{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ADYWIDXSJITPSWHQHTSMXIBBQP","short_pith_number":"pith:ADYWIDXS","canonical_record":{"source":{"id":"2209.01478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-09-03T18:43:39Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"3e154187b5dca674101d8f870984f77f0154a4d7eacf92713c3cde0ce6dbb24d","abstract_canon_sha256":"ba3234ce177c4d0409be3cbf5a5d2ca88c57daa124e6ae0d05d21eb8ad467479"},"schema_version":"1.0"},"canonical_sha256":"00f1640ef24a26f958f03ce4cba02183d53608a1571c309f1e96083daf67cba6","source":{"kind":"arxiv","id":"2209.01478","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.01478","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"arxiv_version","alias_value":"2209.01478v1","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01478","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_12","alias_value":"ADYWIDXSJITP","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_16","alias_value":"ADYWIDXSJITPSWHQ","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_8","alias_value":"ADYWIDXS","created_at":"2026-07-05T04:54:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ADYWIDXSJITPSWHQHTSMXIBBQP","target":"record","payload":{"canonical_record":{"source":{"id":"2209.01478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-09-03T18:43:39Z","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"title_canon_sha256":"3e154187b5dca674101d8f870984f77f0154a4d7eacf92713c3cde0ce6dbb24d","abstract_canon_sha256":"ba3234ce177c4d0409be3cbf5a5d2ca88c57daa124e6ae0d05d21eb8ad467479"},"schema_version":"1.0"},"canonical_sha256":"00f1640ef24a26f958f03ce4cba02183d53608a1571c309f1e96083daf67cba6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:54:29.920830Z","signature_b64":"N5PVQaZ27hW43zBRBmuQnlUZFUo8qFGlKL809rksENEE5V+lpeLY+X0FnAqz8Ut3IzfjML/PIQWz4ENbsXHoCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00f1640ef24a26f958f03ce4cba02183d53608a1571c309f1e96083daf67cba6","last_reissued_at":"2026-07-05T04:54:29.920481Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:54:29.920481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2209.01478","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":"2026-07-05T04:54:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B/0vAMrLVJkKXKOprHINbmT/Bg3Ew2x1DOIqgqIH4y/OJZKA1K2lns27bXuiJfYmf7L2578xIKyq+vlydxoTAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T10:42:35.407948Z"},"content_sha256":"ed3a1af6f4e516adc8330b318f4c81dddef3648f2fc03c916370b5092fb714f7","schema_version":"1.0","event_id":"sha256:ed3a1af6f4e516adc8330b318f4c81dddef3648f2fc03c916370b5092fb714f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ADYWIDXSJITPSWHQHTSMXIBBQP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Equivariant Self-Supervision for Musical Tempo Estimation","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Elio Quinton","submitted_at":"2022-09-03T18:43:39Z","abstract_excerpt":"Self-supervised methods have emerged as a promising avenue for representation learning in the recent years since they alleviate the need for labeled datasets, which are scarce and expensive to acquire. Contrastive methods are a popular choice for self-supervision in the audio domain, and typically provide a learning signal by forcing the model to be invariant to some transformations of the input. These methods, however, require measures such as negative sampling or some form of regularisation to be taken to prevent the model from collapsing on trivial solutions. In this work, instead of invari"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01478","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/2209.01478/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":"2026-07-05T04:54:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8w1QJ7Eh5Ot7A7BSGGJu1toSAZ9IeQt1lKKhjWuiEEtRPIGZbuwlQrtl/TyxYmIshDYDs2UFSMPwrd648kHZBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T10:42:35.408590Z"},"content_sha256":"5cc08e029edcd6d63c3a1b3fa4a9a42e5fa0940c6e0dfa69ce00b0c6636e885b","schema_version":"1.0","event_id":"sha256:5cc08e029edcd6d63c3a1b3fa4a9a42e5fa0940c6e0dfa69ce00b0c6636e885b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ADYWIDXSJITPSWHQHTSMXIBBQP/bundle.json","state_url":"https://pith.science/pith/ADYWIDXSJITPSWHQHTSMXIBBQP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ADYWIDXSJITPSWHQHTSMXIBBQP/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":"2026-07-10T10:42:35Z","links":{"resolver":"https://pith.science/pith/ADYWIDXSJITPSWHQHTSMXIBBQP","bundle":"https://pith.science/pith/ADYWIDXSJITPSWHQHTSMXIBBQP/bundle.json","state":"https://pith.science/pith/ADYWIDXSJITPSWHQHTSMXIBBQP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ADYWIDXSJITPSWHQHTSMXIBBQP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ADYWIDXSJITPSWHQHTSMXIBBQP","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":"ba3234ce177c4d0409be3cbf5a5d2ca88c57daa124e6ae0d05d21eb8ad467479","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-09-03T18:43:39Z","title_canon_sha256":"3e154187b5dca674101d8f870984f77f0154a4d7eacf92713c3cde0ce6dbb24d"},"schema_version":"1.0","source":{"id":"2209.01478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2209.01478","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"arxiv_version","alias_value":"2209.01478v1","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2209.01478","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_12","alias_value":"ADYWIDXSJITP","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_16","alias_value":"ADYWIDXSJITPSWHQ","created_at":"2026-07-05T04:54:29Z"},{"alias_kind":"pith_short_8","alias_value":"ADYWIDXS","created_at":"2026-07-05T04:54:29Z"}],"graph_snapshots":[{"event_id":"sha256:5cc08e029edcd6d63c3a1b3fa4a9a42e5fa0940c6e0dfa69ce00b0c6636e885b","target":"graph","created_at":"2026-07-05T04:54:29Z","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/2209.01478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised methods have emerged as a promising avenue for representation learning in the recent years since they alleviate the need for labeled datasets, which are scarce and expensive to acquire. Contrastive methods are a popular choice for self-supervision in the audio domain, and typically provide a learning signal by forcing the model to be invariant to some transformations of the input. These methods, however, require measures such as negative sampling or some form of regularisation to be taken to prevent the model from collapsing on trivial solutions. In this work, instead of invari","authors_text":"Elio Quinton","cross_cats":["cs.AI","cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-09-03T18:43:39Z","title":"Equivariant Self-Supervision for Musical Tempo Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2209.01478","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:ed3a1af6f4e516adc8330b318f4c81dddef3648f2fc03c916370b5092fb714f7","target":"record","created_at":"2026-07-05T04:54:29Z","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":"ba3234ce177c4d0409be3cbf5a5d2ca88c57daa124e6ae0d05d21eb8ad467479","cross_cats_sorted":["cs.AI","cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2022-09-03T18:43:39Z","title_canon_sha256":"3e154187b5dca674101d8f870984f77f0154a4d7eacf92713c3cde0ce6dbb24d"},"schema_version":"1.0","source":{"id":"2209.01478","kind":"arxiv","version":1}},"canonical_sha256":"00f1640ef24a26f958f03ce4cba02183d53608a1571c309f1e96083daf67cba6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00f1640ef24a26f958f03ce4cba02183d53608a1571c309f1e96083daf67cba6","first_computed_at":"2026-07-05T04:54:29.920481Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:54:29.920481Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N5PVQaZ27hW43zBRBmuQnlUZFUo8qFGlKL809rksENEE5V+lpeLY+X0FnAqz8Ut3IzfjML/PIQWz4ENbsXHoCw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:54:29.920830Z","signed_message":"canonical_sha256_bytes"},"source_id":"2209.01478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed3a1af6f4e516adc8330b318f4c81dddef3648f2fc03c916370b5092fb714f7","sha256:5cc08e029edcd6d63c3a1b3fa4a9a42e5fa0940c6e0dfa69ce00b0c6636e885b"],"state_sha256":"1d49138e1f4bf486da82a43b2c4be6092bf6071811a88be9d57cc5fcbc0d2b9c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IGFI2eM7/V5B2AyC561vCuokQE1m861F5yWA6+xox6nFF6AG8NWX3X9sK5TXuz0W46wTkOhuYi+1meJqZ+4tBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T10:42:35.410504Z","bundle_sha256":"d29af06d9d4fec8a0ee07f4495fa5bb5a6f3c738fff5504156105a232cc0ae11"}}