{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WJOPPUGWVJFIJRL5OBCHBQLRNX","short_pith_number":"pith:WJOPPUGW","canonical_record":{"source":{"id":"2302.01830","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2023-02-03T16:09:23Z","cross_cats_sorted":["astro-ph.CO"],"title_canon_sha256":"051949739c506aab363a84df9f1c2d4e856590572e87a0e1cb784f74ac64590f","abstract_canon_sha256":"bbcff13f33c5bbf28f999a804c658f1103c2418231c83c299f43bd29278ea230"},"schema_version":"1.0"},"canonical_sha256":"b25cf7d0d6aa4a84c57d704470c1716de222132b0996fe222e102d12117b0192","source":{"kind":"arxiv","id":"2302.01830","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.01830","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"arxiv_version","alias_value":"2302.01830v2","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.01830","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"pith_short_12","alias_value":"WJOPPUGWVJFI","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"pith_short_16","alias_value":"WJOPPUGWVJFIJRL5","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"pith_short_8","alias_value":"WJOPPUGW","created_at":"2026-07-05T06:04:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WJOPPUGWVJFIJRL5OBCHBQLRNX","target":"record","payload":{"canonical_record":{"source":{"id":"2302.01830","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2023-02-03T16:09:23Z","cross_cats_sorted":["astro-ph.CO"],"title_canon_sha256":"051949739c506aab363a84df9f1c2d4e856590572e87a0e1cb784f74ac64590f","abstract_canon_sha256":"bbcff13f33c5bbf28f999a804c658f1103c2418231c83c299f43bd29278ea230"},"schema_version":"1.0"},"canonical_sha256":"b25cf7d0d6aa4a84c57d704470c1716de222132b0996fe222e102d12117b0192","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:04:37.046802Z","signature_b64":"SfZjlmbiKUP3K9j38qjAo9m1mTpqZAEGHcYG5uEJLwNQShPPfBfXbquJ9fChG1X8d7cNHKidGOsSXeeiRa5GBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b25cf7d0d6aa4a84c57d704470c1716de222132b0996fe222e102d12117b0192","last_reissued_at":"2026-07-05T06:04:37.046302Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:04:37.046302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2302.01830","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":"2026-07-05T06:04:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+zvWLny0fctnYo++m9tiCl6J/BTVZ6wiWPLV0tzIUdpBche3oX2qPVkwH1mvuGR8023FJMEXobca99Zn/pejCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:24:15.444343Z"},"content_sha256":"a3b5dcaaf1bf9eb99634b9defc953e3a43b31efa65798ffc0345e2b7ed5b88ac","schema_version":"1.0","event_id":"sha256:a3b5dcaaf1bf9eb99634b9defc953e3a43b31efa65798ffc0345e2b7ed5b88ac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WJOPPUGWVJFIJRL5OBCHBQLRNX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Search for low mass dark matter in DarkSide-50: the bayesian network approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"hep-ex","authors_text":"A. Caminata, A. Chepurnov, A. De Candia, A. Devoto, A. Grobov, A.K. Alton, A. Kubankin, A.L. Renshaw, A. Messina, A.M. Goretti, An. Ianni, A. Oleinik, A.O. Nozdrina, A. Pocar, A. Razeto, A. Romani, A. Shchagin, A. Sheshukov, A. Sotnikov, A. Tonazzo, A.V. Derbin, A. Vishneva, B. Bottino, B. Hosseini, B.R. Hackett, B. Schlitzer, C. Cical\\`o, C. Dionisi, C. Galbiati, C. Ghiano, C. Giganti, C.L. Kendziora, C. Savarese, C. Yang, D.A. Semenov, D. D'Angelo, D.D. Price, D. D'Urso, D. Franco, D. Korablev, D.M. Poehlmann, D. Sablone, E. Pantic, E. Paoloni, E. Sandford, E.V. Hungerford, E.V. Unzhakov, F. Calaprice, F. Dordei, F. Gabriele, F. Hubaut, F. Ortica, F. Ragusa, G. Batignani, G. Covone, G. De Filippis, G. De Rosa, G. Fiorillo, G. Grilli di Cortona, G.K. Giovanetti, G. Korga, G. Longo, G. Testera, G. Zuzel, H.O. Back, H. Wang, I.F.M. Albuquerque, I. Kochanek, I.N. Machulin, J. Maricic, J. Monroe, J. Rode, K. Biery, K. Herner, K. Keeter, K. Pelczar, L. Pagani, L. Pandola, L.P. Mapelli, M. Ave, M. Cadeddu, M. Cadoni, M. Caravati, M. Cariello, M. Carlini, M.D. Campos, M. D'Incecco, M. Downing, M.D. Skorokhvatov, M. Fairbairn, M. Gromov, M. Guan, M. Gulino, M. Kimura, M. Kuss, M. La Commara, M. Lai, M. Lissia, M. Morrocchi, M.M. Wojcik, M. Pallavicini, M. Razeti, M. Rescigno, M. Wada, N. Canci, N. Cargioli, N. Pelliccia, O. Lychagina, O. Samoylov, O. Smirnov, P. Cavalcante, P. Musico, P. Pralavorio, R.B. Vogelaar, R. Milincic, R. Tartaglia, S. Bussino, S. Cavuoti, S. Chashin, S. Davini, S. De Cecco, S.M. Mari, S. Piacentini, S. Pordes, S. Sanfilippo, S.S. Poudel, S. Stracka, S. Westerdale, T. Alexander, The DarkSide-50 Collaboration: P. Agnes, T. Hessel, V. Bocci, V. Cataudella, V. Ippolito, V.N. Muratova, W.M. Bonivento, W. Sands, X. Li, X. Mougeot, X. Xiao, Y. Suvorov, Y. Wang","submitted_at":"2023-02-03T16:09:23Z","abstract_excerpt":"We present a novel approach for the search of dark matter in the DarkSide-50 experiment, relying on Bayesian Networks. This method incorporates the detector response model into the likelihood function, explicitly maintaining the connection with the quantity of interest. No assumptions about the linearity of the problem or the shape of the probability distribution functions are required, and there is no need to morph signal and background spectra as a function of nuisance parameters. By expressing the problem in terms of Bayesian Networks, we have developed an inference algorithm based on a Mar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.01830","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/2302.01830/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":"2026-07-05T06:04:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g5hRjaZjIGI20Naj7UQO5eTOkF1lwW4knG1ZZ6/9VUu578EqLFO9M4jkozb18cYQ8aFXpAE9FmeqdIY9Jw/DCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T07:24:15.444872Z"},"content_sha256":"eb112da4099cf08ea5a1238fc2ae767222554744abc4c79783db0b60cb46640b","schema_version":"1.0","event_id":"sha256:eb112da4099cf08ea5a1238fc2ae767222554744abc4c79783db0b60cb46640b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX/bundle.json","state_url":"https://pith.science/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX/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":"2026-08-04T07:24:15Z","links":{"resolver":"https://pith.science/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX","bundle":"https://pith.science/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX/bundle.json","state":"https://pith.science/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WJOPPUGWVJFIJRL5OBCHBQLRNX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WJOPPUGWVJFIJRL5OBCHBQLRNX","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":"bbcff13f33c5bbf28f999a804c658f1103c2418231c83c299f43bd29278ea230","cross_cats_sorted":["astro-ph.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2023-02-03T16:09:23Z","title_canon_sha256":"051949739c506aab363a84df9f1c2d4e856590572e87a0e1cb784f74ac64590f"},"schema_version":"1.0","source":{"id":"2302.01830","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2302.01830","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"arxiv_version","alias_value":"2302.01830v2","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2302.01830","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"pith_short_12","alias_value":"WJOPPUGWVJFI","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"pith_short_16","alias_value":"WJOPPUGWVJFIJRL5","created_at":"2026-07-05T06:04:37Z"},{"alias_kind":"pith_short_8","alias_value":"WJOPPUGW","created_at":"2026-07-05T06:04:37Z"}],"graph_snapshots":[{"event_id":"sha256:eb112da4099cf08ea5a1238fc2ae767222554744abc4c79783db0b60cb46640b","target":"graph","created_at":"2026-07-05T06:04:37Z","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/2302.01830/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a novel approach for the search of dark matter in the DarkSide-50 experiment, relying on Bayesian Networks. This method incorporates the detector response model into the likelihood function, explicitly maintaining the connection with the quantity of interest. No assumptions about the linearity of the problem or the shape of the probability distribution functions are required, and there is no need to morph signal and background spectra as a function of nuisance parameters. By expressing the problem in terms of Bayesian Networks, we have developed an inference algorithm based on a Mar","authors_text":"A. Caminata, A. Chepurnov, A. De Candia, A. Devoto, A. Grobov, A.K. Alton, A. Kubankin, A.L. Renshaw, A. Messina, A.M. Goretti, An. Ianni, A. Oleinik, A.O. Nozdrina, A. Pocar, A. Razeto, A. Romani, A. Shchagin, A. Sheshukov, A. Sotnikov, A. Tonazzo, A.V. Derbin, A. Vishneva, B. Bottino, B. Hosseini, B.R. Hackett, B. Schlitzer, C. Cical\\`o, C. Dionisi, C. Galbiati, C. Ghiano, C. Giganti, C.L. Kendziora, C. Savarese, C. Yang, D.A. Semenov, D. D'Angelo, D.D. Price, D. D'Urso, D. Franco, D. Korablev, D.M. Poehlmann, D. Sablone, E. Pantic, E. Paoloni, E. Sandford, E.V. Hungerford, E.V. Unzhakov, F. Calaprice, F. Dordei, F. Gabriele, F. Hubaut, F. Ortica, F. Ragusa, G. Batignani, G. Covone, G. De Filippis, G. De Rosa, G. Fiorillo, G. Grilli di Cortona, G.K. Giovanetti, G. Korga, G. Longo, G. Testera, G. Zuzel, H.O. Back, H. Wang, I.F.M. Albuquerque, I. Kochanek, I.N. Machulin, J. Maricic, J. Monroe, J. Rode, K. Biery, K. Herner, K. Keeter, K. Pelczar, L. Pagani, L. Pandola, L.P. Mapelli, M. Ave, M. Cadeddu, M. Cadoni, M. Caravati, M. Cariello, M. Carlini, M.D. Campos, M. D'Incecco, M. Downing, M.D. Skorokhvatov, M. Fairbairn, M. Gromov, M. Guan, M. Gulino, M. Kimura, M. Kuss, M. La Commara, M. Lai, M. Lissia, M. Morrocchi, M.M. Wojcik, M. Pallavicini, M. Razeti, M. Rescigno, M. Wada, N. Canci, N. Cargioli, N. Pelliccia, O. Lychagina, O. Samoylov, O. Smirnov, P. Cavalcante, P. Musico, P. Pralavorio, R.B. Vogelaar, R. Milincic, R. Tartaglia, S. Bussino, S. Cavuoti, S. Chashin, S. Davini, S. De Cecco, S.M. Mari, S. Piacentini, S. Pordes, S. Sanfilippo, S.S. Poudel, S. Stracka, S. Westerdale, T. Alexander, The DarkSide-50 Collaboration: P. Agnes, T. Hessel, V. Bocci, V. Cataudella, V. Ippolito, V.N. Muratova, W.M. Bonivento, W. Sands, X. Li, X. Mougeot, X. Xiao, Y. Suvorov, Y. Wang","cross_cats":["astro-ph.CO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2023-02-03T16:09:23Z","title":"Search for low mass dark matter in DarkSide-50: the bayesian network approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2302.01830","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:a3b5dcaaf1bf9eb99634b9defc953e3a43b31efa65798ffc0345e2b7ed5b88ac","target":"record","created_at":"2026-07-05T06:04:37Z","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":"bbcff13f33c5bbf28f999a804c658f1103c2418231c83c299f43bd29278ea230","cross_cats_sorted":["astro-ph.CO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2023-02-03T16:09:23Z","title_canon_sha256":"051949739c506aab363a84df9f1c2d4e856590572e87a0e1cb784f74ac64590f"},"schema_version":"1.0","source":{"id":"2302.01830","kind":"arxiv","version":2}},"canonical_sha256":"b25cf7d0d6aa4a84c57d704470c1716de222132b0996fe222e102d12117b0192","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b25cf7d0d6aa4a84c57d704470c1716de222132b0996fe222e102d12117b0192","first_computed_at":"2026-07-05T06:04:37.046302Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:04:37.046302Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SfZjlmbiKUP3K9j38qjAo9m1mTpqZAEGHcYG5uEJLwNQShPPfBfXbquJ9fChG1X8d7cNHKidGOsSXeeiRa5GBA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:04:37.046802Z","signed_message":"canonical_sha256_bytes"},"source_id":"2302.01830","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3b5dcaaf1bf9eb99634b9defc953e3a43b31efa65798ffc0345e2b7ed5b88ac","sha256:eb112da4099cf08ea5a1238fc2ae767222554744abc4c79783db0b60cb46640b"],"state_sha256":"d6d04a533ec41b9ce3cce8176b4f5da3c4ffd1b6ce6dc08c2fd475b8d57b6308"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H2nI+/3079FWYLdmGah6lanEzJZoIPOGYZ2kaPJBEw5SV8FH2z1Jq9mDNnbpZP96uUx/t628fSKLduJVrzV3AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T07:24:15.448900Z","bundle_sha256":"1ccd9dcbaae3caf954c94a67f38297c43cc5fecc2d6b05e0cf5c58780b37d6b6"}}