{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JBOAHQVIPQ67QQYERJ6YCHJ732","short_pith_number":"pith:JBOAHQVI","canonical_record":{"source":{"id":"2507.06179","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-08T17:00:05Z","cross_cats_sorted":[],"title_canon_sha256":"9775949b689c33b1b1ba94c242833d0d53c1ae83f17b150e6fb1d3cbea75a826","abstract_canon_sha256":"7d9f7abd32a4fcb5db40a969cb5a08c14628a7311984f3ddf41c36364091487a"},"schema_version":"1.0"},"canonical_sha256":"485c03c2a87c3df843048a7d811d3fdead5d7694a0f595a799a7193572b31983","source":{"kind":"arxiv","id":"2507.06179","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06179","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06179v1","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06179","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"pith_short_12","alias_value":"JBOAHQVIPQ67","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"pith_short_16","alias_value":"JBOAHQVIPQ67QQYE","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"pith_short_8","alias_value":"JBOAHQVI","created_at":"2026-07-05T11:33:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JBOAHQVIPQ67QQYERJ6YCHJ732","target":"record","payload":{"canonical_record":{"source":{"id":"2507.06179","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-08T17:00:05Z","cross_cats_sorted":[],"title_canon_sha256":"9775949b689c33b1b1ba94c242833d0d53c1ae83f17b150e6fb1d3cbea75a826","abstract_canon_sha256":"7d9f7abd32a4fcb5db40a969cb5a08c14628a7311984f3ddf41c36364091487a"},"schema_version":"1.0"},"canonical_sha256":"485c03c2a87c3df843048a7d811d3fdead5d7694a0f595a799a7193572b31983","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:33:53.377898Z","signature_b64":"CO+yBUr+DigBjwViFH9OSwKmJ8quE6HQwO+Jl8bNXGpTmVCRUbWhyzKs+LD8Va6pAiXzMSOX7OBXYGQDynxGDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"485c03c2a87c3df843048a7d811d3fdead5d7694a0f595a799a7193572b31983","last_reissued_at":"2026-07-05T11:33:53.377528Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:33:53.377528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.06179","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":"2026-07-05T11:33:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AhPdSw65J1OR5BDA8RQEis9udTbuGaoVCLAPh/Zo1NXEIY6lfafqPEryDI7beOsix3LzZdRkvMQBoXLzTjg4Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:22:34.595635Z"},"content_sha256":"5a096359c630a883f912345b76797957275d3eee2f079bb26e9d41928b1aa3dd","schema_version":"1.0","event_id":"sha256:5a096359c630a883f912345b76797957275d3eee2f079bb26e9d41928b1aa3dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JBOAHQVIPQ67QQYERJ6YCHJ732","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic Slimmable Networks for Efficient Speech Separation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.AS","authors_text":"Emanu\\\"el A. P. Habets, Mohamed Elminshawi, Srikanth Raj Chetupalli","submitted_at":"2025-07-08T17:00:05Z","abstract_excerpt":"Recent progress in speech separation has been largely driven by advances in deep neural networks, yet their high computational and memory requirements hinder deployment on resource-constrained devices. A significant inefficiency in conventional systems arises from using static network architectures that maintain constant computational complexity across all input segments, regardless of their characteristics. This approach is sub-optimal for simpler segments that do not require intensive processing, such as silence or non-overlapping speech. To address this limitation, we propose a dynamic slim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06179","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/2507.06179/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":"2026-07-05T11:33:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o5M8KTjvdB17POKmzyjg7rVfrLuwR87bTvEQlfmbbfWqEH9cqju1bbpU8/FDgvE1SZfz+or8BF2g+3ku9ECACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:22:34.596124Z"},"content_sha256":"531c883dd5986d0ce6be9c374c5ac40c28d4ea84eea88413feeb140093515426","schema_version":"1.0","event_id":"sha256:531c883dd5986d0ce6be9c374c5ac40c28d4ea84eea88413feeb140093515426"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JBOAHQVIPQ67QQYERJ6YCHJ732/bundle.json","state_url":"https://pith.science/pith/JBOAHQVIPQ67QQYERJ6YCHJ732/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JBOAHQVIPQ67QQYERJ6YCHJ732/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":"2026-08-05T13:22:34Z","links":{"resolver":"https://pith.science/pith/JBOAHQVIPQ67QQYERJ6YCHJ732","bundle":"https://pith.science/pith/JBOAHQVIPQ67QQYERJ6YCHJ732/bundle.json","state":"https://pith.science/pith/JBOAHQVIPQ67QQYERJ6YCHJ732/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JBOAHQVIPQ67QQYERJ6YCHJ732/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JBOAHQVIPQ67QQYERJ6YCHJ732","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":"7d9f7abd32a4fcb5db40a969cb5a08c14628a7311984f3ddf41c36364091487a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-08T17:00:05Z","title_canon_sha256":"9775949b689c33b1b1ba94c242833d0d53c1ae83f17b150e6fb1d3cbea75a826"},"schema_version":"1.0","source":{"id":"2507.06179","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.06179","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"arxiv_version","alias_value":"2507.06179v1","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.06179","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"pith_short_12","alias_value":"JBOAHQVIPQ67","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"pith_short_16","alias_value":"JBOAHQVIPQ67QQYE","created_at":"2026-07-05T11:33:53Z"},{"alias_kind":"pith_short_8","alias_value":"JBOAHQVI","created_at":"2026-07-05T11:33:53Z"}],"graph_snapshots":[{"event_id":"sha256:531c883dd5986d0ce6be9c374c5ac40c28d4ea84eea88413feeb140093515426","target":"graph","created_at":"2026-07-05T11:33:53Z","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/2507.06179/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent progress in speech separation has been largely driven by advances in deep neural networks, yet their high computational and memory requirements hinder deployment on resource-constrained devices. A significant inefficiency in conventional systems arises from using static network architectures that maintain constant computational complexity across all input segments, regardless of their characteristics. This approach is sub-optimal for simpler segments that do not require intensive processing, such as silence or non-overlapping speech. To address this limitation, we propose a dynamic slim","authors_text":"Emanu\\\"el A. P. Habets, Mohamed Elminshawi, Srikanth Raj Chetupalli","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-08T17:00:05Z","title":"Dynamic Slimmable Networks for Efficient Speech Separation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.06179","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":"sha256:5a096359c630a883f912345b76797957275d3eee2f079bb26e9d41928b1aa3dd","target":"record","created_at":"2026-07-05T11:33:53Z","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":"7d9f7abd32a4fcb5db40a969cb5a08c14628a7311984f3ddf41c36364091487a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2025-07-08T17:00:05Z","title_canon_sha256":"9775949b689c33b1b1ba94c242833d0d53c1ae83f17b150e6fb1d3cbea75a826"},"schema_version":"1.0","source":{"id":"2507.06179","kind":"arxiv","version":1}},"canonical_sha256":"485c03c2a87c3df843048a7d811d3fdead5d7694a0f595a799a7193572b31983","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"485c03c2a87c3df843048a7d811d3fdead5d7694a0f595a799a7193572b31983","first_computed_at":"2026-07-05T11:33:53.377528Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:33:53.377528Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CO+yBUr+DigBjwViFH9OSwKmJ8quE6HQwO+Jl8bNXGpTmVCRUbWhyzKs+LD8Va6pAiXzMSOX7OBXYGQDynxGDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:33:53.377898Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.06179","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a096359c630a883f912345b76797957275d3eee2f079bb26e9d41928b1aa3dd","sha256:531c883dd5986d0ce6be9c374c5ac40c28d4ea84eea88413feeb140093515426"],"state_sha256":"2772ffbad61d70970aa2d725e3443205ec57f10bec98530b62a167dfda8a3388"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b5sJpmwl5eKJKEIxsJf9S60UcHNE7kfjYVFdlx3UkAR/pr9qGMYjODH4LrSJsoNptGueKkEIvct5/4moWzYfBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T13:22:34.600764Z","bundle_sha256":"2593b7312bef98f9b4cf8c3a2ea266d60ce2361253e6faaedee56800917960b9"}}