{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3UQADXVINDPGVBWLM6J54CTPPG","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":"f3f744678423cb3e703e1c931bd4a844e0426dbff410a645b3c856de79cba470","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T14:23:58Z","title_canon_sha256":"d4388ffc14bfa41bfab704f8cc85dcbbec8878f182f921563319d1ffa8cffe75"},"schema_version":"1.0","source":{"id":"2412.20162","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20162","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20162v1","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20162","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_12","alias_value":"3UQADXVINDPG","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_16","alias_value":"3UQADXVINDPGVBWL","created_at":"2026-07-05T09:54:55Z"},{"alias_kind":"pith_short_8","alias_value":"3UQADXVI","created_at":"2026-07-05T09:54:55Z"}],"graph_snapshots":[{"event_id":"sha256:75262133aefce5c8a5be76b2c81b5d3138d14d7957ca219bb76cb990ecf2a8dc","target":"graph","created_at":"2026-07-05T09:54:55Z","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/2412.20162/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The autonomous driving community is increasingly focused on addressing corner case problems, particularly those related to ensuring driving safety under adverse conditions (e.g., nighttime, fog, rain). To this end, the task of Adverse Condition Depth Estimation (ACDE) has gained significant attention. Previous approaches in ACDE have primarily relied on generative models, which necessitate additional target images to convert the sunny condition into adverse weather, or learnable parameters for feature augmentation to adapt domain gaps, resulting in increased model complexity and tuning efforts","authors_text":"Guanglei Yang, Rui Tian, Wangmeng Zuo, Yongqiang Li, Yongqiang Zhang, Zhun Zhong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T14:23:58Z","title":"Multi-Modality Driven LoRA for Adverse Condition Depth Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20162","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":"sha256:45a2081843069256787bffb4819a497d0a04e2155190908ae56c468f802dd999","target":"record","created_at":"2026-07-05T09:54:55Z","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":"f3f744678423cb3e703e1c931bd4a844e0426dbff410a645b3c856de79cba470","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-28T14:23:58Z","title_canon_sha256":"d4388ffc14bfa41bfab704f8cc85dcbbec8878f182f921563319d1ffa8cffe75"},"schema_version":"1.0","source":{"id":"2412.20162","kind":"arxiv","version":1}},"canonical_sha256":"dd2001dea868de6a86cb6793de0a6f79b82ad049e80f8dc366dd80815e616fcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd2001dea868de6a86cb6793de0a6f79b82ad049e80f8dc366dd80815e616fcc","first_computed_at":"2026-07-05T09:54:55.415413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:55.415413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aFfyxNgmuFUnlj4jm/azx+QuplymHgPnVq1MFj9wZA3TtLFkC2U/yYrjBYaVQQYweeOOraSr4BQi5S7aSv80Aw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:55.415884Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20162","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:45a2081843069256787bffb4819a497d0a04e2155190908ae56c468f802dd999","sha256:75262133aefce5c8a5be76b2c81b5d3138d14d7957ca219bb76cb990ecf2a8dc"],"state_sha256":"9ebf7ad3066d3466286a956b04f562d59e806f9ded93200180bfeeb5c9b1378d"}