{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:27JMCESL5NCE5ZYXEYDTOVZOWP","short_pith_number":"pith:27JMCESL","canonical_record":{"source":{"id":"2109.01932","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-04T20:57:05Z","cross_cats_sorted":[],"title_canon_sha256":"62b48d4d9057e6fb3949cbf0f6807670a4b0af1b161a2e25650982fe097334d0","abstract_canon_sha256":"988a582931aa0a4483ff34415967b1c7531800867f6f2a017beb3db5f8d307ef"},"schema_version":"1.0"},"canonical_sha256":"d7d2c1124beb444ee717260737572eb3f9904dc4bb7c7f32c08c10e2a3b6b044","source":{"kind":"arxiv","id":"2109.01932","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.01932","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"arxiv_version","alias_value":"2109.01932v2","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.01932","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"pith_short_12","alias_value":"27JMCESL5NCE","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"pith_short_16","alias_value":"27JMCESL5NCE5ZYX","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"pith_short_8","alias_value":"27JMCESL","created_at":"2026-07-05T04:49:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:27JMCESL5NCE5ZYXEYDTOVZOWP","target":"record","payload":{"canonical_record":{"source":{"id":"2109.01932","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-04T20:57:05Z","cross_cats_sorted":[],"title_canon_sha256":"62b48d4d9057e6fb3949cbf0f6807670a4b0af1b161a2e25650982fe097334d0","abstract_canon_sha256":"988a582931aa0a4483ff34415967b1c7531800867f6f2a017beb3db5f8d307ef"},"schema_version":"1.0"},"canonical_sha256":"d7d2c1124beb444ee717260737572eb3f9904dc4bb7c7f32c08c10e2a3b6b044","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:49:42.439753Z","signature_b64":"6e6GeWJ29iKLDXHwXJQHZI3XWvGVlVUjf7HAYukSKlTY34fOEIfaaU1o24+4Ee1N2BXs3LIlMWt2D+qwue0wBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d7d2c1124beb444ee717260737572eb3f9904dc4bb7c7f32c08c10e2a3b6b044","last_reissued_at":"2026-07-05T04:49:42.439394Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:49:42.439394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.01932","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":"2026-07-05T04:49:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ucVfyQU9NXy77dVA0gyzig4SgayE0cmsCfdTUcE6AL1XuFzCgcBl8ax8cOjihDj6Lim/3APIHcOWlv1t2uYsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:38:02.757378Z"},"content_sha256":"5c1b2a15ee9cd21c705ca430262f080366cc1013e6875d0b3d7c9d52e4bdc0a2","schema_version":"1.0","event_id":"sha256:5c1b2a15ee9cd21c705ca430262f080366cc1013e6875d0b3d7c9d52e4bdc0a2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:27JMCESL5NCE5ZYXEYDTOVZOWP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ISyNet: Convolutional Neural Networks design for AI accelerator","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexey Letunovskiy, Anastasiia Kargapoltseva, Ivan Mazurenko, Vladimir Korviakov, Vladimir Polovnikov, Yepan Xiong","submitted_at":"2021-09-04T20:57:05Z","abstract_excerpt":"In recent years Deep Learning reached significant results in many practical problems, such as computer vision, natural language processing, speech recognition and many others. For many years the main goal of the research was to improve the quality of models, even if the complexity was impractically high. However, for the production solutions, which often require real-time work, the latency of the model plays a very important role. Current state-of-the-art architectures are found with neural architecture search (NAS) taking model complexity into account. However, designing of the search space s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.01932","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/2109.01932/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":"2026-07-05T04:49:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Bj/ROwukzMPi6Y2hil4ECF5K5iT4kfYMz9j19GE9Cd3PYuZoohM3vf6+XIvZ3B65isWRDeT1R/9s693ynegVBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T07:38:02.758004Z"},"content_sha256":"0f15bf760dc78c380bbb9cfd4f9579576270ae796950ca0b8c1b3fc83bf5d263","schema_version":"1.0","event_id":"sha256:0f15bf760dc78c380bbb9cfd4f9579576270ae796950ca0b8c1b3fc83bf5d263"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/27JMCESL5NCE5ZYXEYDTOVZOWP/bundle.json","state_url":"https://pith.science/pith/27JMCESL5NCE5ZYXEYDTOVZOWP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/27JMCESL5NCE5ZYXEYDTOVZOWP/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":"2026-08-11T07:38:02Z","links":{"resolver":"https://pith.science/pith/27JMCESL5NCE5ZYXEYDTOVZOWP","bundle":"https://pith.science/pith/27JMCESL5NCE5ZYXEYDTOVZOWP/bundle.json","state":"https://pith.science/pith/27JMCESL5NCE5ZYXEYDTOVZOWP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/27JMCESL5NCE5ZYXEYDTOVZOWP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:27JMCESL5NCE5ZYXEYDTOVZOWP","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":"988a582931aa0a4483ff34415967b1c7531800867f6f2a017beb3db5f8d307ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-04T20:57:05Z","title_canon_sha256":"62b48d4d9057e6fb3949cbf0f6807670a4b0af1b161a2e25650982fe097334d0"},"schema_version":"1.0","source":{"id":"2109.01932","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.01932","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"arxiv_version","alias_value":"2109.01932v2","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.01932","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"pith_short_12","alias_value":"27JMCESL5NCE","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"pith_short_16","alias_value":"27JMCESL5NCE5ZYX","created_at":"2026-07-05T04:49:42Z"},{"alias_kind":"pith_short_8","alias_value":"27JMCESL","created_at":"2026-07-05T04:49:42Z"}],"graph_snapshots":[{"event_id":"sha256:0f15bf760dc78c380bbb9cfd4f9579576270ae796950ca0b8c1b3fc83bf5d263","target":"graph","created_at":"2026-07-05T04:49:42Z","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/2109.01932/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years Deep Learning reached significant results in many practical problems, such as computer vision, natural language processing, speech recognition and many others. For many years the main goal of the research was to improve the quality of models, even if the complexity was impractically high. However, for the production solutions, which often require real-time work, the latency of the model plays a very important role. Current state-of-the-art architectures are found with neural architecture search (NAS) taking model complexity into account. However, designing of the search space s","authors_text":"Alexey Letunovskiy, Anastasiia Kargapoltseva, Ivan Mazurenko, Vladimir Korviakov, Vladimir Polovnikov, Yepan Xiong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-04T20:57:05Z","title":"ISyNet: Convolutional Neural Networks design for AI accelerator"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.01932","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":"sha256:5c1b2a15ee9cd21c705ca430262f080366cc1013e6875d0b3d7c9d52e4bdc0a2","target":"record","created_at":"2026-07-05T04:49:42Z","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":"988a582931aa0a4483ff34415967b1c7531800867f6f2a017beb3db5f8d307ef","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-09-04T20:57:05Z","title_canon_sha256":"62b48d4d9057e6fb3949cbf0f6807670a4b0af1b161a2e25650982fe097334d0"},"schema_version":"1.0","source":{"id":"2109.01932","kind":"arxiv","version":2}},"canonical_sha256":"d7d2c1124beb444ee717260737572eb3f9904dc4bb7c7f32c08c10e2a3b6b044","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d7d2c1124beb444ee717260737572eb3f9904dc4bb7c7f32c08c10e2a3b6b044","first_computed_at":"2026-07-05T04:49:42.439394Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:49:42.439394Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6e6GeWJ29iKLDXHwXJQHZI3XWvGVlVUjf7HAYukSKlTY34fOEIfaaU1o24+4Ee1N2BXs3LIlMWt2D+qwue0wBg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:49:42.439753Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.01932","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5c1b2a15ee9cd21c705ca430262f080366cc1013e6875d0b3d7c9d52e4bdc0a2","sha256:0f15bf760dc78c380bbb9cfd4f9579576270ae796950ca0b8c1b3fc83bf5d263"],"state_sha256":"9ec9c650dfc96c0d7701dfebf94d4f8c9c3f3ddcad9cf2525b65d4a3cd523be1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3P26Tl/EQf4pzYucZBq4IDUmFPNxDE8etxRdt3aWcHGP7rivzvQbRVpvhxllGMeDLmFvPGIdbTFZIPC/YNatDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T07:38:02.763418Z","bundle_sha256":"75d54647890dabc184c819809fcf3e2dde441b5561544e7d46288d3c2a58ac80"}}