{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DWN6TIQEQ2YHI3RQRSJMRWVJ2Z","short_pith_number":"pith:DWN6TIQE","canonical_record":{"source":{"id":"2404.06047","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-09T06:16:42Z","cross_cats_sorted":[],"title_canon_sha256":"36913b93c35fba69ea4ecac976c4f8855717ab3645680919c89431093b71dae8","abstract_canon_sha256":"7281388cd445f2322b271dedb1f7fbc2406fcfc4637fcb87f1aa826339bd520b"},"schema_version":"1.0"},"canonical_sha256":"1d9be9a20486b0746e308c92c8daa9d642b274dc861de6be4e4173ce57e7e4ce","source":{"kind":"arxiv","id":"2404.06047","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06047","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06047v1","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06047","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"pith_short_12","alias_value":"DWN6TIQEQ2YH","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"pith_short_16","alias_value":"DWN6TIQEQ2YHI3RQ","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"pith_short_8","alias_value":"DWN6TIQE","created_at":"2026-07-05T08:06:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DWN6TIQEQ2YHI3RQRSJMRWVJ2Z","target":"record","payload":{"canonical_record":{"source":{"id":"2404.06047","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-09T06:16:42Z","cross_cats_sorted":[],"title_canon_sha256":"36913b93c35fba69ea4ecac976c4f8855717ab3645680919c89431093b71dae8","abstract_canon_sha256":"7281388cd445f2322b271dedb1f7fbc2406fcfc4637fcb87f1aa826339bd520b"},"schema_version":"1.0"},"canonical_sha256":"1d9be9a20486b0746e308c92c8daa9d642b274dc861de6be4e4173ce57e7e4ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:06:03.011950Z","signature_b64":"RRO+nbiMFhe2xlGEeXUQH5Pbuaci4pYwizi7rY3Fs+8+SqhhF4kYDlO1bPhMgzu3C0csJ6vk5afYOrKZCI0nBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d9be9a20486b0746e308c92c8daa9d642b274dc861de6be4e4173ce57e7e4ce","last_reissued_at":"2026-07-05T08:06:03.011413Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:06:03.011413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.06047","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":"2026-07-05T08:06:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T16kCNmYs8IR4JRIZSimYhMONju0N4GZwahBG8DSANbTGixwzN4MFH4mqXHrQG0iyj9Jrv5zpeazzc40g/GUAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:44:04.297224Z"},"content_sha256":"cdedca1f9b5fa91fc3df552e29ff674f7c8d0a2dcd8df137ad494f6df4935dbf","schema_version":"1.0","event_id":"sha256:cdedca1f9b5fa91fc3df552e29ff674f7c8d0a2dcd8df137ad494f6df4935dbf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DWN6TIQEQ2YHI3RQRSJMRWVJ2Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Systematic Literature Survey of Sparse Matrix-Vector Multiplication","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Bingjie Liu, Hua Huang, Jianhua Gao, Weixing Ji","submitted_at":"2024-04-09T06:16:42Z","abstract_excerpt":"Sparse matrix-vector multiplication (SpMV) is a crucial computing kernel with widespread applications in iterative algorithms. Over the past decades, research on SpMV optimization has made remarkable strides, giving rise to various optimization contributions. However, the comprehensive and systematic literature survey that introduces, analyzes, discusses, and summarizes the advancements of SpMV in recent years is currently lacking. Aiming to fill this gap, this paper compares existing techniques and analyzes their strengths and weaknesses. We begin by highlighting two representative applicatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06047","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/2404.06047/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":"2026-07-05T08:06:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RL+vGdReMyQ74BNvSd96t45zcaOLJT4cMsG91aPPf0hQ7FbKiiZgzYyaLsnvb4v783Yvt4VJFnW93YSj+xxaBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T07:44:04.297742Z"},"content_sha256":"c2aa8185abea73294da5631e06e8f402212d34efdd3b9d5a6fde3a8f598e1d9e","schema_version":"1.0","event_id":"sha256:c2aa8185abea73294da5631e06e8f402212d34efdd3b9d5a6fde3a8f598e1d9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z/bundle.json","state_url":"https://pith.science/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z/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":"2026-08-12T07:44:04Z","links":{"resolver":"https://pith.science/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z","bundle":"https://pith.science/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z/bundle.json","state":"https://pith.science/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DWN6TIQEQ2YHI3RQRSJMRWVJ2Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DWN6TIQEQ2YHI3RQRSJMRWVJ2Z","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":"7281388cd445f2322b271dedb1f7fbc2406fcfc4637fcb87f1aa826339bd520b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-09T06:16:42Z","title_canon_sha256":"36913b93c35fba69ea4ecac976c4f8855717ab3645680919c89431093b71dae8"},"schema_version":"1.0","source":{"id":"2404.06047","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.06047","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"arxiv_version","alias_value":"2404.06047v1","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.06047","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"pith_short_12","alias_value":"DWN6TIQEQ2YH","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"pith_short_16","alias_value":"DWN6TIQEQ2YHI3RQ","created_at":"2026-07-05T08:06:03Z"},{"alias_kind":"pith_short_8","alias_value":"DWN6TIQE","created_at":"2026-07-05T08:06:03Z"}],"graph_snapshots":[{"event_id":"sha256:c2aa8185abea73294da5631e06e8f402212d34efdd3b9d5a6fde3a8f598e1d9e","target":"graph","created_at":"2026-07-05T08:06:03Z","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/2404.06047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sparse matrix-vector multiplication (SpMV) is a crucial computing kernel with widespread applications in iterative algorithms. Over the past decades, research on SpMV optimization has made remarkable strides, giving rise to various optimization contributions. However, the comprehensive and systematic literature survey that introduces, analyzes, discusses, and summarizes the advancements of SpMV in recent years is currently lacking. Aiming to fill this gap, this paper compares existing techniques and analyzes their strengths and weaknesses. We begin by highlighting two representative applicatio","authors_text":"Bingjie Liu, Hua Huang, Jianhua Gao, Weixing Ji","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-09T06:16:42Z","title":"A Systematic Literature Survey of Sparse Matrix-Vector Multiplication"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.06047","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:cdedca1f9b5fa91fc3df552e29ff674f7c8d0a2dcd8df137ad494f6df4935dbf","target":"record","created_at":"2026-07-05T08:06:03Z","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":"7281388cd445f2322b271dedb1f7fbc2406fcfc4637fcb87f1aa826339bd520b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-04-09T06:16:42Z","title_canon_sha256":"36913b93c35fba69ea4ecac976c4f8855717ab3645680919c89431093b71dae8"},"schema_version":"1.0","source":{"id":"2404.06047","kind":"arxiv","version":1}},"canonical_sha256":"1d9be9a20486b0746e308c92c8daa9d642b274dc861de6be4e4173ce57e7e4ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d9be9a20486b0746e308c92c8daa9d642b274dc861de6be4e4173ce57e7e4ce","first_computed_at":"2026-07-05T08:06:03.011413Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:06:03.011413Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RRO+nbiMFhe2xlGEeXUQH5Pbuaci4pYwizi7rY3Fs+8+SqhhF4kYDlO1bPhMgzu3C0csJ6vk5afYOrKZCI0nBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:06:03.011950Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.06047","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdedca1f9b5fa91fc3df552e29ff674f7c8d0a2dcd8df137ad494f6df4935dbf","sha256:c2aa8185abea73294da5631e06e8f402212d34efdd3b9d5a6fde3a8f598e1d9e"],"state_sha256":"7fab99e17efddc0d1860fbfe02c61899af6badba400cf9b29394e4215aa83ee3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yB1e9RUC7sitxyc8oemZPmyiUSFGv/UBoHRqcptLFBq/qWPdFhMgGZDTD0ffQ15SCwblzsebxDLB0rYOcPehBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T07:44:04.302763Z","bundle_sha256":"a7f3b5041bc8874df5fea213fd50284fb81f83d60c73c82693227e654bbfc26e"}}