{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:RU4MUGY3ASXUUCPXNWEATLFJAF","short_pith_number":"pith:RU4MUGY3","canonical_record":{"source":{"id":"1112.3807","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2011-12-16T13:23:24Z","cross_cats_sorted":[],"title_canon_sha256":"23b57a0b5ced8508948ef1224dec27ff83005acc14228f12fcee058f5ecca24d","abstract_canon_sha256":"ea28b65f9c220611d712ef5be273b5b2933b17ccdd25011ba080b81aba927feb"},"schema_version":"1.0"},"canonical_sha256":"8d38ca1b1b04af4a09f76d8809aca901567091e53659bfeeac9e406410eb8d77","source":{"kind":"arxiv","id":"1112.3807","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.3807","created_at":"2026-05-18T01:59:06Z"},{"alias_kind":"arxiv_version","alias_value":"1112.3807v1","created_at":"2026-05-18T01:59:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.3807","created_at":"2026-05-18T01:59:06Z"},{"alias_kind":"pith_short_12","alias_value":"RU4MUGY3ASXU","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"RU4MUGY3ASXUUCPX","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"RU4MUGY3","created_at":"2026-05-18T12:26:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:RU4MUGY3ASXUUCPXNWEATLFJAF","target":"record","payload":{"canonical_record":{"source":{"id":"1112.3807","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2011-12-16T13:23:24Z","cross_cats_sorted":[],"title_canon_sha256":"23b57a0b5ced8508948ef1224dec27ff83005acc14228f12fcee058f5ecca24d","abstract_canon_sha256":"ea28b65f9c220611d712ef5be273b5b2933b17ccdd25011ba080b81aba927feb"},"schema_version":"1.0"},"canonical_sha256":"8d38ca1b1b04af4a09f76d8809aca901567091e53659bfeeac9e406410eb8d77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:59:06.750426Z","signature_b64":"8uz7fXWHeog7CGc/MdTJUsthMtahDF6f/Az/rXeWtVqzv5UMHSdVf8KbOfJEOUeIaKU3ZHYif4RBGb/+Wbe6CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8d38ca1b1b04af4a09f76d8809aca901567091e53659bfeeac9e406410eb8d77","last_reissued_at":"2026-05-18T01:59:06.749763Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:59:06.749763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1112.3807","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":"2026-05-18T01:59:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IzRiGSwN2UhfuXvFxHlBWIheX3nkIGEkhYmRK3DWutmMLS9chzeXTRvbSSMONvXukSV3cfiK7qpayjsETyzxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:56:33.856295Z"},"content_sha256":"aa380843b8a587169af747450012f1fc064fbdf26def5eb06584eb4ac86c67ab","schema_version":"1.0","event_id":"sha256:aa380843b8a587169af747450012f1fc064fbdf26def5eb06584eb4ac86c67ab"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:RU4MUGY3ASXUUCPXNWEATLFJAF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"2D-1D Wavelet Reconstruction As A Tool For Source Finding In Spectroscopic Imaging Surveys","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.IM","authors_text":"Benjamin Winkel, Lars Fl\\\"oer","submitted_at":"2011-12-16T13:23:24Z","abstract_excerpt":"Today, image denoising by thresholding of wavelet coefficients is a commonly used tool for 2D image enhancement. Since the data product of spectroscopic imaging surveys has two spatial and one spectral dimension, the techniques for denoising have to be adapted to this change in dimensionality. In this paper we will review the basic method of denoising data by thresholding wavelet coefficients and implement a 2D-1D wavelet decomposition to obtain an efficient way of denoising spectroscopic data cubes. We conduct different simulations to evaluate the usefulness of the algorithm as part of a sour"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.3807","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":""},"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":"2026-05-18T01:59:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ptybu6Jb14W2n/bvDjMXJ3ss7ZXfbhLMkpJ+Y9QkalbdtET2gDH8J5cQwt/47uGkHx98sReWGCGdtQ/YtqfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T06:56:33.856670Z"},"content_sha256":"2061ce765152c62643c8350521bf8b690287d1e03f682c6505c8fd8f52154530","schema_version":"1.0","event_id":"sha256:2061ce765152c62643c8350521bf8b690287d1e03f682c6505c8fd8f52154530"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RU4MUGY3ASXUUCPXNWEATLFJAF/bundle.json","state_url":"https://pith.science/pith/RU4MUGY3ASXUUCPXNWEATLFJAF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RU4MUGY3ASXUUCPXNWEATLFJAF/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":"2026-05-28T06:56:33Z","links":{"resolver":"https://pith.science/pith/RU4MUGY3ASXUUCPXNWEATLFJAF","bundle":"https://pith.science/pith/RU4MUGY3ASXUUCPXNWEATLFJAF/bundle.json","state":"https://pith.science/pith/RU4MUGY3ASXUUCPXNWEATLFJAF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RU4MUGY3ASXUUCPXNWEATLFJAF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:RU4MUGY3ASXUUCPXNWEATLFJAF","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":"ea28b65f9c220611d712ef5be273b5b2933b17ccdd25011ba080b81aba927feb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2011-12-16T13:23:24Z","title_canon_sha256":"23b57a0b5ced8508948ef1224dec27ff83005acc14228f12fcee058f5ecca24d"},"schema_version":"1.0","source":{"id":"1112.3807","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1112.3807","created_at":"2026-05-18T01:59:06Z"},{"alias_kind":"arxiv_version","alias_value":"1112.3807v1","created_at":"2026-05-18T01:59:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1112.3807","created_at":"2026-05-18T01:59:06Z"},{"alias_kind":"pith_short_12","alias_value":"RU4MUGY3ASXU","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_16","alias_value":"RU4MUGY3ASXUUCPX","created_at":"2026-05-18T12:26:41Z"},{"alias_kind":"pith_short_8","alias_value":"RU4MUGY3","created_at":"2026-05-18T12:26:41Z"}],"graph_snapshots":[{"event_id":"sha256:2061ce765152c62643c8350521bf8b690287d1e03f682c6505c8fd8f52154530","target":"graph","created_at":"2026-05-18T01:59:06Z","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":"Today, image denoising by thresholding of wavelet coefficients is a commonly used tool for 2D image enhancement. Since the data product of spectroscopic imaging surveys has two spatial and one spectral dimension, the techniques for denoising have to be adapted to this change in dimensionality. In this paper we will review the basic method of denoising data by thresholding wavelet coefficients and implement a 2D-1D wavelet decomposition to obtain an efficient way of denoising spectroscopic data cubes. We conduct different simulations to evaluate the usefulness of the algorithm as part of a sour","authors_text":"Benjamin Winkel, Lars Fl\\\"oer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2011-12-16T13:23:24Z","title":"2D-1D Wavelet Reconstruction As A Tool For Source Finding In Spectroscopic Imaging Surveys"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1112.3807","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:aa380843b8a587169af747450012f1fc064fbdf26def5eb06584eb4ac86c67ab","target":"record","created_at":"2026-05-18T01:59:06Z","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":"ea28b65f9c220611d712ef5be273b5b2933b17ccdd25011ba080b81aba927feb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2011-12-16T13:23:24Z","title_canon_sha256":"23b57a0b5ced8508948ef1224dec27ff83005acc14228f12fcee058f5ecca24d"},"schema_version":"1.0","source":{"id":"1112.3807","kind":"arxiv","version":1}},"canonical_sha256":"8d38ca1b1b04af4a09f76d8809aca901567091e53659bfeeac9e406410eb8d77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8d38ca1b1b04af4a09f76d8809aca901567091e53659bfeeac9e406410eb8d77","first_computed_at":"2026-05-18T01:59:06.749763Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:59:06.749763Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8uz7fXWHeog7CGc/MdTJUsthMtahDF6f/Az/rXeWtVqzv5UMHSdVf8KbOfJEOUeIaKU3ZHYif4RBGb/+Wbe6CQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:59:06.750426Z","signed_message":"canonical_sha256_bytes"},"source_id":"1112.3807","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aa380843b8a587169af747450012f1fc064fbdf26def5eb06584eb4ac86c67ab","sha256:2061ce765152c62643c8350521bf8b690287d1e03f682c6505c8fd8f52154530"],"state_sha256":"e1c54bce5040fd8949de2fb34495334545596ea55bcb4f3ee7267a908be9ead6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ao/zaceEipGDjMRYwWAhnTvcWDLBY+G19MOD7o94FAzSY7xS91aRAuJEpT1nYhc4HmHfvo+XIVIu1M1QSFdfDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T06:56:33.858601Z","bundle_sha256":"9d9e3889bc964742a7437081007ffccdd7246ef8a89cf284fcd8dcd0f28ca2b9"}}