{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:QZOXRDDOZTSEIGGVFZMPJIZZGX","short_pith_number":"pith:QZOXRDDO","canonical_record":{"source":{"id":"1703.01290","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-03T18:55:10Z","cross_cats_sorted":[],"title_canon_sha256":"457d71426f6d270f7081d16853f81e8ade3983fab343f647b1dc4a68650fc41c","abstract_canon_sha256":"eb8eec8a602e4502e8edc3df46f0d471c71a313a964d3e7afe39de2cdce4ae71"},"schema_version":"1.0"},"canonical_sha256":"865d788c6ecce44418d52e58f4a33935f34031432e88169b62ba4e26382d0227","source":{"kind":"arxiv","id":"1703.01290","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01290","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01290v1","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01290","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"pith_short_12","alias_value":"QZOXRDDOZTSE","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QZOXRDDOZTSEIGGV","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QZOXRDDO","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:QZOXRDDOZTSEIGGVFZMPJIZZGX","target":"record","payload":{"canonical_record":{"source":{"id":"1703.01290","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-03T18:55:10Z","cross_cats_sorted":[],"title_canon_sha256":"457d71426f6d270f7081d16853f81e8ade3983fab343f647b1dc4a68650fc41c","abstract_canon_sha256":"eb8eec8a602e4502e8edc3df46f0d471c71a313a964d3e7afe39de2cdce4ae71"},"schema_version":"1.0"},"canonical_sha256":"865d788c6ecce44418d52e58f4a33935f34031432e88169b62ba4e26382d0227","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:35.493507Z","signature_b64":"SDNd0twRDAcQgwcSHljQx09o26jtfOw+fjlOCpaJkRSKNfgfgNSz/9h49vyVE04nP94zKIoMoW/LinQuHTCAAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"865d788c6ecce44418d52e58f4a33935f34031432e88169b62ba4e26382d0227","last_reissued_at":"2026-05-18T00:49:35.492878Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:35.492878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.01290","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":"2026-05-18T00:49:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W3qltDMR00Q83proi629fzfPXcoRhk2reOWux2aG9CMAn2ERRCaktblDPQ2taRBrYJj6A3saTjZAHr/PXw0aCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T19:56:58.692587Z"},"content_sha256":"126722810b4c1a169bd2fcec543cf848bd6714a9fc7a5b75be5b144a1de8383f","schema_version":"1.0","event_id":"sha256:126722810b4c1a169bd2fcec543cf848bd6714a9fc7a5b75be5b144a1de8383f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:QZOXRDDOZTSEIGGVFZMPJIZZGX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Deyu Meng, Dingwen Zhang, Junwei Han, Long Zhao","submitted_at":"2017-03-03T18:55:10Z","abstract_excerpt":"Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak image-level labels. Intuitively, by simulating the selective attention mechanism of human visual system, saliency detection technique can select attractive objects in scenes and thus is a potential way to provide useful priors for WOD. However, the way to adopt saliency detection in WOD is not trivial since the detected saliency region might be "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01290","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":""},"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":"2026-05-18T00:49:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xwpm9sYTbWNmoUryrIzUjVoAVA0Idj2hbmoLeyMMKScQP9saqQzUeuW1C6YSYgoPG25PNM/Nvt/D/OcVndygDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T19:56:58.693319Z"},"content_sha256":"cc37e75a633c8c66694941229dcb90501e30ccf4d7ed801c1f5f3ba07dd1e772","schema_version":"1.0","event_id":"sha256:cc37e75a633c8c66694941229dcb90501e30ccf4d7ed801c1f5f3ba07dd1e772"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX/bundle.json","state_url":"https://pith.science/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX/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":"2026-08-12T19:56:58Z","links":{"resolver":"https://pith.science/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX","bundle":"https://pith.science/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX/bundle.json","state":"https://pith.science/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QZOXRDDOZTSEIGGVFZMPJIZZGX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:QZOXRDDOZTSEIGGVFZMPJIZZGX","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":"eb8eec8a602e4502e8edc3df46f0d471c71a313a964d3e7afe39de2cdce4ae71","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-03T18:55:10Z","title_canon_sha256":"457d71426f6d270f7081d16853f81e8ade3983fab343f647b1dc4a68650fc41c"},"schema_version":"1.0","source":{"id":"1703.01290","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.01290","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"arxiv_version","alias_value":"1703.01290v1","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.01290","created_at":"2026-05-18T00:49:35Z"},{"alias_kind":"pith_short_12","alias_value":"QZOXRDDOZTSE","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"QZOXRDDOZTSEIGGV","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"QZOXRDDO","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:cc37e75a633c8c66694941229dcb90501e30ccf4d7ed801c1f5f3ba07dd1e772","target":"graph","created_at":"2026-05-18T00:49:35Z","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"},"paper":{"abstract_excerpt":"Weakly-supervised object detection (WOD) is a challenging problems in computer vision. The key problem is to simultaneously infer the exact object locations in the training images and train the object detectors, given only the training images with weak image-level labels. Intuitively, by simulating the selective attention mechanism of human visual system, saliency detection technique can select attractive objects in scenes and thus is a potential way to provide useful priors for WOD. However, the way to adopt saliency detection in WOD is not trivial since the detected saliency region might be ","authors_text":"Deyu Meng, Dingwen Zhang, Junwei Han, Long Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-03T18:55:10Z","title":"Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.01290","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":"sha256:126722810b4c1a169bd2fcec543cf848bd6714a9fc7a5b75be5b144a1de8383f","target":"record","created_at":"2026-05-18T00:49:35Z","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":"eb8eec8a602e4502e8edc3df46f0d471c71a313a964d3e7afe39de2cdce4ae71","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-03T18:55:10Z","title_canon_sha256":"457d71426f6d270f7081d16853f81e8ade3983fab343f647b1dc4a68650fc41c"},"schema_version":"1.0","source":{"id":"1703.01290","kind":"arxiv","version":1}},"canonical_sha256":"865d788c6ecce44418d52e58f4a33935f34031432e88169b62ba4e26382d0227","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"865d788c6ecce44418d52e58f4a33935f34031432e88169b62ba4e26382d0227","first_computed_at":"2026-05-18T00:49:35.492878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:35.492878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SDNd0twRDAcQgwcSHljQx09o26jtfOw+fjlOCpaJkRSKNfgfgNSz/9h49vyVE04nP94zKIoMoW/LinQuHTCAAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:35.493507Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.01290","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:126722810b4c1a169bd2fcec543cf848bd6714a9fc7a5b75be5b144a1de8383f","sha256:cc37e75a633c8c66694941229dcb90501e30ccf4d7ed801c1f5f3ba07dd1e772"],"state_sha256":"206fa3ce553efb811d13cab36391bb9b1b60248c1a8291a788ddfaa5edf88a1d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N7QKV01JZVlh23GAxtYv3XLn2v722idfrQUl1anUoIypXAMGiUIHSd8SVbDZawgCxcn7AMHncsFfZ1L0vtF4Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T19:56:58.699194Z","bundle_sha256":"a8407297893b8ab13a5714d6e2c16176d66ef81de4f36032b18bd36592d3ec66"}}