{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:MCRWTBHEP67PSQDTDZZYFD7XSY","short_pith_number":"pith:MCRWTBHE","canonical_record":{"source":{"id":"2203.14098","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-26T15:32:12Z","cross_cats_sorted":[],"title_canon_sha256":"a9abe5197bdc14a6372b1a0c5156d6747cc13d6ea726c26cdcb4c59da32875ad","abstract_canon_sha256":"5876445baf475689d7654902f99dc0e9ea82b160e332e8345b1058064a960801"},"schema_version":"1.0"},"canonical_sha256":"60a36984e47fbef940731e73828ff7962fd3c833eb47a0442595e64c666058bb","source":{"kind":"arxiv","id":"2203.14098","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14098","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14098v2","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14098","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"pith_short_12","alias_value":"MCRWTBHEP67P","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"pith_short_16","alias_value":"MCRWTBHEP67PSQDT","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"pith_short_8","alias_value":"MCRWTBHE","created_at":"2026-07-05T04:24:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:MCRWTBHEP67PSQDTDZZYFD7XSY","target":"record","payload":{"canonical_record":{"source":{"id":"2203.14098","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-26T15:32:12Z","cross_cats_sorted":[],"title_canon_sha256":"a9abe5197bdc14a6372b1a0c5156d6747cc13d6ea726c26cdcb4c59da32875ad","abstract_canon_sha256":"5876445baf475689d7654902f99dc0e9ea82b160e332e8345b1058064a960801"},"schema_version":"1.0"},"canonical_sha256":"60a36984e47fbef940731e73828ff7962fd3c833eb47a0442595e64c666058bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:24:59.054413Z","signature_b64":"MJiA/6dnVbEoC2oLRtUKC+5uf5QHOQa8bi9GzvEzhatcGD2+U/tGPd9WqHSW6SJM3bmDDcoJu//ak272ObCjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"60a36984e47fbef940731e73828ff7962fd3c833eb47a0442595e64c666058bb","last_reissued_at":"2026-07-05T04:24:59.053991Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:24:59.053991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2203.14098","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":"2026-07-05T04:24:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TgT8gCtDkd/cEBIRHVXYK8Wn1LExL0t80RMO6cq2kTfgdZmOqlK/S3v+ONHOXYfLtwITfAxXj4RCctsvnkBcCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T04:23:12.620864Z"},"content_sha256":"7f539a51d70b2d8be48009a94d6c44aa0965a9ed02dd021e0e22331a8d2fd40f","schema_version":"1.0","event_id":"sha256:7f539a51d70b2d8be48009a94d6c44aa0965a9ed02dd021e0e22331a8d2fd40f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:MCRWTBHEP67PSQDTDZZYFD7XSY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dan Xu, Elisa Ricci, Enrico Fini, Guanglei Yang, Mingli Ding, Moin Nabi, Paolo Rota, Xavier Alameda-Pineda","submitted_at":"2022-03-26T15:32:12Z","abstract_excerpt":"A fundamental and challenging problem in deep learning is catastrophic forgetting, i.e. the tendency of neural networks to fail to preserve the knowledge acquired from old tasks when learning new tasks. This problem has been widely investigated in the research community and several Incremental Learning (IL) approaches have been proposed in the past years. While earlier works in computer vision have mostly focused on image classification and object detection, more recently some IL approaches for semantic segmentation have been introduced. These previous works showed that, despite its simplicity"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14098","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/2203.14098/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":"2026-07-05T04:24:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wP2bAA9P92rrkonQ5NesRyhjYTnJNt5q+yF+7mlqH5vWKheY7uEbMhr9S2q8tdIy9UQDdayuxxBGr/vXPEDjAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T04:23:12.621442Z"},"content_sha256":"32614ddc024e14694aebe2cb85adf498b61e202a4d7e992cb46debc4361615a2","schema_version":"1.0","event_id":"sha256:32614ddc024e14694aebe2cb85adf498b61e202a4d7e992cb46debc4361615a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MCRWTBHEP67PSQDTDZZYFD7XSY/bundle.json","state_url":"https://pith.science/pith/MCRWTBHEP67PSQDTDZZYFD7XSY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MCRWTBHEP67PSQDTDZZYFD7XSY/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":"2026-08-15T04:23:12Z","links":{"resolver":"https://pith.science/pith/MCRWTBHEP67PSQDTDZZYFD7XSY","bundle":"https://pith.science/pith/MCRWTBHEP67PSQDTDZZYFD7XSY/bundle.json","state":"https://pith.science/pith/MCRWTBHEP67PSQDTDZZYFD7XSY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MCRWTBHEP67PSQDTDZZYFD7XSY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MCRWTBHEP67PSQDTDZZYFD7XSY","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":"5876445baf475689d7654902f99dc0e9ea82b160e332e8345b1058064a960801","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-26T15:32:12Z","title_canon_sha256":"a9abe5197bdc14a6372b1a0c5156d6747cc13d6ea726c26cdcb4c59da32875ad"},"schema_version":"1.0","source":{"id":"2203.14098","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.14098","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"arxiv_version","alias_value":"2203.14098v2","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.14098","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"pith_short_12","alias_value":"MCRWTBHEP67P","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"pith_short_16","alias_value":"MCRWTBHEP67PSQDT","created_at":"2026-07-05T04:24:59Z"},{"alias_kind":"pith_short_8","alias_value":"MCRWTBHE","created_at":"2026-07-05T04:24:59Z"}],"graph_snapshots":[{"event_id":"sha256:32614ddc024e14694aebe2cb85adf498b61e202a4d7e992cb46debc4361615a2","target":"graph","created_at":"2026-07-05T04:24:59Z","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/2203.14098/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A fundamental and challenging problem in deep learning is catastrophic forgetting, i.e. the tendency of neural networks to fail to preserve the knowledge acquired from old tasks when learning new tasks. This problem has been widely investigated in the research community and several Incremental Learning (IL) approaches have been proposed in the past years. While earlier works in computer vision have mostly focused on image classification and object detection, more recently some IL approaches for semantic segmentation have been introduced. These previous works showed that, despite its simplicity","authors_text":"Dan Xu, Elisa Ricci, Enrico Fini, Guanglei Yang, Mingli Ding, Moin Nabi, Paolo Rota, Xavier Alameda-Pineda","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-26T15:32:12Z","title":"Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.14098","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":"sha256:7f539a51d70b2d8be48009a94d6c44aa0965a9ed02dd021e0e22331a8d2fd40f","target":"record","created_at":"2026-07-05T04:24:59Z","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":"5876445baf475689d7654902f99dc0e9ea82b160e332e8345b1058064a960801","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-03-26T15:32:12Z","title_canon_sha256":"a9abe5197bdc14a6372b1a0c5156d6747cc13d6ea726c26cdcb4c59da32875ad"},"schema_version":"1.0","source":{"id":"2203.14098","kind":"arxiv","version":2}},"canonical_sha256":"60a36984e47fbef940731e73828ff7962fd3c833eb47a0442595e64c666058bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"60a36984e47fbef940731e73828ff7962fd3c833eb47a0442595e64c666058bb","first_computed_at":"2026-07-05T04:24:59.053991Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:24:59.053991Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MJiA/6dnVbEoC2oLRtUKC+5uf5QHOQa8bi9GzvEzhatcGD2+U/tGPd9WqHSW6SJM3bmDDcoJu//ak272ObCjBw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:24:59.054413Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.14098","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f539a51d70b2d8be48009a94d6c44aa0965a9ed02dd021e0e22331a8d2fd40f","sha256:32614ddc024e14694aebe2cb85adf498b61e202a4d7e992cb46debc4361615a2"],"state_sha256":"a87af152ea1716ab4fb51ea6e1f152aa639eb3c394eefd86a6833c3c07daf0f4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iyYc0wAQP3/N7igxeVtmux+hLE5cXPo2StNKVreqdh43NqNBSHTAYtnhwERNrnglo8pKBuRlxcLUN3l18R7SAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T04:23:12.625239Z","bundle_sha256":"3d9083ac6bdb184e0c5fb443d44b7b62a8642b6be22a8fb62b6841d1ee16042e"}}