{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:LWMNMUTTYYLELHAFNXP7Z5Y2R4","short_pith_number":"pith:LWMNMUTT","canonical_record":{"source":{"id":"2206.04805","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-08T06:58:54Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"c4b3690364bb20e9670205b8fd3eaf09c99d3907ffebf29029608957a0826879","abstract_canon_sha256":"5600fbf89535279f87e0be98b9115351f17f95375afcd03215dcdeef26529fc4"},"schema_version":"1.0"},"canonical_sha256":"5d98d65273c616459c056ddffcf71a8f0aadd38c55693713a38bfafbcf33e372","source":{"kind":"arxiv","id":"2206.04805","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.04805","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"arxiv_version","alias_value":"2206.04805v1","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.04805","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"pith_short_12","alias_value":"LWMNMUTTYYLE","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"pith_short_16","alias_value":"LWMNMUTTYYLELHAF","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"pith_short_8","alias_value":"LWMNMUTT","created_at":"2026-07-05T08:41:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:LWMNMUTTYYLELHAFNXP7Z5Y2R4","target":"record","payload":{"canonical_record":{"source":{"id":"2206.04805","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-08T06:58:54Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"c4b3690364bb20e9670205b8fd3eaf09c99d3907ffebf29029608957a0826879","abstract_canon_sha256":"5600fbf89535279f87e0be98b9115351f17f95375afcd03215dcdeef26529fc4"},"schema_version":"1.0"},"canonical_sha256":"5d98d65273c616459c056ddffcf71a8f0aadd38c55693713a38bfafbcf33e372","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:41:25.154346Z","signature_b64":"DDbNfcBswGsM2xJDnIxwj3e21PAVuifV4ROE9dUgHNZmhtfdAkM1cd4X8kPbViDQc9uPjh86EbfMH+6xJmu3CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5d98d65273c616459c056ddffcf71a8f0aadd38c55693713a38bfafbcf33e372","last_reissued_at":"2026-07-05T08:41:25.153916Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:41:25.153916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.04805","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:41:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LDxpEZ51U3nwZyrtuVGkpjZxeUjaNUNC3icZD1KiAZGdSNT8fV2By3HH/TYC19GDeIlZH1M2d17G3zX+pUATDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:00:13.141219Z"},"content_sha256":"36b70b5d6cc140a8e59115d773f3582b99245d028d615ede83862478a05e5eda","schema_version":"1.0","event_id":"sha256:36b70b5d6cc140a8e59115d773f3582b99245d028d615ede83862478a05e5eda"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:LWMNMUTTYYLELHAFNXP7Z5Y2R4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Aniketh Swain, Anthony Miyaguchi, Bryan Cheungvivatpant, Dakota Dudley, Jiangyue Yu","submitted_at":"2022-06-08T06:58:54Z","abstract_excerpt":"We build a classification model for the BirdCLEF 2022 challenge using unsupervised methods. We implement an unsupervised representation of the training dataset using a triplet loss on spectrogram representation of audio motifs. Our best model performs with a score of 0.48 on the public leaderboard."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.04805","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/2206.04805/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":"2026-07-05T08:41:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UQnQQ9+AxobXQPrrcSh+L8yKvNxTDSEB5gaPGrSh7REAxip0nMzs3AQU5QiZBVT86zHV/JC7B0t5GeuBWpoRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:00:13.141990Z"},"content_sha256":"03aaaa2fa82c2558dc40519dff1ea4532e52dd9aac1b1360f4f44d02fe5ea7a6","schema_version":"1.0","event_id":"sha256:03aaaa2fa82c2558dc40519dff1ea4532e52dd9aac1b1360f4f44d02fe5ea7a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4/bundle.json","state_url":"https://pith.science/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4/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":"2026-08-04T10:00:13Z","links":{"resolver":"https://pith.science/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4","bundle":"https://pith.science/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4/bundle.json","state":"https://pith.science/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LWMNMUTTYYLELHAFNXP7Z5Y2R4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:LWMNMUTTYYLELHAFNXP7Z5Y2R4","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":"5600fbf89535279f87e0be98b9115351f17f95375afcd03215dcdeef26529fc4","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-08T06:58:54Z","title_canon_sha256":"c4b3690364bb20e9670205b8fd3eaf09c99d3907ffebf29029608957a0826879"},"schema_version":"1.0","source":{"id":"2206.04805","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.04805","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"arxiv_version","alias_value":"2206.04805v1","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.04805","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"pith_short_12","alias_value":"LWMNMUTTYYLE","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"pith_short_16","alias_value":"LWMNMUTTYYLELHAF","created_at":"2026-07-05T08:41:25Z"},{"alias_kind":"pith_short_8","alias_value":"LWMNMUTT","created_at":"2026-07-05T08:41:25Z"}],"graph_snapshots":[{"event_id":"sha256:03aaaa2fa82c2558dc40519dff1ea4532e52dd9aac1b1360f4f44d02fe5ea7a6","target":"graph","created_at":"2026-07-05T08:41:25Z","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/2206.04805/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We build a classification model for the BirdCLEF 2022 challenge using unsupervised methods. We implement an unsupervised representation of the training dataset using a triplet loss on spectrogram representation of audio motifs. Our best model performs with a score of 0.48 on the public leaderboard.","authors_text":"Aniketh Swain, Anthony Miyaguchi, Bryan Cheungvivatpant, Dakota Dudley, Jiangyue Yu","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-08T06:58:54Z","title":"Motif Mining and Unsupervised Representation Learning for BirdCLEF 2022"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.04805","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":"sha256:36b70b5d6cc140a8e59115d773f3582b99245d028d615ede83862478a05e5eda","target":"record","created_at":"2026-07-05T08:41:25Z","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":"5600fbf89535279f87e0be98b9115351f17f95375afcd03215dcdeef26529fc4","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2022-06-08T06:58:54Z","title_canon_sha256":"c4b3690364bb20e9670205b8fd3eaf09c99d3907ffebf29029608957a0826879"},"schema_version":"1.0","source":{"id":"2206.04805","kind":"arxiv","version":1}},"canonical_sha256":"5d98d65273c616459c056ddffcf71a8f0aadd38c55693713a38bfafbcf33e372","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5d98d65273c616459c056ddffcf71a8f0aadd38c55693713a38bfafbcf33e372","first_computed_at":"2026-07-05T08:41:25.153916Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:41:25.153916Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DDbNfcBswGsM2xJDnIxwj3e21PAVuifV4ROE9dUgHNZmhtfdAkM1cd4X8kPbViDQc9uPjh86EbfMH+6xJmu3CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:41:25.154346Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.04805","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36b70b5d6cc140a8e59115d773f3582b99245d028d615ede83862478a05e5eda","sha256:03aaaa2fa82c2558dc40519dff1ea4532e52dd9aac1b1360f4f44d02fe5ea7a6"],"state_sha256":"83247802161de7b9f9bb7710b29339eca4717cc54851621caf9dabf7c4068456"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OFwvh9fy6OQ3GR9e55OYaTn+Lo8N1aJqAlfwAgUsdiTaE9E1N8Mv9FK3AokVEhS0dK4ilIrw4HSdewg68gseBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T10:00:13.148530Z","bundle_sha256":"e3520675a61041159c5d00a28dede5e002e3cfec6f6454f443756540c0cfdd81"}}