{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2Q74PIDDDANJLZMSGD57KUWDLC","short_pith_number":"pith:2Q74PIDD","canonical_record":{"source":{"id":"2405.11064","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-17T19:39:15Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a47dd729dd65b005040c14be851009ba84f5b456e36cc12d2175843957eeb0c5","abstract_canon_sha256":"68fa6f13726f70e26c1786eb700c499e3cd1f7ad62907f69f9cc400dc2f507c7"},"schema_version":"1.0"},"canonical_sha256":"d43fc7a063181a95e59230fbf552c358a26773dc06d4b9e6cf3c2f962984c2d8","source":{"kind":"arxiv","id":"2405.11064","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11064","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11064v1","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11064","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_12","alias_value":"2Q74PIDDDANJ","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_16","alias_value":"2Q74PIDDDANJLZMS","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_8","alias_value":"2Q74PIDD","created_at":"2026-07-05T08:20:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2Q74PIDDDANJLZMSGD57KUWDLC","target":"record","payload":{"canonical_record":{"source":{"id":"2405.11064","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-17T19:39:15Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"a47dd729dd65b005040c14be851009ba84f5b456e36cc12d2175843957eeb0c5","abstract_canon_sha256":"68fa6f13726f70e26c1786eb700c499e3cd1f7ad62907f69f9cc400dc2f507c7"},"schema_version":"1.0"},"canonical_sha256":"d43fc7a063181a95e59230fbf552c358a26773dc06d4b9e6cf3c2f962984c2d8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:32.602013Z","signature_b64":"3U/L+nD+8R+A8EjFdTmoFcymlgSfVa/7X5qCKbnZmOGQTs8X8W6gd9grKtPM69zV1yqpo2oA+CfH5UK3ULrZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d43fc7a063181a95e59230fbf552c358a26773dc06d4b9e6cf3c2f962984c2d8","last_reissued_at":"2026-07-05T08:20:32.601576Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:32.601576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.11064","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":"2026-07-05T08:20:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jy0JzZ1iB4cmS0KiZCZfwxVbFCtUXReCFiVRt84mG+/smtrJMPe/t5OBwsrOs1eIULl3JaqNsLYFEr6t8xb+Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T21:16:31.854214Z"},"content_sha256":"f66c2ac90d0dc6d444fdee8118372962b9da3b749ccfb7371f617025c14b71f5","schema_version":"1.0","event_id":"sha256:f66c2ac90d0dc6d444fdee8118372962b9da3b749ccfb7371f617025c14b71f5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2Q74PIDDDANJLZMSGD57KUWDLC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"eess.SP","authors_text":"Alison Lim, Emilia Santana, Jialiang Zhang, Jiaming Liu, Marcus Foston, Patrick Judge, Shirin Shoushtari, Ulugbek S. Kamilov, Zihao Zou","submitted_at":"2024-05-17T19:39:15Z","abstract_excerpt":"Nuclear Magnetic Resonance (NMR) spectroscopy is a widely-used technique in the fields of bio-medicine, chemistry, and biology for the analysis of chemicals and proteins. The signals from NMR spectroscopy often have low signal-to-noise ratio (SNR) due to acquisition noise, which poses significant challenges for subsequent analysis. Recent work has explored the potential of deep learning (DL) for NMR denoising, showing significant performance gains over traditional methods such as total variation (TV) denoising. This paper shows that the performance of DL denoising for NMR can be further improv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11064","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/2405.11064/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":"2026-07-05T08:20:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cW2uef+JNW7+URBFBox6Ivb5Ib8KoKQmbGqxZZcUQSR0BDNWfoRh7pF8Cm6F2ddTceosghaanQWRwOuUhhTvCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T21:16:31.855262Z"},"content_sha256":"8b4c2ad57b39b08c19daf4dbc82ac293b1041cf9d8299651a94f3c33f3906e11","schema_version":"1.0","event_id":"sha256:8b4c2ad57b39b08c19daf4dbc82ac293b1041cf9d8299651a94f3c33f3906e11"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2Q74PIDDDANJLZMSGD57KUWDLC/bundle.json","state_url":"https://pith.science/pith/2Q74PIDDDANJLZMSGD57KUWDLC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2Q74PIDDDANJLZMSGD57KUWDLC/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":"2026-08-10T21:16:31Z","links":{"resolver":"https://pith.science/pith/2Q74PIDDDANJLZMSGD57KUWDLC","bundle":"https://pith.science/pith/2Q74PIDDDANJLZMSGD57KUWDLC/bundle.json","state":"https://pith.science/pith/2Q74PIDDDANJLZMSGD57KUWDLC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2Q74PIDDDANJLZMSGD57KUWDLC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2Q74PIDDDANJLZMSGD57KUWDLC","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":"68fa6f13726f70e26c1786eb700c499e3cd1f7ad62907f69f9cc400dc2f507c7","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-17T19:39:15Z","title_canon_sha256":"a47dd729dd65b005040c14be851009ba84f5b456e36cc12d2175843957eeb0c5"},"schema_version":"1.0","source":{"id":"2405.11064","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11064","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11064v1","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11064","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_12","alias_value":"2Q74PIDDDANJ","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_16","alias_value":"2Q74PIDDDANJLZMS","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_8","alias_value":"2Q74PIDD","created_at":"2026-07-05T08:20:32Z"}],"graph_snapshots":[{"event_id":"sha256:8b4c2ad57b39b08c19daf4dbc82ac293b1041cf9d8299651a94f3c33f3906e11","target":"graph","created_at":"2026-07-05T08:20:32Z","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/2405.11064/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nuclear Magnetic Resonance (NMR) spectroscopy is a widely-used technique in the fields of bio-medicine, chemistry, and biology for the analysis of chemicals and proteins. The signals from NMR spectroscopy often have low signal-to-noise ratio (SNR) due to acquisition noise, which poses significant challenges for subsequent analysis. Recent work has explored the potential of deep learning (DL) for NMR denoising, showing significant performance gains over traditional methods such as total variation (TV) denoising. This paper shows that the performance of DL denoising for NMR can be further improv","authors_text":"Alison Lim, Emilia Santana, Jialiang Zhang, Jiaming Liu, Marcus Foston, Patrick Judge, Shirin Shoushtari, Ulugbek S. Kamilov, Zihao Zou","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-17T19:39:15Z","title":"TVCondNet: A Conditional Denoising Neural Network for NMR Spectroscopy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11064","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:f66c2ac90d0dc6d444fdee8118372962b9da3b749ccfb7371f617025c14b71f5","target":"record","created_at":"2026-07-05T08:20:32Z","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":"68fa6f13726f70e26c1786eb700c499e3cd1f7ad62907f69f9cc400dc2f507c7","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-17T19:39:15Z","title_canon_sha256":"a47dd729dd65b005040c14be851009ba84f5b456e36cc12d2175843957eeb0c5"},"schema_version":"1.0","source":{"id":"2405.11064","kind":"arxiv","version":1}},"canonical_sha256":"d43fc7a063181a95e59230fbf552c358a26773dc06d4b9e6cf3c2f962984c2d8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d43fc7a063181a95e59230fbf552c358a26773dc06d4b9e6cf3c2f962984c2d8","first_computed_at":"2026-07-05T08:20:32.601576Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:32.601576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3U/L+nD+8R+A8EjFdTmoFcymlgSfVa/7X5qCKbnZmOGQTs8X8W6gd9grKtPM69zV1yqpo2oA+CfH5UK3ULrZDA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:32.602013Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11064","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f66c2ac90d0dc6d444fdee8118372962b9da3b749ccfb7371f617025c14b71f5","sha256:8b4c2ad57b39b08c19daf4dbc82ac293b1041cf9d8299651a94f3c33f3906e11"],"state_sha256":"8efe931f8124f8d254aafb51897d016348166937ae58fbc0cec6fae9030ddfb1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gkk3e5eXdO2sZ2isGTWMKTDZoP04j4eeY334FLWHHKg3f/FAsHQOwd1KjCziV+xWspKfjDEls2ihIYDmBAzdAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T21:16:31.863043Z","bundle_sha256":"553b13ddc0adc6fd6dd62e96ccb0cee124c7cdced4670a6b154da0adb2a672a9"}}