{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2K7LO6HE6ZBF3HHTZOXIDB4T4D","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":"d84f317f87c99bf832f526eb91b4baa1df4337686fb785a0740dcabe4359974c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-01-02T02:08:00Z","title_canon_sha256":"e6f904665fbf0f961cffc730e49c8ad09f56d3c8734b6c5e59003a11ff5bc5e3"},"schema_version":"1.0","source":{"id":"2501.01007","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01007","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01007v1","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01007","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"pith_short_12","alias_value":"2K7LO6HE6ZBF","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"pith_short_16","alias_value":"2K7LO6HE6ZBF3HHT","created_at":"2026-07-05T09:56:13Z"},{"alias_kind":"pith_short_8","alias_value":"2K7LO6HE","created_at":"2026-07-05T09:56:13Z"}],"graph_snapshots":[{"event_id":"sha256:19f71edb9d6f2031f8fcaf838f236d85f8b95617d9d2c9b5ab4d45eaf14854a6","target":"graph","created_at":"2026-07-05T09:56:13Z","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/2501.01007/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cloud computing has revolutionized the provisioning of computing resources, offering scalable, flexible, and on-demand services to meet the diverse requirements of modern applications. At the heart of efficient cloud operations are job scheduling and resource management, which are critical for optimizing system performance and ensuring timely and cost-effective service delivery. However, the dynamic and heterogeneous nature of cloud environments presents significant challenges for these tasks, as workloads and resource availability can fluctuate unpredictably. Traditional approaches, including","authors_text":"Cong Liu, Georgios Theodoropoulos, Long Cheng, Shen Wang, Shuhong Dai, Yan Gu, Ying Wang, Zhaoze Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-01-02T02:08:00Z","title":"Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01007","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:a370dc0ab9ec2610bd697fd6e7124464abbf2f8e0eec477e16041bf3a35fd6dd","target":"record","created_at":"2026-07-05T09:56:13Z","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":"d84f317f87c99bf832f526eb91b4baa1df4337686fb785a0740dcabe4359974c","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DC","submitted_at":"2025-01-02T02:08:00Z","title_canon_sha256":"e6f904665fbf0f961cffc730e49c8ad09f56d3c8734b6c5e59003a11ff5bc5e3"},"schema_version":"1.0","source":{"id":"2501.01007","kind":"arxiv","version":1}},"canonical_sha256":"d2beb778e4f6425d9cf3cbae818793e0c5e27c4000ef28e4e1b4dc566f4a64fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d2beb778e4f6425d9cf3cbae818793e0c5e27c4000ef28e4e1b4dc566f4a64fd","first_computed_at":"2026-07-05T09:56:13.025103Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:56:13.025103Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uGgF8xXcluFoRY9+LRvdPPTsdWFJJEUzCs7Zu5ZA7Z3KxV1JUZC1wuGKdaoMiZGnZ4D1s0Ibgej1z8bHzl9FBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:56:13.025521Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01007","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a370dc0ab9ec2610bd697fd6e7124464abbf2f8e0eec477e16041bf3a35fd6dd","sha256:19f71edb9d6f2031f8fcaf838f236d85f8b95617d9d2c9b5ab4d45eaf14854a6"],"state_sha256":"2f7bedbf8c7b8f88e9825fafab984ee6265f61fa83eab1987ad47aa71dfcfe9b"}