{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:YHIXD3CQGOTY6GX7T7LPS5FQTQ","short_pith_number":"pith:YHIXD3CQ","canonical_record":{"source":{"id":"1903.12212","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T03:23:30Z","cross_cats_sorted":[],"title_canon_sha256":"8e19a7518ba884d3dbb271c249792351d9137cf26166c143b62e06896e7ad78a","abstract_canon_sha256":"d6a8bdb523616977efeb374832023a61259ba55d09e76603d62c94d35ac34792"},"schema_version":"1.0"},"canonical_sha256":"c1d171ec5033a78f1aff9fd6f974b09c1a7ee58bb27addde5e6044b0a55849b8","source":{"kind":"arxiv","id":"1903.12212","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12212","created_at":"2026-05-17T23:49:54Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12212v1","created_at":"2026-05-17T23:49:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12212","created_at":"2026-05-17T23:49:54Z"},{"alias_kind":"pith_short_12","alias_value":"YHIXD3CQGOTY","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YHIXD3CQGOTY6GX7","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YHIXD3CQ","created_at":"2026-05-18T12:33:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:YHIXD3CQGOTY6GX7T7LPS5FQTQ","target":"record","payload":{"canonical_record":{"source":{"id":"1903.12212","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T03:23:30Z","cross_cats_sorted":[],"title_canon_sha256":"8e19a7518ba884d3dbb271c249792351d9137cf26166c143b62e06896e7ad78a","abstract_canon_sha256":"d6a8bdb523616977efeb374832023a61259ba55d09e76603d62c94d35ac34792"},"schema_version":"1.0"},"canonical_sha256":"c1d171ec5033a78f1aff9fd6f974b09c1a7ee58bb27addde5e6044b0a55849b8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:54.575791Z","signature_b64":"ML+m9jRjUBXPxgT4R031r+xxhRI06g2G0k5MKANAdcpyrpnj5Pld/r52WR+pQNjiGB3Tv9+SoeJ01Dmnwx6dCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1d171ec5033a78f1aff9fd6f974b09c1a7ee58bb27addde5e6044b0a55849b8","last_reissued_at":"2026-05-17T23:49:54.575323Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:54.575323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.12212","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":"2026-05-17T23:49:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GH3ZgvK5lzQ30G87Uzow9Hr3Hie4z2IDZISrXo5JrgzNX3nV9iYwzp+lM9ydzSi24MjI1NouPJU7Vb3pPalaBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T19:48:11.099886Z"},"content_sha256":"a4559b912a13d4e3cdd7af4ce2145b8f01eb96e0e6c5cfdeef988a0d1d97b23c","schema_version":"1.0","event_id":"sha256:a4559b912a13d4e3cdd7af4ce2145b8f01eb96e0e6c5cfdeef988a0d1d97b23c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:YHIXD3CQGOTY6GX7T7LPS5FQTQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hui-Po Wang, Wei-Chen Chiu, Wei-Lun Chang, Wen-Hsiao Peng","submitted_at":"2019-03-26T03:23:30Z","abstract_excerpt":"In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation. With the hypothesis that the structural content of images is the most informative and decisive factor to semantic segmentation and can be readily shared across domains, we propose a Domain Invariant Structure Extraction (DISE) framework to disentangle images into domain-invariant structure and domain-specific texture representations, which can "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12212","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":""},"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":"2026-05-17T23:49:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"idLJq8yr83nys+A9C0iRpebejbaG/R10tPn8hiVXAsUBCfHfhGquVueHTCvMBX91zb/ie9XPMu/OZEkLYedZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T19:48:11.100580Z"},"content_sha256":"2bdf05167b8686654dbbe535b60562a6f7c5abcf6cd9b5d64b34b3018ac3ad1d","schema_version":"1.0","event_id":"sha256:2bdf05167b8686654dbbe535b60562a6f7c5abcf6cd9b5d64b34b3018ac3ad1d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ/bundle.json","state_url":"https://pith.science/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ/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":"2026-05-27T19:48:11Z","links":{"resolver":"https://pith.science/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ","bundle":"https://pith.science/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ/bundle.json","state":"https://pith.science/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YHIXD3CQGOTY6GX7T7LPS5FQTQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YHIXD3CQGOTY6GX7T7LPS5FQTQ","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":"d6a8bdb523616977efeb374832023a61259ba55d09e76603d62c94d35ac34792","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T03:23:30Z","title_canon_sha256":"8e19a7518ba884d3dbb271c249792351d9137cf26166c143b62e06896e7ad78a"},"schema_version":"1.0","source":{"id":"1903.12212","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12212","created_at":"2026-05-17T23:49:54Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12212v1","created_at":"2026-05-17T23:49:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12212","created_at":"2026-05-17T23:49:54Z"},{"alias_kind":"pith_short_12","alias_value":"YHIXD3CQGOTY","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_16","alias_value":"YHIXD3CQGOTY6GX7","created_at":"2026-05-18T12:33:33Z"},{"alias_kind":"pith_short_8","alias_value":"YHIXD3CQ","created_at":"2026-05-18T12:33:33Z"}],"graph_snapshots":[{"event_id":"sha256:2bdf05167b8686654dbbe535b60562a6f7c5abcf6cd9b5d64b34b3018ac3ad1d","target":"graph","created_at":"2026-05-17T23:49:54Z","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"},"paper":{"abstract_excerpt":"In this paper we tackle the problem of unsupervised domain adaptation for the task of semantic segmentation, where we attempt to transfer the knowledge learned upon synthetic datasets with ground-truth labels to real-world images without any annotation. With the hypothesis that the structural content of images is the most informative and decisive factor to semantic segmentation and can be readily shared across domains, we propose a Domain Invariant Structure Extraction (DISE) framework to disentangle images into domain-invariant structure and domain-specific texture representations, which can ","authors_text":"Hui-Po Wang, Wei-Chen Chiu, Wei-Lun Chang, Wen-Hsiao Peng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T03:23:30Z","title":"All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12212","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:a4559b912a13d4e3cdd7af4ce2145b8f01eb96e0e6c5cfdeef988a0d1d97b23c","target":"record","created_at":"2026-05-17T23:49:54Z","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":"d6a8bdb523616977efeb374832023a61259ba55d09e76603d62c94d35ac34792","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2019-03-26T03:23:30Z","title_canon_sha256":"8e19a7518ba884d3dbb271c249792351d9137cf26166c143b62e06896e7ad78a"},"schema_version":"1.0","source":{"id":"1903.12212","kind":"arxiv","version":1}},"canonical_sha256":"c1d171ec5033a78f1aff9fd6f974b09c1a7ee58bb27addde5e6044b0a55849b8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1d171ec5033a78f1aff9fd6f974b09c1a7ee58bb27addde5e6044b0a55849b8","first_computed_at":"2026-05-17T23:49:54.575323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:54.575323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ML+m9jRjUBXPxgT4R031r+xxhRI06g2G0k5MKANAdcpyrpnj5Pld/r52WR+pQNjiGB3Tv9+SoeJ01Dmnwx6dCQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:54.575791Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.12212","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a4559b912a13d4e3cdd7af4ce2145b8f01eb96e0e6c5cfdeef988a0d1d97b23c","sha256:2bdf05167b8686654dbbe535b60562a6f7c5abcf6cd9b5d64b34b3018ac3ad1d"],"state_sha256":"f282782a7b5204f566515b5cf7c32c7eda00dd821d3b0215defc407c4b615903"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vu6FFA0yPdCWBB3vTsgn7KTegywZSkr3HYIlSX6RMyhoSRmKM1uFzgC1/tyBcNkhNK3dFAkiSIWU8FlCFgUUAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T19:48:11.104036Z","bundle_sha256":"3c730e2c8a4bb2bf38d6827bb643f608905a7abfdf12aa5d39760fdb35fd02e0"}}