{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WWHWTVY7V2WO57POGT34OPLBZN","short_pith_number":"pith:WWHWTVY7","canonical_record":{"source":{"id":"2411.10027","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-11-15T08:13:51Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"f37f804f1a9caeb5e474080db629de716c64f012c9076c5c4e1b4badd5dbf0d3","abstract_canon_sha256":"06e85f2d3d4c9cd9ac77f95c62e976aa86189b2fba9ebd43d6ee4dd5048589c5"},"schema_version":"1.0"},"canonical_sha256":"b58f69d71faeaceefdee34f7c73d61cb6f660f349d3030565cd4eb4dfa21c484","source":{"kind":"arxiv","id":"2411.10027","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10027","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10027v2","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10027","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"WWHWTVY7V2WO","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"WWHWTVY7V2WO57PO","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"WWHWTVY7","created_at":"2026-07-05T10:22:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WWHWTVY7V2WO57POGT34OPLBZN","target":"record","payload":{"canonical_record":{"source":{"id":"2411.10027","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-11-15T08:13:51Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"f37f804f1a9caeb5e474080db629de716c64f012c9076c5c4e1b4badd5dbf0d3","abstract_canon_sha256":"06e85f2d3d4c9cd9ac77f95c62e976aa86189b2fba9ebd43d6ee4dd5048589c5"},"schema_version":"1.0"},"canonical_sha256":"b58f69d71faeaceefdee34f7c73d61cb6f660f349d3030565cd4eb4dfa21c484","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:22:09.918443Z","signature_b64":"srQtqnQXA3knye+KrsiBeP40+ZvR+D5XMp+yr73ItPneQPOmy5GI0dRsDtFB8w8bdmP9hlpQgPzxeADBkfPGCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b58f69d71faeaceefdee34f7c73d61cb6f660f349d3030565cd4eb4dfa21c484","last_reissued_at":"2026-07-05T10:22:09.917853Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:22:09.917853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.10027","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NjoqQKKkQDH4vAb1XgDE8lY8+llxXYGjAGn0G5eeCQuZHbXGB9xmHR8BvMmJkl+ErGcry0WaHeSy/YdipLssBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:37.422101Z"},"content_sha256":"cf9ca76c578c4cae9cdc5dbe9c9c527fccd2e9fbfdb3b267e349109f42e7fe10","schema_version":"1.0","event_id":"sha256:cf9ca76c578c4cae9cdc5dbe9c9c527fccd2e9fbfdb3b267e349109f42e7fe10"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WWHWTVY7V2WO57POGT34OPLBZN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"Rohan Kumar Das, Yang Xiao","submitted_at":"2024-11-15T08:13:51Z","abstract_excerpt":"Transformers and their variants have achieved great success in speech processing. However, their multi-head self-attention mechanism is computationally expensive. Therefore, one novel selective state space model, Mamba, has been proposed as an alternative. Building on its success in automatic speech recognition, we apply Mamba for spoofing attack detection. Mamba is well-suited for this task as it can capture the artifacts in spoofed speech signals by handling long-length sequences. However, Mamba's performance may suffer when it is trained with limited labeled data. To mitigate this, we propo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10027","kind":"arxiv","version":2},"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/2411.10027/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":"2026-07-05T10:22:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NzZjBSU8aYW+DeR21uUAQ9BC3uHvvlPvdGutdYkPos+iP14AiHbG+AHb12L27lrMb8Z1/uaOelZ/k1TiedcsAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:37.422623Z"},"content_sha256":"baf8c94f5979d5edd520640874d1a8bc54bba83054bdfaf8aced7e602a78869e","schema_version":"1.0","event_id":"sha256:baf8c94f5979d5edd520640874d1a8bc54bba83054bdfaf8aced7e602a78869e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WWHWTVY7V2WO57POGT34OPLBZN/bundle.json","state_url":"https://pith.science/pith/WWHWTVY7V2WO57POGT34OPLBZN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WWHWTVY7V2WO57POGT34OPLBZN/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":"2026-08-07T23:35:37Z","links":{"resolver":"https://pith.science/pith/WWHWTVY7V2WO57POGT34OPLBZN","bundle":"https://pith.science/pith/WWHWTVY7V2WO57POGT34OPLBZN/bundle.json","state":"https://pith.science/pith/WWHWTVY7V2WO57POGT34OPLBZN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WWHWTVY7V2WO57POGT34OPLBZN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WWHWTVY7V2WO57POGT34OPLBZN","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":"06e85f2d3d4c9cd9ac77f95c62e976aa86189b2fba9ebd43d6ee4dd5048589c5","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-11-15T08:13:51Z","title_canon_sha256":"f37f804f1a9caeb5e474080db629de716c64f012c9076c5c4e1b4badd5dbf0d3"},"schema_version":"1.0","source":{"id":"2411.10027","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.10027","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2411.10027v2","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.10027","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"WWHWTVY7V2WO","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"WWHWTVY7V2WO57PO","created_at":"2026-07-05T10:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"WWHWTVY7","created_at":"2026-07-05T10:22:09Z"}],"graph_snapshots":[{"event_id":"sha256:baf8c94f5979d5edd520640874d1a8bc54bba83054bdfaf8aced7e602a78869e","target":"graph","created_at":"2026-07-05T10:22:09Z","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/2411.10027/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers and their variants have achieved great success in speech processing. However, their multi-head self-attention mechanism is computationally expensive. Therefore, one novel selective state space model, Mamba, has been proposed as an alternative. Building on its success in automatic speech recognition, we apply Mamba for spoofing attack detection. Mamba is well-suited for this task as it can capture the artifacts in spoofed speech signals by handling long-length sequences. However, Mamba's performance may suffer when it is trained with limited labeled data. To mitigate this, we propo","authors_text":"Rohan Kumar Das, Yang Xiao","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-11-15T08:13:51Z","title":"XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.10027","kind":"arxiv","version":2},"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:cf9ca76c578c4cae9cdc5dbe9c9c527fccd2e9fbfdb3b267e349109f42e7fe10","target":"record","created_at":"2026-07-05T10:22:09Z","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":"06e85f2d3d4c9cd9ac77f95c62e976aa86189b2fba9ebd43d6ee4dd5048589c5","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2024-11-15T08:13:51Z","title_canon_sha256":"f37f804f1a9caeb5e474080db629de716c64f012c9076c5c4e1b4badd5dbf0d3"},"schema_version":"1.0","source":{"id":"2411.10027","kind":"arxiv","version":2}},"canonical_sha256":"b58f69d71faeaceefdee34f7c73d61cb6f660f349d3030565cd4eb4dfa21c484","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b58f69d71faeaceefdee34f7c73d61cb6f660f349d3030565cd4eb4dfa21c484","first_computed_at":"2026-07-05T10:22:09.917853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:22:09.917853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"srQtqnQXA3knye+KrsiBeP40+ZvR+D5XMp+yr73ItPneQPOmy5GI0dRsDtFB8w8bdmP9hlpQgPzxeADBkfPGCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:22:09.918443Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.10027","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf9ca76c578c4cae9cdc5dbe9c9c527fccd2e9fbfdb3b267e349109f42e7fe10","sha256:baf8c94f5979d5edd520640874d1a8bc54bba83054bdfaf8aced7e602a78869e"],"state_sha256":"d0e28c8127c932dc92ec8403b626c15eed6721241ed05f66721aae4c80ede0e1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AcNXp1X0nS2hIzT91OZd5SbTeAa/GLjHF1bEzijp/lFxLElpAadEX+r5icNsea1K2P0C9UYkz/Y11eeSLQJbCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:35:37.426557Z","bundle_sha256":"a8b0ed4d7136141c56900a51ec2ef3b292001902a5d622fae947d4ff0c1c163d"}}