{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:CI6GZJUMJ6AQ5EIUTXP6D7QOR2","short_pith_number":"pith:CI6GZJUM","schema_version":"1.0","canonical_sha256":"123c6ca68c4f810e91149ddfe1fe0e8e9e750b779301f1c5230696055ab6a18c","source":{"kind":"arxiv","id":"2606.08751","version":1},"attestation_state":"computed","paper":{"title":"Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Zhou, Jinkui Hao, Marlee Crews, Muhannad Fadhel, Ryan J. Avery, Scott M. Leonard, Tianqi Chen, Yuhan Liu","submitted_at":"2026-06-07T17:51:58Z","abstract_excerpt":"Accurate quantification and uptake measurement in PET are critical for assessing disease progression and supporting clinical decision-making. While high-count PET provides reliable image quality, the associated radiation dose and prolonged acquisition remain significant clinical concerns, motivating the adoption of low-count protocols. Diffusion-model-based methods have demonstrated strong potential for restoring low-count PET to near high-count quality, but their iterative sampling procedure becomes prohibitively expensive when applied to high-resolution 3D PET volumes, introducing substantia"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.08751","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-07T17:51:58Z","cross_cats_sorted":[],"title_canon_sha256":"6066e522d587af514b1714c57055c2b7581b640b9952d57a812eb150d25c70aa","abstract_canon_sha256":"bcbcc4bcf3b491f1fb2f40b06c2f072379f0512c2df69066d1068c95f2e0723a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T02:07:37.275361Z","signature_b64":"UsKmEmyA82TfslmCLOWRVMU1nP9eKNzfIvRVfPORZS8dBrivzaxUp4qqXVaiHhge8ZwbFdHKyg0FzbLTacTeAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"123c6ca68c4f810e91149ddfe1fe0e8e9e750b779301f1c5230696055ab6a18c","last_reissued_at":"2026-06-09T02:07:37.274435Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T02:07:37.274435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Less Is More: Training-Free Acceleration Framework of 3D Diffusion Models for Low-Count PET Denoising via Global-Local Trajectory Reduction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bo Zhou, Jinkui Hao, Marlee Crews, Muhannad Fadhel, Ryan J. Avery, Scott M. Leonard, Tianqi Chen, Yuhan Liu","submitted_at":"2026-06-07T17:51:58Z","abstract_excerpt":"Accurate quantification and uptake measurement in PET are critical for assessing disease progression and supporting clinical decision-making. While high-count PET provides reliable image quality, the associated radiation dose and prolonged acquisition remain significant clinical concerns, motivating the adoption of low-count protocols. Diffusion-model-based methods have demonstrated strong potential for restoring low-count PET to near high-count quality, but their iterative sampling procedure becomes prohibitively expensive when applied to high-resolution 3D PET volumes, introducing substantia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08751","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/2606.08751/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.08751","created_at":"2026-06-09T02:07:37.274591+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08751v1","created_at":"2026-06-09T02:07:37.274591+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08751","created_at":"2026-06-09T02:07:37.274591+00:00"},{"alias_kind":"pith_short_12","alias_value":"CI6GZJUMJ6AQ","created_at":"2026-06-09T02:07:37.274591+00:00"},{"alias_kind":"pith_short_16","alias_value":"CI6GZJUMJ6AQ5EIU","created_at":"2026-06-09T02:07:37.274591+00:00"},{"alias_kind":"pith_short_8","alias_value":"CI6GZJUM","created_at":"2026-06-09T02:07:37.274591+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2","json":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2.json","graph_json":"https://pith.science/api/pith-number/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/graph.json","events_json":"https://pith.science/api/pith-number/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/events.json","paper":"https://pith.science/paper/CI6GZJUM"},"agent_actions":{"view_html":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2","download_json":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2.json","view_paper":"https://pith.science/paper/CI6GZJUM","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08751&json=true","fetch_graph":"https://pith.science/api/pith-number/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/graph.json","fetch_events":"https://pith.science/api/pith-number/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/action/storage_attestation","attest_author":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/action/author_attestation","sign_citation":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/action/citation_signature","submit_replication":"https://pith.science/pith/CI6GZJUMJ6AQ5EIUTXP6D7QOR2/action/replication_record"}},"created_at":"2026-06-09T02:07:37.274591+00:00","updated_at":"2026-06-09T02:07:37.274591+00:00"}