{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NBLH5W7IZIOPKDPYS5BQ7JJJ5Q","short_pith_number":"pith:NBLH5W7I","canonical_record":{"source":{"id":"1704.00138","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-01T08:32:40Z","cross_cats_sorted":[],"title_canon_sha256":"26641c06a8810f825e1377d361aab5d99f2cfb49ded79f0ef5cf2dc0c7b03703","abstract_canon_sha256":"9cb960de52bcca2dca7eb56bca01c99d907ffeef6d1787be2cc491b3a09d9eff"},"schema_version":"1.0"},"canonical_sha256":"68567edbe8ca1cf50df897430fa529ec2ba0e2ba5498d18ca9d1153e1b6f2a9b","source":{"kind":"arxiv","id":"1704.00138","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.00138","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"1704.00138v1","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00138","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"NBLH5W7IZIOP","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NBLH5W7IZIOPKDPY","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NBLH5W7I","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NBLH5W7IZIOPKDPYS5BQ7JJJ5Q","target":"record","payload":{"canonical_record":{"source":{"id":"1704.00138","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-01T08:32:40Z","cross_cats_sorted":[],"title_canon_sha256":"26641c06a8810f825e1377d361aab5d99f2cfb49ded79f0ef5cf2dc0c7b03703","abstract_canon_sha256":"9cb960de52bcca2dca7eb56bca01c99d907ffeef6d1787be2cc491b3a09d9eff"},"schema_version":"1.0"},"canonical_sha256":"68567edbe8ca1cf50df897430fa529ec2ba0e2ba5498d18ca9d1153e1b6f2a9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:25.347123Z","signature_b64":"MPOCxi53A5dtxZH6BMyGEoa6t8JBWL2UlzEIka3iat8erB2XNiNi5fGm1IB64cXIjoW7vn13M3hatP6tilZDCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"68567edbe8ca1cf50df897430fa529ec2ba0e2ba5498d18ca9d1153e1b6f2a9b","last_reissued_at":"2026-05-18T00:47:25.346285Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:25.346285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.00138","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":"2026-05-18T00:47:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n0FbiZyaZneepGXULRxKZUSuynspTytRTvzi4cvpDnCivKFjJ/EVn53N0kOBOH4ZmxK8m0/X6NA1i19d2ym2Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:11:21.210002Z"},"content_sha256":"24144c71bc935a81d95e44055c7051a7ef1e2192065d5d64e86063e98812df7d","schema_version":"1.0","event_id":"sha256:24144c71bc935a81d95e44055c7051a7ef1e2192065d5d64e86063e98812df7d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NBLH5W7IZIOPKDPYS5BQ7JJJ5Q","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multiple Instance Detection Network with Online Instance Classifier Refinement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Peng Tang, Wenyu Liu, Xiang Bai, Xinggang Wang","submitted_at":"2017-04-01T08:32:40Z","abstract_excerpt":"Of late, weakly supervised object detection is with great importance in object recognition. Based on deep learning, weakly supervised detectors have achieved many promising results. However, compared with fully supervised detection, it is more challenging to train deep network based detectors in a weakly supervised manner. Here we formulate weakly supervised detection as a Multiple Instance Learning (MIL) problem, where instance classifiers (object detectors) are put into the network as hidden nodes. We propose a novel online instance classifier refinement algorithm to integrate MIL and the in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00138","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":"2026-05-18T00:47:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZfFR4167fFINLXPFwibIk7pUUMQKkyosd5oZNC3yDAfQIoJMxHHzlmd8yRmtp9eUpQHmRulfc3VYk72KxDUgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T18:11:21.210368Z"},"content_sha256":"bb4f17f9abdb47450e8dc5d72fa612a265f70e5783e7f8d69ab5f0f70f8c3635","schema_version":"1.0","event_id":"sha256:bb4f17f9abdb47450e8dc5d72fa612a265f70e5783e7f8d69ab5f0f70f8c3635"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q/bundle.json","state_url":"https://pith.science/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q/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":"2026-06-01T18:11:21Z","links":{"resolver":"https://pith.science/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q","bundle":"https://pith.science/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q/bundle.json","state":"https://pith.science/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBLH5W7IZIOPKDPYS5BQ7JJJ5Q/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NBLH5W7IZIOPKDPYS5BQ7JJJ5Q","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":"9cb960de52bcca2dca7eb56bca01c99d907ffeef6d1787be2cc491b3a09d9eff","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-01T08:32:40Z","title_canon_sha256":"26641c06a8810f825e1377d361aab5d99f2cfb49ded79f0ef5cf2dc0c7b03703"},"schema_version":"1.0","source":{"id":"1704.00138","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.00138","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"arxiv_version","alias_value":"1704.00138v1","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.00138","created_at":"2026-05-18T00:47:25Z"},{"alias_kind":"pith_short_12","alias_value":"NBLH5W7IZIOP","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NBLH5W7IZIOPKDPY","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NBLH5W7I","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:bb4f17f9abdb47450e8dc5d72fa612a265f70e5783e7f8d69ab5f0f70f8c3635","target":"graph","created_at":"2026-05-18T00:47:25Z","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":"Of late, weakly supervised object detection is with great importance in object recognition. Based on deep learning, weakly supervised detectors have achieved many promising results. However, compared with fully supervised detection, it is more challenging to train deep network based detectors in a weakly supervised manner. Here we formulate weakly supervised detection as a Multiple Instance Learning (MIL) problem, where instance classifiers (object detectors) are put into the network as hidden nodes. We propose a novel online instance classifier refinement algorithm to integrate MIL and the in","authors_text":"Peng Tang, Wenyu Liu, Xiang Bai, Xinggang Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-01T08:32:40Z","title":"Multiple Instance Detection Network with Online Instance Classifier Refinement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.00138","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":"sha256:24144c71bc935a81d95e44055c7051a7ef1e2192065d5d64e86063e98812df7d","target":"record","created_at":"2026-05-18T00:47:25Z","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":"9cb960de52bcca2dca7eb56bca01c99d907ffeef6d1787be2cc491b3a09d9eff","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-01T08:32:40Z","title_canon_sha256":"26641c06a8810f825e1377d361aab5d99f2cfb49ded79f0ef5cf2dc0c7b03703"},"schema_version":"1.0","source":{"id":"1704.00138","kind":"arxiv","version":1}},"canonical_sha256":"68567edbe8ca1cf50df897430fa529ec2ba0e2ba5498d18ca9d1153e1b6f2a9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68567edbe8ca1cf50df897430fa529ec2ba0e2ba5498d18ca9d1153e1b6f2a9b","first_computed_at":"2026-05-18T00:47:25.346285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:25.346285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MPOCxi53A5dtxZH6BMyGEoa6t8JBWL2UlzEIka3iat8erB2XNiNi5fGm1IB64cXIjoW7vn13M3hatP6tilZDCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:25.347123Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.00138","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24144c71bc935a81d95e44055c7051a7ef1e2192065d5d64e86063e98812df7d","sha256:bb4f17f9abdb47450e8dc5d72fa612a265f70e5783e7f8d69ab5f0f70f8c3635"],"state_sha256":"70f3b9504e53a910447444d5c1bdc400cc503394b11bd983a370b4bf1db90d65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B6HpoeNKe5OovWRNyjLR8ruAUzqKq6YFclh6PoK9on/zEPgKStzNhwKF3hvRsRztSKAjcszxFqf3MF4EoVpOAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T18:11:21.212252Z","bundle_sha256":"3adee4d152c51f30cef1a24450769e895b3a66a34c222ab4061a4364ec81c272"}}