{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:EOVMCWKSQ4EVCYESOQYBROJ54E","short_pith_number":"pith:EOVMCWKS","canonical_record":{"source":{"id":"2304.14900","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-28T15:16:34Z","cross_cats_sorted":[],"title_canon_sha256":"441d3f5f0c1cb08eaa4262879ea6435f15ca29c94b343ad8f6d3b9cc63b93b42","abstract_canon_sha256":"e778c345b07c7be0ef2568764926ea07ef49bc360485bca0b625207c237ac33d"},"schema_version":"1.0"},"canonical_sha256":"23aac159528709516092743018b93de12c5de0d20dcd770fe895957d2a7a1cec","source":{"kind":"arxiv","id":"2304.14900","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.14900","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"arxiv_version","alias_value":"2304.14900v1","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.14900","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"pith_short_12","alias_value":"EOVMCWKSQ4EV","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"pith_short_16","alias_value":"EOVMCWKSQ4EVCYES","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"pith_short_8","alias_value":"EOVMCWKS","created_at":"2026-07-05T06:05:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:EOVMCWKSQ4EVCYESOQYBROJ54E","target":"record","payload":{"canonical_record":{"source":{"id":"2304.14900","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-28T15:16:34Z","cross_cats_sorted":[],"title_canon_sha256":"441d3f5f0c1cb08eaa4262879ea6435f15ca29c94b343ad8f6d3b9cc63b93b42","abstract_canon_sha256":"e778c345b07c7be0ef2568764926ea07ef49bc360485bca0b625207c237ac33d"},"schema_version":"1.0"},"canonical_sha256":"23aac159528709516092743018b93de12c5de0d20dcd770fe895957d2a7a1cec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:05:22.136821Z","signature_b64":"Y/TPYmO+t9XVrVsVhhHZT2VOxFVFnJNb0RzbZLaoQ+rA8nJ07NTGjac0RQC7iegwPcsiCDZ/ZhCOvuLp0sHFDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23aac159528709516092743018b93de12c5de0d20dcd770fe895957d2a7a1cec","last_reissued_at":"2026-07-05T06:05:22.136479Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:05:22.136479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.14900","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":"2026-07-05T06:05:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h8JqF95D/PKJ9XsFR1OMFBYgxAVS+5SD3ENVr6br4MQASUIB9UhaekzxHrqxA85xZS9BzqQsN0KLzMIQb2plAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:53:19.438225Z"},"content_sha256":"88547f7b46278dd0d2b448fccd429d9eb00a41b3581d0ba0b98b786da256c320","schema_version":"1.0","event_id":"sha256:88547f7b46278dd0d2b448fccd429d9eb00a41b3581d0ba0b98b786da256c320"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:EOVMCWKSQ4EVCYESOQYBROJ54E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unified Noise-aware Network for Low-count PET Denoising","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.IV","authors_text":"Bo Zhou, Chi Liu, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo","submitted_at":"2023-04-28T15:16:34Z","abstract_excerpt":"As PET imaging is accompanied by substantial radiation exposure and cancer risk, reducing radiation dose in PET scans is an important topic. However, low-count PET scans often suffer from high image noise, which can negatively impact image quality and diagnostic performance. Recent advances in deep learning have shown great potential for recovering underlying signal from noisy counterparts. However, neural networks trained on a specific noise level cannot be easily generalized to other noise levels due to different noise amplitude and variances. To obtain optimal denoised results, we may need "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.14900","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2304.14900/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":"2026-07-05T06:05:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"km6wOjM5hGpI4HXnuWy7l4HKBuwYqo+Nxyu/BMSYfvDPsO3FnOW2JAseYl53jgfOnzeeAh8Y/R+QbhOsa1MXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T14:53:19.438842Z"},"content_sha256":"2ad746924ece88b44b3ef996bab55fce499d8f712ea08c578b4913df22e8567e","schema_version":"1.0","event_id":"sha256:2ad746924ece88b44b3ef996bab55fce499d8f712ea08c578b4913df22e8567e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EOVMCWKSQ4EVCYESOQYBROJ54E/bundle.json","state_url":"https://pith.science/pith/EOVMCWKSQ4EVCYESOQYBROJ54E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EOVMCWKSQ4EVCYESOQYBROJ54E/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":"2026-08-04T14:53:19Z","links":{"resolver":"https://pith.science/pith/EOVMCWKSQ4EVCYESOQYBROJ54E","bundle":"https://pith.science/pith/EOVMCWKSQ4EVCYESOQYBROJ54E/bundle.json","state":"https://pith.science/pith/EOVMCWKSQ4EVCYESOQYBROJ54E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EOVMCWKSQ4EVCYESOQYBROJ54E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EOVMCWKSQ4EVCYESOQYBROJ54E","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":"e778c345b07c7be0ef2568764926ea07ef49bc360485bca0b625207c237ac33d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-28T15:16:34Z","title_canon_sha256":"441d3f5f0c1cb08eaa4262879ea6435f15ca29c94b343ad8f6d3b9cc63b93b42"},"schema_version":"1.0","source":{"id":"2304.14900","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.14900","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"arxiv_version","alias_value":"2304.14900v1","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.14900","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"pith_short_12","alias_value":"EOVMCWKSQ4EV","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"pith_short_16","alias_value":"EOVMCWKSQ4EVCYES","created_at":"2026-07-05T06:05:22Z"},{"alias_kind":"pith_short_8","alias_value":"EOVMCWKS","created_at":"2026-07-05T06:05:22Z"}],"graph_snapshots":[{"event_id":"sha256:2ad746924ece88b44b3ef996bab55fce499d8f712ea08c578b4913df22e8567e","target":"graph","created_at":"2026-07-05T06:05:22Z","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/2304.14900/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As PET imaging is accompanied by substantial radiation exposure and cancer risk, reducing radiation dose in PET scans is an important topic. However, low-count PET scans often suffer from high image noise, which can negatively impact image quality and diagnostic performance. Recent advances in deep learning have shown great potential for recovering underlying signal from noisy counterparts. However, neural networks trained on a specific noise level cannot be easily generalized to other noise levels due to different noise amplitude and variances. To obtain optimal denoised results, we may need ","authors_text":"Bo Zhou, Chi Liu, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-28T15:16:34Z","title":"Unified Noise-aware Network for Low-count PET Denoising"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.14900","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":"sha256:88547f7b46278dd0d2b448fccd429d9eb00a41b3581d0ba0b98b786da256c320","target":"record","created_at":"2026-07-05T06:05:22Z","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":"e778c345b07c7be0ef2568764926ea07ef49bc360485bca0b625207c237ac33d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.IV","submitted_at":"2023-04-28T15:16:34Z","title_canon_sha256":"441d3f5f0c1cb08eaa4262879ea6435f15ca29c94b343ad8f6d3b9cc63b93b42"},"schema_version":"1.0","source":{"id":"2304.14900","kind":"arxiv","version":1}},"canonical_sha256":"23aac159528709516092743018b93de12c5de0d20dcd770fe895957d2a7a1cec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23aac159528709516092743018b93de12c5de0d20dcd770fe895957d2a7a1cec","first_computed_at":"2026-07-05T06:05:22.136479Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:05:22.136479Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y/TPYmO+t9XVrVsVhhHZT2VOxFVFnJNb0RzbZLaoQ+rA8nJ07NTGjac0RQC7iegwPcsiCDZ/ZhCOvuLp0sHFDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:05:22.136821Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.14900","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:88547f7b46278dd0d2b448fccd429d9eb00a41b3581d0ba0b98b786da256c320","sha256:2ad746924ece88b44b3ef996bab55fce499d8f712ea08c578b4913df22e8567e"],"state_sha256":"00c6debfff301ff4b9f9bfa9761441f01122533f189877f6ef147fc486a43ce8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8yYxpSgIvv61krE5lmOF0NvLLh4v51HrHt7FE9GtfWjWcI9pEPs0BhbHsRX3N71si/ni5lvQjJOw4i1nhkJJCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T14:53:19.465557Z","bundle_sha256":"36c5a17a5bcaae0f78db0e33fd83daa2e6c3c7b69a1a24cff855621416649c05"}}