{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:TSPNBZTZLQIOWMROWU5JOYF6GR","short_pith_number":"pith:TSPNBZTZ","canonical_record":{"source":{"id":"2002.04997","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-11T12:49:21Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"f021f999e198dc7a5a871470f7d096cb403fc8fd4df7efdd11309fc9edbb0302","abstract_canon_sha256":"1b865ea75e1e1a10934b88be9bebdd17c0ed904416a0e9025a74a56ca112188a"},"schema_version":"1.0"},"canonical_sha256":"9c9ed0e6795c10eb322eb53a9760be3478500b271a065dc775e2555e59e6c5be","source":{"kind":"arxiv","id":"2002.04997","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.04997","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"arxiv_version","alias_value":"2002.04997v2","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.04997","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_12","alias_value":"TSPNBZTZLQIO","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_16","alias_value":"TSPNBZTZLQIOWMRO","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_8","alias_value":"TSPNBZTZ","created_at":"2026-07-05T01:10:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:TSPNBZTZLQIOWMROWU5JOYF6GR","target":"record","payload":{"canonical_record":{"source":{"id":"2002.04997","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-11T12:49:21Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"f021f999e198dc7a5a871470f7d096cb403fc8fd4df7efdd11309fc9edbb0302","abstract_canon_sha256":"1b865ea75e1e1a10934b88be9bebdd17c0ed904416a0e9025a74a56ca112188a"},"schema_version":"1.0"},"canonical_sha256":"9c9ed0e6795c10eb322eb53a9760be3478500b271a065dc775e2555e59e6c5be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:10:14.101302Z","signature_b64":"uufk98AWjrpDvhVflw0nMxzFbHrQyEI2f6BE2eBYf+GKZxRpJ0ST1YfwRzP718umktoU2EOnCl4XKkkQM/apCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9c9ed0e6795c10eb322eb53a9760be3478500b271a065dc775e2555e59e6c5be","last_reissued_at":"2026-07-05T01:10:14.100830Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:10:14.100830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.04997","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":"2026-07-05T01:10:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s/umPs3vlEBooQ5sp3w1XCzAA+t+5ZHxRo21BJ8XvkrQjn39ODYG/tLT+yFgxrJWvicTLjDFiiNw4dih2+q9Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:46:57.470117Z"},"content_sha256":"d3d55c7f56723ee31aa210fadb1f2ff0d5407a330c745dcb5951d4c1fd34c189","schema_version":"1.0","event_id":"sha256:d3d55c7f56723ee31aa210fadb1f2ff0d5407a330c745dcb5951d4c1fd34c189"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:TSPNBZTZLQIOWMROWU5JOYF6GR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Dehui Li, Hongyang Chen, Jiebo Song, Kaisheng Ma, Shaokai Ye, Sia-Huat Tan, Xiaolong Ma, Yanzhi Wang, Yifu Wu, Yuanqing Miao, Zhanhong Tan","submitted_at":"2020-02-11T12:49:21Z","abstract_excerpt":"Weight pruning is a powerful technique to realize model compression. We propose PCNN, a fine-grained regular 1D pruning method. A novel index format called Sparsity Pattern Mask (SPM) is presented to encode the sparsity in PCNN. Leveraging SPM with limited pruning patterns and non-zero sequences with equal length, PCNN can be efficiently employed in hardware. Evaluated on VGG-16 and ResNet-18, our PCNN achieves the compression rate up to 8.4X with only 0.2% accuracy loss. We also implement a pattern-aware architecture in 55nm process, achieving up to 9.0X speedup and 28.39 TOPS/W efficiency wi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.04997","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/2002.04997/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":"2026-07-05T01:10:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V0/50T0jxcHwcDTj5Xzq525SNmP4stAYNpGBeQ6IKg98BXgYODr6ts63vJA+EFSoqUla+iaK5deQ6ietBWGnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:46:57.470718Z"},"content_sha256":"acc8e5be9ea119ebe1484aaa16ef9b3b72a38a050a5a06fb42a9611698643005","schema_version":"1.0","event_id":"sha256:acc8e5be9ea119ebe1484aaa16ef9b3b72a38a050a5a06fb42a9611698643005"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TSPNBZTZLQIOWMROWU5JOYF6GR/bundle.json","state_url":"https://pith.science/pith/TSPNBZTZLQIOWMROWU5JOYF6GR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TSPNBZTZLQIOWMROWU5JOYF6GR/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":"2026-08-06T14:46:57Z","links":{"resolver":"https://pith.science/pith/TSPNBZTZLQIOWMROWU5JOYF6GR","bundle":"https://pith.science/pith/TSPNBZTZLQIOWMROWU5JOYF6GR/bundle.json","state":"https://pith.science/pith/TSPNBZTZLQIOWMROWU5JOYF6GR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TSPNBZTZLQIOWMROWU5JOYF6GR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:TSPNBZTZLQIOWMROWU5JOYF6GR","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":"1b865ea75e1e1a10934b88be9bebdd17c0ed904416a0e9025a74a56ca112188a","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-11T12:49:21Z","title_canon_sha256":"f021f999e198dc7a5a871470f7d096cb403fc8fd4df7efdd11309fc9edbb0302"},"schema_version":"1.0","source":{"id":"2002.04997","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.04997","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"arxiv_version","alias_value":"2002.04997v2","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.04997","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_12","alias_value":"TSPNBZTZLQIO","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_16","alias_value":"TSPNBZTZLQIOWMRO","created_at":"2026-07-05T01:10:14Z"},{"alias_kind":"pith_short_8","alias_value":"TSPNBZTZ","created_at":"2026-07-05T01:10:14Z"}],"graph_snapshots":[{"event_id":"sha256:acc8e5be9ea119ebe1484aaa16ef9b3b72a38a050a5a06fb42a9611698643005","target":"graph","created_at":"2026-07-05T01:10:14Z","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/2002.04997/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weight pruning is a powerful technique to realize model compression. We propose PCNN, a fine-grained regular 1D pruning method. A novel index format called Sparsity Pattern Mask (SPM) is presented to encode the sparsity in PCNN. Leveraging SPM with limited pruning patterns and non-zero sequences with equal length, PCNN can be efficiently employed in hardware. Evaluated on VGG-16 and ResNet-18, our PCNN achieves the compression rate up to 8.4X with only 0.2% accuracy loss. We also implement a pattern-aware architecture in 55nm process, achieving up to 9.0X speedup and 28.39 TOPS/W efficiency wi","authors_text":"Dehui Li, Hongyang Chen, Jiebo Song, Kaisheng Ma, Shaokai Ye, Sia-Huat Tan, Xiaolong Ma, Yanzhi Wang, Yifu Wu, Yuanqing Miao, Zhanhong Tan","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-11T12:49:21Z","title":"PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.04997","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:d3d55c7f56723ee31aa210fadb1f2ff0d5407a330c745dcb5951d4c1fd34c189","target":"record","created_at":"2026-07-05T01:10:14Z","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":"1b865ea75e1e1a10934b88be9bebdd17c0ed904416a0e9025a74a56ca112188a","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-11T12:49:21Z","title_canon_sha256":"f021f999e198dc7a5a871470f7d096cb403fc8fd4df7efdd11309fc9edbb0302"},"schema_version":"1.0","source":{"id":"2002.04997","kind":"arxiv","version":2}},"canonical_sha256":"9c9ed0e6795c10eb322eb53a9760be3478500b271a065dc775e2555e59e6c5be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9c9ed0e6795c10eb322eb53a9760be3478500b271a065dc775e2555e59e6c5be","first_computed_at":"2026-07-05T01:10:14.100830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:10:14.100830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uufk98AWjrpDvhVflw0nMxzFbHrQyEI2f6BE2eBYf+GKZxRpJ0ST1YfwRzP718umktoU2EOnCl4XKkkQM/apCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:10:14.101302Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.04997","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d3d55c7f56723ee31aa210fadb1f2ff0d5407a330c745dcb5951d4c1fd34c189","sha256:acc8e5be9ea119ebe1484aaa16ef9b3b72a38a050a5a06fb42a9611698643005"],"state_sha256":"201248f572d60ac0193ed3ccd3826f96aa9f977505e8eacb917aae0194090687"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p8pTrJnfzc9u83G9A5PRrbRu3AYZGOLKsTnDxOEEVE4UlMi9xN3dknd6RkzV8EdL1Mkkn2BQPThh7JF8v8TbCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T14:46:57.478776Z","bundle_sha256":"ac0028ac45f0cc880575bc328a4cca222c13b084c11399bd4903190e512d47b4"}}