{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ONM5CJX7P6Z762JVXLJNA2M672","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":"7ea2cc1ca325c17339bd52e82339a6cf866def012ce5e86cc33e328663f70804","cross_cats_sorted":["eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-08-08T05:11:07Z","title_canon_sha256":"732cc9ac9e9b73fa5b38dd18fb9a717109480cd4842686cb38a1b849539ff66d"},"schema_version":"1.0","source":{"id":"2108.03569","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.03569","created_at":"2026-07-05T03:04:07Z"},{"alias_kind":"arxiv_version","alias_value":"2108.03569v1","created_at":"2026-07-05T03:04:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.03569","created_at":"2026-07-05T03:04:07Z"},{"alias_kind":"pith_short_12","alias_value":"ONM5CJX7P6Z7","created_at":"2026-07-05T03:04:07Z"},{"alias_kind":"pith_short_16","alias_value":"ONM5CJX7P6Z762JV","created_at":"2026-07-05T03:04:07Z"},{"alias_kind":"pith_short_8","alias_value":"ONM5CJX7","created_at":"2026-07-05T03:04:07Z"}],"graph_snapshots":[{"event_id":"sha256:164d2955a5e0e0d9d9b20c0ceb1b7307918a37f51eac8eafe23c602d345a696c","target":"graph","created_at":"2026-07-05T03:04:07Z","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/2108.03569/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Musical Instrument Identification has for long had a reputation of being one of the most ill-posed problems in the field of Musical Information Retrieval(MIR). Despite several robust attempts to solve the problem, a timeline spanning over the last five odd decades, the problem remains an open conundrum. In this work, the authors take on a further complex version of the traditional problem statement. They attempt to solve the problem with minimal data available - one audio excerpt per class. We propose to use a convolutional Siamese network and a residual variant of the same to identify musical","authors_text":"Aniruddha Chandra, Arindam Dutta, Debdutta Chatterjee, Dibakar Sil","cross_cats":["eess.AS","eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-08-08T05:11:07Z","title":"Deep Single Shot Musical Instrument Identification using Scalograms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.03569","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":"sha256:33ecc87a90a105c415b6bf611b3c88121084bed2f8d2f2eeb8ef3086a7cea25b","target":"record","created_at":"2026-07-05T03:04:07Z","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":"7ea2cc1ca325c17339bd52e82339a6cf866def012ce5e86cc33e328663f70804","cross_cats_sorted":["eess.AS","eess.SP"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2021-08-08T05:11:07Z","title_canon_sha256":"732cc9ac9e9b73fa5b38dd18fb9a717109480cd4842686cb38a1b849539ff66d"},"schema_version":"1.0","source":{"id":"2108.03569","kind":"arxiv","version":1}},"canonical_sha256":"7359d126ff7fb3ff6935bad2d0699efe8df908e300678710e05a7a7145781207","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7359d126ff7fb3ff6935bad2d0699efe8df908e300678710e05a7a7145781207","first_computed_at":"2026-07-05T03:04:07.096442Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:04:07.096442Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QDrlte2cU0WsEFQi40VLYbRB+/hMub2E6cd0puzqKluGSUAadSi1/JH1UuIB8jfyyMEJIn4kGw79BkC/lcp+CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:04:07.096847Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.03569","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:33ecc87a90a105c415b6bf611b3c88121084bed2f8d2f2eeb8ef3086a7cea25b","sha256:164d2955a5e0e0d9d9b20c0ceb1b7307918a37f51eac8eafe23c602d345a696c"],"state_sha256":"7b3128200f5c63431e1699644057c98e71e3506cd469dc6afff471d536c97282"}