{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:QMDZHHYJXINVTSERS4BLUFHTIP","short_pith_number":"pith:QMDZHHYJ","canonical_record":{"source":{"id":"2203.10196","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-19T00:10:18Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e67e19ef67bcbca5b5933ccaa82c4483bf32c4ed639c088ed9cf94f8b574f4db","abstract_canon_sha256":"bdb94337660fd06409425381d1c5be148bf90da690abe1bb03cde5dc8ecb9d04"},"schema_version":"1.0"},"canonical_sha256":"8307939f09ba1b59c8919702ba14f343dcf8bcba90c9b1f58f98d36ec67b8992","source":{"kind":"arxiv","id":"2203.10196","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.10196","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2203.10196v2","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.10196","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"QMDZHHYJXINV","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"QMDZHHYJXINVTSER","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"QMDZHHYJ","created_at":"2026-07-05T04:10:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:QMDZHHYJXINVTSERS4BLUFHTIP","target":"record","payload":{"canonical_record":{"source":{"id":"2203.10196","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-19T00:10:18Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"e67e19ef67bcbca5b5933ccaa82c4483bf32c4ed639c088ed9cf94f8b574f4db","abstract_canon_sha256":"bdb94337660fd06409425381d1c5be148bf90da690abe1bb03cde5dc8ecb9d04"},"schema_version":"1.0"},"canonical_sha256":"8307939f09ba1b59c8919702ba14f343dcf8bcba90c9b1f58f98d36ec67b8992","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:10:53.963820Z","signature_b64":"SaWVKPx73x7bz9zVqQsTh5s7UCeGV+Ig4pLcoxaWyLfGhnQdL6TGxUxftkID6aIPYm3zsjWKnc/XtZiYph+bBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8307939f09ba1b59c8919702ba14f343dcf8bcba90c9b1f58f98d36ec67b8992","last_reissued_at":"2026-07-05T04:10:53.963370Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:10:53.963370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.10196","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":"2026-07-05T04:10:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S1LQ+FRk6EqSLm7YARfe59GuR7y/BWAX9KKvUL8pPa+OebYrx7/kjqrUl+poUEj+7QnTERtT+PkdCU4EVWe9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:57:39.190502Z"},"content_sha256":"5fefa84324e2a4d6eea5ba6b97463de61a57150ab418138318bcc46dc83c0b10","schema_version":"1.0","event_id":"sha256:5fefa84324e2a4d6eea5ba6b97463de61a57150ab418138318bcc46dc83c0b10"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:QMDZHHYJXINVTSERS4BLUFHTIP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chen Jin, Daniel C. Alexander, Frederick J Wilson, Joseph Jacob, Marius deGroot, Mou-Cheng Xu, Neil P. Oxtoby, Stefano B Blumberg, Yu-Kun Zhou","submitted_at":"2022-03-19T00:10:18Z","abstract_excerpt":"We propose MisMatch, a novel consistency-driven semi-supervised segmentation framework which produces predictions that are invariant to learnt feature perturbations. MisMatch consists of an encoder and a two-head decoders. One decoder learns positive attention to the foreground regions of interest (RoI) on unlabelled images thereby generating dilated features. The other decoder learns negative attention to the foreground on the same unlabelled images thereby generating eroded features. We then apply a consistency regularisation on the paired predictions. MisMatch outperforms state-of-the-art s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.10196","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2203.10196/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":"2026-07-05T04:10:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AU8rLz2ResQfIXRN77QE8V6uSTOHkE07SPm6ooTjmJvXEVro3w7d8GpIMViTjoaPWgWulOa33e7nvDOtCkYCDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T22:57:39.191030Z"},"content_sha256":"d612a37d0b93e93bf36f8588632229724795b34b1af6c2738f88f24ddc1cef4c","schema_version":"1.0","event_id":"sha256:d612a37d0b93e93bf36f8588632229724795b34b1af6c2738f88f24ddc1cef4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QMDZHHYJXINVTSERS4BLUFHTIP/bundle.json","state_url":"https://pith.science/pith/QMDZHHYJXINVTSERS4BLUFHTIP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QMDZHHYJXINVTSERS4BLUFHTIP/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":"2026-08-15T22:57:39Z","links":{"resolver":"https://pith.science/pith/QMDZHHYJXINVTSERS4BLUFHTIP","bundle":"https://pith.science/pith/QMDZHHYJXINVTSERS4BLUFHTIP/bundle.json","state":"https://pith.science/pith/QMDZHHYJXINVTSERS4BLUFHTIP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QMDZHHYJXINVTSERS4BLUFHTIP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QMDZHHYJXINVTSERS4BLUFHTIP","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":"bdb94337660fd06409425381d1c5be148bf90da690abe1bb03cde5dc8ecb9d04","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-19T00:10:18Z","title_canon_sha256":"e67e19ef67bcbca5b5933ccaa82c4483bf32c4ed639c088ed9cf94f8b574f4db"},"schema_version":"1.0","source":{"id":"2203.10196","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.10196","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"arxiv_version","alias_value":"2203.10196v2","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.10196","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"pith_short_12","alias_value":"QMDZHHYJXINV","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"pith_short_16","alias_value":"QMDZHHYJXINVTSER","created_at":"2026-07-05T04:10:53Z"},{"alias_kind":"pith_short_8","alias_value":"QMDZHHYJ","created_at":"2026-07-05T04:10:53Z"}],"graph_snapshots":[{"event_id":"sha256:d612a37d0b93e93bf36f8588632229724795b34b1af6c2738f88f24ddc1cef4c","target":"graph","created_at":"2026-07-05T04:10:53Z","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/2203.10196/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose MisMatch, a novel consistency-driven semi-supervised segmentation framework which produces predictions that are invariant to learnt feature perturbations. MisMatch consists of an encoder and a two-head decoders. One decoder learns positive attention to the foreground regions of interest (RoI) on unlabelled images thereby generating dilated features. The other decoder learns negative attention to the foreground on the same unlabelled images thereby generating eroded features. We then apply a consistency regularisation on the paired predictions. MisMatch outperforms state-of-the-art s","authors_text":"Chen Jin, Daniel C. Alexander, Frederick J Wilson, Joseph Jacob, Marius deGroot, Mou-Cheng Xu, Neil P. Oxtoby, Stefano B Blumberg, Yu-Kun Zhou","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-19T00:10:18Z","title":"Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.10196","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":"sha256:5fefa84324e2a4d6eea5ba6b97463de61a57150ab418138318bcc46dc83c0b10","target":"record","created_at":"2026-07-05T04:10:53Z","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":"bdb94337660fd06409425381d1c5be148bf90da690abe1bb03cde5dc8ecb9d04","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-19T00:10:18Z","title_canon_sha256":"e67e19ef67bcbca5b5933ccaa82c4483bf32c4ed639c088ed9cf94f8b574f4db"},"schema_version":"1.0","source":{"id":"2203.10196","kind":"arxiv","version":2}},"canonical_sha256":"8307939f09ba1b59c8919702ba14f343dcf8bcba90c9b1f58f98d36ec67b8992","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8307939f09ba1b59c8919702ba14f343dcf8bcba90c9b1f58f98d36ec67b8992","first_computed_at":"2026-07-05T04:10:53.963370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:10:53.963370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SaWVKPx73x7bz9zVqQsTh5s7UCeGV+Ig4pLcoxaWyLfGhnQdL6TGxUxftkID6aIPYm3zsjWKnc/XtZiYph+bBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:10:53.963820Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.10196","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5fefa84324e2a4d6eea5ba6b97463de61a57150ab418138318bcc46dc83c0b10","sha256:d612a37d0b93e93bf36f8588632229724795b34b1af6c2738f88f24ddc1cef4c"],"state_sha256":"9eebe0c126825a4712c30a5afff55f75f0998f2353750abd8e0bf55ef904b08e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zuPUJBgdiMaIXkMv2S1xMc+iAYPYSWatH4Y93J0CxvX9GlEvealBt+awV3lHFdzA1W358MVKBjBWLme3y4UjDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T22:57:39.196138Z","bundle_sha256":"43d5d27017d39e96809ef45e25e758ebe6f4f3c49c492b0afad8c584c1145428"}}