{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EZ4XKTFBHIG4JGO7HKB6FM3HPS","short_pith_number":"pith:EZ4XKTFB","canonical_record":{"source":{"id":"2411.13809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-11-21T03:16:05Z","cross_cats_sorted":[],"title_canon_sha256":"610ab16aaf85fcc01f0dc9c471f5afd4d74c12f1d9d657ea309765847777381c","abstract_canon_sha256":"d585746588a703d56d43c500cb304915cbb9f68c542963f77af9c34e8938cc3d"},"schema_version":"1.0"},"canonical_sha256":"2679754ca13a0dc499df3a83e2b3677c852616ab532464c158b12d98b8e5dde0","source":{"kind":"arxiv","id":"2411.13809","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13809","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13809v1","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13809","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"pith_short_12","alias_value":"EZ4XKTFBHIG4","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"pith_short_16","alias_value":"EZ4XKTFBHIG4JGO7","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"pith_short_8","alias_value":"EZ4XKTFB","created_at":"2026-07-05T09:38:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EZ4XKTFBHIG4JGO7HKB6FM3HPS","target":"record","payload":{"canonical_record":{"source":{"id":"2411.13809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-11-21T03:16:05Z","cross_cats_sorted":[],"title_canon_sha256":"610ab16aaf85fcc01f0dc9c471f5afd4d74c12f1d9d657ea309765847777381c","abstract_canon_sha256":"d585746588a703d56d43c500cb304915cbb9f68c542963f77af9c34e8938cc3d"},"schema_version":"1.0"},"canonical_sha256":"2679754ca13a0dc499df3a83e2b3677c852616ab532464c158b12d98b8e5dde0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:38:37.404716Z","signature_b64":"iWf5h3cIyPAa6ejPhwleSeNuhVgGgqS2rgyUxPqo1IWnHFPXkPjTS7TQQCuvQ6iWD4QM/rPMZPR0W1r5BvC1AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2679754ca13a0dc499df3a83e2b3677c852616ab532464c158b12d98b8e5dde0","last_reissued_at":"2026-07-05T09:38:37.404205Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:38:37.404205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.13809","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":"2026-07-05T09:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N33BFWqPx91aIoMNI2E0pUQTNyTWT4NUUuwz/NFI19EB6jJC2VWYzJOLQKdM44fNsNnJ6o3fI1Zs5Krk/nP6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T14:36:02.715706Z"},"content_sha256":"34dc1387195c67e097e217f9c2e6c154e5fe115f2ab04132949fb6cdf4412aa2","schema_version":"1.0","event_id":"sha256:34dc1387195c67e097e217f9c2e6c154e5fe115f2ab04132949fb6cdf4412aa2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EZ4XKTFBHIG4JGO7HKB6FM3HPS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DCSim: Computing and Networking Integration based Container Scheduling Simulator for Data Centers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Jinlong Hu, Lihao Deng, Shoubin Dong, Xingchen Liu, Zhizhe Rao","submitted_at":"2024-11-21T03:16:05Z","abstract_excerpt":"The increasing prevalence of cloud-native technologies, particularly containers, has led to the widespread adoption of containerized deployments in data centers. The advancement of deep neural network models has increased the demand for container-based distributed model training and inference, where frequent data transmission among nodes has emerged as a significant performance bottleneck. However, traditional container scheduling simulators often overlook the influence of network modeling on the efficiency of container scheduling, primarily concentrating on modeling computational resources. I"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13809","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/2411.13809/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":"2026-07-05T09:38:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"muLjUr1PKOQlSsMxGhFsv1OxyT8VgEADOGx2I0Wmxt9Y/e7f1JG0y9FGx4klfaOeGovQWpBRILyENMSaM0jYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T14:36:02.716218Z"},"content_sha256":"00ea4847256e352afb2d6f35a9ad0a53e20f555f5d8c0f53fb550e5e6141ab6a","schema_version":"1.0","event_id":"sha256:00ea4847256e352afb2d6f35a9ad0a53e20f555f5d8c0f53fb550e5e6141ab6a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS/bundle.json","state_url":"https://pith.science/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS/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":"2026-08-15T14:36:02Z","links":{"resolver":"https://pith.science/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS","bundle":"https://pith.science/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS/bundle.json","state":"https://pith.science/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EZ4XKTFBHIG4JGO7HKB6FM3HPS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EZ4XKTFBHIG4JGO7HKB6FM3HPS","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":"d585746588a703d56d43c500cb304915cbb9f68c542963f77af9c34e8938cc3d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-11-21T03:16:05Z","title_canon_sha256":"610ab16aaf85fcc01f0dc9c471f5afd4d74c12f1d9d657ea309765847777381c"},"schema_version":"1.0","source":{"id":"2411.13809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13809","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13809v1","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13809","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"pith_short_12","alias_value":"EZ4XKTFBHIG4","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"pith_short_16","alias_value":"EZ4XKTFBHIG4JGO7","created_at":"2026-07-05T09:38:37Z"},{"alias_kind":"pith_short_8","alias_value":"EZ4XKTFB","created_at":"2026-07-05T09:38:37Z"}],"graph_snapshots":[{"event_id":"sha256:00ea4847256e352afb2d6f35a9ad0a53e20f555f5d8c0f53fb550e5e6141ab6a","target":"graph","created_at":"2026-07-05T09:38:37Z","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/2411.13809/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing prevalence of cloud-native technologies, particularly containers, has led to the widespread adoption of containerized deployments in data centers. The advancement of deep neural network models has increased the demand for container-based distributed model training and inference, where frequent data transmission among nodes has emerged as a significant performance bottleneck. However, traditional container scheduling simulators often overlook the influence of network modeling on the efficiency of container scheduling, primarily concentrating on modeling computational resources. I","authors_text":"Jinlong Hu, Lihao Deng, Shoubin Dong, Xingchen Liu, Zhizhe Rao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-11-21T03:16:05Z","title":"DCSim: Computing and Networking Integration based Container Scheduling Simulator for Data Centers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13809","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":"sha256:34dc1387195c67e097e217f9c2e6c154e5fe115f2ab04132949fb6cdf4412aa2","target":"record","created_at":"2026-07-05T09:38:37Z","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":"d585746588a703d56d43c500cb304915cbb9f68c542963f77af9c34e8938cc3d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2024-11-21T03:16:05Z","title_canon_sha256":"610ab16aaf85fcc01f0dc9c471f5afd4d74c12f1d9d657ea309765847777381c"},"schema_version":"1.0","source":{"id":"2411.13809","kind":"arxiv","version":1}},"canonical_sha256":"2679754ca13a0dc499df3a83e2b3677c852616ab532464c158b12d98b8e5dde0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2679754ca13a0dc499df3a83e2b3677c852616ab532464c158b12d98b8e5dde0","first_computed_at":"2026-07-05T09:38:37.404205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:38:37.404205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iWf5h3cIyPAa6ejPhwleSeNuhVgGgqS2rgyUxPqo1IWnHFPXkPjTS7TQQCuvQ6iWD4QM/rPMZPR0W1r5BvC1AA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:38:37.404716Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:34dc1387195c67e097e217f9c2e6c154e5fe115f2ab04132949fb6cdf4412aa2","sha256:00ea4847256e352afb2d6f35a9ad0a53e20f555f5d8c0f53fb550e5e6141ab6a"],"state_sha256":"b368f5e2d5d42733ef180d68e20e9b04529bf5633df300c3cb386132b949064e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fP7eiQsggnVFC344FCpwYqihPx+i4z1WvYJnW6wEpgP8Q3VwLBbeZk9sA4+CX6j3obUG6FV+8tP7isidxiv/Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T14:36:02.719388Z","bundle_sha256":"36d65533ce8e4bf5bad18cf5127f3721ecb14927f4e4a4d02d153a7796f614f8"}}