{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:YADJE7GXDUGOTSGRXXXFTTOUES","short_pith_number":"pith:YADJE7GX","canonical_record":{"source":{"id":"1910.08925","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-10-20T08:14:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4b1dc4bd77a55f2fb28dccf5d6d006c05079e308d0cb4dd44d382e53c5db1e19","abstract_canon_sha256":"36a8894b8f059f55d62894d78fb491bacc244efb8c0064c5b1192aeac1ba03be"},"schema_version":"1.0"},"canonical_sha256":"c006927cd71d0ce9c8d1bdee59cdd424ae74c78cb6a1657b1211cbbaf9a7692a","source":{"kind":"arxiv","id":"1910.08925","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.08925","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"arxiv_version","alias_value":"1910.08925v3","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.08925","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"pith_short_12","alias_value":"YADJE7GXDUGO","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"pith_short_16","alias_value":"YADJE7GXDUGOTSGR","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"pith_short_8","alias_value":"YADJE7GX","created_at":"2026-07-05T01:32:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:YADJE7GXDUGOTSGRXXXFTTOUES","target":"record","payload":{"canonical_record":{"source":{"id":"1910.08925","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-10-20T08:14:28Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4b1dc4bd77a55f2fb28dccf5d6d006c05079e308d0cb4dd44d382e53c5db1e19","abstract_canon_sha256":"36a8894b8f059f55d62894d78fb491bacc244efb8c0064c5b1192aeac1ba03be"},"schema_version":"1.0"},"canonical_sha256":"c006927cd71d0ce9c8d1bdee59cdd424ae74c78cb6a1657b1211cbbaf9a7692a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:32:21.809861Z","signature_b64":"KiN1i+N5ZYHv1+Ppfaw/cCV8kzwdxJGGpRn0I4x9hWhwyStv10l/XUgfyHwWRhmsDYQEFUQTPEL5/W0bdyn+DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c006927cd71d0ce9c8d1bdee59cdd424ae74c78cb6a1657b1211cbbaf9a7692a","last_reissued_at":"2026-07-05T01:32:21.809435Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:32:21.809435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.08925","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:32:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b3wGzTpTnqwFDZOlnG44498Lf6aTuC8/nJn5qYWaoULX5IRneUT3d0RVIjN0P4qk95jmO1wCOTAbd0uO+gqbDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:26:16.570049Z"},"content_sha256":"3e3a948926ae7fdb49633e4d2e8640d37ed82ec8fd1094aa56ba431a94f7f4cf","schema_version":"1.0","event_id":"sha256:3e3a948926ae7fdb49633e4d2e8640d37ed82ec8fd1094aa56ba431a94f7f4cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:YADJE7GXDUGOTSGRXXXFTTOUES","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.DC","authors_text":"Bing Xie, Di Zhang, Dong Dai, Forrest Sheng Bao, Youbiao He","submitted_at":"2019-10-20T08:14:28Z","abstract_excerpt":"Today high-performance computing (HPC) platforms are still dominated by batch jobs. Accordingly, effective batch job scheduling is crucial to obtain high system efficiency. Existing HPC batch job schedulers typically leverage heuristic priority functions to prioritize and schedule jobs. But, once configured and deployed by the experts, such priority functions can hardly adapt to the changes of job loads, optimization goals, or system settings, potentially leading to degraded system efficiency when changes occur. To address this fundamental issue, we present RLScheduler, an automated HPC batch "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.08925","kind":"arxiv","version":3},"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/1910.08925/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":"2026-07-05T01:32:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zFaI4VNWDqLlpKIIOOO/Vcor/20DXvNNs4Q+U61UIv2pW+Jcxw43Ssl6nicVC02nyaoWLSefX6YZ/kwyxO/JBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:26:16.570457Z"},"content_sha256":"76e1dc058ec3ffc0d01039bfc72e591267dd08296c2238cd6e37cb16ce663438","schema_version":"1.0","event_id":"sha256:76e1dc058ec3ffc0d01039bfc72e591267dd08296c2238cd6e37cb16ce663438"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YADJE7GXDUGOTSGRXXXFTTOUES/bundle.json","state_url":"https://pith.science/pith/YADJE7GXDUGOTSGRXXXFTTOUES/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YADJE7GXDUGOTSGRXXXFTTOUES/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":"2026-07-06T17:26:16Z","links":{"resolver":"https://pith.science/pith/YADJE7GXDUGOTSGRXXXFTTOUES","bundle":"https://pith.science/pith/YADJE7GXDUGOTSGRXXXFTTOUES/bundle.json","state":"https://pith.science/pith/YADJE7GXDUGOTSGRXXXFTTOUES/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YADJE7GXDUGOTSGRXXXFTTOUES/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:YADJE7GXDUGOTSGRXXXFTTOUES","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":"36a8894b8f059f55d62894d78fb491bacc244efb8c0064c5b1192aeac1ba03be","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-10-20T08:14:28Z","title_canon_sha256":"4b1dc4bd77a55f2fb28dccf5d6d006c05079e308d0cb4dd44d382e53c5db1e19"},"schema_version":"1.0","source":{"id":"1910.08925","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.08925","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"arxiv_version","alias_value":"1910.08925v3","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.08925","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"pith_short_12","alias_value":"YADJE7GXDUGO","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"pith_short_16","alias_value":"YADJE7GXDUGOTSGR","created_at":"2026-07-05T01:32:21Z"},{"alias_kind":"pith_short_8","alias_value":"YADJE7GX","created_at":"2026-07-05T01:32:21Z"}],"graph_snapshots":[{"event_id":"sha256:76e1dc058ec3ffc0d01039bfc72e591267dd08296c2238cd6e37cb16ce663438","target":"graph","created_at":"2026-07-05T01:32:21Z","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/1910.08925/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Today high-performance computing (HPC) platforms are still dominated by batch jobs. Accordingly, effective batch job scheduling is crucial to obtain high system efficiency. Existing HPC batch job schedulers typically leverage heuristic priority functions to prioritize and schedule jobs. But, once configured and deployed by the experts, such priority functions can hardly adapt to the changes of job loads, optimization goals, or system settings, potentially leading to degraded system efficiency when changes occur. To address this fundamental issue, we present RLScheduler, an automated HPC batch ","authors_text":"Bing Xie, Di Zhang, Dong Dai, Forrest Sheng Bao, Youbiao He","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-10-20T08:14:28Z","title":"RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.08925","kind":"arxiv","version":3},"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":"sha256:3e3a948926ae7fdb49633e4d2e8640d37ed82ec8fd1094aa56ba431a94f7f4cf","target":"record","created_at":"2026-07-05T01:32:21Z","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":"36a8894b8f059f55d62894d78fb491bacc244efb8c0064c5b1192aeac1ba03be","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2019-10-20T08:14:28Z","title_canon_sha256":"4b1dc4bd77a55f2fb28dccf5d6d006c05079e308d0cb4dd44d382e53c5db1e19"},"schema_version":"1.0","source":{"id":"1910.08925","kind":"arxiv","version":3}},"canonical_sha256":"c006927cd71d0ce9c8d1bdee59cdd424ae74c78cb6a1657b1211cbbaf9a7692a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c006927cd71d0ce9c8d1bdee59cdd424ae74c78cb6a1657b1211cbbaf9a7692a","first_computed_at":"2026-07-05T01:32:21.809435Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:32:21.809435Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KiN1i+N5ZYHv1+Ppfaw/cCV8kzwdxJGGpRn0I4x9hWhwyStv10l/XUgfyHwWRhmsDYQEFUQTPEL5/W0bdyn+DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:32:21.809861Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.08925","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3e3a948926ae7fdb49633e4d2e8640d37ed82ec8fd1094aa56ba431a94f7f4cf","sha256:76e1dc058ec3ffc0d01039bfc72e591267dd08296c2238cd6e37cb16ce663438"],"state_sha256":"de837a7e3d1ebe1ac4b47d90536230699073da0f440968dc8eb17fa20228c00a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lOnBh3hZ8daiyxObzyWvmob0o/r7uMK4Tm+3aNLzDZlv4XQ15wf5H0z9Wx+V9piBE9sOrKWdl4IhA6MCuFceBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:26:16.572625Z","bundle_sha256":"c9f4e8cd8f16d58b0462b7babb38f15cc24f042fa2431ed4ddc6d5d9d5c7785a"}}