{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:O6RBKHVBES64RUJY72BT56I2SG","short_pith_number":"pith:O6RBKHVB","canonical_record":{"source":{"id":"2001.00138","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-01-01T04:52:07Z","cross_cats_sorted":["cs.CV","cs.DC"],"title_canon_sha256":"ecd8e3ea8d9cb3291a40d51cf39c99b1a0704928f66630ab7709cf6369378516","abstract_canon_sha256":"bcf8352c0fe3c3635d7228e868337dd085034ef571703768f22a25f0d3ac1cfb"},"schema_version":"1.0"},"canonical_sha256":"77a2151ea124bdc8d138fe833ef91a919221a306b1a428f85773baf5dd6c5740","source":{"kind":"arxiv","id":"2001.00138","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.00138","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"arxiv_version","alias_value":"2001.00138v4","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.00138","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"pith_short_12","alias_value":"O6RBKHVBES64","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"pith_short_16","alias_value":"O6RBKHVBES64RUJY","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"pith_short_8","alias_value":"O6RBKHVB","created_at":"2026-07-05T00:35:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:O6RBKHVBES64RUJY72BT56I2SG","target":"record","payload":{"canonical_record":{"source":{"id":"2001.00138","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-01-01T04:52:07Z","cross_cats_sorted":["cs.CV","cs.DC"],"title_canon_sha256":"ecd8e3ea8d9cb3291a40d51cf39c99b1a0704928f66630ab7709cf6369378516","abstract_canon_sha256":"bcf8352c0fe3c3635d7228e868337dd085034ef571703768f22a25f0d3ac1cfb"},"schema_version":"1.0"},"canonical_sha256":"77a2151ea124bdc8d138fe833ef91a919221a306b1a428f85773baf5dd6c5740","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:35:03.588022Z","signature_b64":"TeXHTOZd/tzxUpx9ENZ7aSVc0cFxUTFr89O+fiiuVrDvvPA7Y9AvcTrHUPZ+bp+9NSDNSNy02WJKlvG6HJgUBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77a2151ea124bdc8d138fe833ef91a919221a306b1a428f85773baf5dd6c5740","last_reissued_at":"2026-07-05T00:35:03.587519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:35:03.587519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2001.00138","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T00:35:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9K76avV7vHqY8jeWXFFG3rZ2M5COQ9S0sP7QE9IrtlxHTt7dmStXB+S63k3CX8igjGlTVNGQcs5Er3i8b3K7Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:46:25.434314Z"},"content_sha256":"ab50dd62d10bdb3ef14d6dd68ac8bf8136f4c0c77ef70c56bff787ea60ffb47f","schema_version":"1.0","event_id":"sha256:ab50dd62d10bdb3ef14d6dd68ac8bf8136f4c0c77ef70c56bff787ea60ffb47f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:O6RBKHVBES64RUJY72BT56I2SG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.DC"],"primary_cat":"cs.LG","authors_text":"Bin Ren, Sheng Lin, Shihao Wang, Wei Niu, Xiaolong Ma, Xuehai Qian, Xue Lin, Yanzhi Wang","submitted_at":"2020-01-01T04:52:07Z","abstract_excerpt":"With the emergence of a spectrum of high-end mobile devices, many applications that formerly required desktop-level computation capability are being transferred to these devices. However, executing the inference of Deep Neural Networks (DNNs) is still challenging considering high computation and storage demands, specifically, if real-time performance with high accuracy is needed. Weight pruning of DNNs is proposed, but existing schemes represent two extremes in the design space: non-structured pruning is fine-grained, accurate, but not hardware friendly; structured pruning is coarse-grained, h"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.00138","kind":"arxiv","version":4},"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/2001.00138/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":"2026-07-05T00:35:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1LUo83dqidUFO+Lrl9Kb/iJGhFMkcAkRGQXJzh0ZLa+6iFV/3lWczZlM00XXrX7fkl4QCFROQLTySZ4GcW0TBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:46:25.434653Z"},"content_sha256":"30d95a558c7844fffe1f735f3dcdfc1b0fe089238d9943f228789e2a70c6c706","schema_version":"1.0","event_id":"sha256:30d95a558c7844fffe1f735f3dcdfc1b0fe089238d9943f228789e2a70c6c706"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/O6RBKHVBES64RUJY72BT56I2SG/bundle.json","state_url":"https://pith.science/pith/O6RBKHVBES64RUJY72BT56I2SG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/O6RBKHVBES64RUJY72BT56I2SG/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":"2026-08-06T14:46:25Z","links":{"resolver":"https://pith.science/pith/O6RBKHVBES64RUJY72BT56I2SG","bundle":"https://pith.science/pith/O6RBKHVBES64RUJY72BT56I2SG/bundle.json","state":"https://pith.science/pith/O6RBKHVBES64RUJY72BT56I2SG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/O6RBKHVBES64RUJY72BT56I2SG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:O6RBKHVBES64RUJY72BT56I2SG","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":"bcf8352c0fe3c3635d7228e868337dd085034ef571703768f22a25f0d3ac1cfb","cross_cats_sorted":["cs.CV","cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-01-01T04:52:07Z","title_canon_sha256":"ecd8e3ea8d9cb3291a40d51cf39c99b1a0704928f66630ab7709cf6369378516"},"schema_version":"1.0","source":{"id":"2001.00138","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2001.00138","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"arxiv_version","alias_value":"2001.00138v4","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2001.00138","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"pith_short_12","alias_value":"O6RBKHVBES64","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"pith_short_16","alias_value":"O6RBKHVBES64RUJY","created_at":"2026-07-05T00:35:03Z"},{"alias_kind":"pith_short_8","alias_value":"O6RBKHVB","created_at":"2026-07-05T00:35:03Z"}],"graph_snapshots":[{"event_id":"sha256:30d95a558c7844fffe1f735f3dcdfc1b0fe089238d9943f228789e2a70c6c706","target":"graph","created_at":"2026-07-05T00:35:03Z","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/2001.00138/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the emergence of a spectrum of high-end mobile devices, many applications that formerly required desktop-level computation capability are being transferred to these devices. However, executing the inference of Deep Neural Networks (DNNs) is still challenging considering high computation and storage demands, specifically, if real-time performance with high accuracy is needed. Weight pruning of DNNs is proposed, but existing schemes represent two extremes in the design space: non-structured pruning is fine-grained, accurate, but not hardware friendly; structured pruning is coarse-grained, h","authors_text":"Bin Ren, Sheng Lin, Shihao Wang, Wei Niu, Xiaolong Ma, Xuehai Qian, Xue Lin, Yanzhi Wang","cross_cats":["cs.CV","cs.DC"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-01-01T04:52:07Z","title":"PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2001.00138","kind":"arxiv","version":4},"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:ab50dd62d10bdb3ef14d6dd68ac8bf8136f4c0c77ef70c56bff787ea60ffb47f","target":"record","created_at":"2026-07-05T00:35:03Z","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":"bcf8352c0fe3c3635d7228e868337dd085034ef571703768f22a25f0d3ac1cfb","cross_cats_sorted":["cs.CV","cs.DC"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-01-01T04:52:07Z","title_canon_sha256":"ecd8e3ea8d9cb3291a40d51cf39c99b1a0704928f66630ab7709cf6369378516"},"schema_version":"1.0","source":{"id":"2001.00138","kind":"arxiv","version":4}},"canonical_sha256":"77a2151ea124bdc8d138fe833ef91a919221a306b1a428f85773baf5dd6c5740","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"77a2151ea124bdc8d138fe833ef91a919221a306b1a428f85773baf5dd6c5740","first_computed_at":"2026-07-05T00:35:03.587519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:35:03.587519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TeXHTOZd/tzxUpx9ENZ7aSVc0cFxUTFr89O+fiiuVrDvvPA7Y9AvcTrHUPZ+bp+9NSDNSNy02WJKlvG6HJgUBw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:35:03.588022Z","signed_message":"canonical_sha256_bytes"},"source_id":"2001.00138","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab50dd62d10bdb3ef14d6dd68ac8bf8136f4c0c77ef70c56bff787ea60ffb47f","sha256:30d95a558c7844fffe1f735f3dcdfc1b0fe089238d9943f228789e2a70c6c706"],"state_sha256":"d16b53917577804fee286739912ceccfe1501a62c89671b6d773d940876b37a0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AXAMKuS/RgQXMSfcaWk5DcbPpjbY5Q66hyU6gK7yCo4ptMXnJn6hUbqx7I1FGAb147sQhAOMSPNlJvUWwnPmAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T14:46:25.437985Z","bundle_sha256":"d95585d256f286011f27d69bce9bf42fce482cb729253d02788de923f2f43afc"}}