{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:D35YTUYBHGN5LIRDJSEICSRTZ4","short_pith_number":"pith:D35YTUYB","canonical_record":{"source":{"id":"1808.02473","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-07T17:47:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7609f9484c5f6a4bd6d628e950a2d511bf81543e1f0486e2c93055402a572a9d","abstract_canon_sha256":"31086813c9a2cf511b5da3320ac885759b899c45ede02bc2f45caafc965c12e0"},"schema_version":"1.0"},"canonical_sha256":"1efb89d301399bd5a2234c88814a33cf34a4a7ae60d5853dca48919570faaf7c","source":{"kind":"arxiv","id":"1808.02473","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.02473","created_at":"2026-05-18T00:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1808.02473v1","created_at":"2026-05-18T00:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.02473","created_at":"2026-05-18T00:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"D35YTUYBHGN5","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"D35YTUYBHGN5LIRD","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"D35YTUYB","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:D35YTUYBHGN5LIRDJSEICSRTZ4","target":"record","payload":{"canonical_record":{"source":{"id":"1808.02473","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-07T17:47:55Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7609f9484c5f6a4bd6d628e950a2d511bf81543e1f0486e2c93055402a572a9d","abstract_canon_sha256":"31086813c9a2cf511b5da3320ac885759b899c45ede02bc2f45caafc965c12e0"},"schema_version":"1.0"},"canonical_sha256":"1efb89d301399bd5a2234c88814a33cf34a4a7ae60d5853dca48919570faaf7c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:36.982240Z","signature_b64":"16yMm48UvIYet7ZKQHDHNim+Js3PZ4XJS+g64A7bGKmxjdOu/GSU5y+smhwsT0eP+llxPROQ5+Wh/xUpXF13Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1efb89d301399bd5a2234c88814a33cf34a4a7ae60d5853dca48919570faaf7c","last_reissued_at":"2026-05-18T00:08:36.981527Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:36.981527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.02473","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":"2026-05-18T00:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FV+7midwGmL/hSO7q1gyqR3LZOjJewbhLIK9Iafaz8HXHq0x7reT9sRN6l6nrA6m1hfs1XxFb4oQ2CVaoVcaCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T21:22:03.972728Z"},"content_sha256":"0b4b5c349424fecc745b4c0579a764fc6606618e5f31bdf4ab1bab5bba10139f","schema_version":"1.0","event_id":"sha256:0b4b5c349424fecc745b4c0579a764fc6606618e5f31bdf4ab1bab5bba10139f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:D35YTUYBHGN5LIRDJSEICSRTZ4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SketchyScene: Richly-Annotated Scene Sketches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Baoquan Chen, Changqing Zou, Chengying Gao, Haoran Mo, Hao Zhang, Qian Yu, Ruofei Du, Tao Xiang, Yi-Zhe Song","submitted_at":"2018-08-07T17:47:55Z","abstract_excerpt":"We contribute the first large-scale dataset of scene sketches, SketchyScene, with the goal of advancing research on sketch understanding at both the object and scene level. The dataset is created through a novel and carefully designed crowdsourcing pipeline, enabling users to efficiently generate large quantities of realistic and diverse scene sketches. SketchyScene contains more than 29,000 scene-level sketches, 7,000+ pairs of scene templates and photos, and 11,000+ object sketches. All objects in the scene sketches have ground-truth semantic and instance masks. The dataset is also highly sc"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.02473","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":"2026-05-18T00:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CkzpZ0deein5bYJKfIg+C6r5LtK8uzm+dRQw+wv5PdFzp5QT8Bkc71eYCC/8pkn1Ui9hZStWG6U3A1cDOS/iBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T21:22:03.973111Z"},"content_sha256":"6e1491e12610039467613aa1d47a8fe13913e0d670652fa5aab78beacd85044f","schema_version":"1.0","event_id":"sha256:6e1491e12610039467613aa1d47a8fe13913e0d670652fa5aab78beacd85044f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D35YTUYBHGN5LIRDJSEICSRTZ4/bundle.json","state_url":"https://pith.science/pith/D35YTUYBHGN5LIRDJSEICSRTZ4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D35YTUYBHGN5LIRDJSEICSRTZ4/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":"2026-06-06T21:22:03Z","links":{"resolver":"https://pith.science/pith/D35YTUYBHGN5LIRDJSEICSRTZ4","bundle":"https://pith.science/pith/D35YTUYBHGN5LIRDJSEICSRTZ4/bundle.json","state":"https://pith.science/pith/D35YTUYBHGN5LIRDJSEICSRTZ4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D35YTUYBHGN5LIRDJSEICSRTZ4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:D35YTUYBHGN5LIRDJSEICSRTZ4","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":"31086813c9a2cf511b5da3320ac885759b899c45ede02bc2f45caafc965c12e0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-07T17:47:55Z","title_canon_sha256":"7609f9484c5f6a4bd6d628e950a2d511bf81543e1f0486e2c93055402a572a9d"},"schema_version":"1.0","source":{"id":"1808.02473","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.02473","created_at":"2026-05-18T00:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1808.02473v1","created_at":"2026-05-18T00:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.02473","created_at":"2026-05-18T00:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"D35YTUYBHGN5","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"D35YTUYBHGN5LIRD","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"D35YTUYB","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:6e1491e12610039467613aa1d47a8fe13913e0d670652fa5aab78beacd85044f","target":"graph","created_at":"2026-05-18T00:08:36Z","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"},"paper":{"abstract_excerpt":"We contribute the first large-scale dataset of scene sketches, SketchyScene, with the goal of advancing research on sketch understanding at both the object and scene level. The dataset is created through a novel and carefully designed crowdsourcing pipeline, enabling users to efficiently generate large quantities of realistic and diverse scene sketches. SketchyScene contains more than 29,000 scene-level sketches, 7,000+ pairs of scene templates and photos, and 11,000+ object sketches. All objects in the scene sketches have ground-truth semantic and instance masks. The dataset is also highly sc","authors_text":"Baoquan Chen, Changqing Zou, Chengying Gao, Haoran Mo, Hao Zhang, Qian Yu, Ruofei Du, Tao Xiang, Yi-Zhe Song","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-07T17:47:55Z","title":"SketchyScene: Richly-Annotated Scene Sketches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.02473","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":"sha256:0b4b5c349424fecc745b4c0579a764fc6606618e5f31bdf4ab1bab5bba10139f","target":"record","created_at":"2026-05-18T00:08:36Z","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":"31086813c9a2cf511b5da3320ac885759b899c45ede02bc2f45caafc965c12e0","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-08-07T17:47:55Z","title_canon_sha256":"7609f9484c5f6a4bd6d628e950a2d511bf81543e1f0486e2c93055402a572a9d"},"schema_version":"1.0","source":{"id":"1808.02473","kind":"arxiv","version":1}},"canonical_sha256":"1efb89d301399bd5a2234c88814a33cf34a4a7ae60d5853dca48919570faaf7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1efb89d301399bd5a2234c88814a33cf34a4a7ae60d5853dca48919570faaf7c","first_computed_at":"2026-05-18T00:08:36.981527Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:36.981527Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"16yMm48UvIYet7ZKQHDHNim+Js3PZ4XJS+g64A7bGKmxjdOu/GSU5y+smhwsT0eP+llxPROQ5+Wh/xUpXF13Dw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:36.982240Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.02473","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0b4b5c349424fecc745b4c0579a764fc6606618e5f31bdf4ab1bab5bba10139f","sha256:6e1491e12610039467613aa1d47a8fe13913e0d670652fa5aab78beacd85044f"],"state_sha256":"07f3ab27dc6fbeaebf06bc089597823158c000d65352975d8b3d0e7ff9632b7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZEc3PtYlcvaBRe5vXZBz5ZiuljgUhK5QW+93uzn44JJVX13UuPetvoylk9GGEGyl8zpu23py+u2nyavey/kGAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T21:22:03.975702Z","bundle_sha256":"c9aa9bd3912b9b93db815cdb3d519d265dc026809dce15059d65555dfba21461"}}