{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WBDQCDEQ3FO4QQWOP42KBDTYFQ","short_pith_number":"pith:WBDQCDEQ","canonical_record":{"source":{"id":"2412.05327","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-12-04T12:22:52Z","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"title_canon_sha256":"fd39af2eb023a77de313b0ebcb36797f369fc371568c3aca55e07786e4f9c9c6","abstract_canon_sha256":"afc8210f869783e349a545083318f8ad63f1457fb6839bf11083ffe07ef6ead7"},"schema_version":"1.0"},"canonical_sha256":"b047010c90d95dc842ce7f34a08e782c1202960a841d6761b2f9bc0e7474b79e","source":{"kind":"arxiv","id":"2412.05327","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05327","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05327v1","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05327","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_12","alias_value":"WBDQCDEQ3FO4","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_16","alias_value":"WBDQCDEQ3FO4QQWO","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_8","alias_value":"WBDQCDEQ","created_at":"2026-07-05T09:46:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WBDQCDEQ3FO4QQWOP42KBDTYFQ","target":"record","payload":{"canonical_record":{"source":{"id":"2412.05327","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-12-04T12:22:52Z","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"title_canon_sha256":"fd39af2eb023a77de313b0ebcb36797f369fc371568c3aca55e07786e4f9c9c6","abstract_canon_sha256":"afc8210f869783e349a545083318f8ad63f1457fb6839bf11083ffe07ef6ead7"},"schema_version":"1.0"},"canonical_sha256":"b047010c90d95dc842ce7f34a08e782c1202960a841d6761b2f9bc0e7474b79e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:46:01.595720Z","signature_b64":"Llv/TxdroiTN9f6GceGYOlOMEqjegYOdc4LTKTwfX5IB3FZOy2BkZkENx63TGQiz5+FKLBnwPqbNZji1xq7ODw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b047010c90d95dc842ce7f34a08e782c1202960a841d6761b2f9bc0e7474b79e","last_reissued_at":"2026-07-05T09:46:01.595286Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:46:01.595286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.05327","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":"2026-07-05T09:46:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uxA2OjhMFJ4iNUZiWJUY0F6Hrj0ftTKAo8YE7MBlHB1nESX5RezpUCU7cLLaFfTBzQDMMtFPdmXaVdV4EKSKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:14:55.721531Z"},"content_sha256":"1f14003224f2437623d4b5fad0fe38a1f0e604d8ab2d864c72e94a66ab139ecf","schema_version":"1.0","event_id":"sha256:1f14003224f2437623d4b5fad0fe38a1f0e604d8ab2d864c72e94a66ab139ecf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WBDQCDEQ3FO4QQWOP42KBDTYFQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.ET","cs.LG"],"primary_cat":"cs.AR","authors_text":"Alex Yakovlev, Farhad Merchant, Omar Ghazal, Rishad Shafik, Shahar Kvatinsky, Wei Wang","submitted_at":"2024-12-04T12:22:52Z","abstract_excerpt":"The increasing demand for processing large volumes of data for machine learning models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerged as a promising solution to address this gap by enabling distributed data storage and processing at the micro-architectural level, significantly reducing both latency and energy. In this paper, we present the IMPACT: InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference, underpinned on a cutting-edge memory device, Y-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05327","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/2412.05327/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":"2026-07-05T09:46:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Gpcw8fRi5ztrvGAYzmWL4PbtkbdCeStossVsmU/VS6Ug/wntT4Cwui1wGVMh9rebM0L5sG+aRhvJOJ6R98i9Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:14:55.722174Z"},"content_sha256":"ddbf61e4dcda0027ae135cd4ac2dcb1d9ae08c5d7fd8d56b99b46912ad23453d","schema_version":"1.0","event_id":"sha256:ddbf61e4dcda0027ae135cd4ac2dcb1d9ae08c5d7fd8d56b99b46912ad23453d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ/bundle.json","state_url":"https://pith.science/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ/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":"2026-07-07T05:14:55Z","links":{"resolver":"https://pith.science/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ","bundle":"https://pith.science/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ/bundle.json","state":"https://pith.science/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WBDQCDEQ3FO4QQWOP42KBDTYFQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WBDQCDEQ3FO4QQWOP42KBDTYFQ","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":"afc8210f869783e349a545083318f8ad63f1457fb6839bf11083ffe07ef6ead7","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-12-04T12:22:52Z","title_canon_sha256":"fd39af2eb023a77de313b0ebcb36797f369fc371568c3aca55e07786e4f9c9c6"},"schema_version":"1.0","source":{"id":"2412.05327","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05327","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05327v1","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05327","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_12","alias_value":"WBDQCDEQ3FO4","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_16","alias_value":"WBDQCDEQ3FO4QQWO","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_8","alias_value":"WBDQCDEQ","created_at":"2026-07-05T09:46:01Z"}],"graph_snapshots":[{"event_id":"sha256:ddbf61e4dcda0027ae135cd4ac2dcb1d9ae08c5d7fd8d56b99b46912ad23453d","target":"graph","created_at":"2026-07-05T09:46:01Z","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/2412.05327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing demand for processing large volumes of data for machine learning models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerged as a promising solution to address this gap by enabling distributed data storage and processing at the micro-architectural level, significantly reducing both latency and energy. In this paper, we present the IMPACT: InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference, underpinned on a cutting-edge memory device, Y-","authors_text":"Alex Yakovlev, Farhad Merchant, Omar Ghazal, Rishad Shafik, Shahar Kvatinsky, Wei Wang","cross_cats":["cs.AI","cs.ET","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-12-04T12:22:52Z","title":"IMPACT:InMemory ComPuting Architecture Based on Y-FlAsh Technology for Coalesced Tsetlin Machine Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05327","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":"sha256:1f14003224f2437623d4b5fad0fe38a1f0e604d8ab2d864c72e94a66ab139ecf","target":"record","created_at":"2026-07-05T09:46:01Z","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":"afc8210f869783e349a545083318f8ad63f1457fb6839bf11083ffe07ef6ead7","cross_cats_sorted":["cs.AI","cs.ET","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AR","submitted_at":"2024-12-04T12:22:52Z","title_canon_sha256":"fd39af2eb023a77de313b0ebcb36797f369fc371568c3aca55e07786e4f9c9c6"},"schema_version":"1.0","source":{"id":"2412.05327","kind":"arxiv","version":1}},"canonical_sha256":"b047010c90d95dc842ce7f34a08e782c1202960a841d6761b2f9bc0e7474b79e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b047010c90d95dc842ce7f34a08e782c1202960a841d6761b2f9bc0e7474b79e","first_computed_at":"2026-07-05T09:46:01.595286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:01.595286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Llv/TxdroiTN9f6GceGYOlOMEqjegYOdc4LTKTwfX5IB3FZOy2BkZkENx63TGQiz5+FKLBnwPqbNZji1xq7ODw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:01.595720Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.05327","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f14003224f2437623d4b5fad0fe38a1f0e604d8ab2d864c72e94a66ab139ecf","sha256:ddbf61e4dcda0027ae135cd4ac2dcb1d9ae08c5d7fd8d56b99b46912ad23453d"],"state_sha256":"094ab7f0ac54e322d456068d52efbd8fe2de92033e0be0b850c73c56c6c82a48"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Decz8eIsHNJSEG5GHU4JmdD0j1hi0ssj+lat3FI7vp6zGgIF8SPn0E5CYkf5E+809LmO+N8IzKKNCBzsUfHECw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:14:55.725453Z","bundle_sha256":"3f97a324a97ccf71cfe5fef61d7d2fbc37c15350b9e90e7df736f1ad0f459046"}}