{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:G43V54CPOYTNYJVCXLSNCOYLPO","short_pith_number":"pith:G43V54CP","canonical_record":{"source":{"id":"2006.06278","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:41Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a603696f91f43733d58ca70d5c22b47aa58196966556613ebc477ddd215d8b08","abstract_canon_sha256":"738441b2b61d5dc0502fccdd5ad28831045a3879ceaade57177cbe1d43e1696b"},"schema_version":"1.0"},"canonical_sha256":"37375ef04f7626dc26a2bae4d13b0b7b9da994984f19bff8119de49870ea3a96","source":{"kind":"arxiv","id":"2006.06278","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06278","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06278v3","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06278","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"pith_short_12","alias_value":"G43V54CPOYTN","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"pith_short_16","alias_value":"G43V54CPOYTNYJVC","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"pith_short_8","alias_value":"G43V54CP","created_at":"2026-07-05T02:00:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:G43V54CPOYTNYJVCXLSNCOYLPO","target":"record","payload":{"canonical_record":{"source":{"id":"2006.06278","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:41Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a603696f91f43733d58ca70d5c22b47aa58196966556613ebc477ddd215d8b08","abstract_canon_sha256":"738441b2b61d5dc0502fccdd5ad28831045a3879ceaade57177cbe1d43e1696b"},"schema_version":"1.0"},"canonical_sha256":"37375ef04f7626dc26a2bae4d13b0b7b9da994984f19bff8119de49870ea3a96","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:00:46.733418Z","signature_b64":"9LmIQoL0DzN02JbmtHFOIy/2lw3cVofyT77t8Y2jR9OYB3jfnkOufkGkVym9soNR9zC65sDz01wFyCoyF1vbDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37375ef04f7626dc26a2bae4d13b0b7b9da994984f19bff8119de49870ea3a96","last_reissued_at":"2026-07-05T02:00:46.733007Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:00:46.733007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.06278","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:00:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"c0vRWD7q/GAvCnVLtbo2E0d4RNJWL5GBN5SFcy1yZt1V5HhXuzBRn3qtv3yx4Rd1RqSPcr5u2mwafh/uTeP3BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T18:13:08.252950Z"},"content_sha256":"6ed07a5c13dd218b41255a24caf7972f23ca5999e7c43a2c209bfbdfb751db12","schema_version":"1.0","event_id":"sha256:6ed07a5c13dd218b41255a24caf7972f23ca5999e7c43a2c209bfbdfb751db12"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:G43V54CPOYTNYJVCXLSNCOYLPO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.IV","authors_text":"Chen Zu, Jianghong Xiao, Jiliu Zhou, Luping Zhou, Mei Hong, Pin Tang, Rui Yan, Xingchen Peng, Xi Wu, Yan Wang","submitted_at":"2020-06-11T09:33:41Z","abstract_excerpt":"Precise and accurate segmentation of the most common head-and-neck tumor, nasopharyngeal carcinoma (NPC), in MRI sheds light on treatment and regulatory decisions making. However, the large variations in the lesion size and shape of NPC, boundary ambiguity, as well as the limited available annotated samples conspire NPC segmentation in MRI towards a challenging task. In this paper, we propose a Dense SegU-net (DSU-net) framework for automatic NPC segmentation in MRI. Our contribution is threefold. First, different from the traditional decoder in U-net using upconvolution for upsamling, we argu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06278","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2006.06278/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T02:00:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"S2CybPjMDj5T0uXlG3sDAIjBr3qqutky7wojrNckcq7Qywn8JLghtnOpt537SG38O67FqSHOjY+lWllklZpnAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T18:13:08.253338Z"},"content_sha256":"1a3d2698fcce0ed9a8ae55538afa50771394da6795369df1ed5abf97594e39c6","schema_version":"1.0","event_id":"sha256:1a3d2698fcce0ed9a8ae55538afa50771394da6795369df1ed5abf97594e39c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G43V54CPOYTNYJVCXLSNCOYLPO/bundle.json","state_url":"https://pith.science/pith/G43V54CPOYTNYJVCXLSNCOYLPO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G43V54CPOYTNYJVCXLSNCOYLPO/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":"2026-07-08T18:13:08Z","links":{"resolver":"https://pith.science/pith/G43V54CPOYTNYJVCXLSNCOYLPO","bundle":"https://pith.science/pith/G43V54CPOYTNYJVCXLSNCOYLPO/bundle.json","state":"https://pith.science/pith/G43V54CPOYTNYJVCXLSNCOYLPO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G43V54CPOYTNYJVCXLSNCOYLPO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:G43V54CPOYTNYJVCXLSNCOYLPO","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":"738441b2b61d5dc0502fccdd5ad28831045a3879ceaade57177cbe1d43e1696b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:41Z","title_canon_sha256":"a603696f91f43733d58ca70d5c22b47aa58196966556613ebc477ddd215d8b08"},"schema_version":"1.0","source":{"id":"2006.06278","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06278","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06278v3","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06278","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"pith_short_12","alias_value":"G43V54CPOYTN","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"pith_short_16","alias_value":"G43V54CPOYTNYJVC","created_at":"2026-07-05T02:00:46Z"},{"alias_kind":"pith_short_8","alias_value":"G43V54CP","created_at":"2026-07-05T02:00:46Z"}],"graph_snapshots":[{"event_id":"sha256:1a3d2698fcce0ed9a8ae55538afa50771394da6795369df1ed5abf97594e39c6","target":"graph","created_at":"2026-07-05T02:00:46Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2006.06278/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Precise and accurate segmentation of the most common head-and-neck tumor, nasopharyngeal carcinoma (NPC), in MRI sheds light on treatment and regulatory decisions making. However, the large variations in the lesion size and shape of NPC, boundary ambiguity, as well as the limited available annotated samples conspire NPC segmentation in MRI towards a challenging task. In this paper, we propose a Dense SegU-net (DSU-net) framework for automatic NPC segmentation in MRI. Our contribution is threefold. First, different from the traditional decoder in U-net using upconvolution for upsamling, we argu","authors_text":"Chen Zu, Jianghong Xiao, Jiliu Zhou, Luping Zhou, Mei Hong, Pin Tang, Rui Yan, Xingchen Peng, Xi Wu, Yan Wang","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:41Z","title":"DSU-net: Dense SegU-net for automatic head-and-neck tumor segmentation in MR images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06278","kind":"arxiv","version":3},"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":"sha256:6ed07a5c13dd218b41255a24caf7972f23ca5999e7c43a2c209bfbdfb751db12","target":"record","created_at":"2026-07-05T02:00:46Z","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":"738441b2b61d5dc0502fccdd5ad28831045a3879ceaade57177cbe1d43e1696b","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.IV","submitted_at":"2020-06-11T09:33:41Z","title_canon_sha256":"a603696f91f43733d58ca70d5c22b47aa58196966556613ebc477ddd215d8b08"},"schema_version":"1.0","source":{"id":"2006.06278","kind":"arxiv","version":3}},"canonical_sha256":"37375ef04f7626dc26a2bae4d13b0b7b9da994984f19bff8119de49870ea3a96","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37375ef04f7626dc26a2bae4d13b0b7b9da994984f19bff8119de49870ea3a96","first_computed_at":"2026-07-05T02:00:46.733007Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:00:46.733007Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9LmIQoL0DzN02JbmtHFOIy/2lw3cVofyT77t8Y2jR9OYB3jfnkOufkGkVym9soNR9zC65sDz01wFyCoyF1vbDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:00:46.733418Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.06278","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ed07a5c13dd218b41255a24caf7972f23ca5999e7c43a2c209bfbdfb751db12","sha256:1a3d2698fcce0ed9a8ae55538afa50771394da6795369df1ed5abf97594e39c6"],"state_sha256":"044e6a9e703ac1720bf8d31a274b01eaba1aa12a69080b6b596636bb895123bb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zjc0He0hdsY8DgGGuvRRkLrA7Hpc+Ptc8x7qIRe3vdEx9fYW+tr0PajWozesWm5I/IxboD9AOJsDGaSf4uUpCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T18:13:08.255562Z","bundle_sha256":"5ba25353ac380de4df2e7d614eb34bed42db0a7f1f10f54a933f39a07d66c132"}}