{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IWME3UZCDI5NQJJSH2GO5KYTB5","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":"fd5b45299e11c1ff61bec727221dd696a27446a5a2ddd81af33ee1fdd75eef2b","cross_cats_sorted":["cs.AI","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-07-15T07:59:54Z","title_canon_sha256":"76598adad6a38c12cdd128d8384b02a25bca7ca54b0c90c86aee19e4e53cc6dc"},"schema_version":"1.0","source":{"id":"2607.13555","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.13555","created_at":"2026-07-16T01:22:53Z"},{"alias_kind":"arxiv_version","alias_value":"2607.13555v1","created_at":"2026-07-16T01:22:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.13555","created_at":"2026-07-16T01:22:53Z"},{"alias_kind":"pith_short_12","alias_value":"IWME3UZCDI5N","created_at":"2026-07-16T01:22:53Z"},{"alias_kind":"pith_short_16","alias_value":"IWME3UZCDI5NQJJS","created_at":"2026-07-16T01:22:53Z"},{"alias_kind":"pith_short_8","alias_value":"IWME3UZC","created_at":"2026-07-16T01:22:53Z"}],"graph_snapshots":[{"event_id":"sha256:47e8fe868d7bbe2260328388f95e110f3faa8085f5e88ef9f1a48fd29969b426","target":"graph","created_at":"2026-07-16T01:22:53Z","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/2607.13555/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Bioacoustic call-type classification relies on costly expert annotation. Active learning can reduce this burden by selecting a small batch of segments for expert annotation and using the labeled segments for training the classifier. The setting is hard: the target calls are extremely sparse and the call-type distribution is long-tailed, so a tight budget must be spent on the few rare, informative segments. We propose BADGE-Greedy-DPP, a deterministic batch selector that greedily adds the segment whose BADGE gradient embedding most enlarges the volume spanned by the batch; because this log-volu","authors_text":"Ariana Strandburg-Peshkin, Marius Fai{\\ss}, Shiqi Zhang, Tuomas Virtanen","cross_cats":["cs.AI","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-07-15T07:59:54Z","title":"Greedy Volume Maximization of Gradient Embeddings for Long-Tailed Frame-Level Bioacoustic Active Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.13555","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":"sha256:72a767624a6c0075c762a274f9cda26d493593be4f5c5d8cb1bb9bc5c4224f59","target":"record","created_at":"2026-07-16T01:22:53Z","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":"fd5b45299e11c1ff61bec727221dd696a27446a5a2ddd81af33ee1fdd75eef2b","cross_cats_sorted":["cs.AI","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2026-07-15T07:59:54Z","title_canon_sha256":"76598adad6a38c12cdd128d8384b02a25bca7ca54b0c90c86aee19e4e53cc6dc"},"schema_version":"1.0","source":{"id":"2607.13555","kind":"arxiv","version":1}},"canonical_sha256":"45984dd3221a3ad825323e8ceeab130f54be6269b64642fee4b766f2f7cdf54d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"45984dd3221a3ad825323e8ceeab130f54be6269b64642fee4b766f2f7cdf54d","first_computed_at":"2026-07-16T01:22:53.913378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-16T01:22:53.913378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2SxAUubmIiLVIdsbE9XiKPuj/EAlaRZD8QTOQNFdIPmnAmLegNdwLMA6AG9ojRF5z5uLOD/glnOzd3B8VcAkAA==","signature_status":"signed_v1","signed_at":"2026-07-16T01:22:53.914240Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.13555","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72a767624a6c0075c762a274f9cda26d493593be4f5c5d8cb1bb9bc5c4224f59","sha256:47e8fe868d7bbe2260328388f95e110f3faa8085f5e88ef9f1a48fd29969b426"],"state_sha256":"46f9ff31e93cc70df7b72b9acce68a6f71d73a17862cb41c764d7efb510841d8"}