{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:5HGBMOBETJ3IGWIHBFEITHCQR7","short_pith_number":"pith:5HGBMOBE","canonical_record":{"source":{"id":"1801.03145","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-09T21:29:12Z","cross_cats_sorted":[],"title_canon_sha256":"1e49df52d57216941838ce7b28902669298166128b4c3fc98220d93c2e022552","abstract_canon_sha256":"650d8889fc70e9685e1cab9f01969047f11eae0580a5273c72812e9e5dcc351a"},"schema_version":"1.0"},"canonical_sha256":"e9cc1638249a768359070948899c508fe0565a88ac70e65248ef1aef2ce60a94","source":{"kind":"arxiv","id":"1801.03145","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.03145","created_at":"2026-05-18T00:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"1801.03145v2","created_at":"2026-05-18T00:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.03145","created_at":"2026-05-18T00:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"5HGBMOBETJ3I","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5HGBMOBETJ3IGWIH","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5HGBMOBE","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:5HGBMOBETJ3IGWIHBFEITHCQR7","target":"record","payload":{"canonical_record":{"source":{"id":"1801.03145","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-09T21:29:12Z","cross_cats_sorted":[],"title_canon_sha256":"1e49df52d57216941838ce7b28902669298166128b4c3fc98220d93c2e022552","abstract_canon_sha256":"650d8889fc70e9685e1cab9f01969047f11eae0580a5273c72812e9e5dcc351a"},"schema_version":"1.0"},"canonical_sha256":"e9cc1638249a768359070948899c508fe0565a88ac70e65248ef1aef2ce60a94","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:21:20.667357Z","signature_b64":"qs1LaVyXIM+0q/0HZ5TBPFTQTKmSkDJiLQSlM/z8gA42uaT//1n7fvT3IafbCbZLQONVWd5CdMPseultAWP6Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9cc1638249a768359070948899c508fe0565a88ac70e65248ef1aef2ce60a94","last_reissued_at":"2026-05-18T00:21:20.664488Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:21:20.664488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.03145","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:21:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fO333QJ2mztneLGcnxpdRCHJaHBAofQmKfxmZk4nn2/A53RquQtbyH13g1gKzgCw0AhUE1ccVWPOX6eJGakMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T14:15:34.551291Z"},"content_sha256":"85db659805e021451e08bbf620ecf1a3bff5dd503444be43bffdfc5efedb5ab0","schema_version":"1.0","event_id":"sha256:85db659805e021451e08bbf620ecf1a3bff5dd503444be43bffdfc5efedb5ab0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:5HGBMOBETJ3IGWIHBFEITHCQR7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boyang Gao, Emmanuel Dellandrea, Josiah Wang, Liming Chen, Robert Gaizauskas, Xiaofang Wang, Yuxing Tang","submitted_at":"2018-01-09T21:29:12Z","abstract_excerpt":"Deep CNN-based object detection systems have achieved remarkable success on several large-scale object detection benchmarks. However, training such detectors requires a large number of labeled bounding boxes, which are more difficult to obtain than image-level annotations. Previous work addresses this issue by transforming image-level classifiers into object detectors. This is done by modeling the differences between the two on categories with both image-level and bounding box annotations, and transferring this information to convert classifiers to detectors for categories without bounding box"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.03145","kind":"arxiv","version":2},"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":"2026-05-18T00:21:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9xGelNngCC97QocjdnrLWZBa2UMEib65XMcIYIe5rbCfjbSoI8uBNmlN6Q4tC6Tm15RmAKGDkadbDZ1k2nlRDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T14:15:34.551950Z"},"content_sha256":"6b7ed8d24eeb237e2b211a0a5a45da2c4ed9f1faabaf86cae86381dd0e45de90","schema_version":"1.0","event_id":"sha256:6b7ed8d24eeb237e2b211a0a5a45da2c4ed9f1faabaf86cae86381dd0e45de90"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5HGBMOBETJ3IGWIHBFEITHCQR7/bundle.json","state_url":"https://pith.science/pith/5HGBMOBETJ3IGWIHBFEITHCQR7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5HGBMOBETJ3IGWIHBFEITHCQR7/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":"2026-05-30T14:15:34Z","links":{"resolver":"https://pith.science/pith/5HGBMOBETJ3IGWIHBFEITHCQR7","bundle":"https://pith.science/pith/5HGBMOBETJ3IGWIHBFEITHCQR7/bundle.json","state":"https://pith.science/pith/5HGBMOBETJ3IGWIHBFEITHCQR7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5HGBMOBETJ3IGWIHBFEITHCQR7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5HGBMOBETJ3IGWIHBFEITHCQR7","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":"650d8889fc70e9685e1cab9f01969047f11eae0580a5273c72812e9e5dcc351a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-09T21:29:12Z","title_canon_sha256":"1e49df52d57216941838ce7b28902669298166128b4c3fc98220d93c2e022552"},"schema_version":"1.0","source":{"id":"1801.03145","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.03145","created_at":"2026-05-18T00:21:20Z"},{"alias_kind":"arxiv_version","alias_value":"1801.03145v2","created_at":"2026-05-18T00:21:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.03145","created_at":"2026-05-18T00:21:20Z"},{"alias_kind":"pith_short_12","alias_value":"5HGBMOBETJ3I","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5HGBMOBETJ3IGWIH","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5HGBMOBE","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:6b7ed8d24eeb237e2b211a0a5a45da2c4ed9f1faabaf86cae86381dd0e45de90","target":"graph","created_at":"2026-05-18T00:21:20Z","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":"Deep CNN-based object detection systems have achieved remarkable success on several large-scale object detection benchmarks. However, training such detectors requires a large number of labeled bounding boxes, which are more difficult to obtain than image-level annotations. Previous work addresses this issue by transforming image-level classifiers into object detectors. This is done by modeling the differences between the two on categories with both image-level and bounding box annotations, and transferring this information to convert classifiers to detectors for categories without bounding box","authors_text":"Boyang Gao, Emmanuel Dellandrea, Josiah Wang, Liming Chen, Robert Gaizauskas, Xiaofang Wang, Yuxing Tang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-09T21:29:12Z","title":"Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.03145","kind":"arxiv","version":2},"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":"sha256:85db659805e021451e08bbf620ecf1a3bff5dd503444be43bffdfc5efedb5ab0","target":"record","created_at":"2026-05-18T00:21:20Z","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":"650d8889fc70e9685e1cab9f01969047f11eae0580a5273c72812e9e5dcc351a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-09T21:29:12Z","title_canon_sha256":"1e49df52d57216941838ce7b28902669298166128b4c3fc98220d93c2e022552"},"schema_version":"1.0","source":{"id":"1801.03145","kind":"arxiv","version":2}},"canonical_sha256":"e9cc1638249a768359070948899c508fe0565a88ac70e65248ef1aef2ce60a94","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9cc1638249a768359070948899c508fe0565a88ac70e65248ef1aef2ce60a94","first_computed_at":"2026-05-18T00:21:20.664488Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:21:20.664488Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qs1LaVyXIM+0q/0HZ5TBPFTQTKmSkDJiLQSlM/z8gA42uaT//1n7fvT3IafbCbZLQONVWd5CdMPseultAWP6Bw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:21:20.667357Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.03145","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85db659805e021451e08bbf620ecf1a3bff5dd503444be43bffdfc5efedb5ab0","sha256:6b7ed8d24eeb237e2b211a0a5a45da2c4ed9f1faabaf86cae86381dd0e45de90"],"state_sha256":"41448ae45505fa837fc91eee552b86b5d7a2258c592ce4e3d46bd1fe7ad5d54b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O4dN1wdSpora/JMRc+XJAjjD812C8pEU39IAQxoHYcTE/UFpih1ymSS5rwkSAAerLMXTiUuHbkbSFCHNlUorBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T14:15:34.555430Z","bundle_sha256":"7779af2ca91462069526803edfd2bb339d294c334c196ac979ec60c02eb9bd27"}}