{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:DGBJO5DZLRP6FN5GKBCGKK5NSN","short_pith_number":"pith:DGBJO5DZ","canonical_record":{"source":{"id":"1812.10956","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-28T11:34:12Z","cross_cats_sorted":[],"title_canon_sha256":"5bf59da72a5c97af55178d24c33bf7cf1ca544e4a68a3dc4c6d83bf92b82a478","abstract_canon_sha256":"85c01241d0b428f55f2c50d48eb4fbb49b1a9fb24aa646c7fe9d4474c3e8209a"},"schema_version":"1.0"},"canonical_sha256":"19829774795c5fe2b7a65044652bad9349c9e65271ff4100ac2aa5add52ec670","source":{"kind":"arxiv","id":"1812.10956","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10956","created_at":"2026-05-17T23:49:50Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10956v2","created_at":"2026-05-17T23:49:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10956","created_at":"2026-05-17T23:49:50Z"},{"alias_kind":"pith_short_12","alias_value":"DGBJO5DZLRP6","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DGBJO5DZLRP6FN5G","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DGBJO5DZ","created_at":"2026-05-18T12:32:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:DGBJO5DZLRP6FN5GKBCGKK5NSN","target":"record","payload":{"canonical_record":{"source":{"id":"1812.10956","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-28T11:34:12Z","cross_cats_sorted":[],"title_canon_sha256":"5bf59da72a5c97af55178d24c33bf7cf1ca544e4a68a3dc4c6d83bf92b82a478","abstract_canon_sha256":"85c01241d0b428f55f2c50d48eb4fbb49b1a9fb24aa646c7fe9d4474c3e8209a"},"schema_version":"1.0"},"canonical_sha256":"19829774795c5fe2b7a65044652bad9349c9e65271ff4100ac2aa5add52ec670","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:50.341836Z","signature_b64":"hxMYxD84mXLSDuloqo8sguKW47EOpN0zwnegC6cuQwX7rmnXqRNwmyrGt2aDIr6jpXEQ30f90t4mF7teQTlFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"19829774795c5fe2b7a65044652bad9349c9e65271ff4100ac2aa5add52ec670","last_reissued_at":"2026-05-17T23:49:50.341267Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:50.341267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.10956","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":"2026-05-17T23:49:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gP7OMpr3mnSg/cATdo4b/BfGX0Ik87VnFQXCwhslxH/i6ZauoaVcXQ7hwtq3KiRcV6M1FHqyPBWgg1v/WqTTDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T05:03:51.028157Z"},"content_sha256":"1c8ab00ca0c02dbc44cc473549775e5e1651108376d865d1e43403ece0fd02b4","schema_version":"1.0","event_id":"sha256:1c8ab00ca0c02dbc44cc473549775e5e1651108376d865d1e43403ece0fd02b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:DGBJO5DZLRP6FN5GKBCGKK5NSN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Salient Object Detection via High-to-Low Hierarchical Context Aggregation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guang-Yu Nie, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Yun Liu, Yu Qiu","submitted_at":"2018-12-28T11:34:12Z","abstract_excerpt":"Recent progress on salient object detection mainly aims at exploiting how to effectively integrate convolutional side-output features in convolutional neural networks (CNN). Based on this, most of the existing state-of-the-art saliency detectors design complex network structures to fuse the side-output features of the backbone feature extraction networks. However, should the fusion strategies be more and more complex for accurate salient object detection? In this paper, we observe that the contexts of a natural image can be well expressed by a high-to-low self-learning of side-output convoluti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10956","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:49:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n/ijvxrJbTRb71OXEidv2zfLZuNWlHRpuyVK5AD+4QUeYCsEsePwFeiGHKmQcXMnXamH4rvkWwKkfuvmQydlDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T05:03:51.028512Z"},"content_sha256":"1439c6cb12daf7aab6fb4163b68edf46a72f7e89c85ee18ca3f3c296aff97bd8","schema_version":"1.0","event_id":"sha256:1439c6cb12daf7aab6fb4163b68edf46a72f7e89c85ee18ca3f3c296aff97bd8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN/bundle.json","state_url":"https://pith.science/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN/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":"2026-06-03T05:03:51Z","links":{"resolver":"https://pith.science/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN","bundle":"https://pith.science/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN/bundle.json","state":"https://pith.science/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DGBJO5DZLRP6FN5GKBCGKK5NSN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:DGBJO5DZLRP6FN5GKBCGKK5NSN","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":"85c01241d0b428f55f2c50d48eb4fbb49b1a9fb24aa646c7fe9d4474c3e8209a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-28T11:34:12Z","title_canon_sha256":"5bf59da72a5c97af55178d24c33bf7cf1ca544e4a68a3dc4c6d83bf92b82a478"},"schema_version":"1.0","source":{"id":"1812.10956","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10956","created_at":"2026-05-17T23:49:50Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10956v2","created_at":"2026-05-17T23:49:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10956","created_at":"2026-05-17T23:49:50Z"},{"alias_kind":"pith_short_12","alias_value":"DGBJO5DZLRP6","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_16","alias_value":"DGBJO5DZLRP6FN5G","created_at":"2026-05-18T12:32:19Z"},{"alias_kind":"pith_short_8","alias_value":"DGBJO5DZ","created_at":"2026-05-18T12:32:19Z"}],"graph_snapshots":[{"event_id":"sha256:1439c6cb12daf7aab6fb4163b68edf46a72f7e89c85ee18ca3f3c296aff97bd8","target":"graph","created_at":"2026-05-17T23:49:50Z","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":"Recent progress on salient object detection mainly aims at exploiting how to effectively integrate convolutional side-output features in convolutional neural networks (CNN). Based on this, most of the existing state-of-the-art saliency detectors design complex network structures to fuse the side-output features of the backbone feature extraction networks. However, should the fusion strategies be more and more complex for accurate salient object detection? In this paper, we observe that the contexts of a natural image can be well expressed by a high-to-low self-learning of side-output convoluti","authors_text":"Guang-Yu Nie, JiaWang Bian, Le Zhang, Ming-Ming Cheng, Yun Liu, Yu Qiu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-28T11:34:12Z","title":"Salient Object Detection via High-to-Low Hierarchical Context Aggregation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10956","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":"sha256:1c8ab00ca0c02dbc44cc473549775e5e1651108376d865d1e43403ece0fd02b4","target":"record","created_at":"2026-05-17T23:49:50Z","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":"85c01241d0b428f55f2c50d48eb4fbb49b1a9fb24aa646c7fe9d4474c3e8209a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-28T11:34:12Z","title_canon_sha256":"5bf59da72a5c97af55178d24c33bf7cf1ca544e4a68a3dc4c6d83bf92b82a478"},"schema_version":"1.0","source":{"id":"1812.10956","kind":"arxiv","version":2}},"canonical_sha256":"19829774795c5fe2b7a65044652bad9349c9e65271ff4100ac2aa5add52ec670","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"19829774795c5fe2b7a65044652bad9349c9e65271ff4100ac2aa5add52ec670","first_computed_at":"2026-05-17T23:49:50.341267Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:50.341267Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hxMYxD84mXLSDuloqo8sguKW47EOpN0zwnegC6cuQwX7rmnXqRNwmyrGt2aDIr6jpXEQ30f90t4mF7teQTlFCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:50.341836Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.10956","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c8ab00ca0c02dbc44cc473549775e5e1651108376d865d1e43403ece0fd02b4","sha256:1439c6cb12daf7aab6fb4163b68edf46a72f7e89c85ee18ca3f3c296aff97bd8"],"state_sha256":"8808921285165272aa99cd95e7804d8be1d3df88d4f36a07ceb7ee0498abc34d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0oJ3q9koJU3NYHgklcNAMS/7MeW8Ylyi72tTwI4uHI91CHFik03wqY2idWcdyLVZiYNPYsMK0IC38sl2eb9JCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T05:03:51.030374Z","bundle_sha256":"6975929c09d6b90626523388df38c7c8c5ed478c720bf226da50ef93d7e5427d"}}