{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:QYIDR5GTRA4J4QDGBZWWE4PLOH","short_pith_number":"pith:QYIDR5GT","canonical_record":{"source":{"id":"2412.05837","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T07:13:17Z","cross_cats_sorted":[],"title_canon_sha256":"da7462e63a0465a2bf07a32b516afb51b3b970c24ae58199aec3e015c61985f5","abstract_canon_sha256":"a1ff5cf0d31f439f69a884bd4d9a6a9b32d8410dc97bb9e5a1b2eadbb97f8252"},"schema_version":"1.0"},"canonical_sha256":"861038f4d388389e40660e6d6271eb71f40444d52dd848782d8bacdd266f65c4","source":{"kind":"arxiv","id":"2412.05837","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05837","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05837v1","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05837","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"pith_short_12","alias_value":"QYIDR5GTRA4J","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"pith_short_16","alias_value":"QYIDR5GTRA4J4QDG","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"pith_short_8","alias_value":"QYIDR5GT","created_at":"2026-07-05T09:46:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:QYIDR5GTRA4J4QDGBZWWE4PLOH","target":"record","payload":{"canonical_record":{"source":{"id":"2412.05837","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T07:13:17Z","cross_cats_sorted":[],"title_canon_sha256":"da7462e63a0465a2bf07a32b516afb51b3b970c24ae58199aec3e015c61985f5","abstract_canon_sha256":"a1ff5cf0d31f439f69a884bd4d9a6a9b32d8410dc97bb9e5a1b2eadbb97f8252"},"schema_version":"1.0"},"canonical_sha256":"861038f4d388389e40660e6d6271eb71f40444d52dd848782d8bacdd266f65c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:10.161798Z","signature_b64":"uveUgFTv6zKskN2jKyx31qhbMY5lGz5xWUXl1mGkRf+7SAu63nLawHpTFFkZGWRF6HLN19tMdobqgLxZtJ/4DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"861038f4d388389e40660e6d6271eb71f40444d52dd848782d8bacdd266f65c4","last_reissued_at":"2026-07-05T09:46:10.161327Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:10.161327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.05837","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":"2026-07-05T09:46:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P3iUAWB27A+Hnf7jbkGf6EUau8fMMuMno+p4ZcsvCusXAuXlgA27Fl5EVOKUFq0P40x4rKg5rXw3huoebActBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:41:09.545008Z"},"content_sha256":"206cc5b17c1955cf2c5189ae4c7921fc3afd3087da23e59ea9161f4c0f5f2fc4","schema_version":"1.0","event_id":"sha256:206cc5b17c1955cf2c5189ae4c7921fc3afd3087da23e59ea9161f4c0f5f2fc4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:QYIDR5GTRA4J4QDGBZWWE4PLOH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Tiny Object Detection with Single Point Supervision","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chang Xu, Fang Xu, Gui-Song Xia, Haijian Zhang, Haoran Zhu, Ruixiang Zhang, Wen Yang","submitted_at":"2024-12-08T07:13:17Z","abstract_excerpt":"Tiny objects, with their limited spatial resolution, often resemble point-like distributions. As a result, bounding box prediction using point-level supervision emerges as a natural and cost-effective alternative to traditional box-level supervision. However, the small scale and lack of distinctive features of tiny objects make point annotations prone to noise, posing significant hurdles for model robustness. To tackle these challenges, we propose Point Teacher--the first end-to-end point-supervised method for robust tiny object detection in aerial images. To handle label noise from scale ambi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05837","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/2412.05837/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":"2026-07-05T09:46:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pYtYNyXB6DUvcLN8w1Iw7+FXydF7C7mNdrkRzgSutEXLAoyZsjoW9NsJG4dfPHZ2dyc6PwdzfsnMyQOgNbfzBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:41:09.545679Z"},"content_sha256":"37aa2c1ff8c41fbf5e6ed9f09a526c83fd2c97609d11d4cee555e89991d41b0b","schema_version":"1.0","event_id":"sha256:37aa2c1ff8c41fbf5e6ed9f09a526c83fd2c97609d11d4cee555e89991d41b0b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH/bundle.json","state_url":"https://pith.science/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH/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":"2026-08-15T22:41:09Z","links":{"resolver":"https://pith.science/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH","bundle":"https://pith.science/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH/bundle.json","state":"https://pith.science/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QYIDR5GTRA4J4QDGBZWWE4PLOH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:QYIDR5GTRA4J4QDGBZWWE4PLOH","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":"a1ff5cf0d31f439f69a884bd4d9a6a9b32d8410dc97bb9e5a1b2eadbb97f8252","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T07:13:17Z","title_canon_sha256":"da7462e63a0465a2bf07a32b516afb51b3b970c24ae58199aec3e015c61985f5"},"schema_version":"1.0","source":{"id":"2412.05837","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05837","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05837v1","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05837","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"pith_short_12","alias_value":"QYIDR5GTRA4J","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"pith_short_16","alias_value":"QYIDR5GTRA4J4QDG","created_at":"2026-07-05T09:46:10Z"},{"alias_kind":"pith_short_8","alias_value":"QYIDR5GT","created_at":"2026-07-05T09:46:10Z"}],"graph_snapshots":[{"event_id":"sha256:37aa2c1ff8c41fbf5e6ed9f09a526c83fd2c97609d11d4cee555e89991d41b0b","target":"graph","created_at":"2026-07-05T09:46:10Z","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/2412.05837/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Tiny objects, with their limited spatial resolution, often resemble point-like distributions. As a result, bounding box prediction using point-level supervision emerges as a natural and cost-effective alternative to traditional box-level supervision. However, the small scale and lack of distinctive features of tiny objects make point annotations prone to noise, posing significant hurdles for model robustness. To tackle these challenges, we propose Point Teacher--the first end-to-end point-supervised method for robust tiny object detection in aerial images. To handle label noise from scale ambi","authors_text":"Chang Xu, Fang Xu, Gui-Song Xia, Haijian Zhang, Haoran Zhu, Ruixiang Zhang, Wen Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T07:13:17Z","title":"Tiny Object Detection with Single Point Supervision"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05837","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":"sha256:206cc5b17c1955cf2c5189ae4c7921fc3afd3087da23e59ea9161f4c0f5f2fc4","target":"record","created_at":"2026-07-05T09:46:10Z","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":"a1ff5cf0d31f439f69a884bd4d9a6a9b32d8410dc97bb9e5a1b2eadbb97f8252","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-08T07:13:17Z","title_canon_sha256":"da7462e63a0465a2bf07a32b516afb51b3b970c24ae58199aec3e015c61985f5"},"schema_version":"1.0","source":{"id":"2412.05837","kind":"arxiv","version":1}},"canonical_sha256":"861038f4d388389e40660e6d6271eb71f40444d52dd848782d8bacdd266f65c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"861038f4d388389e40660e6d6271eb71f40444d52dd848782d8bacdd266f65c4","first_computed_at":"2026-07-05T09:46:10.161327Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:10.161327Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uveUgFTv6zKskN2jKyx31qhbMY5lGz5xWUXl1mGkRf+7SAu63nLawHpTFFkZGWRF6HLN19tMdobqgLxZtJ/4DA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:10.161798Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.05837","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:206cc5b17c1955cf2c5189ae4c7921fc3afd3087da23e59ea9161f4c0f5f2fc4","sha256:37aa2c1ff8c41fbf5e6ed9f09a526c83fd2c97609d11d4cee555e89991d41b0b"],"state_sha256":"e2616539fe4595e9fd1b837c3838ba5748ee1887868e5f6ec092512e6562c506"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cM0/H0mzzKPG2owRYatb+9s4y03kxA8WNx2UWVJg6Phbp4qf5XSHZZLZ/K+R7RxDqr2HwTjwxH6IRUm/86YFBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T22:41:09.553750Z","bundle_sha256":"950f7e447f0dc015498f687b80bd9910b5054344d71f6a0e657ce7abca356264"}}