{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:6OVZVIRAZND3AMPBR6D66BBUMT","short_pith_number":"pith:6OVZVIRA","canonical_record":{"source":{"id":"2405.14978","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-23T18:27:19Z","cross_cats_sorted":["cs.AR","eess.IV"],"title_canon_sha256":"9542619af7c0371197348b6d448f3d857805cd7a632a8e973f44535d59a1e2ec","abstract_canon_sha256":"bb18aed4f7b6a6cd758ba452ded1adb393363cb340992917a85171fb390b462d"},"schema_version":"1.0"},"canonical_sha256":"f3ab9aa220cb47b031e18f87ef043464fba4566ae1894abb97010b417a920abe","source":{"kind":"arxiv","id":"2405.14978","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14978","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14978v1","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14978","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"pith_short_12","alias_value":"6OVZVIRAZND3","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"pith_short_16","alias_value":"6OVZVIRAZND3AMPB","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"pith_short_8","alias_value":"6OVZVIRA","created_at":"2026-07-05T08:22:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:6OVZVIRAZND3AMPBR6D66BBUMT","target":"record","payload":{"canonical_record":{"source":{"id":"2405.14978","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-23T18:27:19Z","cross_cats_sorted":["cs.AR","eess.IV"],"title_canon_sha256":"9542619af7c0371197348b6d448f3d857805cd7a632a8e973f44535d59a1e2ec","abstract_canon_sha256":"bb18aed4f7b6a6cd758ba452ded1adb393363cb340992917a85171fb390b462d"},"schema_version":"1.0"},"canonical_sha256":"f3ab9aa220cb47b031e18f87ef043464fba4566ae1894abb97010b417a920abe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:43.433131Z","signature_b64":"LsHCI/Nr2IOpMb6IeEACjQFhV7Fhy33gOHVkXVekXX32CvEL+jaDoPv8M6+9p6KtGjoeUCQvy57wZ7028UhuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3ab9aa220cb47b031e18f87ef043464fba4566ae1894abb97010b417a920abe","last_reissued_at":"2026-07-05T08:22:43.432800Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:43.432800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.14978","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":"2026-07-05T08:22:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TshM7f9fHXIy1lmk4oq/37mjauCIis9JL9BYC0oRe7WHrynv+9rvsMJi6trudsbY9QNrPJjdyMPwclJzxMd9Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:57:44.142935Z"},"content_sha256":"baf45a1905d5e9c8078eba237792c819cf7c197d8ac29979b64b20337a721921","schema_version":"1.0","event_id":"sha256:baf45a1905d5e9c8078eba237792c819cf7c197d8ac29979b64b20337a721921"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:6OVZVIRAZND3AMPBR6D66BBUMT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR","eess.IV"],"primary_cat":"eess.SP","authors_text":"Jiacong Sun, Marian Verhelst, Pouya Houshmand","submitted_at":"2024-05-23T18:27:19Z","abstract_excerpt":"In-Memory Computing (IMC) has emerged as a promising paradigm for energy-efficient, throughput-efficient and area-efficient machine learning at the edge. However, the differences in hardware architectures, array dimensions, and fabrication technologies among published IMC realizations have made it difficult to grasp their relative strengths. Moreover, previous studies have primarily focused on exploring and benchmarking the peak performance of a single IMC macro rather than full system performance on real workloads. This paper aims to address the lack of a quantitative comparison of Analog In-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14978","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/2405.14978/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":"2026-07-05T08:22:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ePFHghdKXhFbM9j3xcd1xV6yfK67EZ/z+jQot9NIRDOvcOevvRb6I428g70CU95+rpiBLTEq7yYAwu9USWsJAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T19:57:44.143438Z"},"content_sha256":"27245ec026ad84240b539ec9879be316147f2f3d5106b939d871a0f57feed7f1","schema_version":"1.0","event_id":"sha256:27245ec026ad84240b539ec9879be316147f2f3d5106b939d871a0f57feed7f1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6OVZVIRAZND3AMPBR6D66BBUMT/bundle.json","state_url":"https://pith.science/pith/6OVZVIRAZND3AMPBR6D66BBUMT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6OVZVIRAZND3AMPBR6D66BBUMT/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":"2026-08-03T19:57:44Z","links":{"resolver":"https://pith.science/pith/6OVZVIRAZND3AMPBR6D66BBUMT","bundle":"https://pith.science/pith/6OVZVIRAZND3AMPBR6D66BBUMT/bundle.json","state":"https://pith.science/pith/6OVZVIRAZND3AMPBR6D66BBUMT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6OVZVIRAZND3AMPBR6D66BBUMT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:6OVZVIRAZND3AMPBR6D66BBUMT","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":"bb18aed4f7b6a6cd758ba452ded1adb393363cb340992917a85171fb390b462d","cross_cats_sorted":["cs.AR","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-23T18:27:19Z","title_canon_sha256":"9542619af7c0371197348b6d448f3d857805cd7a632a8e973f44535d59a1e2ec"},"schema_version":"1.0","source":{"id":"2405.14978","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.14978","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"arxiv_version","alias_value":"2405.14978v1","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14978","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"pith_short_12","alias_value":"6OVZVIRAZND3","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"pith_short_16","alias_value":"6OVZVIRAZND3AMPB","created_at":"2026-07-05T08:22:43Z"},{"alias_kind":"pith_short_8","alias_value":"6OVZVIRA","created_at":"2026-07-05T08:22:43Z"}],"graph_snapshots":[{"event_id":"sha256:27245ec026ad84240b539ec9879be316147f2f3d5106b939d871a0f57feed7f1","target":"graph","created_at":"2026-07-05T08:22:43Z","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/2405.14978/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-Memory Computing (IMC) has emerged as a promising paradigm for energy-efficient, throughput-efficient and area-efficient machine learning at the edge. However, the differences in hardware architectures, array dimensions, and fabrication technologies among published IMC realizations have made it difficult to grasp their relative strengths. Moreover, previous studies have primarily focused on exploring and benchmarking the peak performance of a single IMC macro rather than full system performance on real workloads. This paper aims to address the lack of a quantitative comparison of Analog In-","authors_text":"Jiacong Sun, Marian Verhelst, Pouya Houshmand","cross_cats":["cs.AR","eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-23T18:27:19Z","title":"Analog or Digital In-memory Computing? Benchmarking through Quantitative Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14978","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:baf45a1905d5e9c8078eba237792c819cf7c197d8ac29979b64b20337a721921","target":"record","created_at":"2026-07-05T08:22:43Z","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":"bb18aed4f7b6a6cd758ba452ded1adb393363cb340992917a85171fb390b462d","cross_cats_sorted":["cs.AR","eess.IV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-05-23T18:27:19Z","title_canon_sha256":"9542619af7c0371197348b6d448f3d857805cd7a632a8e973f44535d59a1e2ec"},"schema_version":"1.0","source":{"id":"2405.14978","kind":"arxiv","version":1}},"canonical_sha256":"f3ab9aa220cb47b031e18f87ef043464fba4566ae1894abb97010b417a920abe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3ab9aa220cb47b031e18f87ef043464fba4566ae1894abb97010b417a920abe","first_computed_at":"2026-07-05T08:22:43.432800Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:22:43.432800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LsHCI/Nr2IOpMb6IeEACjQFhV7Fhy33gOHVkXVekXX32CvEL+jaDoPv8M6+9p6KtGjoeUCQvy57wZ7028UhuAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:22:43.433131Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.14978","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baf45a1905d5e9c8078eba237792c819cf7c197d8ac29979b64b20337a721921","sha256:27245ec026ad84240b539ec9879be316147f2f3d5106b939d871a0f57feed7f1"],"state_sha256":"69f1b8b8672fbf512d60da4a588aac4aecdd912886d38088e4db3ed56b803e03"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kiHNvSDthbCmoENr7Yg03cHTaDCYtIDuuapjBYLRGlPvOjz5Kf5pXGpwfZBSib0bQFVx1pxCKUnCuq9cK3F0Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T19:57:44.146772Z","bundle_sha256":"cb3e2573a2302205bb5a9d6b2fd73e52cc5c85b37706da5ebf5da0844a960b1a"}}