{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WGX3AGRZ3ASJ4XL2NZ62Y4XEGV","short_pith_number":"pith:WGX3AGRZ","canonical_record":{"source":{"id":"2403.07905","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-02-26T13:12:44Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"fa2ad01829ede95332b5d25dda48e5c7c9f1a7ad4b21ef1788fbe8a850036983","abstract_canon_sha256":"d0999b0c2dc96279b7e05260082ffc1bca3bae99488abacd75f29284c2d091e3"},"schema_version":"1.0"},"canonical_sha256":"b1afb01a39d8249e5d7a6e7dac72e43566ec9225ee5755ab01a1e43ffbaeda48","source":{"kind":"arxiv","id":"2403.07905","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07905","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07905v1","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07905","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"pith_short_12","alias_value":"WGX3AGRZ3ASJ","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"pith_short_16","alias_value":"WGX3AGRZ3ASJ4XL2","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"pith_short_8","alias_value":"WGX3AGRZ","created_at":"2026-07-05T07:55:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WGX3AGRZ3ASJ4XL2NZ62Y4XEGV","target":"record","payload":{"canonical_record":{"source":{"id":"2403.07905","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-02-26T13:12:44Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"fa2ad01829ede95332b5d25dda48e5c7c9f1a7ad4b21ef1788fbe8a850036983","abstract_canon_sha256":"d0999b0c2dc96279b7e05260082ffc1bca3bae99488abacd75f29284c2d091e3"},"schema_version":"1.0"},"canonical_sha256":"b1afb01a39d8249e5d7a6e7dac72e43566ec9225ee5755ab01a1e43ffbaeda48","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:55:31.634373Z","signature_b64":"HA6xl8eN383amJj36TXKi4l2DT5xpcYnaPdCNEeGmGl1418ERQBDrfnhhdyNLPB/pkIHg+i7JF7eCAAK4wmMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1afb01a39d8249e5d7a6e7dac72e43566ec9225ee5755ab01a1e43ffbaeda48","last_reissued_at":"2026-07-05T07:55:31.633864Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:55:31.633864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.07905","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":"2026-07-05T07:55:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UcUmhqX1LENY3Ok14lkUTVlImuhlRhdsp5ZnLkn6JngCO2pw5nqpbogcZrwEcmn+ZZgFsivwEvFREDxXuC8oAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T14:57:49.390019Z"},"content_sha256":"a2f730d9200183ab8453ff27e33c87344e8b87d204ad65ad517b905eed1f4c68","schema_version":"1.0","event_id":"sha256:a2f730d9200183ab8453ff27e33c87344e8b87d204ad65ad517b905eed1f4c68"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WGX3AGRZ3ASJ4XL2NZ62Y4XEGV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.DC","authors_text":"Qiaozhi Bao, Wenpin Qian, Yanlin Zhou, Yulu Gong, Zheng Xu","submitted_at":"2024-02-26T13:12:44Z","abstract_excerpt":"With the continuous expansion of the scale of cloud computing applications, artificial intelligence technologies such as Deep Learning and Reinforcement Learning have gradually become the key tools to solve the automated task scheduling of large-scale cloud computing systems. Aiming at the complexity and real-time requirement of task scheduling in large-scale cloud computing system, this paper proposes an automatic task scheduling scheme based on deep learning and reinforcement learning. Firstly, the deep learning technology is used to monitor and predict the parameters in the cloud computing "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07905","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/2403.07905/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":"2026-07-05T07:55:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3GWF7WG0IbBVNcR8N7ln+SkpvGkuHIvhv3lTlccoGiV3DctG5YTK4MrdAhSpsO6k0df7pKZARORlLsNULszcCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T14:57:49.390558Z"},"content_sha256":"56f6d7156384894e47eb38e83b8843cb581b7fe4b5df9ce27779700eca9913a1","schema_version":"1.0","event_id":"sha256:56f6d7156384894e47eb38e83b8843cb581b7fe4b5df9ce27779700eca9913a1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV/bundle.json","state_url":"https://pith.science/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV/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":"2026-08-15T14:57:49Z","links":{"resolver":"https://pith.science/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV","bundle":"https://pith.science/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV/bundle.json","state":"https://pith.science/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WGX3AGRZ3ASJ4XL2NZ62Y4XEGV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WGX3AGRZ3ASJ4XL2NZ62Y4XEGV","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":"d0999b0c2dc96279b7e05260082ffc1bca3bae99488abacd75f29284c2d091e3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-02-26T13:12:44Z","title_canon_sha256":"fa2ad01829ede95332b5d25dda48e5c7c9f1a7ad4b21ef1788fbe8a850036983"},"schema_version":"1.0","source":{"id":"2403.07905","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07905","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07905v1","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07905","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"pith_short_12","alias_value":"WGX3AGRZ3ASJ","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"pith_short_16","alias_value":"WGX3AGRZ3ASJ4XL2","created_at":"2026-07-05T07:55:31Z"},{"alias_kind":"pith_short_8","alias_value":"WGX3AGRZ","created_at":"2026-07-05T07:55:31Z"}],"graph_snapshots":[{"event_id":"sha256:56f6d7156384894e47eb38e83b8843cb581b7fe4b5df9ce27779700eca9913a1","target":"graph","created_at":"2026-07-05T07:55:31Z","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/2403.07905/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the continuous expansion of the scale of cloud computing applications, artificial intelligence technologies such as Deep Learning and Reinforcement Learning have gradually become the key tools to solve the automated task scheduling of large-scale cloud computing systems. Aiming at the complexity and real-time requirement of task scheduling in large-scale cloud computing system, this paper proposes an automatic task scheduling scheme based on deep learning and reinforcement learning. Firstly, the deep learning technology is used to monitor and predict the parameters in the cloud computing ","authors_text":"Qiaozhi Bao, Wenpin Qian, Yanlin Zhou, Yulu Gong, Zheng Xu","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-02-26T13:12:44Z","title":"Enhancing Kubernetes Automated Scheduling with Deep Learning and Reinforcement Techniques for Large-Scale Cloud Computing Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07905","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:a2f730d9200183ab8453ff27e33c87344e8b87d204ad65ad517b905eed1f4c68","target":"record","created_at":"2026-07-05T07:55:31Z","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":"d0999b0c2dc96279b7e05260082ffc1bca3bae99488abacd75f29284c2d091e3","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2024-02-26T13:12:44Z","title_canon_sha256":"fa2ad01829ede95332b5d25dda48e5c7c9f1a7ad4b21ef1788fbe8a850036983"},"schema_version":"1.0","source":{"id":"2403.07905","kind":"arxiv","version":1}},"canonical_sha256":"b1afb01a39d8249e5d7a6e7dac72e43566ec9225ee5755ab01a1e43ffbaeda48","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1afb01a39d8249e5d7a6e7dac72e43566ec9225ee5755ab01a1e43ffbaeda48","first_computed_at":"2026-07-05T07:55:31.633864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:31.633864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HA6xl8eN383amJj36TXKi4l2DT5xpcYnaPdCNEeGmGl1418ERQBDrfnhhdyNLPB/pkIHg+i7JF7eCAAK4wmMCg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:31.634373Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.07905","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2f730d9200183ab8453ff27e33c87344e8b87d204ad65ad517b905eed1f4c68","sha256:56f6d7156384894e47eb38e83b8843cb581b7fe4b5df9ce27779700eca9913a1"],"state_sha256":"a2d620afaad069ba810673f84b61fb9381cc9af8708863f21dea1e889815a1eb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d79eyJwYgj9KXUK4KNaeCFkeVaS8jgLDIA7LDKVuR0bycIDNyDeyF8z2EnX1GXCePNM5/SKDA/WlNJw5hHFyBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T14:57:49.396341Z","bundle_sha256":"9f973bee6ac7acf44c748d9f831e70ab94915f13f7db525aee8ffcfedd802770"}}