{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FWAMCWBYQAQL3X7ODDTOJNISYB","short_pith_number":"pith:FWAMCWBY","canonical_record":{"source":{"id":"2108.06962","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T08:36:10Z","cross_cats_sorted":[],"title_canon_sha256":"efeab0d3711d063a23db1ee25772c99413713647003b0ec584ca133d01d8bf46","abstract_canon_sha256":"151614debc330442a09bd6c980a2dc35858ef91f6a32aebdd288067da605828c"},"schema_version":"1.0"},"canonical_sha256":"2d80c158388020bddfee18e6e4b512c06f35a9de99644a2cd89ba4a6260d71eb","source":{"kind":"arxiv","id":"2108.06962","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06962","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06962v2","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06962","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"FWAMCWBYQAQL","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"FWAMCWBYQAQL3X7O","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"FWAMCWBY","created_at":"2026-07-05T03:14:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FWAMCWBYQAQL3X7ODDTOJNISYB","target":"record","payload":{"canonical_record":{"source":{"id":"2108.06962","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T08:36:10Z","cross_cats_sorted":[],"title_canon_sha256":"efeab0d3711d063a23db1ee25772c99413713647003b0ec584ca133d01d8bf46","abstract_canon_sha256":"151614debc330442a09bd6c980a2dc35858ef91f6a32aebdd288067da605828c"},"schema_version":"1.0"},"canonical_sha256":"2d80c158388020bddfee18e6e4b512c06f35a9de99644a2cd89ba4a6260d71eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:14:36.116724Z","signature_b64":"rsTjCtcXO68T/IcdSM5/1hBssSQ2Fu+HjOi0LJqBA2Nr4v1LZUdojHW6Lxcz5iE5qCU0yfoteZGCm+KUj6sGDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2d80c158388020bddfee18e6e4b512c06f35a9de99644a2cd89ba4a6260d71eb","last_reissued_at":"2026-07-05T03:14:36.116282Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:14:36.116282Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.06962","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":"2026-07-05T03:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZsSEdKzwOJUwE0EMTp9ZCS2uCX50tpt9zAsBJ70YtX+OdkFJUDe5EVE5IMDMitFaYSXHeqFQFuMpYDVRlLh4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T02:19:13.310140Z"},"content_sha256":"870ad943b7bf40cb4fbaec87a8d3023659d009295928cb3bb755ca275ee35d6f","schema_version":"1.0","event_id":"sha256:870ad943b7bf40cb4fbaec87a8d3023659d009295928cb3bb755ca275ee35d6f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FWAMCWBYQAQL3X7ODDTOJNISYB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antoine Saporta, Matthieu Cord, Patrick P\\'erez, Tuan-Hung Vu","submitted_at":"2021-08-16T08:36:10Z","abstract_excerpt":"In this work, we address the task of unsupervised domain adaptation (UDA) for semantic segmentation in presence of multiple target domains: The objective is to train a single model that can handle all these domains at test time. Such a multi-target adaptation is crucial for a variety of scenarios that real-world autonomous systems must handle. It is a challenging setup since one faces not only the domain gap between the labeled source set and the unlabeled target set, but also the distribution shifts existing within the latter among the different target domains. To this end, we introduce two a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06962","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/2108.06962/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":"2026-07-05T03:14:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tzCp/l++ng6WzKEDfrPcJZeRY0O/SfmmhgXt77AlODgFUj6izsXMxfD+VZSrHxkv5GCHhtzDPNm2+YArP8ynBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T02:19:13.310533Z"},"content_sha256":"9ef8ca13091ab4260dc341840fd868325e1b76559a47d7a02b56424ee807f384","schema_version":"1.0","event_id":"sha256:9ef8ca13091ab4260dc341840fd868325e1b76559a47d7a02b56424ee807f384"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FWAMCWBYQAQL3X7ODDTOJNISYB/bundle.json","state_url":"https://pith.science/pith/FWAMCWBYQAQL3X7ODDTOJNISYB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FWAMCWBYQAQL3X7ODDTOJNISYB/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":"2026-07-17T02:19:13Z","links":{"resolver":"https://pith.science/pith/FWAMCWBYQAQL3X7ODDTOJNISYB","bundle":"https://pith.science/pith/FWAMCWBYQAQL3X7ODDTOJNISYB/bundle.json","state":"https://pith.science/pith/FWAMCWBYQAQL3X7ODDTOJNISYB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FWAMCWBYQAQL3X7ODDTOJNISYB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FWAMCWBYQAQL3X7ODDTOJNISYB","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":"151614debc330442a09bd6c980a2dc35858ef91f6a32aebdd288067da605828c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T08:36:10Z","title_canon_sha256":"efeab0d3711d063a23db1ee25772c99413713647003b0ec584ca133d01d8bf46"},"schema_version":"1.0","source":{"id":"2108.06962","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.06962","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"arxiv_version","alias_value":"2108.06962v2","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.06962","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_12","alias_value":"FWAMCWBYQAQL","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_16","alias_value":"FWAMCWBYQAQL3X7O","created_at":"2026-07-05T03:14:36Z"},{"alias_kind":"pith_short_8","alias_value":"FWAMCWBY","created_at":"2026-07-05T03:14:36Z"}],"graph_snapshots":[{"event_id":"sha256:9ef8ca13091ab4260dc341840fd868325e1b76559a47d7a02b56424ee807f384","target":"graph","created_at":"2026-07-05T03:14:36Z","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/2108.06962/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we address the task of unsupervised domain adaptation (UDA) for semantic segmentation in presence of multiple target domains: The objective is to train a single model that can handle all these domains at test time. Such a multi-target adaptation is crucial for a variety of scenarios that real-world autonomous systems must handle. It is a challenging setup since one faces not only the domain gap between the labeled source set and the unlabeled target set, but also the distribution shifts existing within the latter among the different target domains. To this end, we introduce two a","authors_text":"Antoine Saporta, Matthieu Cord, Patrick P\\'erez, Tuan-Hung Vu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T08:36:10Z","title":"Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.06962","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":"sha256:870ad943b7bf40cb4fbaec87a8d3023659d009295928cb3bb755ca275ee35d6f","target":"record","created_at":"2026-07-05T03:14:36Z","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":"151614debc330442a09bd6c980a2dc35858ef91f6a32aebdd288067da605828c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-16T08:36:10Z","title_canon_sha256":"efeab0d3711d063a23db1ee25772c99413713647003b0ec584ca133d01d8bf46"},"schema_version":"1.0","source":{"id":"2108.06962","kind":"arxiv","version":2}},"canonical_sha256":"2d80c158388020bddfee18e6e4b512c06f35a9de99644a2cd89ba4a6260d71eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d80c158388020bddfee18e6e4b512c06f35a9de99644a2cd89ba4a6260d71eb","first_computed_at":"2026-07-05T03:14:36.116282Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:14:36.116282Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rsTjCtcXO68T/IcdSM5/1hBssSQ2Fu+HjOi0LJqBA2Nr4v1LZUdojHW6Lxcz5iE5qCU0yfoteZGCm+KUj6sGDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:14:36.116724Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.06962","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:870ad943b7bf40cb4fbaec87a8d3023659d009295928cb3bb755ca275ee35d6f","sha256:9ef8ca13091ab4260dc341840fd868325e1b76559a47d7a02b56424ee807f384"],"state_sha256":"88b78cd1ad7c60f2bca1354171d77c937181361ed5182ce0405ca26c49c43487"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VXlRVzNT/5V/lTgsetXF8GbLIzDNBH8qz0UjJYi7Z1bxD2ikZzM1gP+Dx/k8zecpmNcbzx5aDghN2mLKDRKJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T02:19:13.312784Z","bundle_sha256":"92aa2a50489377c2dfcb0e3ed2dd033ed6671081d25aee70341769c29661187c"}}