{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:42UHATZWMERTTQALRGWVLDKSM3","short_pith_number":"pith:42UHATZW","canonical_record":{"source":{"id":"2410.16135","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T16:00:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a214b7a9dcf9103b387e57efb7652590bd527e27c8de6143ccad6b95b978c582","abstract_canon_sha256":"47237c989fd1e16148be3d97c9c69f2ad74fdaaa015269dec3681b793ee6cba4"},"schema_version":"1.0"},"canonical_sha256":"e6a8704f36612339c00b89ad558d5266c63d9a06b3d176f2f0da96b089c8055f","source":{"kind":"arxiv","id":"2410.16135","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16135","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16135v3","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16135","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"pith_short_12","alias_value":"42UHATZWMERT","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"pith_short_16","alias_value":"42UHATZWMERTTQAL","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"pith_short_8","alias_value":"42UHATZW","created_at":"2026-07-05T11:14:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:42UHATZWMERTTQALRGWVLDKSM3","target":"record","payload":{"canonical_record":{"source":{"id":"2410.16135","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T16:00:04Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a214b7a9dcf9103b387e57efb7652590bd527e27c8de6143ccad6b95b978c582","abstract_canon_sha256":"47237c989fd1e16148be3d97c9c69f2ad74fdaaa015269dec3681b793ee6cba4"},"schema_version":"1.0"},"canonical_sha256":"e6a8704f36612339c00b89ad558d5266c63d9a06b3d176f2f0da96b089c8055f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:25.372410Z","signature_b64":"o4kmsMw5yai1mMgZSjsdNNw90daJ1KO8knNQdMzDkV8PRfJPLqdC9qybJRJr6UOKvUgvVDRrlftymWCYYjRnDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6a8704f36612339c00b89ad558d5266c63d9a06b3d176f2f0da96b089c8055f","last_reissued_at":"2026-07-05T11:14:25.371982Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:25.371982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.16135","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:14:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QHVR88mHCtLRKtiywvEKMYvVEHXiwxXYDxVnrjUNdRiCmfjgLHlQ61Ugq6viZ2NYo1QObpDo+W/c8+N8Gk3gAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:30:25.799332Z"},"content_sha256":"b9496073ab5097d1467305c7cd8bba7d1cf30cead59f25798ade7dc9105fce1f","schema_version":"1.0","event_id":"sha256:b9496073ab5097d1467305c7cd8bba7d1cf30cead59f25798ade7dc9105fce1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:42UHATZWMERTTQALRGWVLDKSM3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Chang Gao, Han Bao, Jianfei Chen, Kang Zhao, Liping Jing, Tao Yuan, Zhaofeng Sun, Zhenfeng Su, Zichen Liang","submitted_at":"2024-10-21T16:00:04Z","abstract_excerpt":"To date, 2:4 sparsity has stood as the only sparse pattern that can be accelerated using sparse tensor cores on GPUs. In practice, 2:4 sparsity often possesses low actual speedups ($\\leq 1.3$) and requires fixed sparse ratios, meaning that other ratios, such as 4:8, 8:16, or those exceeding 50% sparsity, do not incur any speedups on GPUs. Recent studies suggest that V:N:M sparsity is promising in addressing these limitations of 2:4 sparsity. However, regarding accuracy, the effects of V:N:M sparsity on broader Transformer models, such as vision Transformers and large language models (LLMs), ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16135","kind":"arxiv","version":3},"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/2410.16135/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":"2026-07-05T11:14:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y8qlEoSPK7l7inc3ThsPUtf4cLBeKOL93mywrT2n/auOwBM5f/Y1NIu/mwudsULqDKa4mAULAcv/stA9PFHfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T15:30:25.799940Z"},"content_sha256":"9e0e0cb20acdf072ad7ad0042d4893aafcf92594e667316fc1e1a3c9d2c69438","schema_version":"1.0","event_id":"sha256:9e0e0cb20acdf072ad7ad0042d4893aafcf92594e667316fc1e1a3c9d2c69438"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/42UHATZWMERTTQALRGWVLDKSM3/bundle.json","state_url":"https://pith.science/pith/42UHATZWMERTTQALRGWVLDKSM3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/42UHATZWMERTTQALRGWVLDKSM3/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":"2026-08-06T15:30:25Z","links":{"resolver":"https://pith.science/pith/42UHATZWMERTTQALRGWVLDKSM3","bundle":"https://pith.science/pith/42UHATZWMERTTQALRGWVLDKSM3/bundle.json","state":"https://pith.science/pith/42UHATZWMERTTQALRGWVLDKSM3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/42UHATZWMERTTQALRGWVLDKSM3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:42UHATZWMERTTQALRGWVLDKSM3","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":"47237c989fd1e16148be3d97c9c69f2ad74fdaaa015269dec3681b793ee6cba4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T16:00:04Z","title_canon_sha256":"a214b7a9dcf9103b387e57efb7652590bd527e27c8de6143ccad6b95b978c582"},"schema_version":"1.0","source":{"id":"2410.16135","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.16135","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"arxiv_version","alias_value":"2410.16135v3","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.16135","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"pith_short_12","alias_value":"42UHATZWMERT","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"pith_short_16","alias_value":"42UHATZWMERTTQAL","created_at":"2026-07-05T11:14:25Z"},{"alias_kind":"pith_short_8","alias_value":"42UHATZW","created_at":"2026-07-05T11:14:25Z"}],"graph_snapshots":[{"event_id":"sha256:9e0e0cb20acdf072ad7ad0042d4893aafcf92594e667316fc1e1a3c9d2c69438","target":"graph","created_at":"2026-07-05T11:14:25Z","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/2410.16135/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"To date, 2:4 sparsity has stood as the only sparse pattern that can be accelerated using sparse tensor cores on GPUs. In practice, 2:4 sparsity often possesses low actual speedups ($\\leq 1.3$) and requires fixed sparse ratios, meaning that other ratios, such as 4:8, 8:16, or those exceeding 50% sparsity, do not incur any speedups on GPUs. Recent studies suggest that V:N:M sparsity is promising in addressing these limitations of 2:4 sparsity. However, regarding accuracy, the effects of V:N:M sparsity on broader Transformer models, such as vision Transformers and large language models (LLMs), ar","authors_text":"Chang Gao, Han Bao, Jianfei Chen, Kang Zhao, Liping Jing, Tao Yuan, Zhaofeng Sun, Zhenfeng Su, Zichen Liang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T16:00:04Z","title":"Beyond 2:4: exploring V:N:M sparsity for efficient transformer inference on GPUs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.16135","kind":"arxiv","version":3},"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:b9496073ab5097d1467305c7cd8bba7d1cf30cead59f25798ade7dc9105fce1f","target":"record","created_at":"2026-07-05T11:14:25Z","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":"47237c989fd1e16148be3d97c9c69f2ad74fdaaa015269dec3681b793ee6cba4","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2024-10-21T16:00:04Z","title_canon_sha256":"a214b7a9dcf9103b387e57efb7652590bd527e27c8de6143ccad6b95b978c582"},"schema_version":"1.0","source":{"id":"2410.16135","kind":"arxiv","version":3}},"canonical_sha256":"e6a8704f36612339c00b89ad558d5266c63d9a06b3d176f2f0da96b089c8055f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6a8704f36612339c00b89ad558d5266c63d9a06b3d176f2f0da96b089c8055f","first_computed_at":"2026-07-05T11:14:25.371982Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:25.371982Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"o4kmsMw5yai1mMgZSjsdNNw90daJ1KO8knNQdMzDkV8PRfJPLqdC9qybJRJr6UOKvUgvVDRrlftymWCYYjRnDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:25.372410Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.16135","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b9496073ab5097d1467305c7cd8bba7d1cf30cead59f25798ade7dc9105fce1f","sha256:9e0e0cb20acdf072ad7ad0042d4893aafcf92594e667316fc1e1a3c9d2c69438"],"state_sha256":"ff406bba9b08fa7b577903135bafa112631cf7a177afc4629694160237d7fed2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"449pYuNc0S2VjLYLlcV207MPEEguq3E2OHzH5XV93RWboQXxtqo6RwueikNuHQowAKTEiY3b63KtXKs0RZR1Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T15:30:25.805444Z","bundle_sha256":"e7a55483e46da0ec4b6ee5d420e45e5158715ef90cc4a9e29fd402c5ab8fd699"}}