{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2MSWZXW5F66OOMJPKLTQDXKVFE","short_pith_number":"pith:2MSWZXW5","schema_version":"1.0","canonical_sha256":"d3256cdedd2fbce7312f52e701dd55292e355d934ab70a66e6d9568c6b8d5fbf","source":{"kind":"arxiv","id":"1808.07535","version":2},"attestation_state":"computed","paper":{"title":"Learning Hierarchical Semantic Image Manipulation through Structured Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Honglak Lee, Seunghoon Hong, Thomas Huang, Xinchen Yan","submitted_at":"2018-08-22T19:33:31Z","abstract_excerpt":"Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades. Previous work mainly focused on direct manipulation on natural image manifold through color strokes, key-points, textures, and holes-to-fill. In this work, we present a novel hierarchical framework for semantic image manipulation. Key to our hierarchical framework is that we employ a structured semantic layout as our intermediate representation for manipulation. Initialized with coarse-level bounding boxes, our structure generator first creates pixel-wise semantic layout"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1808.07535","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-22T19:33:31Z","cross_cats_sorted":[],"title_canon_sha256":"4c45617aaf0a07c1476b5efef671665592d83974153f2276bb6690023c09fbc2","abstract_canon_sha256":"a8009c859508144692465770ae1ce43bc95ab4f7248166c7e8adf51e2b272529"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:05.176422Z","signature_b64":"Ax1VaNJgsLvgImm8CL8nvgnWjMlifHX4QjrKZyLfvUbi6lvjCQFhc13qyqELKMxTewhKvH/0WMSPWC3EXxjUCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3256cdedd2fbce7312f52e701dd55292e355d934ab70a66e6d9568c6b8d5fbf","last_reissued_at":"2026-05-18T00:07:05.175665Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:05.175665Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Learning Hierarchical Semantic Image Manipulation through Structured Representations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Honglak Lee, Seunghoon Hong, Thomas Huang, Xinchen Yan","submitted_at":"2018-08-22T19:33:31Z","abstract_excerpt":"Understanding, reasoning, and manipulating semantic concepts of images have been a fundamental research problem for decades. Previous work mainly focused on direct manipulation on natural image manifold through color strokes, key-points, textures, and holes-to-fill. In this work, we present a novel hierarchical framework for semantic image manipulation. Key to our hierarchical framework is that we employ a structured semantic layout as our intermediate representation for manipulation. Initialized with coarse-level bounding boxes, our structure generator first creates pixel-wise semantic layout"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.07535","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":""},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1808.07535","created_at":"2026-05-18T00:07:05.175768+00:00"},{"alias_kind":"arxiv_version","alias_value":"1808.07535v2","created_at":"2026-05-18T00:07:05.175768+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.07535","created_at":"2026-05-18T00:07:05.175768+00:00"},{"alias_kind":"pith_short_12","alias_value":"2MSWZXW5F66O","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"2MSWZXW5F66OOMJP","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"2MSWZXW5","created_at":"2026-05-18T12:32:02.567920+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE","json":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE.json","graph_json":"https://pith.science/api/pith-number/2MSWZXW5F66OOMJPKLTQDXKVFE/graph.json","events_json":"https://pith.science/api/pith-number/2MSWZXW5F66OOMJPKLTQDXKVFE/events.json","paper":"https://pith.science/paper/2MSWZXW5"},"agent_actions":{"view_html":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE","download_json":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE.json","view_paper":"https://pith.science/paper/2MSWZXW5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1808.07535&json=true","fetch_graph":"https://pith.science/api/pith-number/2MSWZXW5F66OOMJPKLTQDXKVFE/graph.json","fetch_events":"https://pith.science/api/pith-number/2MSWZXW5F66OOMJPKLTQDXKVFE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE/action/storage_attestation","attest_author":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE/action/author_attestation","sign_citation":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE/action/citation_signature","submit_replication":"https://pith.science/pith/2MSWZXW5F66OOMJPKLTQDXKVFE/action/replication_record"}},"created_at":"2026-05-18T00:07:05.175768+00:00","updated_at":"2026-05-18T00:07:05.175768+00:00"}