{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:5HGI3NWHOTLZTX2ZJYHBGTNG6R","short_pith_number":"pith:5HGI3NWH","canonical_record":{"source":{"id":"2204.00822","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-02T09:09:59Z","cross_cats_sorted":[],"title_canon_sha256":"6aedb9907753382b7f3b034451ceea5958a096d14f873292e57466a97a39ca71","abstract_canon_sha256":"da0ba23f495e729484cc997a281626a54b75e40d883108709a3ed992f19bf4fe"},"schema_version":"1.0"},"canonical_sha256":"e9cc8db6c774d799df594e0e134da6f45f813cfc194a2dd51c5099ca3ccda3cd","source":{"kind":"arxiv","id":"2204.00822","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.00822","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"arxiv_version","alias_value":"2204.00822v1","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.00822","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"pith_short_12","alias_value":"5HGI3NWHOTLZ","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"pith_short_16","alias_value":"5HGI3NWHOTLZTX2Z","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"pith_short_8","alias_value":"5HGI3NWH","created_at":"2026-07-05T04:10:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:5HGI3NWHOTLZTX2ZJYHBGTNG6R","target":"record","payload":{"canonical_record":{"source":{"id":"2204.00822","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-02T09:09:59Z","cross_cats_sorted":[],"title_canon_sha256":"6aedb9907753382b7f3b034451ceea5958a096d14f873292e57466a97a39ca71","abstract_canon_sha256":"da0ba23f495e729484cc997a281626a54b75e40d883108709a3ed992f19bf4fe"},"schema_version":"1.0"},"canonical_sha256":"e9cc8db6c774d799df594e0e134da6f45f813cfc194a2dd51c5099ca3ccda3cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:10:56.892484Z","signature_b64":"Yr5iizadP4i0kqHG11/YzGnjCfGuoIrPyp3TlhMEgZlivz7dbhVUGhIY0bJjwITLIrlW5PSJgJmXxoOZSk6yBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9cc8db6c774d799df594e0e134da6f45f813cfc194a2dd51c5099ca3ccda3cd","last_reissued_at":"2026-07-05T04:10:56.892139Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:10:56.892139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.00822","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":"2026-07-05T04:10:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lA9Zo6zEg/9UnDRB+BboH/s2QbxVkt0uNJby+ClNC9EvEasUTFAbIU+mODdEIv6ylk+O8aj8kEqTlkeeXN7mCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:00:13.379705Z"},"content_sha256":"611ca50df2efc7c826aed3fe08c4056f21980ea781801c286d5465a8a982c110","schema_version":"1.0","event_id":"sha256:611ca50df2efc7c826aed3fe08c4056f21980ea781801c286d5465a8a982c110"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:5HGI3NWHOTLZTX2ZJYHBGTNG6R","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Semantic-Aware Domain Generalized Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Duo Peng, Munawar Hayat, Wen Li, Yinjie Lei, Yulan Guo","submitted_at":"2022-04-02T09:09:59Z","abstract_excerpt":"Deep models trained on source domain lack generalization when evaluated on unseen target domains with different data distributions. The problem becomes even more pronounced when we have no access to target domain samples for adaptation. In this paper, we address domain generalized semantic segmentation, where a segmentation model is trained to be domain-invariant without using any target domain data. Existing approaches to tackle this problem standardize data into a unified distribution. We argue that while such a standardization promotes global normalization, the resulting features are not di"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.00822","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/2204.00822/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":"2026-07-05T04:10:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ezrvb/TPm2NfTt8HN2jhhs0+bXf6t8Nq+MY8nqXuzuuD3Q8Eo7i8I/+pWrN5pVmkli0hH3xd6z5kQd4Jz/TADQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:00:13.380074Z"},"content_sha256":"0f67927dbea062c06af512945452725d4e9c7a4cee1213783cbd0534ead85267","schema_version":"1.0","event_id":"sha256:0f67927dbea062c06af512945452725d4e9c7a4cee1213783cbd0534ead85267"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R/bundle.json","state_url":"https://pith.science/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R/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":"2026-08-19T15:00:13Z","links":{"resolver":"https://pith.science/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R","bundle":"https://pith.science/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R/bundle.json","state":"https://pith.science/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5HGI3NWHOTLZTX2ZJYHBGTNG6R/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:5HGI3NWHOTLZTX2ZJYHBGTNG6R","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":"da0ba23f495e729484cc997a281626a54b75e40d883108709a3ed992f19bf4fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-02T09:09:59Z","title_canon_sha256":"6aedb9907753382b7f3b034451ceea5958a096d14f873292e57466a97a39ca71"},"schema_version":"1.0","source":{"id":"2204.00822","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.00822","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"arxiv_version","alias_value":"2204.00822v1","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.00822","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"pith_short_12","alias_value":"5HGI3NWHOTLZ","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"pith_short_16","alias_value":"5HGI3NWHOTLZTX2Z","created_at":"2026-07-05T04:10:56Z"},{"alias_kind":"pith_short_8","alias_value":"5HGI3NWH","created_at":"2026-07-05T04:10:56Z"}],"graph_snapshots":[{"event_id":"sha256:0f67927dbea062c06af512945452725d4e9c7a4cee1213783cbd0534ead85267","target":"graph","created_at":"2026-07-05T04:10:56Z","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/2204.00822/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep models trained on source domain lack generalization when evaluated on unseen target domains with different data distributions. The problem becomes even more pronounced when we have no access to target domain samples for adaptation. In this paper, we address domain generalized semantic segmentation, where a segmentation model is trained to be domain-invariant without using any target domain data. Existing approaches to tackle this problem standardize data into a unified distribution. We argue that while such a standardization promotes global normalization, the resulting features are not di","authors_text":"Duo Peng, Munawar Hayat, Wen Li, Yinjie Lei, Yulan Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-02T09:09:59Z","title":"Semantic-Aware Domain Generalized Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.00822","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":"sha256:611ca50df2efc7c826aed3fe08c4056f21980ea781801c286d5465a8a982c110","target":"record","created_at":"2026-07-05T04:10:56Z","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":"da0ba23f495e729484cc997a281626a54b75e40d883108709a3ed992f19bf4fe","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-04-02T09:09:59Z","title_canon_sha256":"6aedb9907753382b7f3b034451ceea5958a096d14f873292e57466a97a39ca71"},"schema_version":"1.0","source":{"id":"2204.00822","kind":"arxiv","version":1}},"canonical_sha256":"e9cc8db6c774d799df594e0e134da6f45f813cfc194a2dd51c5099ca3ccda3cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9cc8db6c774d799df594e0e134da6f45f813cfc194a2dd51c5099ca3ccda3cd","first_computed_at":"2026-07-05T04:10:56.892139Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:10:56.892139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Yr5iizadP4i0kqHG11/YzGnjCfGuoIrPyp3TlhMEgZlivz7dbhVUGhIY0bJjwITLIrlW5PSJgJmXxoOZSk6yBA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:10:56.892484Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.00822","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:611ca50df2efc7c826aed3fe08c4056f21980ea781801c286d5465a8a982c110","sha256:0f67927dbea062c06af512945452725d4e9c7a4cee1213783cbd0534ead85267"],"state_sha256":"3865e770aeb22f8f80ccaebf24a47850433006e4f7ed2941266b60d33bf65807"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rPq0vabLI45da2s3x1enxYFqzEydH6hlGbePsE8XJ+gfrcB04pFof6hPzq2nZTIUtRFINOfrxDIPdBxEsDJqBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T15:00:13.384294Z","bundle_sha256":"9b9b42d36c091d044ebc0a1502d7821e85c29d72f7390973d5a95506b7e988dc"}}