{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:C4G3653T4JQARH6KMFG76KJBTF","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":"6e90e0be6f9983ed62a99688db1d9ef4639d68fc099040e545b25ad65b5d08bf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T07:13:08Z","title_canon_sha256":"5f71da5d582ae16ae14f33d3989b9132324362ecf161c9d35c685a3438cbe150"},"schema_version":"1.0","source":{"id":"2408.05956","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.05956","created_at":"2026-07-05T10:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"2408.05956v3","created_at":"2026-07-05T10:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.05956","created_at":"2026-07-05T10:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"C4G3653T4JQA","created_at":"2026-07-05T10:59:59Z"},{"alias_kind":"pith_short_16","alias_value":"C4G3653T4JQARH6K","created_at":"2026-07-05T10:59:59Z"},{"alias_kind":"pith_short_8","alias_value":"C4G3653T","created_at":"2026-07-05T10:59:59Z"}],"graph_snapshots":[{"event_id":"sha256:609ec6676f3e73abb575c4d1504457163570dba4452f22db8f79aef267bb8519","target":"graph","created_at":"2026-07-05T10:59:59Z","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/2408.05956/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Currently, most crowd counting methods have outstanding performance under normal weather conditions. However, our experimental validation reveals two key obstacles limiting the accuracy improvement of crowd counting models: 1) the domain gap between the adverse weather and the normal weather images; 2) the weather class imbalance in the training set. To address the problems, we propose a two-stage crowd counting method named Multi-queue Contrastive Learning (MQCL). Specifically, in the first stage, our target is to equip the backbone network with weather-awareness capabilities. In this process","authors_text":"Tianhang Pan, Xiuyi Jia","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T07:13:08Z","title":"Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.05956","kind":"arxiv","version":3},"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":"sha256:1595b94f9ce96c789ddf0595a79cc6d310788b6c9744c455e8af9e00ac00b3a1","target":"record","created_at":"2026-07-05T10:59:59Z","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":"6e90e0be6f9983ed62a99688db1d9ef4639d68fc099040e545b25ad65b5d08bf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-08-12T07:13:08Z","title_canon_sha256":"5f71da5d582ae16ae14f33d3989b9132324362ecf161c9d35c685a3438cbe150"},"schema_version":"1.0","source":{"id":"2408.05956","kind":"arxiv","version":3}},"canonical_sha256":"170dbf7773e260089fca614dff2921995f67947671ce7ef1db3bb48906dde0d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"170dbf7773e260089fca614dff2921995f67947671ce7ef1db3bb48906dde0d0","first_computed_at":"2026-07-05T10:59:59.456507Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:59:59.456507Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9+xxuViznuDOvQYpwIvBDA+KwrJZaAlGXx6FZIeuBMXeSosXqJe85B1hDJcUcLiZtpvhRaGDE9whVo8NQrc1Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:59:59.456948Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.05956","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1595b94f9ce96c789ddf0595a79cc6d310788b6c9744c455e8af9e00ac00b3a1","sha256:609ec6676f3e73abb575c4d1504457163570dba4452f22db8f79aef267bb8519"],"state_sha256":"05d736a929f14dec93a10a80ee2a0562880afe0ac97de9a3a48b0e799ce9f2f2"}