{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:37K7GQKSLOOUCZGBYJZQCHCKHB","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":"3652facee6966908b51334714e5ae81924a8485c616adb54f2b585bb0bed79af","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-15T17:42:41Z","title_canon_sha256":"d922e16919ea2fd3b0752cf13cfc2315ce90dadc240837fc17c80f93469c4393"},"schema_version":"1.0","source":{"id":"2607.14072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.14072","created_at":"2026-07-16T01:23:23Z"},{"alias_kind":"arxiv_version","alias_value":"2607.14072v1","created_at":"2026-07-16T01:23:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.14072","created_at":"2026-07-16T01:23:23Z"},{"alias_kind":"pith_short_12","alias_value":"37K7GQKSLOOU","created_at":"2026-07-16T01:23:23Z"},{"alias_kind":"pith_short_16","alias_value":"37K7GQKSLOOUCZGB","created_at":"2026-07-16T01:23:23Z"},{"alias_kind":"pith_short_8","alias_value":"37K7GQKS","created_at":"2026-07-16T01:23:23Z"}],"graph_snapshots":[{"event_id":"sha256:8d9bd3e66d74f63edae7177bd5862a505e3341f202f044ec2690a997a73b5e12","target":"graph","created_at":"2026-07-16T01:23:23Z","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/2607.14072/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bioacoustic foundation models rely on large-scale citizen science platforms like Xeno-Canto for geographically and ecologically diverse data. Recent work has shown that supervision alone can produce SotA species detection models when trained on this large-scale data -- however, there remains unutilized potential in the form of recording metadata readily available within these community-driven data hubs. In this work, we explore the use of metadata -- such as location and time -- as auxiliary supervision signals, allowing the model to leverage species-metadata correlations in its learned repres","authors_text":"Jenny Hamer, Mustafa Chasmai, Vincent Dumoulin","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-15T17:42:41Z","title":"MetaPerch: Learning from metadata for bioacoustics foundation models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.14072","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":"sha256:03362028102dbf439018e7036859f612d5c26b37e79fb683fdd4273fcd84a9ce","target":"record","created_at":"2026-07-16T01:23:23Z","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":"3652facee6966908b51334714e5ae81924a8485c616adb54f2b585bb0bed79af","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-15T17:42:41Z","title_canon_sha256":"d922e16919ea2fd3b0752cf13cfc2315ce90dadc240837fc17c80f93469c4393"},"schema_version":"1.0","source":{"id":"2607.14072","kind":"arxiv","version":1}},"canonical_sha256":"dfd5f341525b9d4164c1c273011c4a3867eb4fc1de814d3d8fe7e30004340724","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dfd5f341525b9d4164c1c273011c4a3867eb4fc1de814d3d8fe7e30004340724","first_computed_at":"2026-07-16T01:23:23.108018Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T01:23:23.108018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/mSi002uYmEtVKLw6d3FBPvbTnskIzk+BMyi8keymyb0q1HjF3vO4UlPvrXteQS91NsB8Xn8l75eXMGJ5S+FBg==","signature_status":"signed_v1","signed_at":"2026-07-16T01:23:23.108835Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.14072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03362028102dbf439018e7036859f612d5c26b37e79fb683fdd4273fcd84a9ce","sha256:8d9bd3e66d74f63edae7177bd5862a505e3341f202f044ec2690a997a73b5e12"],"state_sha256":"53035a24e8261b3c67ab611af03d4562d0afc7e3e6aadb28f0de231a51d89271"}