{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:E2EJAMW7WAVFF2JYFLQ2WWDDLK","short_pith_number":"pith:E2EJAMW7","canonical_record":{"source":{"id":"2310.00496","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-30T21:29:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f5fec5c76b7c412095cbacc413bfd3cce288d67f1a6d097dffac5aca1f0f26e9","abstract_canon_sha256":"4bbc20df0e1d019ec0849b9c5ad4dd601d23b33aabae894b007dd1972f42db5f"},"schema_version":"1.0"},"canonical_sha256":"26889032dfb02a52e9382ae1ab58635a852f342054e053fe66ee16c835df9cb0","source":{"kind":"arxiv","id":"2310.00496","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.00496","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"arxiv_version","alias_value":"2310.00496v2","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.00496","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"pith_short_12","alias_value":"E2EJAMW7WAVF","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"pith_short_16","alias_value":"E2EJAMW7WAVFF2JY","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"pith_short_8","alias_value":"E2EJAMW7","created_at":"2026-07-05T07:09:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:E2EJAMW7WAVFF2JYFLQ2WWDDLK","target":"record","payload":{"canonical_record":{"source":{"id":"2310.00496","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-30T21:29:31Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"f5fec5c76b7c412095cbacc413bfd3cce288d67f1a6d097dffac5aca1f0f26e9","abstract_canon_sha256":"4bbc20df0e1d019ec0849b9c5ad4dd601d23b33aabae894b007dd1972f42db5f"},"schema_version":"1.0"},"canonical_sha256":"26889032dfb02a52e9382ae1ab58635a852f342054e053fe66ee16c835df9cb0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:09:53.058004Z","signature_b64":"Y8b3k1RbCgk4IsRVw/htD5M84aLA2wEWPy++T0CT5xgseEHG0FW9Cw9cVZQkM24yGXL+c61e2Cemp5+mVzq2AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"26889032dfb02a52e9382ae1ab58635a852f342054e053fe66ee16c835df9cb0","last_reissued_at":"2026-07-05T07:09:53.057579Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:09:53.057579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.00496","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":"2026-07-05T07:09:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yIeVPy9pNt02IiEzN0aarfzHJAMpybC9u8SWCJr+43j5BZPoFDzibRewN8wto9hXjtxwcShraa6KaSIy8twgBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T09:13:02.560252Z"},"content_sha256":"05659e6cfdd69b84079ceae4d589eb46c619fa49ab267d0150e2fa57d5200dc5","schema_version":"1.0","event_id":"sha256:05659e6cfdd69b84079ceae4d589eb46c619fa49ab267d0150e2fa57d5200dc5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:E2EJAMW7WAVFF2JYFLQ2WWDDLK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Cameron Shinn, Collin McCarthy, John D. Owens, Muhammad Osama, Saurav Muralidharan","submitted_at":"2023-09-30T21:29:31Z","abstract_excerpt":"We introduce the Sparsity Roofline, a visual performance model for evaluating sparsity in neural networks. The Sparsity Roofline jointly models network accuracy, sparsity, and theoretical inference speedup. Our approach does not require implementing and benchmarking optimized kernels, and the theoretical speedup becomes equal to the actual speedup when the corresponding dense and sparse kernels are well-optimized. We achieve this through a novel analytical model for predicting sparse network performance, and validate the predicted speedup using several real-world computer vision architectures "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.00496","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/2310.00496/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":"2026-07-05T07:09:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"48wQcp3094AGM41HGl64455hXr1JoV+SlQDfGqL4KApCEx2rj9Rqv8p8BH9XIJS8tF8isUMZrGl2xPq7JH79Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T09:13:02.560759Z"},"content_sha256":"b0467a845fa3aa4c812c330ae3a9d2e26ee686b66c7e072c7d4d9f84651358cd","schema_version":"1.0","event_id":"sha256:b0467a845fa3aa4c812c330ae3a9d2e26ee686b66c7e072c7d4d9f84651358cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK/bundle.json","state_url":"https://pith.science/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK/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":"2026-08-11T09:13:02Z","links":{"resolver":"https://pith.science/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK","bundle":"https://pith.science/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK/bundle.json","state":"https://pith.science/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E2EJAMW7WAVFF2JYFLQ2WWDDLK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:E2EJAMW7WAVFF2JYFLQ2WWDDLK","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":"4bbc20df0e1d019ec0849b9c5ad4dd601d23b33aabae894b007dd1972f42db5f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-30T21:29:31Z","title_canon_sha256":"f5fec5c76b7c412095cbacc413bfd3cce288d67f1a6d097dffac5aca1f0f26e9"},"schema_version":"1.0","source":{"id":"2310.00496","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.00496","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"arxiv_version","alias_value":"2310.00496v2","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.00496","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"pith_short_12","alias_value":"E2EJAMW7WAVF","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"pith_short_16","alias_value":"E2EJAMW7WAVFF2JY","created_at":"2026-07-05T07:09:53Z"},{"alias_kind":"pith_short_8","alias_value":"E2EJAMW7","created_at":"2026-07-05T07:09:53Z"}],"graph_snapshots":[{"event_id":"sha256:b0467a845fa3aa4c812c330ae3a9d2e26ee686b66c7e072c7d4d9f84651358cd","target":"graph","created_at":"2026-07-05T07:09:53Z","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/2310.00496/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the Sparsity Roofline, a visual performance model for evaluating sparsity in neural networks. The Sparsity Roofline jointly models network accuracy, sparsity, and theoretical inference speedup. Our approach does not require implementing and benchmarking optimized kernels, and the theoretical speedup becomes equal to the actual speedup when the corresponding dense and sparse kernels are well-optimized. We achieve this through a novel analytical model for predicting sparse network performance, and validate the predicted speedup using several real-world computer vision architectures ","authors_text":"Cameron Shinn, Collin McCarthy, John D. Owens, Muhammad Osama, Saurav Muralidharan","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-30T21:29:31Z","title":"The Sparsity Roofline: Understanding the Hardware Limits of Sparse Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.00496","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":"sha256:05659e6cfdd69b84079ceae4d589eb46c619fa49ab267d0150e2fa57d5200dc5","target":"record","created_at":"2026-07-05T07:09:53Z","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":"4bbc20df0e1d019ec0849b9c5ad4dd601d23b33aabae894b007dd1972f42db5f","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-09-30T21:29:31Z","title_canon_sha256":"f5fec5c76b7c412095cbacc413bfd3cce288d67f1a6d097dffac5aca1f0f26e9"},"schema_version":"1.0","source":{"id":"2310.00496","kind":"arxiv","version":2}},"canonical_sha256":"26889032dfb02a52e9382ae1ab58635a852f342054e053fe66ee16c835df9cb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"26889032dfb02a52e9382ae1ab58635a852f342054e053fe66ee16c835df9cb0","first_computed_at":"2026-07-05T07:09:53.057579Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:09:53.057579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y8b3k1RbCgk4IsRVw/htD5M84aLA2wEWPy++T0CT5xgseEHG0FW9Cw9cVZQkM24yGXL+c61e2Cemp5+mVzq2AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:09:53.058004Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.00496","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:05659e6cfdd69b84079ceae4d589eb46c619fa49ab267d0150e2fa57d5200dc5","sha256:b0467a845fa3aa4c812c330ae3a9d2e26ee686b66c7e072c7d4d9f84651358cd"],"state_sha256":"4e05f487621a7ccec0fa1f4de7c52490177f59e27edb0ce7fb42c1163b52696b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XdL4D4lZQNUJ3XEvYF7Lk01OpnrRcW9RswFmZHhCVWNCw/pL6i8y8RyJZSLJE2dfms6ITNlxlmdJOM4LwHUkBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T09:13:02.565513Z","bundle_sha256":"94f6225acfd306f0573360d51f094a3d7cf7ccfe52f150ac6c987aeb77aff8b1"}}