{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:KP22HUDHL7J3RFWAEGJ3G7IWDA","short_pith_number":"pith:KP22HUDH","canonical_record":{"source":{"id":"1809.06461","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T22:25:55Z","cross_cats_sorted":[],"title_canon_sha256":"beb77b3ed2d1e0897775d58a44c1b69cafa4f799ebc96be5561c8dbdc4be9f3f","abstract_canon_sha256":"6a9825b9a62ed0281fc0d5a449cc69bf64b1e8a9c0d505ee7fee5a0c9dd661a3"},"schema_version":"1.0"},"canonical_sha256":"53f5a3d0675fd3b896c02193b37d1618005bd78133bc92fbf0479bb28927c830","source":{"kind":"arxiv","id":"1809.06461","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06461","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06461v1","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06461","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"KP22HUDHL7J3","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KP22HUDHL7J3RFWA","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KP22HUDH","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:KP22HUDHL7J3RFWAEGJ3G7IWDA","target":"record","payload":{"canonical_record":{"source":{"id":"1809.06461","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T22:25:55Z","cross_cats_sorted":[],"title_canon_sha256":"beb77b3ed2d1e0897775d58a44c1b69cafa4f799ebc96be5561c8dbdc4be9f3f","abstract_canon_sha256":"6a9825b9a62ed0281fc0d5a449cc69bf64b1e8a9c0d505ee7fee5a0c9dd661a3"},"schema_version":"1.0"},"canonical_sha256":"53f5a3d0675fd3b896c02193b37d1618005bd78133bc92fbf0479bb28927c830","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:05:27.142909Z","signature_b64":"ZlcVZDKiG0WxfID5Uea4Z4Vk2VT3AJduU/9yXCgur6x98hNXZoHYnvQxWrZj48M5KhM9OsijmZhEID3J5QBQBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53f5a3d0675fd3b896c02193b37d1618005bd78133bc92fbf0479bb28927c830","last_reissued_at":"2026-05-18T00:05:27.142467Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:05:27.142467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.06461","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":"2026-05-18T00:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D2xNq+Qevd+uoaKUFrXsZjXpVyrKMVIMWtaGHKqNZp3aeQ3/mOFF1ouUY/Rso2zRb1um09mH1WLIcAjk0zgCDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:13:12.850349Z"},"content_sha256":"8a2ac30583e9986f7bea4498d04acf8c0cfd92720890fab1d8c69c0c672a7a7e","schema_version":"1.0","event_id":"sha256:8a2ac30583e9986f7bea4498d04acf8c0cfd92720890fab1d8c69c0c672a7a7e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:KP22HUDHL7J3RFWAEGJ3G7IWDA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mask Editor : an Image Annotation Tool for Image Segmentation Tasks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuanhai Zhang, Gary Kunkel, Kurt Loken, Zhiyong Xiao, Zhiyu Chen","submitted_at":"2018-09-17T22:25:55Z","abstract_excerpt":"Deep convolutional neural network (DCNN) is the state-of-the-art method for image segmentation, which is one of key challenging computer vision tasks. However, DCNN requires a lot of training images with corresponding image masks to get a good segmentation result. Image annotation software which is easy to use and allows fast image mask generation is in great demand. To the best of our knowledge, all existing image annotation software support only drawing bounding polygons, bounding boxes, or bounding ellipses to mark target objects. These existing software are inefficient when targeting objec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06461","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":"2026-05-18T00:05:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3+Dym9LWmWo7GPDI/iCIU3WumvAvXM9t3mIzltaGyqqqEoqM68kIRhfk4tvuyNbpwPY0Rc16rEoPrNP8QwQEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T15:13:12.850695Z"},"content_sha256":"845e54df32f7630017828d9bccab75baf2c35ba6a25802b24fa0a38484b8d816","schema_version":"1.0","event_id":"sha256:845e54df32f7630017828d9bccab75baf2c35ba6a25802b24fa0a38484b8d816"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA/bundle.json","state_url":"https://pith.science/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA/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":"2026-08-14T15:13:12Z","links":{"resolver":"https://pith.science/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA","bundle":"https://pith.science/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA/bundle.json","state":"https://pith.science/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KP22HUDHL7J3RFWAEGJ3G7IWDA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KP22HUDHL7J3RFWAEGJ3G7IWDA","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":"6a9825b9a62ed0281fc0d5a449cc69bf64b1e8a9c0d505ee7fee5a0c9dd661a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T22:25:55Z","title_canon_sha256":"beb77b3ed2d1e0897775d58a44c1b69cafa4f799ebc96be5561c8dbdc4be9f3f"},"schema_version":"1.0","source":{"id":"1809.06461","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.06461","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"arxiv_version","alias_value":"1809.06461v1","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.06461","created_at":"2026-05-18T00:05:27Z"},{"alias_kind":"pith_short_12","alias_value":"KP22HUDHL7J3","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KP22HUDHL7J3RFWA","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KP22HUDH","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:845e54df32f7630017828d9bccab75baf2c35ba6a25802b24fa0a38484b8d816","target":"graph","created_at":"2026-05-18T00:05:27Z","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":"Deep convolutional neural network (DCNN) is the state-of-the-art method for image segmentation, which is one of key challenging computer vision tasks. However, DCNN requires a lot of training images with corresponding image masks to get a good segmentation result. Image annotation software which is easy to use and allows fast image mask generation is in great demand. To the best of our knowledge, all existing image annotation software support only drawing bounding polygons, bounding boxes, or bounding ellipses to mark target objects. These existing software are inefficient when targeting objec","authors_text":"Chuanhai Zhang, Gary Kunkel, Kurt Loken, Zhiyong Xiao, Zhiyu Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T22:25:55Z","title":"Mask Editor : an Image Annotation Tool for Image Segmentation Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.06461","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":"sha256:8a2ac30583e9986f7bea4498d04acf8c0cfd92720890fab1d8c69c0c672a7a7e","target":"record","created_at":"2026-05-18T00:05:27Z","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":"6a9825b9a62ed0281fc0d5a449cc69bf64b1e8a9c0d505ee7fee5a0c9dd661a3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-09-17T22:25:55Z","title_canon_sha256":"beb77b3ed2d1e0897775d58a44c1b69cafa4f799ebc96be5561c8dbdc4be9f3f"},"schema_version":"1.0","source":{"id":"1809.06461","kind":"arxiv","version":1}},"canonical_sha256":"53f5a3d0675fd3b896c02193b37d1618005bd78133bc92fbf0479bb28927c830","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"53f5a3d0675fd3b896c02193b37d1618005bd78133bc92fbf0479bb28927c830","first_computed_at":"2026-05-18T00:05:27.142467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:05:27.142467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ZlcVZDKiG0WxfID5Uea4Z4Vk2VT3AJduU/9yXCgur6x98hNXZoHYnvQxWrZj48M5KhM9OsijmZhEID3J5QBQBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:05:27.142909Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.06461","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a2ac30583e9986f7bea4498d04acf8c0cfd92720890fab1d8c69c0c672a7a7e","sha256:845e54df32f7630017828d9bccab75baf2c35ba6a25802b24fa0a38484b8d816"],"state_sha256":"4d704af5e3214a47e192a4f846b7a45e62c159c8e86fb276ace032485d2b693b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lfj1oOw5MxVC9EiVTbe2SpxqYVOReJFA9pCHpx6ukIswIIp/iA5emXjyySUiywqD6GmncYDn27ZHuKh8aZ44Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T15:13:12.854002Z","bundle_sha256":"1ca481693b72d52886d1fcbb7ed9cfcb01938da7d2f72980b5aa354de0e57440"}}