{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2008:WAHIFHPDV3BV2BPTVITYMXAAMB","short_pith_number":"pith:WAHIFHPD","canonical_record":{"source":{"id":"0805.3928","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph","submitted_at":"2008-05-26T18:32:24Z","cross_cats_sorted":[],"title_canon_sha256":"49745f0b899e25fcd0e937c0aedca07279dfc04762e26a54af0a660b9347f19c","abstract_canon_sha256":"6caa6bfb2c88e1d323b1e809e94b05aa323d54a52614753300e99dd026b06ae0"},"schema_version":"1.0"},"canonical_sha256":"b00e829de3aec35d05f3aa27865c006046b7dabaced507cbb6e846dcb241070b","source":{"kind":"arxiv","id":"0805.3928","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0805.3928","created_at":"2026-05-18T02:35:22Z"},{"alias_kind":"arxiv_version","alias_value":"0805.3928v2","created_at":"2026-05-18T02:35:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0805.3928","created_at":"2026-05-18T02:35:22Z"},{"alias_kind":"pith_short_12","alias_value":"WAHIFHPDV3BV","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_16","alias_value":"WAHIFHPDV3BV2BPT","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_8","alias_value":"WAHIFHPD","created_at":"2026-05-18T12:25:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2008:WAHIFHPDV3BV2BPTVITYMXAAMB","target":"record","payload":{"canonical_record":{"source":{"id":"0805.3928","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph","submitted_at":"2008-05-26T18:32:24Z","cross_cats_sorted":[],"title_canon_sha256":"49745f0b899e25fcd0e937c0aedca07279dfc04762e26a54af0a660b9347f19c","abstract_canon_sha256":"6caa6bfb2c88e1d323b1e809e94b05aa323d54a52614753300e99dd026b06ae0"},"schema_version":"1.0"},"canonical_sha256":"b00e829de3aec35d05f3aa27865c006046b7dabaced507cbb6e846dcb241070b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:35:22.227749Z","signature_b64":"lu83vhCZFBslOoMqB98pUHSQYYKGgvo/z5Y5ufWHu9G1+85u3ITX1+0BN8jcWRtX7RiaDVUtLraRgEwo5JLZCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b00e829de3aec35d05f3aa27865c006046b7dabaced507cbb6e846dcb241070b","last_reissued_at":"2026-05-18T02:35:22.227304Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:35:22.227304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"0805.3928","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":"2026-05-18T02:35:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qhzJo6404bvu9VTqed+HyIxnCIqajnCzKbT31ubv1HXVrPDkmodo20JT8Ok0ksQrhJ5BB+IjMUd90k+VuUDLAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T06:28:48.308638Z"},"content_sha256":"9c7409eba7e5eab5dfc133dc7e9248374b2a3b0006314e4660aa19c0989dc9b1","schema_version":"1.0","event_id":"sha256:9c7409eba7e5eab5dfc133dc7e9248374b2a3b0006314e4660aa19c0989dc9b1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2008:WAHIFHPDV3BV2BPTVITYMXAAMB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CRUSH: fast and scalable data reduction for imaging arrays","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph","authors_text":"A. Kovacs","submitted_at":"2008-05-26T18:32:24Z","abstract_excerpt":"CRUSH is an approach to data analysis under noise interference, developed specifically for submillimeter imaging arrays. The method uses an iterated sequence of statistical estimators to separate source and noise signals. Its filtering properties are well-characterized and easily adjusted to preference. Implementations are well-suited for parallel processing and its computing requirements scale linearly with data size -- rendering it an attractive approach for reducing the data volumes from future large arrays."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0805.3928","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":""},"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":"2026-05-18T02:35:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3wb7i9V1Oj1UXelZWIRUyVpdjXP2YhV0mFLk9N4Qb/S7NFGVhzNwSeLEncmKWtZeEvBdk1lf+KdZcKtMurivAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T06:28:48.308985Z"},"content_sha256":"a4f07904617be59b7eb97b52109cb04daaa771ddd43fef179a17a75272dd3347","schema_version":"1.0","event_id":"sha256:a4f07904617be59b7eb97b52109cb04daaa771ddd43fef179a17a75272dd3347"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WAHIFHPDV3BV2BPTVITYMXAAMB/bundle.json","state_url":"https://pith.science/pith/WAHIFHPDV3BV2BPTVITYMXAAMB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WAHIFHPDV3BV2BPTVITYMXAAMB/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":"2026-06-24T06:28:48Z","links":{"resolver":"https://pith.science/pith/WAHIFHPDV3BV2BPTVITYMXAAMB","bundle":"https://pith.science/pith/WAHIFHPDV3BV2BPTVITYMXAAMB/bundle.json","state":"https://pith.science/pith/WAHIFHPDV3BV2BPTVITYMXAAMB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WAHIFHPDV3BV2BPTVITYMXAAMB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2008:WAHIFHPDV3BV2BPTVITYMXAAMB","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":"6caa6bfb2c88e1d323b1e809e94b05aa323d54a52614753300e99dd026b06ae0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph","submitted_at":"2008-05-26T18:32:24Z","title_canon_sha256":"49745f0b899e25fcd0e937c0aedca07279dfc04762e26a54af0a660b9347f19c"},"schema_version":"1.0","source":{"id":"0805.3928","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0805.3928","created_at":"2026-05-18T02:35:22Z"},{"alias_kind":"arxiv_version","alias_value":"0805.3928v2","created_at":"2026-05-18T02:35:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0805.3928","created_at":"2026-05-18T02:35:22Z"},{"alias_kind":"pith_short_12","alias_value":"WAHIFHPDV3BV","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_16","alias_value":"WAHIFHPDV3BV2BPT","created_at":"2026-05-18T12:25:58Z"},{"alias_kind":"pith_short_8","alias_value":"WAHIFHPD","created_at":"2026-05-18T12:25:58Z"}],"graph_snapshots":[{"event_id":"sha256:a4f07904617be59b7eb97b52109cb04daaa771ddd43fef179a17a75272dd3347","target":"graph","created_at":"2026-05-18T02:35:22Z","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"},"paper":{"abstract_excerpt":"CRUSH is an approach to data analysis under noise interference, developed specifically for submillimeter imaging arrays. The method uses an iterated sequence of statistical estimators to separate source and noise signals. Its filtering properties are well-characterized and easily adjusted to preference. Implementations are well-suited for parallel processing and its computing requirements scale linearly with data size -- rendering it an attractive approach for reducing the data volumes from future large arrays.","authors_text":"A. Kovacs","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph","submitted_at":"2008-05-26T18:32:24Z","title":"CRUSH: fast and scalable data reduction for imaging arrays"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0805.3928","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":"sha256:9c7409eba7e5eab5dfc133dc7e9248374b2a3b0006314e4660aa19c0989dc9b1","target":"record","created_at":"2026-05-18T02:35:22Z","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":"6caa6bfb2c88e1d323b1e809e94b05aa323d54a52614753300e99dd026b06ae0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph","submitted_at":"2008-05-26T18:32:24Z","title_canon_sha256":"49745f0b899e25fcd0e937c0aedca07279dfc04762e26a54af0a660b9347f19c"},"schema_version":"1.0","source":{"id":"0805.3928","kind":"arxiv","version":2}},"canonical_sha256":"b00e829de3aec35d05f3aa27865c006046b7dabaced507cbb6e846dcb241070b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b00e829de3aec35d05f3aa27865c006046b7dabaced507cbb6e846dcb241070b","first_computed_at":"2026-05-18T02:35:22.227304Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:35:22.227304Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lu83vhCZFBslOoMqB98pUHSQYYKGgvo/z5Y5ufWHu9G1+85u3ITX1+0BN8jcWRtX7RiaDVUtLraRgEwo5JLZCg==","signature_status":"signed_v1","signed_at":"2026-05-18T02:35:22.227749Z","signed_message":"canonical_sha256_bytes"},"source_id":"0805.3928","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c7409eba7e5eab5dfc133dc7e9248374b2a3b0006314e4660aa19c0989dc9b1","sha256:a4f07904617be59b7eb97b52109cb04daaa771ddd43fef179a17a75272dd3347"],"state_sha256":"fad4988a598a61318d0b9ec309c8902b2f397ad81987ff0b848967e56fc7994e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rJgG/YvasjpWTvfWJJcQDwpCdXyKHPIH6BubJzd8hBu5/YHH9E4NzEl4PTD9MAHJv6FZswV3VU9/vK+pFW2ZAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T06:28:48.311088Z","bundle_sha256":"dd78d33323b3bed67730763170a9b7091e2cc55e404f05e58c298010285936e1"}}