{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:TORYKZZAB4QBUEEQC4ADWAJU2D","short_pith_number":"pith:TORYKZZA","schema_version":"1.0","canonical_sha256":"9ba38567200f201a109017003b0134d0fc70cb8a977c36d3675bc1002f25bbcf","source":{"kind":"arxiv","id":"2605.31190","version":1},"attestation_state":"computed","paper":{"title":"Exploring Low Energy Excess in MINER with sapphire detectors using Convolutional Variational Autoencoder (CVAE)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.ins-det","authors_text":"A. Jastram, A. Kubik, B. Dutta, B. Mohanty, D. Mondal, H. Neog, J. B. Dent, J. L. Newstead, J. Sander, J. Walker, K. Lang, L. E. Strigari, M. Chaudhuri, M. Mirzakhani, M. Platt, N. Mirabolfathi, R. Mahapatra, S. Maludze, S. Sahoo, V. Iyer, V. K. S. Kashyap, W. Baker","submitted_at":"2026-05-29T11:56:50Z","abstract_excerpt":"As cryogenic detectors push toward ever-lower energy thresholds, their sensitivity is increasingly constrained by a persistent low-energy background known as the low-energy excess (LEE). We report observation of LEE in the MINER experiment using a sapphire ($\\mathrm{Al_2O_3}$) detector at energies around 200 eV, with the excess reproducibly reappearing after each non-operational warm-up period. To address this limiting background, we implement an unsupervised convolutional variational autoencoder (CVAE) framework that identifies anomalous events through a reconstruction-based anomaly score.\n  "},"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":"2605.31190","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.ins-det","submitted_at":"2026-05-29T11:56:50Z","cross_cats_sorted":["hep-ex"],"title_canon_sha256":"8e3f9c50d8e1484c3f3a628670a00f629f4279085ce10e680aad2b04c5f4dfef","abstract_canon_sha256":"ea4f4ff8697bbadbe8cf9ea58bfdabac638ed2c32b7fa1eac85158968ff8107e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:04:03.202970Z","signature_b64":"y1sEtsFuBQgWtYtX+YPS1zZSUAkCUsrfX/n5EWhhDi7Em9UBdROhZZURG12j/EmDwQRGXZobnV9m16P9PEXnDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9ba38567200f201a109017003b0134d0fc70cb8a977c36d3675bc1002f25bbcf","last_reissued_at":"2026-06-01T01:04:03.202557Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:04:03.202557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Exploring Low Energy Excess in MINER with sapphire detectors using Convolutional Variational Autoencoder (CVAE)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["hep-ex"],"primary_cat":"physics.ins-det","authors_text":"A. Jastram, A. Kubik, B. Dutta, B. Mohanty, D. Mondal, H. Neog, J. B. Dent, J. L. Newstead, J. Sander, J. Walker, K. Lang, L. E. Strigari, M. Chaudhuri, M. Mirzakhani, M. Platt, N. Mirabolfathi, R. Mahapatra, S. Maludze, S. Sahoo, V. Iyer, V. K. S. Kashyap, W. Baker","submitted_at":"2026-05-29T11:56:50Z","abstract_excerpt":"As cryogenic detectors push toward ever-lower energy thresholds, their sensitivity is increasingly constrained by a persistent low-energy background known as the low-energy excess (LEE). We report observation of LEE in the MINER experiment using a sapphire ($\\mathrm{Al_2O_3}$) detector at energies around 200 eV, with the excess reproducibly reappearing after each non-operational warm-up period. To address this limiting background, we implement an unsupervised convolutional variational autoencoder (CVAE) framework that identifies anomalous events through a reconstruction-based anomaly score.\n  "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31190","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/2605.31190/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":"2605.31190","created_at":"2026-06-01T01:04:03.202617+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.31190v1","created_at":"2026-06-01T01:04:03.202617+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31190","created_at":"2026-06-01T01:04:03.202617+00:00"},{"alias_kind":"pith_short_12","alias_value":"TORYKZZAB4QB","created_at":"2026-06-01T01:04:03.202617+00:00"},{"alias_kind":"pith_short_16","alias_value":"TORYKZZAB4QBUEEQ","created_at":"2026-06-01T01:04:03.202617+00:00"},{"alias_kind":"pith_short_8","alias_value":"TORYKZZA","created_at":"2026-06-01T01:04:03.202617+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/TORYKZZAB4QBUEEQC4ADWAJU2D","json":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D.json","graph_json":"https://pith.science/api/pith-number/TORYKZZAB4QBUEEQC4ADWAJU2D/graph.json","events_json":"https://pith.science/api/pith-number/TORYKZZAB4QBUEEQC4ADWAJU2D/events.json","paper":"https://pith.science/paper/TORYKZZA"},"agent_actions":{"view_html":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D","download_json":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D.json","view_paper":"https://pith.science/paper/TORYKZZA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.31190&json=true","fetch_graph":"https://pith.science/api/pith-number/TORYKZZAB4QBUEEQC4ADWAJU2D/graph.json","fetch_events":"https://pith.science/api/pith-number/TORYKZZAB4QBUEEQC4ADWAJU2D/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D/action/storage_attestation","attest_author":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D/action/author_attestation","sign_citation":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D/action/citation_signature","submit_replication":"https://pith.science/pith/TORYKZZAB4QBUEEQC4ADWAJU2D/action/replication_record"}},"created_at":"2026-06-01T01:04:03.202617+00:00","updated_at":"2026-06-01T01:04:03.202617+00:00"}