{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FNIEMRTHVHCF7WWBTKT6OKKGBV","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":"e4a27eca3f60d53239b17a02553dac2f8d9f2ee461b1d53c3b108d336a4c9188","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-16T09:14:32Z","title_canon_sha256":"d335588cef81d2960ebc34a0ac30c446128fcc71cf284424e71af28327b74a89"},"schema_version":"1.0","source":{"id":"2412.11582","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.11582","created_at":"2026-07-05T09:49:48Z"},{"alias_kind":"arxiv_version","alias_value":"2412.11582v1","created_at":"2026-07-05T09:49:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.11582","created_at":"2026-07-05T09:49:48Z"},{"alias_kind":"pith_short_12","alias_value":"FNIEMRTHVHCF","created_at":"2026-07-05T09:49:48Z"},{"alias_kind":"pith_short_16","alias_value":"FNIEMRTHVHCF7WWB","created_at":"2026-07-05T09:49:48Z"},{"alias_kind":"pith_short_8","alias_value":"FNIEMRTH","created_at":"2026-07-05T09:49:48Z"}],"graph_snapshots":[{"event_id":"sha256:2a62dbc5f4fd49b1be6185039754b159ba72e7633c09bdc8197afeb6adf87940","target":"graph","created_at":"2026-07-05T09:49:48Z","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/2412.11582/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Detecting oriented tiny objects, which are limited in appearance information yet prevalent in real-world applications, remains an intricate and under-explored problem. To address this, we systemically introduce a new dataset, benchmark, and a dynamic coarse-to-fine learning scheme in this study. Our proposed dataset, AI-TOD-R, features the smallest object sizes among all oriented object detection datasets. Based on AI-TOD-R, we present a benchmark spanning a broad range of detection paradigms, including both fully-supervised and label-efficient approaches. Through investigation, we identify a ","authors_text":"Chang Xu, Fang Xu, Gui-Song Xia, Haoran Zhu, Jian Ding, Ruixiang Zhang, Wen Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-16T09:14:32Z","title":"Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.11582","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:fca52b30e83b0fd597c7e4d94954d9cdf5242f556b427c23a9f3f3772261bc7a","target":"record","created_at":"2026-07-05T09:49:48Z","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":"e4a27eca3f60d53239b17a02553dac2f8d9f2ee461b1d53c3b108d336a4c9188","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-16T09:14:32Z","title_canon_sha256":"d335588cef81d2960ebc34a0ac30c446128fcc71cf284424e71af28327b74a89"},"schema_version":"1.0","source":{"id":"2412.11582","kind":"arxiv","version":1}},"canonical_sha256":"2b50464667a9c45fdac19aa7e729460d7cb84e144bd62f8c82daf45bc4ec1bfc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b50464667a9c45fdac19aa7e729460d7cb84e144bd62f8c82daf45bc4ec1bfc","first_computed_at":"2026-07-05T09:49:48.108347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:49:48.108347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eB21zYwZujeWHUnimIZxfF0pTOhiUXrYfFnBubkZs5cpcXDeftYLOG4SV4/xWBqKVTsGNeiGPGdQ3le6nvDNAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:49:48.109067Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.11582","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fca52b30e83b0fd597c7e4d94954d9cdf5242f556b427c23a9f3f3772261bc7a","sha256:2a62dbc5f4fd49b1be6185039754b159ba72e7633c09bdc8197afeb6adf87940"],"state_sha256":"8df6fc39bfa5a8812412c675b62622b00e3b77fb1f6f8fac967dd9c2f01ee987"}