{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:ERGQNHXM427IBKN4AEFQNQUMQN","short_pith_number":"pith:ERGQNHXM","canonical_record":{"source":{"id":"1604.00606","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-03T07:36:50Z","cross_cats_sorted":[],"title_canon_sha256":"468d88861be9496e5b54b2b20eefde4ad648d4c0f58c3748755b5f6dda203f7a","abstract_canon_sha256":"8de491a42e16f2f4b342c88a3e6f4738c977c50d9c01c661b1e037d2bce742e0"},"schema_version":"1.0"},"canonical_sha256":"244d069eece6be80a9bc010b06c28c835b445b7bf6cf3cf9ab3e617102dd756c","source":{"kind":"arxiv","id":"1604.00606","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.00606","created_at":"2026-05-18T01:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"1604.00606v1","created_at":"2026-05-18T01:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.00606","created_at":"2026-05-18T01:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"ERGQNHXM427I","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"ERGQNHXM427IBKN4","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"ERGQNHXM","created_at":"2026-05-18T12:30:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:ERGQNHXM427IBKN4AEFQNQUMQN","target":"record","payload":{"canonical_record":{"source":{"id":"1604.00606","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-03T07:36:50Z","cross_cats_sorted":[],"title_canon_sha256":"468d88861be9496e5b54b2b20eefde4ad648d4c0f58c3748755b5f6dda203f7a","abstract_canon_sha256":"8de491a42e16f2f4b342c88a3e6f4738c977c50d9c01c661b1e037d2bce742e0"},"schema_version":"1.0"},"canonical_sha256":"244d069eece6be80a9bc010b06c28c835b445b7bf6cf3cf9ab3e617102dd756c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:48.947972Z","signature_b64":"fTLZgXesCQfFLmgbwaStRTTxgpW11SjgDKuNotqBVl6p1iccDcAsJZNrprlQl7ZU3KIMwctOCF/0mVs5YMyTBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"244d069eece6be80a9bc010b06c28c835b445b7bf6cf3cf9ab3e617102dd756c","last_reissued_at":"2026-05-18T01:17:48.947242Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:48.947242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.00606","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":"2026-05-18T01:17:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"42UowKXSQYAISWoxbAkGZTJwcW9mE7xGYh0QVKl1XfVC8nCo+E9N37opC7U8DQxnWsldb10jU+uxvUiRcR8gCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:12:07.549777Z"},"content_sha256":"ac0fb9fd8fca4c124686a100389512170fa6a0590bba0939392c93b9ad82766b","schema_version":"1.0","event_id":"sha256:ac0fb9fd8fca4c124686a100389512170fa6a0590bba0939392c93b9ad82766b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:ERGQNHXM427IBKN4AEFQNQUMQN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GAL: A Global-Attributes Assisted Labeling System for Outdoor Scenes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"C.-C. Jay Kuo, Chen Chen, Shangwen Li, Yuzhuo Ren","submitted_at":"2016-04-03T07:36:50Z","abstract_excerpt":"An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeling (GAL) system exploits both local features and global attributes. First, by following a classical method, we use local features to provide initial labels for all super-pixels. Then, we develop a set of techniques to extract global attributes from 2D outdoor images. They include sky lines, ground lines, vanishing lines, etc. Finally, we propose the GAL system that integrates global attributes in the conditional rand"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.00606","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":"2026-05-18T01:17:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jptgf4VdpJIfuqJaFWTtQGUlwb2Yo1J8/qlJPPeeZYeJO/wjyt1AMS2K/+q0wNhqZEK74kZhQkh1443VMGiJDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T10:12:07.550460Z"},"content_sha256":"14ad773a0e66d17b28e039451adc897d8e28dd701e657fd11c3b2ae7fa5efb3f","schema_version":"1.0","event_id":"sha256:14ad773a0e66d17b28e039451adc897d8e28dd701e657fd11c3b2ae7fa5efb3f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ERGQNHXM427IBKN4AEFQNQUMQN/bundle.json","state_url":"https://pith.science/pith/ERGQNHXM427IBKN4AEFQNQUMQN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ERGQNHXM427IBKN4AEFQNQUMQN/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":"2026-05-27T10:12:07Z","links":{"resolver":"https://pith.science/pith/ERGQNHXM427IBKN4AEFQNQUMQN","bundle":"https://pith.science/pith/ERGQNHXM427IBKN4AEFQNQUMQN/bundle.json","state":"https://pith.science/pith/ERGQNHXM427IBKN4AEFQNQUMQN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ERGQNHXM427IBKN4AEFQNQUMQN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ERGQNHXM427IBKN4AEFQNQUMQN","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":"8de491a42e16f2f4b342c88a3e6f4738c977c50d9c01c661b1e037d2bce742e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-03T07:36:50Z","title_canon_sha256":"468d88861be9496e5b54b2b20eefde4ad648d4c0f58c3748755b5f6dda203f7a"},"schema_version":"1.0","source":{"id":"1604.00606","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.00606","created_at":"2026-05-18T01:17:48Z"},{"alias_kind":"arxiv_version","alias_value":"1604.00606v1","created_at":"2026-05-18T01:17:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.00606","created_at":"2026-05-18T01:17:48Z"},{"alias_kind":"pith_short_12","alias_value":"ERGQNHXM427I","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_16","alias_value":"ERGQNHXM427IBKN4","created_at":"2026-05-18T12:30:12Z"},{"alias_kind":"pith_short_8","alias_value":"ERGQNHXM","created_at":"2026-05-18T12:30:12Z"}],"graph_snapshots":[{"event_id":"sha256:14ad773a0e66d17b28e039451adc897d8e28dd701e657fd11c3b2ae7fa5efb3f","target":"graph","created_at":"2026-05-18T01:17:48Z","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":"An approach that extracts global attributes from outdoor images to facilitate geometric layout labeling is investigated in this work. The proposed Global-attributes Assisted Labeling (GAL) system exploits both local features and global attributes. First, by following a classical method, we use local features to provide initial labels for all super-pixels. Then, we develop a set of techniques to extract global attributes from 2D outdoor images. They include sky lines, ground lines, vanishing lines, etc. Finally, we propose the GAL system that integrates global attributes in the conditional rand","authors_text":"C.-C. Jay Kuo, Chen Chen, Shangwen Li, Yuzhuo Ren","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-03T07:36:50Z","title":"GAL: A Global-Attributes Assisted Labeling System for Outdoor Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.00606","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:ac0fb9fd8fca4c124686a100389512170fa6a0590bba0939392c93b9ad82766b","target":"record","created_at":"2026-05-18T01:17:48Z","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":"8de491a42e16f2f4b342c88a3e6f4738c977c50d9c01c661b1e037d2bce742e0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-03T07:36:50Z","title_canon_sha256":"468d88861be9496e5b54b2b20eefde4ad648d4c0f58c3748755b5f6dda203f7a"},"schema_version":"1.0","source":{"id":"1604.00606","kind":"arxiv","version":1}},"canonical_sha256":"244d069eece6be80a9bc010b06c28c835b445b7bf6cf3cf9ab3e617102dd756c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"244d069eece6be80a9bc010b06c28c835b445b7bf6cf3cf9ab3e617102dd756c","first_computed_at":"2026-05-18T01:17:48.947242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:17:48.947242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fTLZgXesCQfFLmgbwaStRTTxgpW11SjgDKuNotqBVl6p1iccDcAsJZNrprlQl7ZU3KIMwctOCF/0mVs5YMyTBA==","signature_status":"signed_v1","signed_at":"2026-05-18T01:17:48.947972Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.00606","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ac0fb9fd8fca4c124686a100389512170fa6a0590bba0939392c93b9ad82766b","sha256:14ad773a0e66d17b28e039451adc897d8e28dd701e657fd11c3b2ae7fa5efb3f"],"state_sha256":"abd19ed84786d31cc0591a617d7ce27fac1696c8001d289b9ce7713584c794ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EH2YewGaRqeS9Kn89o+lofXTHeNJFHbvczlBQesxjf5IiHJRdsntWRpl+GnjGrmSZ4Q7cth8NLESy8vBZFDEDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T10:12:07.554028Z","bundle_sha256":"cededb47c540baa719fee3fd90c6fc1a5f110fdae1d80a774a9f6fcac74f095f"}}