{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:X7NJVQR3DKM7Y7JNARA2SOT3PJ","short_pith_number":"pith:X7NJVQR3","canonical_record":{"source":{"id":"2605.22216","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T09:19:22Z","cross_cats_sorted":[],"title_canon_sha256":"2f98e6100c04ee6e6ed84e8d54e1af06249b5870e7e1a4c22244f5f1322bdc91","abstract_canon_sha256":"24eebdfa9d64cbdc0e52ff6bcff144381d7fe9265ed6c8e9dce09abb77e839e3"},"schema_version":"1.0"},"canonical_sha256":"bfda9ac23b1a99fc7d2d0441a93a7b7a605690d5b6f2154b3c92a60fc5bb8702","source":{"kind":"arxiv","id":"2605.22216","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22216","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22216v1","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22216","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"pith_short_12","alias_value":"X7NJVQR3DKM7","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"pith_short_16","alias_value":"X7NJVQR3DKM7Y7JN","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"pith_short_8","alias_value":"X7NJVQR3","created_at":"2026-05-22T01:04:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:X7NJVQR3DKM7Y7JNARA2SOT3PJ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.22216","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T09:19:22Z","cross_cats_sorted":[],"title_canon_sha256":"2f98e6100c04ee6e6ed84e8d54e1af06249b5870e7e1a4c22244f5f1322bdc91","abstract_canon_sha256":"24eebdfa9d64cbdc0e52ff6bcff144381d7fe9265ed6c8e9dce09abb77e839e3"},"schema_version":"1.0"},"canonical_sha256":"bfda9ac23b1a99fc7d2d0441a93a7b7a605690d5b6f2154b3c92a60fc5bb8702","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T01:04:32.607727Z","signature_b64":"xgjaWhdfhWdav+lHUEJGo2p/HboO+7O1uwNeqFhetr+iUgiY9HIMPjyv5fFDM0/4poKw2ZxyILBhxOGohzqgDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bfda9ac23b1a99fc7d2d0441a93a7b7a605690d5b6f2154b3c92a60fc5bb8702","last_reissued_at":"2026-05-22T01:04:32.606947Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T01:04:32.606947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.22216","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":"2026-05-22T01:04:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fHAD3C46y9IpOKDxOw0jvABeVYP6HQDz1feqRiCEZfV1onqfFB76W1yrdTwhv9UzXMa7s+WFcko39aNK1UhzCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:05:01.638989Z"},"content_sha256":"c933761e85c98e9f0b238af95919c2187616463c5db8ae89d7d2f889e0143af1","schema_version":"1.0","event_id":"sha256:c933761e85c98e9f0b238af95919c2187616463c5db8ae89d7d2f889e0143af1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:X7NJVQR3DKM7Y7JNARA2SOT3PJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Robust Semantic Segmentation Pipeline for the CVPR 2026 8th UG2+ Challenge Track 2","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fang Liu, Jinming Chai, Libo Yan, Licheng Jiao","submitted_at":"2026-05-21T09:19:22Z","abstract_excerpt":"This report presents our solution for the WeatherProof Dataset Challenge, namely CVPR 2026 8th UG2+ Challenge Track 2: Semantic Segmentation in Adverse Weather. For the semantic segmentation task under adverse weather conditions, we propose a semi-supervised segmentation pipeline. Our method is trained exclusively on the WeatherProof dataset, without using any additional external data. Specifically, we adopt UniMatch V2 as the baseline model and treat all degraded-weather images as unlabeled data for semi-supervised training, thereby fully exploiting the data distribution provided by the chall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22216","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/2605.22216/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":"2026-05-22T01:04:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A7JI+I5sLmcCo4IYlzEoJFOw9nwTx7/qSPuBNk3wXQC4btrrDw+E6Fgu5GMU3ZDv+r1MnXa7fFOKebdRI/uUAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T08:05:01.639744Z"},"content_sha256":"8f1451413473a07ae226d433a0ccf66f6d2e32244b624ab55dfbb961a5d999cb","schema_version":"1.0","event_id":"sha256:8f1451413473a07ae226d433a0ccf66f6d2e32244b624ab55dfbb961a5d999cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ/bundle.json","state_url":"https://pith.science/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ/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":"2026-05-26T08:05:01Z","links":{"resolver":"https://pith.science/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ","bundle":"https://pith.science/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ/bundle.json","state":"https://pith.science/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/X7NJVQR3DKM7Y7JNARA2SOT3PJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:X7NJVQR3DKM7Y7JNARA2SOT3PJ","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":"24eebdfa9d64cbdc0e52ff6bcff144381d7fe9265ed6c8e9dce09abb77e839e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T09:19:22Z","title_canon_sha256":"2f98e6100c04ee6e6ed84e8d54e1af06249b5870e7e1a4c22244f5f1322bdc91"},"schema_version":"1.0","source":{"id":"2605.22216","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.22216","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"arxiv_version","alias_value":"2605.22216v1","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.22216","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"pith_short_12","alias_value":"X7NJVQR3DKM7","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"pith_short_16","alias_value":"X7NJVQR3DKM7Y7JN","created_at":"2026-05-22T01:04:32Z"},{"alias_kind":"pith_short_8","alias_value":"X7NJVQR3","created_at":"2026-05-22T01:04:32Z"}],"graph_snapshots":[{"event_id":"sha256:8f1451413473a07ae226d433a0ccf66f6d2e32244b624ab55dfbb961a5d999cb","target":"graph","created_at":"2026-05-22T01:04:32Z","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/2605.22216/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This report presents our solution for the WeatherProof Dataset Challenge, namely CVPR 2026 8th UG2+ Challenge Track 2: Semantic Segmentation in Adverse Weather. For the semantic segmentation task under adverse weather conditions, we propose a semi-supervised segmentation pipeline. Our method is trained exclusively on the WeatherProof dataset, without using any additional external data. Specifically, we adopt UniMatch V2 as the baseline model and treat all degraded-weather images as unlabeled data for semi-supervised training, thereby fully exploiting the data distribution provided by the chall","authors_text":"Fang Liu, Jinming Chai, Libo Yan, Licheng Jiao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T09:19:22Z","title":"A Robust Semantic Segmentation Pipeline for the CVPR 2026 8th UG2+ Challenge Track 2"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.22216","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:c933761e85c98e9f0b238af95919c2187616463c5db8ae89d7d2f889e0143af1","target":"record","created_at":"2026-05-22T01:04:32Z","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":"24eebdfa9d64cbdc0e52ff6bcff144381d7fe9265ed6c8e9dce09abb77e839e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T09:19:22Z","title_canon_sha256":"2f98e6100c04ee6e6ed84e8d54e1af06249b5870e7e1a4c22244f5f1322bdc91"},"schema_version":"1.0","source":{"id":"2605.22216","kind":"arxiv","version":1}},"canonical_sha256":"bfda9ac23b1a99fc7d2d0441a93a7b7a605690d5b6f2154b3c92a60fc5bb8702","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bfda9ac23b1a99fc7d2d0441a93a7b7a605690d5b6f2154b3c92a60fc5bb8702","first_computed_at":"2026-05-22T01:04:32.606947Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T01:04:32.606947Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xgjaWhdfhWdav+lHUEJGo2p/HboO+7O1uwNeqFhetr+iUgiY9HIMPjyv5fFDM0/4poKw2ZxyILBhxOGohzqgDg==","signature_status":"signed_v1","signed_at":"2026-05-22T01:04:32.607727Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.22216","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c933761e85c98e9f0b238af95919c2187616463c5db8ae89d7d2f889e0143af1","sha256:8f1451413473a07ae226d433a0ccf66f6d2e32244b624ab55dfbb961a5d999cb"],"state_sha256":"66dd9319d368d48c724910522523b9d8baa0a4574d38b22d484c251e1389b5e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WjlaRisYPWdSknchOH0utRO3EC4Z5Ojsdc/ari6G6rW6wi5oUgD4s+nc2k9os5qv1F6xOxs2TO1dymUdy6QPBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T08:05:01.643486Z","bundle_sha256":"77ed44131840d4f026f1cab21a86b81c596c889817e278fdda3b5d779682692a"}}