{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:LGBPHMO7PKWREZIFIK7W4SGFOM","short_pith_number":"pith:LGBPHMO7","canonical_record":{"source":{"id":"1810.01109","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-02T08:24:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"db34dc287313ebd944bbcf89ad18f69b5837d0ce9bc78309ee0b1f55e5897b97","abstract_canon_sha256":"ab94507096afc8acc97c156a44331f3a3ecfdb6b07b91d9fa2f94c1b8725e184"},"schema_version":"1.0"},"canonical_sha256":"5982f3b1df7aad12650542bf6e48c5733d389cfac578257295cc3f99588c882e","source":{"kind":"arxiv","id":"1810.01109","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.01109","created_at":"2026-05-18T00:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"1810.01109v2","created_at":"2026-05-18T00:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.01109","created_at":"2026-05-18T00:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"LGBPHMO7PKWR","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LGBPHMO7PKWREZIF","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LGBPHMO7","created_at":"2026-05-18T12:32:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:LGBPHMO7PKWREZIFIK7W4SGFOM","target":"record","payload":{"canonical_record":{"source":{"id":"1810.01109","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-02T08:24:09Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"db34dc287313ebd944bbcf89ad18f69b5837d0ce9bc78309ee0b1f55e5897b97","abstract_canon_sha256":"ab94507096afc8acc97c156a44331f3a3ecfdb6b07b91d9fa2f94c1b8725e184"},"schema_version":"1.0"},"canonical_sha256":"5982f3b1df7aad12650542bf6e48c5733d389cfac578257295cc3f99588c882e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:24.041020Z","signature_b64":"dCFuq2iviKsD0XmJbF1yLJ99X6VQ1Tg8M4LtIU2gi2OYUhW8njybt7g0mguBSIwC7orYB7tP1aSzuaUD4+QXAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5982f3b1df7aad12650542bf6e48c5733d389cfac578257295cc3f99588c882e","last_reissued_at":"2026-05-18T00:03:24.040391Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:24.040391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.01109","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":"2026-05-18T00:03:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8xmw9763m1O94hKAtVUjhCgFn4XE6pC5ZqpO094TF8CKQLgrkD/77WMHZ61YDPuBk02dz65MtLSHuwm/05WRAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T04:59:13.372261Z"},"content_sha256":"079db03343e10ed2509fa14d76c5deb84bcae86e9f1f77eebb8582a6a4d346d1","schema_version":"1.0","event_id":"sha256:079db03343e10ed2509fa14d76c5deb84bcae86e9f1f77eebb8582a6a4d346d1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:LGBPHMO7PKWREZIFIK7W4SGFOM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AI Benchmark: Running Deep Neural Networks on Android Smartphones","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.AI","authors_text":"Andrey Ignatov, Ke Wang, Luc Van Gool, Max Wu, Radu Timofte, Tim Hartley, William Chou","submitted_at":"2018-10-02T08:24:09Z","abstract_excerpt":"Over the last years, the computational power of mobile devices such as smartphones and tablets has grown dramatically, reaching the level of desktop computers available not long ago. While standard smartphone apps are no longer a problem for them, there is still a group of tasks that can easily challenge even high-end devices, namely running artificial intelligence algorithms. In this paper, we present a study of the current state of deep learning in the Android ecosystem and describe available frameworks, programming models and the limitations of running AI on smartphones. We give an overview"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.01109","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":""},"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":"2026-05-18T00:03:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KA1osDH0V4gbHgv4+tuO6mwWwN0xIddPbybziwPOUAR8XrK9QvfL6fGc0Amzlpg2k3DySx0pgHF4rYq3BlGPBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T04:59:13.372635Z"},"content_sha256":"6b4c5c9000c7e44159288408d12749568dcbb0f7bfb61154b4e60231cce858a3","schema_version":"1.0","event_id":"sha256:6b4c5c9000c7e44159288408d12749568dcbb0f7bfb61154b4e60231cce858a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LGBPHMO7PKWREZIFIK7W4SGFOM/bundle.json","state_url":"https://pith.science/pith/LGBPHMO7PKWREZIFIK7W4SGFOM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LGBPHMO7PKWREZIFIK7W4SGFOM/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":"2026-06-02T04:59:13Z","links":{"resolver":"https://pith.science/pith/LGBPHMO7PKWREZIFIK7W4SGFOM","bundle":"https://pith.science/pith/LGBPHMO7PKWREZIFIK7W4SGFOM/bundle.json","state":"https://pith.science/pith/LGBPHMO7PKWREZIFIK7W4SGFOM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LGBPHMO7PKWREZIFIK7W4SGFOM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:LGBPHMO7PKWREZIFIK7W4SGFOM","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":"ab94507096afc8acc97c156a44331f3a3ecfdb6b07b91d9fa2f94c1b8725e184","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-02T08:24:09Z","title_canon_sha256":"db34dc287313ebd944bbcf89ad18f69b5837d0ce9bc78309ee0b1f55e5897b97"},"schema_version":"1.0","source":{"id":"1810.01109","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.01109","created_at":"2026-05-18T00:03:24Z"},{"alias_kind":"arxiv_version","alias_value":"1810.01109v2","created_at":"2026-05-18T00:03:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.01109","created_at":"2026-05-18T00:03:24Z"},{"alias_kind":"pith_short_12","alias_value":"LGBPHMO7PKWR","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_16","alias_value":"LGBPHMO7PKWREZIF","created_at":"2026-05-18T12:32:37Z"},{"alias_kind":"pith_short_8","alias_value":"LGBPHMO7","created_at":"2026-05-18T12:32:37Z"}],"graph_snapshots":[{"event_id":"sha256:6b4c5c9000c7e44159288408d12749568dcbb0f7bfb61154b4e60231cce858a3","target":"graph","created_at":"2026-05-18T00:03:24Z","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"},"paper":{"abstract_excerpt":"Over the last years, the computational power of mobile devices such as smartphones and tablets has grown dramatically, reaching the level of desktop computers available not long ago. While standard smartphone apps are no longer a problem for them, there is still a group of tasks that can easily challenge even high-end devices, namely running artificial intelligence algorithms. In this paper, we present a study of the current state of deep learning in the Android ecosystem and describe available frameworks, programming models and the limitations of running AI on smartphones. We give an overview","authors_text":"Andrey Ignatov, Ke Wang, Luc Van Gool, Max Wu, Radu Timofte, Tim Hartley, William Chou","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-02T08:24:09Z","title":"AI Benchmark: Running Deep Neural Networks on Android Smartphones"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.01109","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":"sha256:079db03343e10ed2509fa14d76c5deb84bcae86e9f1f77eebb8582a6a4d346d1","target":"record","created_at":"2026-05-18T00:03:24Z","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":"ab94507096afc8acc97c156a44331f3a3ecfdb6b07b91d9fa2f94c1b8725e184","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2018-10-02T08:24:09Z","title_canon_sha256":"db34dc287313ebd944bbcf89ad18f69b5837d0ce9bc78309ee0b1f55e5897b97"},"schema_version":"1.0","source":{"id":"1810.01109","kind":"arxiv","version":2}},"canonical_sha256":"5982f3b1df7aad12650542bf6e48c5733d389cfac578257295cc3f99588c882e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5982f3b1df7aad12650542bf6e48c5733d389cfac578257295cc3f99588c882e","first_computed_at":"2026-05-18T00:03:24.040391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:24.040391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dCFuq2iviKsD0XmJbF1yLJ99X6VQ1Tg8M4LtIU2gi2OYUhW8njybt7g0mguBSIwC7orYB7tP1aSzuaUD4+QXAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:24.041020Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.01109","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:079db03343e10ed2509fa14d76c5deb84bcae86e9f1f77eebb8582a6a4d346d1","sha256:6b4c5c9000c7e44159288408d12749568dcbb0f7bfb61154b4e60231cce858a3"],"state_sha256":"0058d1e078d72532ba1f54648209320b6218701174374cc1a60d2560f92b6f3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6IrEautl7xw9ZXJ4cuN7o3E9lyYOC0otqRXQPYJHlPNy+SnQGoinyEWpYC+/jKEnGyR3W8dPFTHR6Dx4k2eECQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T04:59:13.374641Z","bundle_sha256":"17b036821d1b6df8790e6c149f5f21b7466a766e348b3f1594b3bc8f5f9bc5d8"}}