{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:AVVK337V2ZCYWF2AQPKJCSV6FA","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":"ce760db3bd8931ebb0193be3475a77b747e04858a3810c0bb0a014038ba47fc2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-06T17:10:44Z","title_canon_sha256":"86e8e11ca0e65b381514efc470b7c3f6081d6465504d6b19ade45c87876aa05c"},"schema_version":"1.0","source":{"id":"2205.03371","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.03371","created_at":"2026-07-05T05:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"2205.03371v1","created_at":"2026-07-05T05:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.03371","created_at":"2026-07-05T05:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"AVVK337V2ZCY","created_at":"2026-07-05T05:03:24Z"},{"alias_kind":"pith_short_16","alias_value":"AVVK337V2ZCYWF2A","created_at":"2026-07-05T05:03:24Z"},{"alias_kind":"pith_short_8","alias_value":"AVVK337V","created_at":"2026-07-05T05:03:24Z"}],"graph_snapshots":[{"event_id":"sha256:0c958fdff38a0266e57c85a122b06f4c92fcea09a212af5989fca982f15278aa","target":"graph","created_at":"2026-07-05T05:03:24Z","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/2205.03371/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Aerial scene classification remains challenging as: 1) the size of key objects in determining the scene scheme varies greatly; 2) many objects irrelevant to the scene scheme are often flooded in the image. Hence, how to effectively perceive the region of interests (RoIs) from a variety of sizes and build more discriminative representation from such complicated object distribution is vital to understand an aerial scene. In this paper, we propose a novel all grains, one scheme (AGOS) framework to tackle these challenges. To the best of our knowledge, it is the first work to extend the classic mu","authors_text":"Beichen Zhou, Gui-Song Xia, Kun Qin, Qi Bi, Qinghao Ye","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-06T17:10:44Z","title":"All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.03371","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":"sha256:69f824cc7cff069691f2a108c201da93e5aca3bf4fc66514b00ed0f2d254904d","target":"record","created_at":"2026-07-05T05:03:24Z","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":"ce760db3bd8931ebb0193be3475a77b747e04858a3810c0bb0a014038ba47fc2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-06T17:10:44Z","title_canon_sha256":"86e8e11ca0e65b381514efc470b7c3f6081d6465504d6b19ade45c87876aa05c"},"schema_version":"1.0","source":{"id":"2205.03371","kind":"arxiv","version":1}},"canonical_sha256":"056aadeff5d6458b174083d4914abe2800228d612be5634b26337a37ce744bcd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"056aadeff5d6458b174083d4914abe2800228d612be5634b26337a37ce744bcd","first_computed_at":"2026-07-05T05:03:24.582163Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:03:24.582163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1PmAww+RvR4AlLaduR/bMoZe4syw93WEJgkU9HELNW9xGmOZz6q6quLHwbx/tA8IUq5dmqgmq6uUUkza1Y+wBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:03:24.582542Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.03371","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:69f824cc7cff069691f2a108c201da93e5aca3bf4fc66514b00ed0f2d254904d","sha256:0c958fdff38a0266e57c85a122b06f4c92fcea09a212af5989fca982f15278aa"],"state_sha256":"95b8bb5e5144f018e0535ee6a4a5048de971b1225421d4561271c64b1a0d9c86"}