{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BECAQSPFDBDGCK5HDAPNTRXG6R","short_pith_number":"pith:BECAQSPF","canonical_record":{"source":{"id":"2505.11075","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T10:07:17Z","cross_cats_sorted":[],"title_canon_sha256":"3eaf36e77f518e82ebd903825d8135c11a51b85fada4dafee82368663adbbe41","abstract_canon_sha256":"92d9223199ed86d49a9ece9a9075ac039b72a4568cf1239f4482bddcef3f9b84"},"schema_version":"1.0"},"canonical_sha256":"09040849e51846612ba7181ed9c6e6f45eaede52b5c4ec38eac2ef22b2ad730d","source":{"kind":"arxiv","id":"2505.11075","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.11075","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"arxiv_version","alias_value":"2505.11075v1","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11075","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"pith_short_12","alias_value":"BECAQSPFDBDG","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"pith_short_16","alias_value":"BECAQSPFDBDGCK5H","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"pith_short_8","alias_value":"BECAQSPF","created_at":"2026-07-05T11:04:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BECAQSPFDBDGCK5HDAPNTRXG6R","target":"record","payload":{"canonical_record":{"source":{"id":"2505.11075","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T10:07:17Z","cross_cats_sorted":[],"title_canon_sha256":"3eaf36e77f518e82ebd903825d8135c11a51b85fada4dafee82368663adbbe41","abstract_canon_sha256":"92d9223199ed86d49a9ece9a9075ac039b72a4568cf1239f4482bddcef3f9b84"},"schema_version":"1.0"},"canonical_sha256":"09040849e51846612ba7181ed9c6e6f45eaede52b5c4ec38eac2ef22b2ad730d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:04:10.361070Z","signature_b64":"XetfacWv7QKWSK0P2WEwTfAv5IYOPFsy1r+xE5WV98dzHIFw7WHSXTq0MlQ6vu6bLu84rrbX3GMen20KYcy6CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09040849e51846612ba7181ed9c6e6f45eaede52b5c4ec38eac2ef22b2ad730d","last_reissued_at":"2026-07-05T11:04:10.360417Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:04:10.360417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.11075","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":"2026-07-05T11:04:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"61p+uydsN9YU89xAcKLi48nfBAtHZ3F/Dj2ZLgbMUJu+EpVHyfuICMnHy+Ied0ghli0oA97LaqAQkxygi3wECw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:51:30.401366Z"},"content_sha256":"1bc1473bebb100c2c75e1b5216c7fc428be8f52d8d01add2af6086b4b64e0cba","schema_version":"1.0","event_id":"sha256:1bc1473bebb100c2c75e1b5216c7fc428be8f52d8d01add2af6086b4b64e0cba"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BECAQSPFDBDGCK5HDAPNTRXG6R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaoyang Zhu, Jianghang Lin, Liujuan Cao, Rongrong Ji, Shengchuan Zhang, Yilin Lu, Yunhang Shen","submitted_at":"2025-05-16T10:07:17Z","abstract_excerpt":"Semi-Supervised Instance Segmentation (SSIS) involves classifying and grouping image pixels into distinct object instances using limited labeled data. This learning paradigm usually faces a significant challenge of unstable performance caused by noisy pseudo-labels of instance categories and pixel masks. We find that the prevalent practice of filtering instance pseudo-labels assessing both class and mask quality with a single score threshold, frequently leads to compromises in the trade-off between the qualities of class and mask labels. In this paper, we introduce a novel Pseudo-Label Quality"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11075","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.11075/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":"2026-07-05T11:04:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dJd0nSeT0l9SkF8Ap94+NGFRPLHxK57VbOZATH6C4XV1h5K6TaXFOGFFKZq1E/14aKi0sclQQ2HCg6atutDpAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T21:51:30.401889Z"},"content_sha256":"76a6394e00b2a7d18c7d2c7a67fc444a99206812382a38e97489517647e655fe","schema_version":"1.0","event_id":"sha256:76a6394e00b2a7d18c7d2c7a67fc444a99206812382a38e97489517647e655fe"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BECAQSPFDBDGCK5HDAPNTRXG6R/bundle.json","state_url":"https://pith.science/pith/BECAQSPFDBDGCK5HDAPNTRXG6R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BECAQSPFDBDGCK5HDAPNTRXG6R/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":"2026-08-06T21:51:30Z","links":{"resolver":"https://pith.science/pith/BECAQSPFDBDGCK5HDAPNTRXG6R","bundle":"https://pith.science/pith/BECAQSPFDBDGCK5HDAPNTRXG6R/bundle.json","state":"https://pith.science/pith/BECAQSPFDBDGCK5HDAPNTRXG6R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BECAQSPFDBDGCK5HDAPNTRXG6R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BECAQSPFDBDGCK5HDAPNTRXG6R","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":"92d9223199ed86d49a9ece9a9075ac039b72a4568cf1239f4482bddcef3f9b84","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T10:07:17Z","title_canon_sha256":"3eaf36e77f518e82ebd903825d8135c11a51b85fada4dafee82368663adbbe41"},"schema_version":"1.0","source":{"id":"2505.11075","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.11075","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"arxiv_version","alias_value":"2505.11075v1","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.11075","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"pith_short_12","alias_value":"BECAQSPFDBDG","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"pith_short_16","alias_value":"BECAQSPFDBDGCK5H","created_at":"2026-07-05T11:04:10Z"},{"alias_kind":"pith_short_8","alias_value":"BECAQSPF","created_at":"2026-07-05T11:04:10Z"}],"graph_snapshots":[{"event_id":"sha256:76a6394e00b2a7d18c7d2c7a67fc444a99206812382a38e97489517647e655fe","target":"graph","created_at":"2026-07-05T11:04:10Z","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/2505.11075/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-Supervised Instance Segmentation (SSIS) involves classifying and grouping image pixels into distinct object instances using limited labeled data. This learning paradigm usually faces a significant challenge of unstable performance caused by noisy pseudo-labels of instance categories and pixel masks. We find that the prevalent practice of filtering instance pseudo-labels assessing both class and mask quality with a single score threshold, frequently leads to compromises in the trade-off between the qualities of class and mask labels. In this paper, we introduce a novel Pseudo-Label Quality","authors_text":"Chaoyang Zhu, Jianghang Lin, Liujuan Cao, Rongrong Ji, Shengchuan Zhang, Yilin Lu, Yunhang Shen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T10:07:17Z","title":"Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.11075","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":"sha256:1bc1473bebb100c2c75e1b5216c7fc428be8f52d8d01add2af6086b4b64e0cba","target":"record","created_at":"2026-07-05T11:04:10Z","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":"92d9223199ed86d49a9ece9a9075ac039b72a4568cf1239f4482bddcef3f9b84","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-16T10:07:17Z","title_canon_sha256":"3eaf36e77f518e82ebd903825d8135c11a51b85fada4dafee82368663adbbe41"},"schema_version":"1.0","source":{"id":"2505.11075","kind":"arxiv","version":1}},"canonical_sha256":"09040849e51846612ba7181ed9c6e6f45eaede52b5c4ec38eac2ef22b2ad730d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09040849e51846612ba7181ed9c6e6f45eaede52b5c4ec38eac2ef22b2ad730d","first_computed_at":"2026-07-05T11:04:10.360417Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:10.360417Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XetfacWv7QKWSK0P2WEwTfAv5IYOPFsy1r+xE5WV98dzHIFw7WHSXTq0MlQ6vu6bLu84rrbX3GMen20KYcy6CA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:10.361070Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.11075","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bc1473bebb100c2c75e1b5216c7fc428be8f52d8d01add2af6086b4b64e0cba","sha256:76a6394e00b2a7d18c7d2c7a67fc444a99206812382a38e97489517647e655fe"],"state_sha256":"06e519e960638732ac23ae028a09dabc32257085d7d154c11259792e17bbb92a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W7GQsq+nDMwXuygBLbjzJ8OnLoJg3sJ49hfa+cYE5Eon7MHCkqS0b8df2qfKhnnPr/otD2yWJzVdZPGj9i2MDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T21:51:30.405400Z","bundle_sha256":"f25fa47c6ff379092d64028a3c90d07f6da81eb3b5605f3fb3ff5295c4cf9672"}}