{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CZXBITYA4RJ3JYP5PBWJNDXEK3","short_pith_number":"pith:CZXBITYA","canonical_record":{"source":{"id":"2002.11668","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2020-02-26T17:56:04Z","cross_cats_sorted":[],"title_canon_sha256":"6bde324f4194f8452c1148e58de150da66e2d2a548a13428aec1b5b224c0f555","abstract_canon_sha256":"cd7f6093baaefa6dfabbd629e3055712d8998a618e7977e1d267a5ef8ca8f913"},"schema_version":"1.0"},"canonical_sha256":"166e144f00e453b4e1fd786c968ee456d0628983a33916fb49462420acd1eda8","source":{"kind":"arxiv","id":"2002.11668","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.11668","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"arxiv_version","alias_value":"2002.11668v2","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.11668","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"pith_short_12","alias_value":"CZXBITYA4RJ3","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"pith_short_16","alias_value":"CZXBITYA4RJ3JYP5","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"pith_short_8","alias_value":"CZXBITYA","created_at":"2026-07-05T01:18:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CZXBITYA4RJ3JYP5PBWJNDXEK3","target":"record","payload":{"canonical_record":{"source":{"id":"2002.11668","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2020-02-26T17:56:04Z","cross_cats_sorted":[],"title_canon_sha256":"6bde324f4194f8452c1148e58de150da66e2d2a548a13428aec1b5b224c0f555","abstract_canon_sha256":"cd7f6093baaefa6dfabbd629e3055712d8998a618e7977e1d267a5ef8ca8f913"},"schema_version":"1.0"},"canonical_sha256":"166e144f00e453b4e1fd786c968ee456d0628983a33916fb49462420acd1eda8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:18:53.530685Z","signature_b64":"pwluaM91ng8twPS8MNNVJzGtbfSEVYb0TrQcydxMl1Wv0SZGFRxdTQ5gHAdjNKf9kpzDCnpDAOPNKkGDRdFpAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"166e144f00e453b4e1fd786c968ee456d0628983a33916fb49462420acd1eda8","last_reissued_at":"2026-07-05T01:18:53.530179Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:18:53.530179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.11668","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:18:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4RlMvN5tpysuJi4z0FBbHUkWWrN7VlzJcatmY3cKyQQUg9AJZfR90GkjrmqE/OhODrXA+td0tu5CZpbUKEyzAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T19:15:43.120046Z"},"content_sha256":"faafbe1697982e195c1e802051b35ba245048b9156b22bf984bcc1252e0fbb13","schema_version":"1.0","event_id":"sha256:faafbe1697982e195c1e802051b35ba245048b9156b22bf984bcc1252e0fbb13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CZXBITYA4RJ3JYP5PBWJNDXEK3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Application of dictionary learning to denoise LIGO's blip noise transients","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"gr-qc","authors_text":"Alejandro Torres-Forn\\'e, Antonio Marquina, Elena Cuoco, Jos\\'e A. Font","submitted_at":"2020-02-26T17:56:04Z","abstract_excerpt":"Data streams of gravitational-wave detectors are polluted by transient noise features, or \"glitches\", of instrumental and environmental origin. In this work, we investigate the use of total-variation methods and learned dictionaries to mitigate the effect of those transients in the data. We focus on a specific type of transient, \"blip\" glitches, as this is the most common type of glitch present in the LIGO detectors and their waveforms are easy to identify. We randomly select 80 blip glitches scattered in the data from advanced LIGO's O1 run, as provided by the citizen-science project Gravity "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.11668","kind":"arxiv","version":2},"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/2002.11668/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":"2026-07-05T01:18:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zXv7o6VifJ6ncveyu+Y2Uj1kdiSVK0tkk90Zbk7nu1NKWebJUzKxwZF+MA5vthFQyIwu2XmXj0A2qaN7rR9oCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T19:15:43.120558Z"},"content_sha256":"eacb8acf19af14e609692304a3ec3cdbdc9c1d5c4c6a48f9ceed05e2312a33e6","schema_version":"1.0","event_id":"sha256:eacb8acf19af14e609692304a3ec3cdbdc9c1d5c4c6a48f9ceed05e2312a33e6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3/bundle.json","state_url":"https://pith.science/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3/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":"2026-08-16T19:15:43Z","links":{"resolver":"https://pith.science/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3","bundle":"https://pith.science/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3/bundle.json","state":"https://pith.science/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CZXBITYA4RJ3JYP5PBWJNDXEK3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CZXBITYA4RJ3JYP5PBWJNDXEK3","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":"cd7f6093baaefa6dfabbd629e3055712d8998a618e7977e1d267a5ef8ca8f913","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2020-02-26T17:56:04Z","title_canon_sha256":"6bde324f4194f8452c1148e58de150da66e2d2a548a13428aec1b5b224c0f555"},"schema_version":"1.0","source":{"id":"2002.11668","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.11668","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"arxiv_version","alias_value":"2002.11668v2","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.11668","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"pith_short_12","alias_value":"CZXBITYA4RJ3","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"pith_short_16","alias_value":"CZXBITYA4RJ3JYP5","created_at":"2026-07-05T01:18:53Z"},{"alias_kind":"pith_short_8","alias_value":"CZXBITYA","created_at":"2026-07-05T01:18:53Z"}],"graph_snapshots":[{"event_id":"sha256:eacb8acf19af14e609692304a3ec3cdbdc9c1d5c4c6a48f9ceed05e2312a33e6","target":"graph","created_at":"2026-07-05T01:18:53Z","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/2002.11668/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data streams of gravitational-wave detectors are polluted by transient noise features, or \"glitches\", of instrumental and environmental origin. In this work, we investigate the use of total-variation methods and learned dictionaries to mitigate the effect of those transients in the data. We focus on a specific type of transient, \"blip\" glitches, as this is the most common type of glitch present in the LIGO detectors and their waveforms are easy to identify. We randomly select 80 blip glitches scattered in the data from advanced LIGO's O1 run, as provided by the citizen-science project Gravity ","authors_text":"Alejandro Torres-Forn\\'e, Antonio Marquina, Elena Cuoco, Jos\\'e A. Font","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2020-02-26T17:56:04Z","title":"Application of dictionary learning to denoise LIGO's blip noise transients"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.11668","kind":"arxiv","version":2},"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:faafbe1697982e195c1e802051b35ba245048b9156b22bf984bcc1252e0fbb13","target":"record","created_at":"2026-07-05T01:18:53Z","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":"cd7f6093baaefa6dfabbd629e3055712d8998a618e7977e1d267a5ef8ca8f913","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2020-02-26T17:56:04Z","title_canon_sha256":"6bde324f4194f8452c1148e58de150da66e2d2a548a13428aec1b5b224c0f555"},"schema_version":"1.0","source":{"id":"2002.11668","kind":"arxiv","version":2}},"canonical_sha256":"166e144f00e453b4e1fd786c968ee456d0628983a33916fb49462420acd1eda8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"166e144f00e453b4e1fd786c968ee456d0628983a33916fb49462420acd1eda8","first_computed_at":"2026-07-05T01:18:53.530179Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:18:53.530179Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pwluaM91ng8twPS8MNNVJzGtbfSEVYb0TrQcydxMl1Wv0SZGFRxdTQ5gHAdjNKf9kpzDCnpDAOPNKkGDRdFpAA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:18:53.530685Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.11668","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:faafbe1697982e195c1e802051b35ba245048b9156b22bf984bcc1252e0fbb13","sha256:eacb8acf19af14e609692304a3ec3cdbdc9c1d5c4c6a48f9ceed05e2312a33e6"],"state_sha256":"7e42b785c8da98bb4e1a0ae04503915d81d34e5836a405dddc7a312fffe3d644"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ReKsZCdOfopk/FW7KQSf9ycvndMMHJoEzIJrF4zSxakmyHvMwfQ+MHrgqzRKy+KoX/0yL9MDPoTETq0ts3D6CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T19:15:43.124246Z","bundle_sha256":"8474df94a2378c11c2f536eaffe1439533dab9b4d20f6bdb5dfd3debf30b5205"}}