{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:343JMFHI5BVXWDDFHTP5II26TB","short_pith_number":"pith:343JMFHI","canonical_record":{"source":{"id":"2107.09123","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T19:39:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cc64f0a2e636e024668747c7744764ff660d03c94bc7ee2ea3cc781710872bce","abstract_canon_sha256":"78f6cc6b5a5ddcb243b453662e6c4b5c3e27bae233782ed8fd999910df372693"},"schema_version":"1.0"},"canonical_sha256":"df369614e8e86b7b0c653cdfd4235e9843e9a37afd190dd87c80bc4011ea64c6","source":{"kind":"arxiv","id":"2107.09123","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09123","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09123v1","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09123","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"pith_short_12","alias_value":"343JMFHI5BVX","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"pith_short_16","alias_value":"343JMFHI5BVXWDDF","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"pith_short_8","alias_value":"343JMFHI","created_at":"2026-07-05T03:48:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:343JMFHI5BVXWDDFHTP5II26TB","target":"record","payload":{"canonical_record":{"source":{"id":"2107.09123","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T19:39:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cc64f0a2e636e024668747c7744764ff660d03c94bc7ee2ea3cc781710872bce","abstract_canon_sha256":"78f6cc6b5a5ddcb243b453662e6c4b5c3e27bae233782ed8fd999910df372693"},"schema_version":"1.0"},"canonical_sha256":"df369614e8e86b7b0c653cdfd4235e9843e9a37afd190dd87c80bc4011ea64c6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:48:30.147124Z","signature_b64":"FWzydXjp4qm6wnKk5l0TAJhNWe5xFQX9d7GbAVOJnqIqoCCFaahWn8+2euA8vvXR9gWyWdVsW9UwZ11xmXMMBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df369614e8e86b7b0c653cdfd4235e9843e9a37afd190dd87c80bc4011ea64c6","last_reissued_at":"2026-07-05T03:48:30.146622Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:48:30.146622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.09123","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":"2026-07-05T03:48:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U6+NVCf1mvewQ0bcNa/msQ39weu68pqbv6hh7NPCBvZoQXHX/vLmm0rXRbCsPz9Vpk69qq+CX88hUt+9nWkNCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T05:01:41.104616Z"},"content_sha256":"bc4ed61c1f4eae888d8b315e7330d4c468e0b31650ef1e8d84d8c1dadd25b16f","schema_version":"1.0","event_id":"sha256:bc4ed61c1f4eae888d8b315e7330d4c468e0b31650ef1e8d84d8c1dadd25b16f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:343JMFHI5BVXWDDFHTP5II26TB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Avaneesh, Rajeev Shorey, Rohit Verma, Tanmay Jain","submitted_at":"2021-07-19T19:39:56Z","abstract_excerpt":"With the increasing reliance of users on smart devices, bringing essential computation at the edge has become a crucial requirement for any type of business. Many such computations utilize Convolution Neural Networks (CNNs) to perform AI tasks, having high resource and computation requirements, that are infeasible for edge devices. Splitting the CNN architecture to perform part of the computation on edge and remaining on the cloud is an area of research that has seen increasing interest in the field. In this paper, we assert that running CNNs between an edge device and the cloud is synonymous "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09123","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/2107.09123/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":"2026-07-05T03:48:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yWg/K5r5W23S/f56c9646NNikAf1XM9v7wpYaWw6rR27RsY0BzqXL9shKYXBvn1+IZAhQ71qkJjJ8v7iCh7RDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-25T05:01:41.105006Z"},"content_sha256":"a828366f6c80501496b661961cfb47cdfa00bd1361b9caafd9dc3973133d9405","schema_version":"1.0","event_id":"sha256:a828366f6c80501496b661961cfb47cdfa00bd1361b9caafd9dc3973133d9405"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/343JMFHI5BVXWDDFHTP5II26TB/bundle.json","state_url":"https://pith.science/pith/343JMFHI5BVXWDDFHTP5II26TB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/343JMFHI5BVXWDDFHTP5II26TB/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":"2026-07-25T05:01:41Z","links":{"resolver":"https://pith.science/pith/343JMFHI5BVXWDDFHTP5II26TB","bundle":"https://pith.science/pith/343JMFHI5BVXWDDFHTP5II26TB/bundle.json","state":"https://pith.science/pith/343JMFHI5BVXWDDFHTP5II26TB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/343JMFHI5BVXWDDFHTP5II26TB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:343JMFHI5BVXWDDFHTP5II26TB","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":"78f6cc6b5a5ddcb243b453662e6c4b5c3e27bae233782ed8fd999910df372693","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T19:39:56Z","title_canon_sha256":"cc64f0a2e636e024668747c7744764ff660d03c94bc7ee2ea3cc781710872bce"},"schema_version":"1.0","source":{"id":"2107.09123","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09123","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09123v1","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09123","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"pith_short_12","alias_value":"343JMFHI5BVX","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"pith_short_16","alias_value":"343JMFHI5BVXWDDF","created_at":"2026-07-05T03:48:30Z"},{"alias_kind":"pith_short_8","alias_value":"343JMFHI","created_at":"2026-07-05T03:48:30Z"}],"graph_snapshots":[{"event_id":"sha256:a828366f6c80501496b661961cfb47cdfa00bd1361b9caafd9dc3973133d9405","target":"graph","created_at":"2026-07-05T03:48:30Z","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/2107.09123/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the increasing reliance of users on smart devices, bringing essential computation at the edge has become a crucial requirement for any type of business. Many such computations utilize Convolution Neural Networks (CNNs) to perform AI tasks, having high resource and computation requirements, that are infeasible for edge devices. Splitting the CNN architecture to perform part of the computation on edge and remaining on the cloud is an area of research that has seen increasing interest in the field. In this paper, we assert that running CNNs between an edge device and the cloud is synonymous ","authors_text":"Avaneesh, Rajeev Shorey, Rohit Verma, Tanmay Jain","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T19:39:56Z","title":"Latency-Memory Optimized Splitting of Convolution Neural Networks for Resource Constrained Edge Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09123","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:bc4ed61c1f4eae888d8b315e7330d4c468e0b31650ef1e8d84d8c1dadd25b16f","target":"record","created_at":"2026-07-05T03:48:30Z","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":"78f6cc6b5a5ddcb243b453662e6c4b5c3e27bae233782ed8fd999910df372693","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T19:39:56Z","title_canon_sha256":"cc64f0a2e636e024668747c7744764ff660d03c94bc7ee2ea3cc781710872bce"},"schema_version":"1.0","source":{"id":"2107.09123","kind":"arxiv","version":1}},"canonical_sha256":"df369614e8e86b7b0c653cdfd4235e9843e9a37afd190dd87c80bc4011ea64c6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df369614e8e86b7b0c653cdfd4235e9843e9a37afd190dd87c80bc4011ea64c6","first_computed_at":"2026-07-05T03:48:30.146622Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:48:30.146622Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FWzydXjp4qm6wnKk5l0TAJhNWe5xFQX9d7GbAVOJnqIqoCCFaahWn8+2euA8vvXR9gWyWdVsW9UwZ11xmXMMBA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:48:30.147124Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.09123","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bc4ed61c1f4eae888d8b315e7330d4c468e0b31650ef1e8d84d8c1dadd25b16f","sha256:a828366f6c80501496b661961cfb47cdfa00bd1361b9caafd9dc3973133d9405"],"state_sha256":"6fe7a5609e79e66621ee80bce04415d9af3b009a647f0d1fb6d19f694f01c1ad"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/QtGD9psBaUqZ6uzcHaTOCSF4c5UyDCywb2td6x5xbF9RJ9yhjW6t+97r1WM7LnwCtqdcEgSNbpW66c0ekvNBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-25T05:01:41.107661Z","bundle_sha256":"13f8eaa9beee70642622a6e1a6de6f01a697096e848baab9c39144f06f9ccafc"}}