z7kFAkVElaIgWNPpqZl2H2YuN5uWWzjnDZyYdmV7tzjJNCFKrpWeXopbwFP0pJNiRUgze9Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:29.490873Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.19381","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2e8f1b97bd23a24d4dc507373f9a4d8c1ab2c7a02f1e21209a9cc420c696a8f2","sha256:741b2df6d052b9b7abac0ed788ca45c439ea3009a6f9d3595c0026956b472120"],"state_sha256":"782d0f948867b2ebb0c9c38f20b33de8fd9b038ab1ed39ac3c5f27a2ebaafc2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z27TdC06Hn4tyM1UlSHvHqVUkzPyhy4E3ZbVPGUixNX6MK1aBzzA+a90hi8VL1m04vQAw7pUj19J5J9acT6HDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T21:16:21.428229Z","bundle_sha256":"274ad45cb2779b16ada4631a6eb386a2f5ddb2215902c71d884f7a2c8fd54af3"}}