{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:23EEEAY75FTS5T3CHVX2FGG4NJ","short_pith_number":"pith:23EEEAY7","canonical_record":{"source":{"id":"2111.11744","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2021-11-23T09:32:54Z","cross_cats_sorted":[],"title_canon_sha256":"ca17786f089d8af62dace8846c6c52569856399b6cc579860b81da8c500fb9d1","abstract_canon_sha256":"c2ada35fd74a284e2b1eb3c99b0db6710b7a92d79f2ef77acf34922dcb24ecce"},"schema_version":"1.0"},"canonical_sha256":"d6c842031fe9672ecf623d6fa298dc6a773974e58bb2502668bb6374f96ebdc9","source":{"kind":"arxiv","id":"2111.11744","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.11744","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"arxiv_version","alias_value":"2111.11744v2","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11744","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"pith_short_12","alias_value":"23EEEAY75FTS","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"pith_short_16","alias_value":"23EEEAY75FTS5T3C","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"pith_short_8","alias_value":"23EEEAY7","created_at":"2026-07-05T03:40:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:23EEEAY75FTS5T3CHVX2FGG4NJ","target":"record","payload":{"canonical_record":{"source":{"id":"2111.11744","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2021-11-23T09:32:54Z","cross_cats_sorted":[],"title_canon_sha256":"ca17786f089d8af62dace8846c6c52569856399b6cc579860b81da8c500fb9d1","abstract_canon_sha256":"c2ada35fd74a284e2b1eb3c99b0db6710b7a92d79f2ef77acf34922dcb24ecce"},"schema_version":"1.0"},"canonical_sha256":"d6c842031fe9672ecf623d6fa298dc6a773974e58bb2502668bb6374f96ebdc9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:40:04.707592Z","signature_b64":"XTXiqyccsHwUIilS1ID9XLnTYwBiLpXrIHe2msCE83hgmOaM1dj8E9cinMRCSc43XgjIxD2hsiyGCer3fUo5CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6c842031fe9672ecf623d6fa298dc6a773974e58bb2502668bb6374f96ebdc9","last_reissued_at":"2026-07-05T03:40:04.707069Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:40:04.707069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.11744","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:40:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qQW/hnnBHa0OX/3kyivRBqa5X7vJKkH5KgoeQCr4urLhKgG+b5q6ct3gDFgHZugqgA5oKULzUyYPi/xNpwxlBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:01:12.041173Z"},"content_sha256":"5757e5fc86b250637e6c37bc023a488c471a38a121ca9509ab58e597165096e7","schema_version":"1.0","event_id":"sha256:5757e5fc86b250637e6c37bc023a488c471a38a121ca9509ab58e597165096e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:23EEEAY75FTS5T3CHVX2FGG4NJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AR","authors_text":"Jiayi Liu, Kaining Zhou, Kejie Huang, Rui Xiao, Yangshuo He","submitted_at":"2021-11-23T09:32:54Z","abstract_excerpt":"The ever-increasing computation complexity of fastgrowing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann computing architectures. The emerging Computing-In-Memory (CIM) architecture has been a promising candidate to accelerate neural network computing. However, data movement between CIM arrays may still dominate the total power consumption in conventional designs. This paper proposes a flexible CIM processor architecture named Domino and \"Computing-On-the-Move\" (COM) dataflow, to enable stream computing and local data a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11744","kind":"arxiv","version":2},"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/2111.11744/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":"2026-07-05T03:40:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tSWQ6WOQc9989G6ARGQBBq/MSkRLN8VbuWAXDz5leaxsNerCfgfKCZTAxDrGpuMVLYtMMikJVgoEMLnbcoB8CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T19:01:12.041900Z"},"content_sha256":"73f3d473817d44c1bc47c476b03845ac8cbb472d30a7c39feb204e4aec3b3852","schema_version":"1.0","event_id":"sha256:73f3d473817d44c1bc47c476b03845ac8cbb472d30a7c39feb204e4aec3b3852"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/23EEEAY75FTS5T3CHVX2FGG4NJ/bundle.json","state_url":"https://pith.science/pith/23EEEAY75FTS5T3CHVX2FGG4NJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/23EEEAY75FTS5T3CHVX2FGG4NJ/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":"2026-08-04T19:01:12Z","links":{"resolver":"https://pith.science/pith/23EEEAY75FTS5T3CHVX2FGG4NJ","bundle":"https://pith.science/pith/23EEEAY75FTS5T3CHVX2FGG4NJ/bundle.json","state":"https://pith.science/pith/23EEEAY75FTS5T3CHVX2FGG4NJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/23EEEAY75FTS5T3CHVX2FGG4NJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:23EEEAY75FTS5T3CHVX2FGG4NJ","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":"c2ada35fd74a284e2b1eb3c99b0db6710b7a92d79f2ef77acf34922dcb24ecce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2021-11-23T09:32:54Z","title_canon_sha256":"ca17786f089d8af62dace8846c6c52569856399b6cc579860b81da8c500fb9d1"},"schema_version":"1.0","source":{"id":"2111.11744","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.11744","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"arxiv_version","alias_value":"2111.11744v2","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.11744","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"pith_short_12","alias_value":"23EEEAY75FTS","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"pith_short_16","alias_value":"23EEEAY75FTS5T3C","created_at":"2026-07-05T03:40:04Z"},{"alias_kind":"pith_short_8","alias_value":"23EEEAY7","created_at":"2026-07-05T03:40:04Z"}],"graph_snapshots":[{"event_id":"sha256:73f3d473817d44c1bc47c476b03845ac8cbb472d30a7c39feb204e4aec3b3852","target":"graph","created_at":"2026-07-05T03:40:04Z","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/2111.11744/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ever-increasing computation complexity of fastgrowing Deep Neural Networks (DNNs) has requested new computing paradigms to overcome the memory wall in conventional Von Neumann computing architectures. The emerging Computing-In-Memory (CIM) architecture has been a promising candidate to accelerate neural network computing. However, data movement between CIM arrays may still dominate the total power consumption in conventional designs. This paper proposes a flexible CIM processor architecture named Domino and \"Computing-On-the-Move\" (COM) dataflow, to enable stream computing and local data a","authors_text":"Jiayi Liu, Kaining Zhou, Kejie Huang, Rui Xiao, Yangshuo He","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2021-11-23T09:32:54Z","title":"A Customized NoC Architecture to Enable Highly Localized Computing-On-the-Move DNN Dataflow"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.11744","kind":"arxiv","version":2},"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":"sha256:5757e5fc86b250637e6c37bc023a488c471a38a121ca9509ab58e597165096e7","target":"record","created_at":"2026-07-05T03:40:04Z","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":"c2ada35fd74a284e2b1eb3c99b0db6710b7a92d79f2ef77acf34922dcb24ecce","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2021-11-23T09:32:54Z","title_canon_sha256":"ca17786f089d8af62dace8846c6c52569856399b6cc579860b81da8c500fb9d1"},"schema_version":"1.0","source":{"id":"2111.11744","kind":"arxiv","version":2}},"canonical_sha256":"d6c842031fe9672ecf623d6fa298dc6a773974e58bb2502668bb6374f96ebdc9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6c842031fe9672ecf623d6fa298dc6a773974e58bb2502668bb6374f96ebdc9","first_computed_at":"2026-07-05T03:40:04.707069Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:40:04.707069Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XTXiqyccsHwUIilS1ID9XLnTYwBiLpXrIHe2msCE83hgmOaM1dj8E9cinMRCSc43XgjIxD2hsiyGCer3fUo5CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:40:04.707592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.11744","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5757e5fc86b250637e6c37bc023a488c471a38a121ca9509ab58e597165096e7","sha256:73f3d473817d44c1bc47c476b03845ac8cbb472d30a7c39feb204e4aec3b3852"],"state_sha256":"8fe766d2da534c5b25fbe590f0cb152db4475c03cbf6605dd531d94c4d2404c5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2iOW00VNiJrjx1PJVZ3kBeWirEwbc9/6WLE32MB0sLKESP18ZpSLjf5KwhH0TWgtXJkZWSKos5yDcUrQqoh9Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T19:01:12.047368Z","bundle_sha256":"f76b7be366689e4c9e3b61957c9d02d37bff319afa210a8b2d96a5eae98905df"}}