{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:M3BM6DK7THJVC6MO456INJZLF5","short_pith_number":"pith:M3BM6DK7","canonical_record":{"source":{"id":"2606.28938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:20:26Z","cross_cats_sorted":[],"title_canon_sha256":"ce98434452026a3363995284ae01dab9e226492cdcdad4f3aed261d924056e1a","abstract_canon_sha256":"2e8a51e1ee4f540dce9e73910266604949e3bba7a56a5325509200dba2c11ad6"},"schema_version":"1.0"},"canonical_sha256":"66c2cf0d5f99d351798ee77c86a72b2f52f6b0b657b69bc83b3fb6731b6b8614","source":{"kind":"arxiv","id":"2606.28938","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28938","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28938v1","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28938","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"M3BM6DK7THJV","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"M3BM6DK7THJVC6MO","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"M3BM6DK7","created_at":"2026-06-30T01:17:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:M3BM6DK7THJVC6MO456INJZLF5","target":"record","payload":{"canonical_record":{"source":{"id":"2606.28938","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:20:26Z","cross_cats_sorted":[],"title_canon_sha256":"ce98434452026a3363995284ae01dab9e226492cdcdad4f3aed261d924056e1a","abstract_canon_sha256":"2e8a51e1ee4f540dce9e73910266604949e3bba7a56a5325509200dba2c11ad6"},"schema_version":"1.0"},"canonical_sha256":"66c2cf0d5f99d351798ee77c86a72b2f52f6b0b657b69bc83b3fb6731b6b8614","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-30T01:17:46.323739Z","signature_b64":"AGXQw4Gzge5lDcYe4aGs/bhePDWo0w11qrR+GysZIHl1W/f3c0nOS+UV96b6NFtc1B7w5Fj4lPpdmXIRV6MwDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"66c2cf0d5f99d351798ee77c86a72b2f52f6b0b657b69bc83b3fb6731b6b8614","last_reissued_at":"2026-06-30T01:17:46.323263Z","signature_status":"signed_v1","first_computed_at":"2026-06-30T01:17:46.323263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.28938","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":"2026-06-30T01:17:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g36jEkaDfQZYKljPGucXV3TVe8LcxxwRTDdp2WWokPIWIjkGzVaMJWy4RvKPeOwsAK1Cw3Zv6JNVCzDBDNq+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T13:41:48.487026Z"},"content_sha256":"bbaf15ea1c500bf81851016f1767a103aa74fb7c1a1fdf9bc3a68d2883e9c782","schema_version":"1.0","event_id":"sha256:bbaf15ea1c500bf81851016f1767a103aa74fb7c1a1fdf9bc3a68d2883e9c782"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:M3BM6DK7THJVC6MO456INJZLF5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Haoyu Wang, Mingxuan Zhang, Ruijie Lin, Siyuan Zhao, Yuxin Liu, Zihan Chen","submitted_at":"2026-06-27T14:20:26Z","abstract_excerpt":"Modern vision-language models (VLMs) for driving assistants typically treat vehicle dynamics as a black box, resulting in decisions that lack awareness of the vehicle's real-time electro-mechanical state. To bridge this gap, we introduce the Electro-Visual-Language Assistant (EVLA) -- a novel framework that combines multi-modal scene understanding with real-time perception of the electrified powertrain state (e.g., motor torque, battery SOC). Our approach features two key innovations: first, a Unified Co-State Encoder (UCSE) that fuses visual, textual, and vehicle-state inputs into a shared la"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28938","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/2606.28938/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":"2026-06-30T01:17:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g5JzrgHpA9Frzaqj6Mv2wrezvkwdxoyUw/ZJHcmxB9sy88ZEpanJqfoaCks2aE6l2b+9VjPzmxcOlC9RYLBSCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T13:41:48.487416Z"},"content_sha256":"8452cd80ebe2b19d69f44fa07da796d55a800d7d38b5ff1a948784486002d82c","schema_version":"1.0","event_id":"sha256:8452cd80ebe2b19d69f44fa07da796d55a800d7d38b5ff1a948784486002d82c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M3BM6DK7THJVC6MO456INJZLF5/bundle.json","state_url":"https://pith.science/pith/M3BM6DK7THJVC6MO456INJZLF5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M3BM6DK7THJVC6MO456INJZLF5/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":"2026-06-30T13:41:48Z","links":{"resolver":"https://pith.science/pith/M3BM6DK7THJVC6MO456INJZLF5","bundle":"https://pith.science/pith/M3BM6DK7THJVC6MO456INJZLF5/bundle.json","state":"https://pith.science/pith/M3BM6DK7THJVC6MO456INJZLF5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M3BM6DK7THJVC6MO456INJZLF5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:M3BM6DK7THJVC6MO456INJZLF5","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":"2e8a51e1ee4f540dce9e73910266604949e3bba7a56a5325509200dba2c11ad6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:20:26Z","title_canon_sha256":"ce98434452026a3363995284ae01dab9e226492cdcdad4f3aed261d924056e1a"},"schema_version":"1.0","source":{"id":"2606.28938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28938","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28938v1","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28938","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"M3BM6DK7THJV","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"M3BM6DK7THJVC6MO","created_at":"2026-06-30T01:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"M3BM6DK7","created_at":"2026-06-30T01:17:46Z"}],"graph_snapshots":[{"event_id":"sha256:8452cd80ebe2b19d69f44fa07da796d55a800d7d38b5ff1a948784486002d82c","target":"graph","created_at":"2026-06-30T01:17:46Z","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/2606.28938/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Modern vision-language models (VLMs) for driving assistants typically treat vehicle dynamics as a black box, resulting in decisions that lack awareness of the vehicle's real-time electro-mechanical state. To bridge this gap, we introduce the Electro-Visual-Language Assistant (EVLA) -- a novel framework that combines multi-modal scene understanding with real-time perception of the electrified powertrain state (e.g., motor torque, battery SOC). Our approach features two key innovations: first, a Unified Co-State Encoder (UCSE) that fuses visual, textual, and vehicle-state inputs into a shared la","authors_text":"Haoyu Wang, Mingxuan Zhang, Ruijie Lin, Siyuan Zhao, Yuxin Liu, Zihan Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:20:26Z","title":"EVLA: An Electro-Aware Multimodal Assistant for Physically-Grounded Driving Reasoning and Control"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28938","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:bbaf15ea1c500bf81851016f1767a103aa74fb7c1a1fdf9bc3a68d2883e9c782","target":"record","created_at":"2026-06-30T01:17:46Z","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":"2e8a51e1ee4f540dce9e73910266604949e3bba7a56a5325509200dba2c11ad6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-27T14:20:26Z","title_canon_sha256":"ce98434452026a3363995284ae01dab9e226492cdcdad4f3aed261d924056e1a"},"schema_version":"1.0","source":{"id":"2606.28938","kind":"arxiv","version":1}},"canonical_sha256":"66c2cf0d5f99d351798ee77c86a72b2f52f6b0b657b69bc83b3fb6731b6b8614","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"66c2cf0d5f99d351798ee77c86a72b2f52f6b0b657b69bc83b3fb6731b6b8614","first_computed_at":"2026-06-30T01:17:46.323263Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-30T01:17:46.323263Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AGXQw4Gzge5lDcYe4aGs/bhePDWo0w11qrR+GysZIHl1W/f3c0nOS+UV96b6NFtc1B7w5Fj4lPpdmXIRV6MwDA==","signature_status":"signed_v1","signed_at":"2026-06-30T01:17:46.323739Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbaf15ea1c500bf81851016f1767a103aa74fb7c1a1fdf9bc3a68d2883e9c782","sha256:8452cd80ebe2b19d69f44fa07da796d55a800d7d38b5ff1a948784486002d82c"],"state_sha256":"a312f1e7e33b3b0f95e55bf8fbbef011ed3c11adb14a7f97df7d7efad6c2a19e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U6dqzAqsVkiU84RHMvLG90hgOdTLDyq0zAZqTdmZsLywgYzzYRIoBJnscdLGkx8QN14i6QjxPubBi0LsrwijDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T13:41:48.489267Z","bundle_sha256":"a9178dfc05693928e20cd9ff5d0a440324d620c987060081631bd62527a4bebb"}}