{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:4XHQXBSVUKRBVTPA6Q6KBQ7AHZ","short_pith_number":"pith:4XHQXBSV","canonical_record":{"source":{"id":"2504.05368","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-04-07T17:38:21Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"6f34a8cf190caab22d7f68cf28ed480f502e068ff482fc49f9337a7b4c575393","abstract_canon_sha256":"560bde3fb206bc41b688597698f7c27762e174f4b81c7ba6029b6bc7036ecd15"},"schema_version":"1.0"},"canonical_sha256":"e5cf0b8655a2a21acde0f43ca0c3e03e503dec0340d7eefd18437f88ddde244e","source":{"kind":"arxiv","id":"2504.05368","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.05368","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"arxiv_version","alias_value":"2504.05368v1","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.05368","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"pith_short_12","alias_value":"4XHQXBSVUKRB","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"pith_short_16","alias_value":"4XHQXBSVUKRBVTPA","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"pith_short_8","alias_value":"4XHQXBSV","created_at":"2026-07-05T10:45:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:4XHQXBSVUKRBVTPA6Q6KBQ7AHZ","target":"record","payload":{"canonical_record":{"source":{"id":"2504.05368","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-04-07T17:38:21Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"6f34a8cf190caab22d7f68cf28ed480f502e068ff482fc49f9337a7b4c575393","abstract_canon_sha256":"560bde3fb206bc41b688597698f7c27762e174f4b81c7ba6029b6bc7036ecd15"},"schema_version":"1.0"},"canonical_sha256":"e5cf0b8655a2a21acde0f43ca0c3e03e503dec0340d7eefd18437f88ddde244e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:45:41.395516Z","signature_b64":"mBz/2WJ4cpky/jP+xbMdJGhVXdB1CNNRd6QLMGdMAiOE+NMwWItexYgnbuK9tEy+lTHkMMnwdP2w7v5bF1vyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5cf0b8655a2a21acde0f43ca0c3e03e503dec0340d7eefd18437f88ddde244e","last_reissued_at":"2026-07-05T10:45:41.395017Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:45:41.395017Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.05368","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":"2026-07-05T10:45:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"APh73OjI6WW/e6j9Jt2JiD5ap6i31U87X8v2zBzQcYNAYyzvnrkkX+drA87nakeK+pWVngvGrEiDTns99pYkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:01:08.319284Z"},"content_sha256":"0c71c28e9dcc8def8357890f91eaa65051a0144da250db84e7e00e2a805a5b3b","schema_version":"1.0","event_id":"sha256:0c71c28e9dcc8def8357890f91eaa65051a0144da250db84e7e00e2a805a5b3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:4XHQXBSVUKRBVTPA6Q6KBQ7AHZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Line H. Clemmensen, Maja J. Hjuler, Sneha Das","submitted_at":"2025-04-07T17:38:21Z","abstract_excerpt":"We introduce EmoLIME, a version of local interpretable model-agnostic explanations (LIME) for black-box Speech Emotion Recognition (SER) models. To the best of our knowledge, this is the first attempt to apply LIME in SER. EmoLIME generates high-level interpretable explanations and identifies which specific frequency ranges are most influential in determining emotional states. The approach aids in interpreting complex, high-dimensional embeddings such as those generated by end-to-end speech models. We evaluate EmoLIME, qualitatively, quantitatively, and statistically, across three emotional sp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.05368","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/2504.05368/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":"2026-07-05T10:45:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Amev2q7Pjps+2GctkxPWWjmVufea43OcFzJw8y7QZpirgsXCIBQxnfQO6u+HiAwBasR+gPKryYtb7/F2PkAgCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T08:01:08.319788Z"},"content_sha256":"ca4b4180a6f78330545888ace40bb98c431d00241175951818dbbcd9a17c9980","schema_version":"1.0","event_id":"sha256:ca4b4180a6f78330545888ace40bb98c431d00241175951818dbbcd9a17c9980"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ/bundle.json","state_url":"https://pith.science/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ/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":"2026-08-05T08:01:08Z","links":{"resolver":"https://pith.science/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ","bundle":"https://pith.science/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ/bundle.json","state":"https://pith.science/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4XHQXBSVUKRBVTPA6Q6KBQ7AHZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:4XHQXBSVUKRBVTPA6Q6KBQ7AHZ","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":"560bde3fb206bc41b688597698f7c27762e174f4b81c7ba6029b6bc7036ecd15","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-04-07T17:38:21Z","title_canon_sha256":"6f34a8cf190caab22d7f68cf28ed480f502e068ff482fc49f9337a7b4c575393"},"schema_version":"1.0","source":{"id":"2504.05368","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.05368","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"arxiv_version","alias_value":"2504.05368v1","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.05368","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"pith_short_12","alias_value":"4XHQXBSVUKRB","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"pith_short_16","alias_value":"4XHQXBSVUKRBVTPA","created_at":"2026-07-05T10:45:41Z"},{"alias_kind":"pith_short_8","alias_value":"4XHQXBSV","created_at":"2026-07-05T10:45:41Z"}],"graph_snapshots":[{"event_id":"sha256:ca4b4180a6f78330545888ace40bb98c431d00241175951818dbbcd9a17c9980","target":"graph","created_at":"2026-07-05T10:45:41Z","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/2504.05368/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce EmoLIME, a version of local interpretable model-agnostic explanations (LIME) for black-box Speech Emotion Recognition (SER) models. To the best of our knowledge, this is the first attempt to apply LIME in SER. EmoLIME generates high-level interpretable explanations and identifies which specific frequency ranges are most influential in determining emotional states. The approach aids in interpreting complex, high-dimensional embeddings such as those generated by end-to-end speech models. We evaluate EmoLIME, qualitatively, quantitatively, and statistically, across three emotional sp","authors_text":"Line H. Clemmensen, Maja J. Hjuler, Sneha Das","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-04-07T17:38:21Z","title":"Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.05368","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":"sha256:0c71c28e9dcc8def8357890f91eaa65051a0144da250db84e7e00e2a805a5b3b","target":"record","created_at":"2026-07-05T10:45:41Z","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":"560bde3fb206bc41b688597698f7c27762e174f4b81c7ba6029b6bc7036ecd15","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2025-04-07T17:38:21Z","title_canon_sha256":"6f34a8cf190caab22d7f68cf28ed480f502e068ff482fc49f9337a7b4c575393"},"schema_version":"1.0","source":{"id":"2504.05368","kind":"arxiv","version":1}},"canonical_sha256":"e5cf0b8655a2a21acde0f43ca0c3e03e503dec0340d7eefd18437f88ddde244e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5cf0b8655a2a21acde0f43ca0c3e03e503dec0340d7eefd18437f88ddde244e","first_computed_at":"2026-07-05T10:45:41.395017Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:45:41.395017Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mBz/2WJ4cpky/jP+xbMdJGhVXdB1CNNRd6QLMGdMAiOE+NMwWItexYgnbuK9tEy+lTHkMMnwdP2w7v5bF1vyBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:45:41.395516Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.05368","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c71c28e9dcc8def8357890f91eaa65051a0144da250db84e7e00e2a805a5b3b","sha256:ca4b4180a6f78330545888ace40bb98c431d00241175951818dbbcd9a17c9980"],"state_sha256":"92a2ec3237d188b7bcf7bbd23354db33860d9adf36b86b411a8ae35632d6125a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lsKV/egHOfFofXVHA+8I1XLO6zdOHmQxu2/bY7RIm76u+8W9BA2NZ20+AfiH8M3yaQSPcnzJYgoglAnMCox9Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T08:01:08.325501Z","bundle_sha256":"1bfb48a26fd1e559c83c59fcae20d9fc063fe7a93c23c2f9e6a8ffaae8d65cbb"}}