{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HDF4NFW2MT4Z4YDMV2F6VFO6WW","short_pith_number":"pith:HDF4NFW2","canonical_record":{"source":{"id":"2606.24051","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T01:40:54Z","cross_cats_sorted":[],"title_canon_sha256":"e00afe48209c6c8dd9bac3ca728624b5236e50395da56657085798f7730674c4","abstract_canon_sha256":"59ba22936863297443ef77ae276ec9583a4f9e45fec650a1cf1025f9808a5546"},"schema_version":"1.0"},"canonical_sha256":"38cbc696da64f99e606cae8bea95deb5a8f5f40d2fc1d56b462e1d2fca052e23","source":{"kind":"arxiv","id":"2606.24051","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24051","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24051v1","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24051","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"pith_short_12","alias_value":"HDF4NFW2MT4Z","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"pith_short_16","alias_value":"HDF4NFW2MT4Z4YDM","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"pith_short_8","alias_value":"HDF4NFW2","created_at":"2026-06-24T01:14:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HDF4NFW2MT4Z4YDMV2F6VFO6WW","target":"record","payload":{"canonical_record":{"source":{"id":"2606.24051","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T01:40:54Z","cross_cats_sorted":[],"title_canon_sha256":"e00afe48209c6c8dd9bac3ca728624b5236e50395da56657085798f7730674c4","abstract_canon_sha256":"59ba22936863297443ef77ae276ec9583a4f9e45fec650a1cf1025f9808a5546"},"schema_version":"1.0"},"canonical_sha256":"38cbc696da64f99e606cae8bea95deb5a8f5f40d2fc1d56b462e1d2fca052e23","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-24T01:14:39.090493Z","signature_b64":"t6/0GMmr0aFM6aWUt1k5t5KGR3APM61hk1mWPtxbZSaUh+ngXHiM0xYgHKvM1FcJzchD+Aag0vOpl4o2NPa6BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38cbc696da64f99e606cae8bea95deb5a8f5f40d2fc1d56b462e1d2fca052e23","last_reissued_at":"2026-06-24T01:14:39.090123Z","signature_status":"signed_v1","first_computed_at":"2026-06-24T01:14:39.090123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.24051","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":"2026-06-24T01:14:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Smlf/WsCFLYndELm2uTkO2rbg8xBtbXaIJ7KPceMlRwSMi0OxZyvle5LjMpgTRo+/x0PeLVgjQUNWZ1m/wT9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T22:34:29.586861Z"},"content_sha256":"671e35009f3ad5ea3087a581f30358796bd8854e64e2189c8200c32c9b0ecbab","schema_version":"1.0","event_id":"sha256:671e35009f3ad5ea3087a581f30358796bd8854e64e2189c8200c32c9b0ecbab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HDF4NFW2MT4Z4YDMV2F6VFO6WW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aixue Ye, Guanglin Xu, Hao Su, Jingke Wang, Kai Tang, Shuangming Lei, Yijia Xie, Yong Liu, Yuehao Huang, Yukai Ma, Zhenru Zhao","submitted_at":"2026-06-23T01:40:54Z","abstract_excerpt":"Vision-Language-Action driving models convert a pretrained Vision-Language Model into a driving policy, allowing them to use world knowledge and follow language guidances. However, existing VLA driving models still lack driving-oriented spatial intelligence: their policies are mainly grounded on perspective image tokens and language priors, while precise motion planning requires metric geometry, top-down scene structure, and attention to safety-critical perceptual cues. This limitation makes current models vulnerable to weak visual geometry modeling and perceptual coverage in expert demonstrat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24051","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/2606.24051/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":"2026-06-24T01:14:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NYk6iCUv5SOg8GFtqrLxOt7l+bmdjJ5JM458ALyiD3wwboUs/5vXWC7x6I8szrV/6HxL1gO96c4hfwNxCHvMCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T22:34:29.587230Z"},"content_sha256":"adcb9924bf490e0f55a73e7c4629da60356378bbc3e7f31ce2f5df374d0e0137","schema_version":"1.0","event_id":"sha256:adcb9924bf490e0f55a73e7c4629da60356378bbc3e7f31ce2f5df374d0e0137"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW/bundle.json","state_url":"https://pith.science/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW/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":"2026-06-24T22:34:29Z","links":{"resolver":"https://pith.science/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW","bundle":"https://pith.science/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW/bundle.json","state":"https://pith.science/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HDF4NFW2MT4Z4YDMV2F6VFO6WW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HDF4NFW2MT4Z4YDMV2F6VFO6WW","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":"59ba22936863297443ef77ae276ec9583a4f9e45fec650a1cf1025f9808a5546","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T01:40:54Z","title_canon_sha256":"e00afe48209c6c8dd9bac3ca728624b5236e50395da56657085798f7730674c4"},"schema_version":"1.0","source":{"id":"2606.24051","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.24051","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"arxiv_version","alias_value":"2606.24051v1","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.24051","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"pith_short_12","alias_value":"HDF4NFW2MT4Z","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"pith_short_16","alias_value":"HDF4NFW2MT4Z4YDM","created_at":"2026-06-24T01:14:39Z"},{"alias_kind":"pith_short_8","alias_value":"HDF4NFW2","created_at":"2026-06-24T01:14:39Z"}],"graph_snapshots":[{"event_id":"sha256:adcb9924bf490e0f55a73e7c4629da60356378bbc3e7f31ce2f5df374d0e0137","target":"graph","created_at":"2026-06-24T01:14:39Z","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/2606.24051/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language-Action driving models convert a pretrained Vision-Language Model into a driving policy, allowing them to use world knowledge and follow language guidances. However, existing VLA driving models still lack driving-oriented spatial intelligence: their policies are mainly grounded on perspective image tokens and language priors, while precise motion planning requires metric geometry, top-down scene structure, and attention to safety-critical perceptual cues. This limitation makes current models vulnerable to weak visual geometry modeling and perceptual coverage in expert demonstrat","authors_text":"Aixue Ye, Guanglin Xu, Hao Su, Jingke Wang, Kai Tang, Shuangming Lei, Yijia Xie, Yong Liu, Yuehao Huang, Yukai Ma, Zhenru Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T01:40:54Z","title":"DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.24051","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":"sha256:671e35009f3ad5ea3087a581f30358796bd8854e64e2189c8200c32c9b0ecbab","target":"record","created_at":"2026-06-24T01:14:39Z","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":"59ba22936863297443ef77ae276ec9583a4f9e45fec650a1cf1025f9808a5546","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-23T01:40:54Z","title_canon_sha256":"e00afe48209c6c8dd9bac3ca728624b5236e50395da56657085798f7730674c4"},"schema_version":"1.0","source":{"id":"2606.24051","kind":"arxiv","version":1}},"canonical_sha256":"38cbc696da64f99e606cae8bea95deb5a8f5f40d2fc1d56b462e1d2fca052e23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"38cbc696da64f99e606cae8bea95deb5a8f5f40d2fc1d56b462e1d2fca052e23","first_computed_at":"2026-06-24T01:14:39.090123Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-24T01:14:39.090123Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"t6/0GMmr0aFM6aWUt1k5t5KGR3APM61hk1mWPtxbZSaUh+ngXHiM0xYgHKvM1FcJzchD+Aag0vOpl4o2NPa6BA==","signature_status":"signed_v1","signed_at":"2026-06-24T01:14:39.090493Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.24051","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:671e35009f3ad5ea3087a581f30358796bd8854e64e2189c8200c32c9b0ecbab","sha256:adcb9924bf490e0f55a73e7c4629da60356378bbc3e7f31ce2f5df374d0e0137"],"state_sha256":"14898d5f607a1f3b0648aecf21e4612caa285d58c08ec55270a886655be66ac5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PGsBnp8z5L6/SomN1uaSxJYZoPx6KNsPqxA3CCMwcx4zmnyT7+m/77YCApXI/dY+q5QUdacEVeS2wa4HxXnDDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T22:34:29.589199Z","bundle_sha256":"6c64731b6896d076e03e1f3e85401e45b020c71e615a9e3d068bd0904d2a9899"}}