{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:4Z3XA3R2N3VA5BHWAKC2Z7DC6C","short_pith_number":"pith:4Z3XA3R2","canonical_record":{"source":{"id":"2101.05952","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-01-15T03:18:53Z","cross_cats_sorted":["cs.LG","cs.NI"],"title_canon_sha256":"59ce93b654d240cce94ec5cfc3c092a625f5872441d18d2ca813db0f9551fc7f","abstract_canon_sha256":"4978760ce8472e78c06f034c609ce6bcea11637d644d02ddca43830a23a74479"},"schema_version":"1.0"},"canonical_sha256":"e677706e3a6eea0e84f60285acfc62f094f8875cd3b29eff41dfb1005a370e0a","source":{"kind":"arxiv","id":"2101.05952","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.05952","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"arxiv_version","alias_value":"2101.05952v1","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.05952","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"pith_short_12","alias_value":"4Z3XA3R2N3VA","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"pith_short_16","alias_value":"4Z3XA3R2N3VA5BHW","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"pith_short_8","alias_value":"4Z3XA3R2","created_at":"2026-07-05T02:07:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:4Z3XA3R2N3VA5BHWAKC2Z7DC6C","target":"record","payload":{"canonical_record":{"source":{"id":"2101.05952","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-01-15T03:18:53Z","cross_cats_sorted":["cs.LG","cs.NI"],"title_canon_sha256":"59ce93b654d240cce94ec5cfc3c092a625f5872441d18d2ca813db0f9551fc7f","abstract_canon_sha256":"4978760ce8472e78c06f034c609ce6bcea11637d644d02ddca43830a23a74479"},"schema_version":"1.0"},"canonical_sha256":"e677706e3a6eea0e84f60285acfc62f094f8875cd3b29eff41dfb1005a370e0a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:07:08.198851Z","signature_b64":"U5HYOXpfv6ag5HHtGsoNpKrksHhwDzICT+8CpjXqMN3+3lJPaV1S63XwMLCumZK2wKXBHR0x8dVSyz4iIoHmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e677706e3a6eea0e84f60285acfc62f094f8875cd3b29eff41dfb1005a370e0a","last_reissued_at":"2026-07-05T02:07:08.198378Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:07:08.198378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2101.05952","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":"2026-07-05T02:07:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rSlGCA3Hooj9xgm4X7oli5mNkUrSRD2+t0KAxKYo0mSxUerXmqjHG4Kg5Rg0nNSl3WHfGPVV/r49Q9osgq8ZDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T02:31:36.710087Z"},"content_sha256":"d6859f683fb971f569499cff5bfb27d9897760268740f216b7c764de65f3f02f","schema_version":"1.0","event_id":"sha256:d6859f683fb971f569499cff5bfb27d9897760268740f216b7c764de65f3f02f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:4Z3XA3R2N3VA5BHWAKC2Z7DC6C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dynamic DNN Decomposition for Lossless Synergistic Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NI"],"primary_cat":"cs.DC","authors_text":"Beibei Zhang, Hongxuan Zhang, Jianjun Gu, Shiqiang Zhu, Te Li, Tian Xiang","submitted_at":"2021-01-15T03:18:53Z","abstract_excerpt":"Deep neural networks (DNNs) sustain high performance in today's data processing applications. DNN inference is resource-intensive thus is difficult to fit into a mobile device. An alternative is to offload the DNN inference to a cloud server. However, such an approach requires heavy raw data transmission between the mobile device and the cloud server, which is not suitable for mission-critical and privacy-sensitive applications such as autopilot. To solve this problem, recent advances unleash DNN services using the edge computing paradigm. The existing approaches split a DNN into two parts and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.05952","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/2101.05952/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":"2026-07-05T02:07:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iGxra5h3fDg3ZZ57Wc99Xp0fHVw1BOmbCeyFs/t25uZjpcLDbn5b4JgrgbXWp7zb2k9xHa2WOKqeoIu+Kso3CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T02:31:36.710711Z"},"content_sha256":"0206612be2db9840a55c6aa9b1f7db26ef5713f39e4b63064bb3b9834e181fe7","schema_version":"1.0","event_id":"sha256:0206612be2db9840a55c6aa9b1f7db26ef5713f39e4b63064bb3b9834e181fe7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C/bundle.json","state_url":"https://pith.science/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C/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":"2026-08-23T02:31:36Z","links":{"resolver":"https://pith.science/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C","bundle":"https://pith.science/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C/bundle.json","state":"https://pith.science/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4Z3XA3R2N3VA5BHWAKC2Z7DC6C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:4Z3XA3R2N3VA5BHWAKC2Z7DC6C","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":"4978760ce8472e78c06f034c609ce6bcea11637d644d02ddca43830a23a74479","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-01-15T03:18:53Z","title_canon_sha256":"59ce93b654d240cce94ec5cfc3c092a625f5872441d18d2ca813db0f9551fc7f"},"schema_version":"1.0","source":{"id":"2101.05952","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2101.05952","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"arxiv_version","alias_value":"2101.05952v1","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2101.05952","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"pith_short_12","alias_value":"4Z3XA3R2N3VA","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"pith_short_16","alias_value":"4Z3XA3R2N3VA5BHW","created_at":"2026-07-05T02:07:08Z"},{"alias_kind":"pith_short_8","alias_value":"4Z3XA3R2","created_at":"2026-07-05T02:07:08Z"}],"graph_snapshots":[{"event_id":"sha256:0206612be2db9840a55c6aa9b1f7db26ef5713f39e4b63064bb3b9834e181fe7","target":"graph","created_at":"2026-07-05T02:07:08Z","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/2101.05952/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep neural networks (DNNs) sustain high performance in today's data processing applications. DNN inference is resource-intensive thus is difficult to fit into a mobile device. An alternative is to offload the DNN inference to a cloud server. However, such an approach requires heavy raw data transmission between the mobile device and the cloud server, which is not suitable for mission-critical and privacy-sensitive applications such as autopilot. To solve this problem, recent advances unleash DNN services using the edge computing paradigm. The existing approaches split a DNN into two parts and","authors_text":"Beibei Zhang, Hongxuan Zhang, Jianjun Gu, Shiqiang Zhu, Te Li, Tian Xiang","cross_cats":["cs.LG","cs.NI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-01-15T03:18:53Z","title":"Dynamic DNN Decomposition for Lossless Synergistic Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2101.05952","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:d6859f683fb971f569499cff5bfb27d9897760268740f216b7c764de65f3f02f","target":"record","created_at":"2026-07-05T02:07:08Z","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":"4978760ce8472e78c06f034c609ce6bcea11637d644d02ddca43830a23a74479","cross_cats_sorted":["cs.LG","cs.NI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2021-01-15T03:18:53Z","title_canon_sha256":"59ce93b654d240cce94ec5cfc3c092a625f5872441d18d2ca813db0f9551fc7f"},"schema_version":"1.0","source":{"id":"2101.05952","kind":"arxiv","version":1}},"canonical_sha256":"e677706e3a6eea0e84f60285acfc62f094f8875cd3b29eff41dfb1005a370e0a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e677706e3a6eea0e84f60285acfc62f094f8875cd3b29eff41dfb1005a370e0a","first_computed_at":"2026-07-05T02:07:08.198378Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:07:08.198378Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U5HYOXpfv6ag5HHtGsoNpKrksHhwDzICT+8CpjXqMN3+3lJPaV1S63XwMLCumZK2wKXBHR0x8dVSyz4iIoHmAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:07:08.198851Z","signed_message":"canonical_sha256_bytes"},"source_id":"2101.05952","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d6859f683fb971f569499cff5bfb27d9897760268740f216b7c764de65f3f02f","sha256:0206612be2db9840a55c6aa9b1f7db26ef5713f39e4b63064bb3b9834e181fe7"],"state_sha256":"134720e2ad20c53550ce6688649975439ac542e8251eb825b721c87ba369a33b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pIbOadm2CzZ3fLrB1EY7flbP1jtKUEJkKYBoydpPJRDu/qhxFV+k1kgW6FYpqJqql3VBiHzxm89CnOcCiTsQCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T02:31:36.715505Z","bundle_sha256":"f3a8de6b32fc0f838d9bf8cdc842f8dfd42fa96c5eee8b4cdc42547a76f7b081"}}