{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:BUTGE5RC2PQDEXFQRCYWODY4YB","short_pith_number":"pith:BUTGE5RC","canonical_record":{"source":{"id":"2208.01860","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2022-08-03T06:12:48Z","cross_cats_sorted":["cs.MM","cs.NI","cs.SY"],"title_canon_sha256":"88ed1f9ac4036f52515d20e43af83bc26217a93c7d7c8be0ed8cfe3bc50c8227","abstract_canon_sha256":"fdda99c04a777438feb0984b55cd5c0db3fd4cfc9892b5e05f20d7123a203a33"},"schema_version":"1.0"},"canonical_sha256":"0d26627622d3e0325cb088b1670f1cc05c461366320304bdc7cebe1d4332d410","source":{"kind":"arxiv","id":"2208.01860","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.01860","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"arxiv_version","alias_value":"2208.01860v1","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.01860","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"pith_short_12","alias_value":"BUTGE5RC2PQD","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"pith_short_16","alias_value":"BUTGE5RC2PQDEXFQ","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"pith_short_8","alias_value":"BUTGE5RC","created_at":"2026-07-05T04:45:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:BUTGE5RC2PQDEXFQRCYWODY4YB","target":"record","payload":{"canonical_record":{"source":{"id":"2208.01860","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2022-08-03T06:12:48Z","cross_cats_sorted":["cs.MM","cs.NI","cs.SY"],"title_canon_sha256":"88ed1f9ac4036f52515d20e43af83bc26217a93c7d7c8be0ed8cfe3bc50c8227","abstract_canon_sha256":"fdda99c04a777438feb0984b55cd5c0db3fd4cfc9892b5e05f20d7123a203a33"},"schema_version":"1.0"},"canonical_sha256":"0d26627622d3e0325cb088b1670f1cc05c461366320304bdc7cebe1d4332d410","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:45:50.505454Z","signature_b64":"x7no6KABI681HHQ2QgLTQCEMfCut4XYKIZizyOpRGUFsULejfaC9oeeLLU/u1zPzihNHmW7S9GFSZbizXxmqAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d26627622d3e0325cb088b1670f1cc05c461366320304bdc7cebe1d4332d410","last_reissued_at":"2026-07-05T04:45:50.504999Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:45:50.504999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.01860","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":"2026-07-05T04:45:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yuS19frLMrMrUT12nbvTWKmrlfot/e/uiytGpCiFZQB5XAW+MQi50OlX5/JMrPAHabSpGwFt9iekR88oYZGBCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-28T13:48:18.250550Z"},"content_sha256":"ce4caaaf470e4ba0d355c23f7f61bbf796409f552b8bf6d977364777574aa82d","schema_version":"1.0","event_id":"sha256:ce4caaaf470e4ba0d355c23f7f61bbf796409f552b8bf6d977364777574aa82d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:BUTGE5RC2PQDEXFQRCYWODY4YB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MM","cs.NI","cs.SY"],"primary_cat":"eess.SY","authors_text":"Guangjin Pan, Heng Zhang, Shugong Xu, Shunqing Zhang, Xiaojing Chen","submitted_at":"2022-08-03T06:12:48Z","abstract_excerpt":"The high computational complexity and high energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. This paper considers the scene of completing video-based AI inference tasks in the mobile edge computing (MEC) system. We use multiply-and-accumulate operations (MACs) for problem analysis and optimize delay and energy consumption under accuracy constraints. To solve this problem, we first assume that offloading policy is known and decouple the problem into two subproblems. After solving these two subproblems, we propose an iterati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.01860","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/2208.01860/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":"2026-07-05T04:45:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T2Q7KS3K1uxeYtIMMyHmKZMyvA2qrZ9XHar64NokBZDAIfuIrD0IqH2CyCc70fIuTlGvsw2mjQOkL9FQ8+EnBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-28T13:48:18.250939Z"},"content_sha256":"6d70dd06311df6bd35886ddad3427a27114418bbe8bc86e2790b70460f5708e7","schema_version":"1.0","event_id":"sha256:6d70dd06311df6bd35886ddad3427a27114418bbe8bc86e2790b70460f5708e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BUTGE5RC2PQDEXFQRCYWODY4YB/bundle.json","state_url":"https://pith.science/pith/BUTGE5RC2PQDEXFQRCYWODY4YB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BUTGE5RC2PQDEXFQRCYWODY4YB/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":"2026-07-28T13:48:18Z","links":{"resolver":"https://pith.science/pith/BUTGE5RC2PQDEXFQRCYWODY4YB","bundle":"https://pith.science/pith/BUTGE5RC2PQDEXFQRCYWODY4YB/bundle.json","state":"https://pith.science/pith/BUTGE5RC2PQDEXFQRCYWODY4YB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BUTGE5RC2PQDEXFQRCYWODY4YB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BUTGE5RC2PQDEXFQRCYWODY4YB","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":"fdda99c04a777438feb0984b55cd5c0db3fd4cfc9892b5e05f20d7123a203a33","cross_cats_sorted":["cs.MM","cs.NI","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2022-08-03T06:12:48Z","title_canon_sha256":"88ed1f9ac4036f52515d20e43af83bc26217a93c7d7c8be0ed8cfe3bc50c8227"},"schema_version":"1.0","source":{"id":"2208.01860","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.01860","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"arxiv_version","alias_value":"2208.01860v1","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.01860","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"pith_short_12","alias_value":"BUTGE5RC2PQD","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"pith_short_16","alias_value":"BUTGE5RC2PQDEXFQ","created_at":"2026-07-05T04:45:50Z"},{"alias_kind":"pith_short_8","alias_value":"BUTGE5RC","created_at":"2026-07-05T04:45:50Z"}],"graph_snapshots":[{"event_id":"sha256:6d70dd06311df6bd35886ddad3427a27114418bbe8bc86e2790b70460f5708e7","target":"graph","created_at":"2026-07-05T04:45:50Z","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/2208.01860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The high computational complexity and high energy consumption of artificial intelligence (AI) algorithms hinder their application in augmented reality (AR) systems. This paper considers the scene of completing video-based AI inference tasks in the mobile edge computing (MEC) system. We use multiply-and-accumulate operations (MACs) for problem analysis and optimize delay and energy consumption under accuracy constraints. To solve this problem, we first assume that offloading policy is known and decouple the problem into two subproblems. After solving these two subproblems, we propose an iterati","authors_text":"Guangjin Pan, Heng Zhang, Shugong Xu, Shunqing Zhang, Xiaojing Chen","cross_cats":["cs.MM","cs.NI","cs.SY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2022-08-03T06:12:48Z","title":"Joint Optimization of DNN Inference Delay and Energy under Accuracy Constraints for AR Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.01860","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:ce4caaaf470e4ba0d355c23f7f61bbf796409f552b8bf6d977364777574aa82d","target":"record","created_at":"2026-07-05T04:45:50Z","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":"fdda99c04a777438feb0984b55cd5c0db3fd4cfc9892b5e05f20d7123a203a33","cross_cats_sorted":["cs.MM","cs.NI","cs.SY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SY","submitted_at":"2022-08-03T06:12:48Z","title_canon_sha256":"88ed1f9ac4036f52515d20e43af83bc26217a93c7d7c8be0ed8cfe3bc50c8227"},"schema_version":"1.0","source":{"id":"2208.01860","kind":"arxiv","version":1}},"canonical_sha256":"0d26627622d3e0325cb088b1670f1cc05c461366320304bdc7cebe1d4332d410","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d26627622d3e0325cb088b1670f1cc05c461366320304bdc7cebe1d4332d410","first_computed_at":"2026-07-05T04:45:50.504999Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:45:50.504999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x7no6KABI681HHQ2QgLTQCEMfCut4XYKIZizyOpRGUFsULejfaC9oeeLLU/u1zPzihNHmW7S9GFSZbizXxmqAg==","signature_status":"signed_v1","signed_at":"2026-07-05T04:45:50.505454Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.01860","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce4caaaf470e4ba0d355c23f7f61bbf796409f552b8bf6d977364777574aa82d","sha256:6d70dd06311df6bd35886ddad3427a27114418bbe8bc86e2790b70460f5708e7"],"state_sha256":"dce9e32265d09efd657c3ae399d2872a4643cf7fd8e9d666e532acb36a4c2893"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kIVN334YSRywUu6uiaOf8yKHPq7I9POiFXdI5wGdUHHg8Mloy4EHQ7nBVLiEqponC+IDmfWbOfbm8WDp/ddlCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-28T13:48:18.253541Z","bundle_sha256":"fe9eea72ddbc903fb8a17f9b9e8c2d4a7857bfad84762bdaa71622d6cee70629"}}