{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:OR7CMANBUXEN6KOBFVO6LIIJA3","short_pith_number":"pith:OR7CMANB","schema_version":"1.0","canonical_sha256":"747e2601a1a5c8df29c12d5de5a10906eee96a089b872fbfc1ecb288ef7a3e25","source":{"kind":"arxiv","id":"2108.00208","version":1},"attestation_state":"computed","paper":{"title":"An efficient hit finding algorithm for Baikal-GVD muon reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"astro-ph.IM","authors_text":"A. A. Doroshenko, A. D. Avrorin, A. E. Sirenko, A. G. Solovjev, A. N. Dyachok, A. P. Koshechkin, A. P. Stromakov, A. R. Gafarov, A. V. Avrorin, A. V. Korobchenko, A. V. Skurikhin, B. A. Shaybonov, B. A. Tarashansky, D. N. Zaborov (for the Baikal-GVD Collaboration), D. P. Petukhov, D. V. Naumov, E. Eckerov\\'a, E. N. Pliskovsky, E. O. Sushenok, E. V. Khramov, E. V. Ryabov, F. \\v{S}imkovic, G. B. Safronov, G. V. Domogatsky, I. A. Belolaptikov, I. V. Borina, I. \\v{S}tekl, K. A. Kopa\\'nski, K. G. Kebkal, K. V. Golubkov, K. V. Konischev, L. Fajt, M. B. Milenin, M. D. Shelepov, M. I. Rozanov, M. K. Kryukov, M. M. Kolbin, M. N. Sorokovikov, M. S. Katulin, M. V. Kruglov, N. M. Budnev, N. S. Gorshkov, O. G. Kebkal, O. V. Suvorova, Pa. Malecki, R. Bannasch, R. Dvornick\\'y, R. R. Mirgazov, S. A. Yakovlev, S. V. Fialkovski, T. I. Gress, T. V. Elzhov, V. A. Allakhverdyan, V. A. Kozhin, V. A. Tabolenko, V. B. Brudanin, V. D. Rushay, V. F. Kulepov, V. M. Aynutdinov, V. Nazari, V. Y. Dik, W. Noga, Y. M. Malyshkin, Y. V. Yablokova, Z. Barda\\v{c}ov\\'a, Zh.-A. M. Dzhilkibaev","submitted_at":"2021-07-31T10:33:23Z","abstract_excerpt":"The Baikal-GVD is a large scale neutrino telescope being constructed in Lake Baikal. The majority of signal detected by the telescope are noise hits, caused primarily by the luminescence of the Baikal water. Separating noise hits from the hits produced by Cherenkov light emitted from the muon track is a challenging part of the muon event reconstruction. We present an algorithm that utilizes a known directional hit causality criterion to contruct a graph of hits and then use a clique-based technique to select the subset of signal hits.The algorithm was tested on realistic detector Monte-Carlo s"},"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":"2108.00208","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.IM","submitted_at":"2021-07-31T10:33:23Z","cross_cats_sorted":["physics.data-an"],"title_canon_sha256":"6991d11c526fd29b68b7c072b6853594af4d9845904d0ca2856b6899902d627f","abstract_canon_sha256":"79dc7be708137e0a830fa0680ff18afc3836c76a4b493971f999d6ef0b767675"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:02:20.212431Z","signature_b64":"VfMpVdOtvqaRW4jJbTjLYFbRhywZs57jHyheR4oOPXeRRDCVYU5lCiAprq9x8bk2jMbB1kQGRT460FXak6hfDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"747e2601a1a5c8df29c12d5de5a10906eee96a089b872fbfc1ecb288ef7a3e25","last_reissued_at":"2026-07-05T03:02:20.211926Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:02:20.211926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An efficient hit finding algorithm for Baikal-GVD muon reconstruction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.data-an"],"primary_cat":"astro-ph.IM","authors_text":"A. A. Doroshenko, A. D. Avrorin, A. E. Sirenko, A. G. Solovjev, A. N. Dyachok, A. P. Koshechkin, A. P. Stromakov, A. R. Gafarov, A. V. Avrorin, A. V. Korobchenko, A. V. Skurikhin, B. A. Shaybonov, B. A. Tarashansky, D. N. Zaborov (for the Baikal-GVD Collaboration), D. P. Petukhov, D. V. Naumov, E. Eckerov\\'a, E. N. Pliskovsky, E. O. Sushenok, E. V. Khramov, E. V. Ryabov, F. \\v{S}imkovic, G. B. Safronov, G. V. Domogatsky, I. A. Belolaptikov, I. V. Borina, I. \\v{S}tekl, K. A. Kopa\\'nski, K. G. Kebkal, K. V. Golubkov, K. V. Konischev, L. Fajt, M. B. Milenin, M. D. Shelepov, M. I. Rozanov, M. K. Kryukov, M. M. Kolbin, M. N. Sorokovikov, M. S. Katulin, M. V. Kruglov, N. M. Budnev, N. S. Gorshkov, O. G. Kebkal, O. V. Suvorova, Pa. Malecki, R. Bannasch, R. Dvornick\\'y, R. R. Mirgazov, S. A. Yakovlev, S. V. Fialkovski, T. I. Gress, T. V. Elzhov, V. A. Allakhverdyan, V. A. Kozhin, V. A. Tabolenko, V. B. Brudanin, V. D. Rushay, V. F. Kulepov, V. M. Aynutdinov, V. Nazari, V. Y. Dik, W. Noga, Y. M. Malyshkin, Y. V. Yablokova, Z. Barda\\v{c}ov\\'a, Zh.-A. M. Dzhilkibaev","submitted_at":"2021-07-31T10:33:23Z","abstract_excerpt":"The Baikal-GVD is a large scale neutrino telescope being constructed in Lake Baikal. The majority of signal detected by the telescope are noise hits, caused primarily by the luminescence of the Baikal water. Separating noise hits from the hits produced by Cherenkov light emitted from the muon track is a challenging part of the muon event reconstruction. We present an algorithm that utilizes a known directional hit causality criterion to contruct a graph of hits and then use a clique-based technique to select the subset of signal hits.The algorithm was tested on realistic detector Monte-Carlo s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.00208","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/2108.00208/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":"2108.00208","created_at":"2026-07-05T03:02:20.211985+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.00208v1","created_at":"2026-07-05T03:02:20.211985+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.00208","created_at":"2026-07-05T03:02:20.211985+00:00"},{"alias_kind":"pith_short_12","alias_value":"OR7CMANBUXEN","created_at":"2026-07-05T03:02:20.211985+00:00"},{"alias_kind":"pith_short_16","alias_value":"OR7CMANBUXEN6KOB","created_at":"2026-07-05T03:02:20.211985+00:00"},{"alias_kind":"pith_short_8","alias_value":"OR7CMANB","created_at":"2026-07-05T03:02:20.211985+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.11176","citing_title":"From raw data to neutrino candidates: a neural-network pipeline for Baikal-GVD","ref_index":13,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3","json":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3.json","graph_json":"https://pith.science/api/pith-number/OR7CMANBUXEN6KOBFVO6LIIJA3/graph.json","events_json":"https://pith.science/api/pith-number/OR7CMANBUXEN6KOBFVO6LIIJA3/events.json","paper":"https://pith.science/paper/OR7CMANB"},"agent_actions":{"view_html":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3","download_json":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3.json","view_paper":"https://pith.science/paper/OR7CMANB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.00208&json=true","fetch_graph":"https://pith.science/api/pith-number/OR7CMANBUXEN6KOBFVO6LIIJA3/graph.json","fetch_events":"https://pith.science/api/pith-number/OR7CMANBUXEN6KOBFVO6LIIJA3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3/action/storage_attestation","attest_author":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3/action/author_attestation","sign_citation":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3/action/citation_signature","submit_replication":"https://pith.science/pith/OR7CMANBUXEN6KOBFVO6LIIJA3/action/replication_record"}},"created_at":"2026-07-05T03:02:20.211985+00:00","updated_at":"2026-07-05T03:02:20.211985+00:00"}