{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:6JBLPSCA2R3WBGVCSTWXXUJWEL","short_pith_number":"pith:6JBLPSCA","canonical_record":{"source":{"id":"2305.18335","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-05-25T10:54:09Z","cross_cats_sorted":["eess.IV","eess.SP"],"title_canon_sha256":"5e7e441ea40c43cea34f8b24d525b59f101a68f6688061cefff628ce046155aa","abstract_canon_sha256":"cd1f88f3f9215ac1574be79c015e6689d57c1899ada8ad8b70f2aa115c7fb35e"},"schema_version":"1.0"},"canonical_sha256":"f242b7c840d477609aa294ed7bd13622df1fd54a22641cab6c0eced62eb42bb0","source":{"kind":"arxiv","id":"2305.18335","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18335","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18335v1","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18335","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"pith_short_12","alias_value":"6JBLPSCA2R3W","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"pith_short_16","alias_value":"6JBLPSCA2R3WBGVC","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"pith_short_8","alias_value":"6JBLPSCA","created_at":"2026-07-05T06:14:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:6JBLPSCA2R3WBGVCSTWXXUJWEL","target":"record","payload":{"canonical_record":{"source":{"id":"2305.18335","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-05-25T10:54:09Z","cross_cats_sorted":["eess.IV","eess.SP"],"title_canon_sha256":"5e7e441ea40c43cea34f8b24d525b59f101a68f6688061cefff628ce046155aa","abstract_canon_sha256":"cd1f88f3f9215ac1574be79c015e6689d57c1899ada8ad8b70f2aa115c7fb35e"},"schema_version":"1.0"},"canonical_sha256":"f242b7c840d477609aa294ed7bd13622df1fd54a22641cab6c0eced62eb42bb0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:14:59.768396Z","signature_b64":"H2yxhHY2O/v8xsUnhVBEzYGj/HsHRVG7ROZ7yzAag81YfsO/tN18Oaxjw+kzGZp8l49SPoXSG2B73Ac4KdqVCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f242b7c840d477609aa294ed7bd13622df1fd54a22641cab6c0eced62eb42bb0","last_reissued_at":"2026-07-05T06:14:59.768011Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:14:59.768011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.18335","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":"2026-07-05T06:14:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B2vsOzxi+904gG5nabm05gTRK9jkrog5s1lrDRNnGJ9zYPrke2WdU1/HXZQlED6Nv446UCkIcdYJmqIZKQBpDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:12:19.356277Z"},"content_sha256":"79036824953de26482e73fe03ce4e49332a7d46db4f8f771d3fe4834b7f8af67","schema_version":"1.0","event_id":"sha256:79036824953de26482e73fe03ce4e49332a7d46db4f8f771d3fe4834b7f8af67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:6JBLPSCA2R3WBGVCSTWXXUJWEL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Benchmarking and modeling of analog and digital SRAM in-memory computing architectures","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV","eess.SP"],"primary_cat":"cs.AR","authors_text":"Jiacong Sun, Marian Verhelst, Pouya Houshmand","submitted_at":"2023-05-25T10:54:09Z","abstract_excerpt":"In-memory-computing is emerging as an efficient hardware paradigm for deep neural network accelerators at the edge, enabling to break the memory wall and exploit massive computational parallelism. Two design models have surged: analog in-memory-computing (AIMC) and digital in-memory-computing (DIMC), offering a different design space in terms of accuracy, efficiency and dataflow flexibility. This paper targets the fair comparison and benchmarking of both approaches to guide future designs, through a.) an overview of published architectures; b.) an analytical cost model for energy and throughpu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18335","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/2305.18335/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":"2026-07-05T06:14:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xhe5tsfwz4dryMXxk/8PESmHp/iGiIn7VFVa+4J2F07SvybtAxX23xP4xDMoLWVqcEzJeN4fnZkAuKFirTX4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:12:19.356783Z"},"content_sha256":"2c788f581dcbfe31cb51f35bc504bfe54c57b16818accbeb53f528bec82a6454","schema_version":"1.0","event_id":"sha256:2c788f581dcbfe31cb51f35bc504bfe54c57b16818accbeb53f528bec82a6454"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL/bundle.json","state_url":"https://pith.science/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL/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":"2026-08-20T02:12:19Z","links":{"resolver":"https://pith.science/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL","bundle":"https://pith.science/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL/bundle.json","state":"https://pith.science/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6JBLPSCA2R3WBGVCSTWXXUJWEL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:6JBLPSCA2R3WBGVCSTWXXUJWEL","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":"cd1f88f3f9215ac1574be79c015e6689d57c1899ada8ad8b70f2aa115c7fb35e","cross_cats_sorted":["eess.IV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-05-25T10:54:09Z","title_canon_sha256":"5e7e441ea40c43cea34f8b24d525b59f101a68f6688061cefff628ce046155aa"},"schema_version":"1.0","source":{"id":"2305.18335","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18335","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18335v1","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18335","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"pith_short_12","alias_value":"6JBLPSCA2R3W","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"pith_short_16","alias_value":"6JBLPSCA2R3WBGVC","created_at":"2026-07-05T06:14:59Z"},{"alias_kind":"pith_short_8","alias_value":"6JBLPSCA","created_at":"2026-07-05T06:14:59Z"}],"graph_snapshots":[{"event_id":"sha256:2c788f581dcbfe31cb51f35bc504bfe54c57b16818accbeb53f528bec82a6454","target":"graph","created_at":"2026-07-05T06:14:59Z","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/2305.18335/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-memory-computing is emerging as an efficient hardware paradigm for deep neural network accelerators at the edge, enabling to break the memory wall and exploit massive computational parallelism. Two design models have surged: analog in-memory-computing (AIMC) and digital in-memory-computing (DIMC), offering a different design space in terms of accuracy, efficiency and dataflow flexibility. This paper targets the fair comparison and benchmarking of both approaches to guide future designs, through a.) an overview of published architectures; b.) an analytical cost model for energy and throughpu","authors_text":"Jiacong Sun, Marian Verhelst, Pouya Houshmand","cross_cats":["eess.IV","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-05-25T10:54:09Z","title":"Benchmarking and modeling of analog and digital SRAM in-memory computing architectures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18335","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":"sha256:79036824953de26482e73fe03ce4e49332a7d46db4f8f771d3fe4834b7f8af67","target":"record","created_at":"2026-07-05T06:14:59Z","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":"cd1f88f3f9215ac1574be79c015e6689d57c1899ada8ad8b70f2aa115c7fb35e","cross_cats_sorted":["eess.IV","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2023-05-25T10:54:09Z","title_canon_sha256":"5e7e441ea40c43cea34f8b24d525b59f101a68f6688061cefff628ce046155aa"},"schema_version":"1.0","source":{"id":"2305.18335","kind":"arxiv","version":1}},"canonical_sha256":"f242b7c840d477609aa294ed7bd13622df1fd54a22641cab6c0eced62eb42bb0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f242b7c840d477609aa294ed7bd13622df1fd54a22641cab6c0eced62eb42bb0","first_computed_at":"2026-07-05T06:14:59.768011Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:59.768011Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H2yxhHY2O/v8xsUnhVBEzYGj/HsHRVG7ROZ7yzAag81YfsO/tN18Oaxjw+kzGZp8l49SPoXSG2B73Ac4KdqVCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:59.768396Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.18335","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79036824953de26482e73fe03ce4e49332a7d46db4f8f771d3fe4834b7f8af67","sha256:2c788f581dcbfe31cb51f35bc504bfe54c57b16818accbeb53f528bec82a6454"],"state_sha256":"94dbb313c5515b8e7b52e6ef18ab6774904463cc3363117b77b6c52f8477ba69"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CULwGyDzxFnoCn1Nh/5xvH8KMqaibRs1BDWAztWqY0NDscYgkxrbNvdbPXdJaju98OTjGCc1YmP9WbjPKS0cDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T02:12:19.361357Z","bundle_sha256":"8c7c023735275ce4da7ffe5f2925140e1760d6257256123ac7a9d0a633bc2e92"}}