{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:KNLNOL7P2A37UAIFOHO77JJ3VB","short_pith_number":"pith:KNLNOL7P","canonical_record":{"source":{"id":"2207.11529","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-23T14:37:39Z","cross_cats_sorted":["cs.AI","cs.LG","cs.SD"],"title_canon_sha256":"c40612fa4b03436058903001fb9d9a3ffe1faa4aaf121f953b242ac807ef16ba","abstract_canon_sha256":"1b2dd84059978ac8c32a0f89c5235d69eed81039d504c74d974d953d9ef5e174"},"schema_version":"1.0"},"canonical_sha256":"5356d72fefd037fa010571ddffa53ba8670d6d419eb0de81f190f718285995f1","source":{"kind":"arxiv","id":"2207.11529","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11529","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11529v1","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11529","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_12","alias_value":"KNLNOL7P2A37","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_16","alias_value":"KNLNOL7P2A37UAIF","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_8","alias_value":"KNLNOL7P","created_at":"2026-07-05T04:43:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:KNLNOL7P2A37UAIFOHO77JJ3VB","target":"record","payload":{"canonical_record":{"source":{"id":"2207.11529","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-23T14:37:39Z","cross_cats_sorted":["cs.AI","cs.LG","cs.SD"],"title_canon_sha256":"c40612fa4b03436058903001fb9d9a3ffe1faa4aaf121f953b242ac807ef16ba","abstract_canon_sha256":"1b2dd84059978ac8c32a0f89c5235d69eed81039d504c74d974d953d9ef5e174"},"schema_version":"1.0"},"canonical_sha256":"5356d72fefd037fa010571ddffa53ba8670d6d419eb0de81f190f718285995f1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:43:06.421364Z","signature_b64":"rN1D0hyg5gGG5mOYfA1IB+cBT789Z6Yh8OV12lq+3eugG8w1JRjfeNf5opt+q5TSLfXGfJIWtTfrM19adDSzDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5356d72fefd037fa010571ddffa53ba8670d6d419eb0de81f190f718285995f1","last_reissued_at":"2026-07-05T04:43:06.420923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:43:06.420923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.11529","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":"2026-07-05T04:43:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I9bqw9CqdWORKlfWYVIE8Rd8wuosqHUBVMMjCyqX2nXXeb43Wnp4+ZAD6OUHi5KyFUOeNHxIQYjWhcSA4Os2Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:08:32.916078Z"},"content_sha256":"e12794c6520f6c67a16f2a280e6debe2e7fb4f8a4d1cc6e28425240bc0efab07","schema_version":"1.0","event_id":"sha256:e12794c6520f6c67a16f2a280e6debe2e7fb4f8a4d1cc6e28425240bc0efab07"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:KNLNOL7P2A37UAIFOHO77JJ3VB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Low-complexity CNNs for Acoustic Scene Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG","cs.SD"],"primary_cat":"eess.AS","authors_text":"Arshdeep Singh, Mark D. Plumbley","submitted_at":"2022-07-23T14:37:39Z","abstract_excerpt":"This paper presents a low-complexity framework for acoustic scene classification (ASC). Most of the frameworks designed for ASC use convolutional neural networks (CNNs) due to their learning ability and improved performance compared to hand-engineered features. However, CNNs are resource hungry due to their large size and high computational complexity. Therefore, CNNs are difficult to deploy on resource constrained devices. This paper addresses the problem of reducing the computational complexity and memory requirement in CNNs. We propose a low-complexity CNN architecture, and apply pruning an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11529","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/2207.11529/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":"2026-07-05T04:43:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xAvXRXPRQd9FEvKh7qlGBwVeYDgFy83MWU1A+oRAI6agIWBwRJ37cPBfjKUU02gW935C/5hcUFlYWR1DhM1lAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T01:08:32.916613Z"},"content_sha256":"e633d99a58845b52328e7cb997cd102606c0e378bb72bc805194671c26133c75","schema_version":"1.0","event_id":"sha256:e633d99a58845b52328e7cb997cd102606c0e378bb72bc805194671c26133c75"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KNLNOL7P2A37UAIFOHO77JJ3VB/bundle.json","state_url":"https://pith.science/pith/KNLNOL7P2A37UAIFOHO77JJ3VB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KNLNOL7P2A37UAIFOHO77JJ3VB/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":"2026-08-04T01:08:32Z","links":{"resolver":"https://pith.science/pith/KNLNOL7P2A37UAIFOHO77JJ3VB","bundle":"https://pith.science/pith/KNLNOL7P2A37UAIFOHO77JJ3VB/bundle.json","state":"https://pith.science/pith/KNLNOL7P2A37UAIFOHO77JJ3VB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KNLNOL7P2A37UAIFOHO77JJ3VB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:KNLNOL7P2A37UAIFOHO77JJ3VB","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":"1b2dd84059978ac8c32a0f89c5235d69eed81039d504c74d974d953d9ef5e174","cross_cats_sorted":["cs.AI","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-23T14:37:39Z","title_canon_sha256":"c40612fa4b03436058903001fb9d9a3ffe1faa4aaf121f953b242ac807ef16ba"},"schema_version":"1.0","source":{"id":"2207.11529","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.11529","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"arxiv_version","alias_value":"2207.11529v1","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.11529","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_12","alias_value":"KNLNOL7P2A37","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_16","alias_value":"KNLNOL7P2A37UAIF","created_at":"2026-07-05T04:43:06Z"},{"alias_kind":"pith_short_8","alias_value":"KNLNOL7P","created_at":"2026-07-05T04:43:06Z"}],"graph_snapshots":[{"event_id":"sha256:e633d99a58845b52328e7cb997cd102606c0e378bb72bc805194671c26133c75","target":"graph","created_at":"2026-07-05T04:43:06Z","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/2207.11529/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a low-complexity framework for acoustic scene classification (ASC). Most of the frameworks designed for ASC use convolutional neural networks (CNNs) due to their learning ability and improved performance compared to hand-engineered features. However, CNNs are resource hungry due to their large size and high computational complexity. Therefore, CNNs are difficult to deploy on resource constrained devices. This paper addresses the problem of reducing the computational complexity and memory requirement in CNNs. We propose a low-complexity CNN architecture, and apply pruning an","authors_text":"Arshdeep Singh, Mark D. Plumbley","cross_cats":["cs.AI","cs.LG","cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-23T14:37:39Z","title":"Low-complexity CNNs for Acoustic Scene Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.11529","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:e12794c6520f6c67a16f2a280e6debe2e7fb4f8a4d1cc6e28425240bc0efab07","target":"record","created_at":"2026-07-05T04:43:06Z","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":"1b2dd84059978ac8c32a0f89c5235d69eed81039d504c74d974d953d9ef5e174","cross_cats_sorted":["cs.AI","cs.LG","cs.SD"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.AS","submitted_at":"2022-07-23T14:37:39Z","title_canon_sha256":"c40612fa4b03436058903001fb9d9a3ffe1faa4aaf121f953b242ac807ef16ba"},"schema_version":"1.0","source":{"id":"2207.11529","kind":"arxiv","version":1}},"canonical_sha256":"5356d72fefd037fa010571ddffa53ba8670d6d419eb0de81f190f718285995f1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5356d72fefd037fa010571ddffa53ba8670d6d419eb0de81f190f718285995f1","first_computed_at":"2026-07-05T04:43:06.420923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:43:06.420923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rN1D0hyg5gGG5mOYfA1IB+cBT789Z6Yh8OV12lq+3eugG8w1JRjfeNf5opt+q5TSLfXGfJIWtTfrM19adDSzDg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:43:06.421364Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.11529","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e12794c6520f6c67a16f2a280e6debe2e7fb4f8a4d1cc6e28425240bc0efab07","sha256:e633d99a58845b52328e7cb997cd102606c0e378bb72bc805194671c26133c75"],"state_sha256":"e87f3c5f31c5dc56776ad2a160869561bb7381691d691bed6758cee9f93871fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"amnTDm9uN6o89XhlNsVU3TX36TwZNNblKtb8kFU5uVDuRLEv9jI5ip6uIKER7RxukkblSllWN0fVaUB3nqFcCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T01:08:32.923693Z","bundle_sha256":"76708bd5bf6ec45cea56d99c12320cd4bf4f2a13eddc47ee1e3734b75536a950"}}