{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:436LTUQNUDZITX2224SKWBPDJK","short_pith_number":"pith:436LTUQN","schema_version":"1.0","canonical_sha256":"e6fcb9d20da0f289df5ad724ab05e34ab2fd395a04110cbd828208e49749cd01","source":{"kind":"arxiv","id":"1905.08276","version":2},"attestation_state":"computed","paper":{"title":"Stochastic gravitational wave background mapmaking using regularised deconvolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"gr-qc","authors_text":"Jishnu Suresh, Sambit Panda, Sanjit Mitra, Swetha Bhagwat","submitted_at":"2019-05-20T18:05:58Z","abstract_excerpt":"Obtaining a faithful source intensity distribution map of the sky from noisy data demands incorporating known information of the expected signal, especially when the signal is weak compared to the noise. We introduce a widely used procedure to incorporate these priors through a Bayesian regularisation scheme in the context of map-making of the anisotropic stochastic GW background (SGWB). Specifically, we implement the quadratic form of regularizing function with varying strength of regularization and study its effect on image restoration for different types of the injected source intensity dis"},"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":"1905.08276","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"gr-qc","submitted_at":"2019-05-20T18:05:58Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"1ab954291764d7532405f696aa63020439cad25ab5060d79e1e7a15d4adc22fa","abstract_canon_sha256":"f2ff869a463801a398f9bbf07644ac826605590a6dd1b0263ce4e5acedca1eaa"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:01:52.843078Z","signature_b64":"RN0RqTCP1S+hvgJYrYn1LavtR8qcfzBFZgqxF0dkykMfYVcouI9/b2mnjmTC4hJY552BowSHJwrA6tsTeGdeBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6fcb9d20da0f289df5ad724ab05e34ab2fd395a04110cbd828208e49749cd01","last_reissued_at":"2026-07-05T00:01:52.842622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:01:52.842622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Stochastic gravitational wave background mapmaking using regularised deconvolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"gr-qc","authors_text":"Jishnu Suresh, Sambit Panda, Sanjit Mitra, Swetha Bhagwat","submitted_at":"2019-05-20T18:05:58Z","abstract_excerpt":"Obtaining a faithful source intensity distribution map of the sky from noisy data demands incorporating known information of the expected signal, especially when the signal is weak compared to the noise. We introduce a widely used procedure to incorporate these priors through a Bayesian regularisation scheme in the context of map-making of the anisotropic stochastic GW background (SGWB). Specifically, we implement the quadratic form of regularizing function with varying strength of regularization and study its effect on image restoration for different types of the injected source intensity dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.08276","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/1905.08276/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":"1905.08276","created_at":"2026-07-05T00:01:52.842679+00:00"},{"alias_kind":"arxiv_version","alias_value":"1905.08276v2","created_at":"2026-07-05T00:01:52.842679+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.08276","created_at":"2026-07-05T00:01:52.842679+00:00"},{"alias_kind":"pith_short_12","alias_value":"436LTUQNUDZI","created_at":"2026-07-05T00:01:52.842679+00:00"},{"alias_kind":"pith_short_16","alias_value":"436LTUQNUDZITX22","created_at":"2026-07-05T00:01:52.842679+00:00"},{"alias_kind":"pith_short_8","alias_value":"436LTUQN","created_at":"2026-07-05T00:01:52.842679+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/436LTUQNUDZITX2224SKWBPDJK","json":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK.json","graph_json":"https://pith.science/api/pith-number/436LTUQNUDZITX2224SKWBPDJK/graph.json","events_json":"https://pith.science/api/pith-number/436LTUQNUDZITX2224SKWBPDJK/events.json","paper":"https://pith.science/paper/436LTUQN"},"agent_actions":{"view_html":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK","download_json":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK.json","view_paper":"https://pith.science/paper/436LTUQN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1905.08276&json=true","fetch_graph":"https://pith.science/api/pith-number/436LTUQNUDZITX2224SKWBPDJK/graph.json","fetch_events":"https://pith.science/api/pith-number/436LTUQNUDZITX2224SKWBPDJK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK/action/storage_attestation","attest_author":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK/action/author_attestation","sign_citation":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK/action/citation_signature","submit_replication":"https://pith.science/pith/436LTUQNUDZITX2224SKWBPDJK/action/replication_record"}},"created_at":"2026-07-05T00:01:52.842679+00:00","updated_at":"2026-07-05T00:01:52.842679+00:00"}