{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:U2H7XDTX5INXAFKBXDG6KENTMF","short_pith_number":"pith:U2H7XDTX","canonical_record":{"source":{"id":"1907.07011","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T13:59:22Z","cross_cats_sorted":[],"title_canon_sha256":"efe521d8c196dff306841ef41b3499aa06bfebaaef1eee5c22cd5bd5dc37d2f0","abstract_canon_sha256":"c0a7221e05c49c1b11a8f45502b56f869912b29e21cbcb1ab7f60ced361a84c2"},"schema_version":"1.0"},"canonical_sha256":"a68ffb8e77ea1b701541b8cde511b361599831960942451ff6d35c2fc1aca177","source":{"kind":"arxiv","id":"1907.07011","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07011","created_at":"2026-05-17T23:39:23Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07011v2","created_at":"2026-05-17T23:39:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07011","created_at":"2026-05-17T23:39:23Z"},{"alias_kind":"pith_short_12","alias_value":"U2H7XDTX5INX","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U2H7XDTX5INXAFKB","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U2H7XDTX","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:U2H7XDTX5INXAFKBXDG6KENTMF","target":"record","payload":{"canonical_record":{"source":{"id":"1907.07011","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T13:59:22Z","cross_cats_sorted":[],"title_canon_sha256":"efe521d8c196dff306841ef41b3499aa06bfebaaef1eee5c22cd5bd5dc37d2f0","abstract_canon_sha256":"c0a7221e05c49c1b11a8f45502b56f869912b29e21cbcb1ab7f60ced361a84c2"},"schema_version":"1.0"},"canonical_sha256":"a68ffb8e77ea1b701541b8cde511b361599831960942451ff6d35c2fc1aca177","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:23.610374Z","signature_b64":"N8kC8D6EWXjnOru4BKOjurnYYWSH0RRLgvMXdxiaKq0ocMMpkbMhHEqcJmZ4Eatl/bvPvgsed2LVSEu3ADhRBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a68ffb8e77ea1b701541b8cde511b361599831960942451ff6d35c2fc1aca177","last_reissued_at":"2026-05-17T23:39:23.609727Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:23.609727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.07011","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":"2026-05-17T23:39:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2K8d8oRUZDNRHEPOi6vBky2ilfQD5CscTAAlAjKVRneVA7rlTg6vBy2OiHp0cVoX/rX2Kojq/8YZwnfwOAhCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:50:15.962217Z"},"content_sha256":"e34793a64e0b6bae0a9573c50cb039b20d93d8873c6bb7b33096e4b452acb38f","schema_version":"1.0","event_id":"sha256:e34793a64e0b6bae0a9573c50cb039b20d93d8873c6bb7b33096e4b452acb38f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:U2H7XDTX5INXAFKBXDG6KENTMF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Semantic Segmentation via Dilated Affinity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Boxi Wu, Deng Cai, Shuai Zhao, Wenqing Chu, Zheng Yang","submitted_at":"2019-07-16T13:59:22Z","abstract_excerpt":"Introducing explicit constraints on the structural predictions has been an effective way to improve the performance of semantic segmentation models. Existing methods are mainly based on insufficient hand-crafted rules that only partially capture the image structure, and some methods can also suffer from the efficiency issue. As a result, most of the state-of-the-art fully convolutional networks did not adopt these techniques. In this work, we propose a simple, fast yet effective method that exploits structural information through direct supervision with minor additional expense. To be specific"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07011","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":"2026-05-17T23:39:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ptzdJQQCOPLaLCQ56pEumvsXhkD/UAqD7H/mFlIh1SVPZQbwfAn2hAsYyaCogke+ihu736xuaEoLvlH0QmCPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T00:50:15.962940Z"},"content_sha256":"2e7acbdffe0a25f3e04dcf2026fcecfa7f1fc8943ec49007a75791b938b55336","schema_version":"1.0","event_id":"sha256:2e7acbdffe0a25f3e04dcf2026fcecfa7f1fc8943ec49007a75791b938b55336"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U2H7XDTX5INXAFKBXDG6KENTMF/bundle.json","state_url":"https://pith.science/pith/U2H7XDTX5INXAFKBXDG6KENTMF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U2H7XDTX5INXAFKBXDG6KENTMF/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":"2026-05-26T00:50:15Z","links":{"resolver":"https://pith.science/pith/U2H7XDTX5INXAFKBXDG6KENTMF","bundle":"https://pith.science/pith/U2H7XDTX5INXAFKBXDG6KENTMF/bundle.json","state":"https://pith.science/pith/U2H7XDTX5INXAFKBXDG6KENTMF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U2H7XDTX5INXAFKBXDG6KENTMF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:U2H7XDTX5INXAFKBXDG6KENTMF","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":"c0a7221e05c49c1b11a8f45502b56f869912b29e21cbcb1ab7f60ced361a84c2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T13:59:22Z","title_canon_sha256":"efe521d8c196dff306841ef41b3499aa06bfebaaef1eee5c22cd5bd5dc37d2f0"},"schema_version":"1.0","source":{"id":"1907.07011","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.07011","created_at":"2026-05-17T23:39:23Z"},{"alias_kind":"arxiv_version","alias_value":"1907.07011v2","created_at":"2026-05-17T23:39:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.07011","created_at":"2026-05-17T23:39:23Z"},{"alias_kind":"pith_short_12","alias_value":"U2H7XDTX5INX","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"U2H7XDTX5INXAFKB","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"U2H7XDTX","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:2e7acbdffe0a25f3e04dcf2026fcecfa7f1fc8943ec49007a75791b938b55336","target":"graph","created_at":"2026-05-17T23:39:23Z","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":"Introducing explicit constraints on the structural predictions has been an effective way to improve the performance of semantic segmentation models. Existing methods are mainly based on insufficient hand-crafted rules that only partially capture the image structure, and some methods can also suffer from the efficiency issue. As a result, most of the state-of-the-art fully convolutional networks did not adopt these techniques. In this work, we propose a simple, fast yet effective method that exploits structural information through direct supervision with minor additional expense. To be specific","authors_text":"Boxi Wu, Deng Cai, Shuai Zhao, Wenqing Chu, Zheng Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T13:59:22Z","title":"Improving Semantic Segmentation via Dilated Affinity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.07011","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:e34793a64e0b6bae0a9573c50cb039b20d93d8873c6bb7b33096e4b452acb38f","target":"record","created_at":"2026-05-17T23:39:23Z","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":"c0a7221e05c49c1b11a8f45502b56f869912b29e21cbcb1ab7f60ced361a84c2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-16T13:59:22Z","title_canon_sha256":"efe521d8c196dff306841ef41b3499aa06bfebaaef1eee5c22cd5bd5dc37d2f0"},"schema_version":"1.0","source":{"id":"1907.07011","kind":"arxiv","version":2}},"canonical_sha256":"a68ffb8e77ea1b701541b8cde511b361599831960942451ff6d35c2fc1aca177","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a68ffb8e77ea1b701541b8cde511b361599831960942451ff6d35c2fc1aca177","first_computed_at":"2026-05-17T23:39:23.609727Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:23.609727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N8kC8D6EWXjnOru4BKOjurnYYWSH0RRLgvMXdxiaKq0ocMMpkbMhHEqcJmZ4Eatl/bvPvgsed2LVSEu3ADhRBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:23.610374Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.07011","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e34793a64e0b6bae0a9573c50cb039b20d93d8873c6bb7b33096e4b452acb38f","sha256:2e7acbdffe0a25f3e04dcf2026fcecfa7f1fc8943ec49007a75791b938b55336"],"state_sha256":"47da3a39832ae8a99cf1259c3c7b91b7781f7719ab359b951e4269df69342ac8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BV1+E681zIf22o8k5ZrWk+csIvworHmyUzGmJIWurvg1fjuEK5A8dX/HtdPM33zNftsixdI1LvbWC0UVzjCRCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T00:50:15.966555Z","bundle_sha256":"445b72a2a325a0b5cd8850bdad7430b5c37ffebf6b8a12dcaf729be7b4272976"}}