{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:IOUG7TNGHHPHGJ5463AG7ZXTR4","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":"cf23b51ade467ff0febfeb2b466c62dbf47c7c611956ee5f209139dcc0a03452","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-04T13:02:32Z","title_canon_sha256":"49ccae6451210f42810f4bc8e69c3212f0b027f11f8bb37f8e0af4fcca8fd45f"},"schema_version":"1.0","source":{"id":"2207.03335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.03335","created_at":"2026-07-05T04:38:21Z"},{"alias_kind":"arxiv_version","alias_value":"2207.03335v1","created_at":"2026-07-05T04:38:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.03335","created_at":"2026-07-05T04:38:21Z"},{"alias_kind":"pith_short_12","alias_value":"IOUG7TNGHHPH","created_at":"2026-07-05T04:38:21Z"},{"alias_kind":"pith_short_16","alias_value":"IOUG7TNGHHPHGJ54","created_at":"2026-07-05T04:38:21Z"},{"alias_kind":"pith_short_8","alias_value":"IOUG7TNG","created_at":"2026-07-05T04:38:21Z"}],"graph_snapshots":[{"event_id":"sha256:c4049bcd3a7834dece23fa5f20aaded7fb11cb8e561467c69c2dff5a845c9c57","target":"graph","created_at":"2026-07-05T04:38:21Z","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/2207.03335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While fine-tuning pre-trained networks has become a popular way to train image segmentation models, such backbone networks for image segmentation are frequently pre-trained using image classification source datasets, e.g., ImageNet. Though image classification datasets could provide the backbone networks with rich visual features and discriminative ability, they are incapable of fully pre-training the target model (i.e., backbone+segmentation modules) in an end-to-end manner. The segmentation modules are left to random initialization in the fine-tuning process due to the lack of segmentation l","authors_text":"Dejing Dou, Dingfu Zhou, Haoyi Xiong, Xuhong Li, Yaqing Wang, Yi Liu, Zeyu Chen","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-04T13:02:32Z","title":"Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.03335","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":"sha256:8022a3103a22d214b7e2fbcc6a255e9f87e2fea0a9f883e15f6a0d891432fb4a","target":"record","created_at":"2026-07-05T04:38:21Z","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":"cf23b51ade467ff0febfeb2b466c62dbf47c7c611956ee5f209139dcc0a03452","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-07-04T13:02:32Z","title_canon_sha256":"49ccae6451210f42810f4bc8e69c3212f0b027f11f8bb37f8e0af4fcca8fd45f"},"schema_version":"1.0","source":{"id":"2207.03335","kind":"arxiv","version":1}},"canonical_sha256":"43a86fcda639de7327bcf6c06fe6f38f165a869ef6ee307b70e132e589f92796","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"43a86fcda639de7327bcf6c06fe6f38f165a869ef6ee307b70e132e589f92796","first_computed_at":"2026-07-05T04:38:21.193412Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:38:21.193412Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O75deFK7ayUeLYLtASfV+drHOnkvvWHBc2aMe8/nuGbmFjzYiZv2M9et+xEqHVxr+gGieXFh4x3DTRoLJJF9CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:38:21.193739Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.03335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8022a3103a22d214b7e2fbcc6a255e9f87e2fea0a9f883e15f6a0d891432fb4a","sha256:c4049bcd3a7834dece23fa5f20aaded7fb11cb8e561467c69c2dff5a845c9c57"],"state_sha256":"975407f72d70bbfc4a6947b0995abea95d0f6aba12c7e2a2fd897d06a5a90069"}