{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:YXVCOIWLMEFHCXCUQSOAETO6A3","short_pith_number":"pith:YXVCOIWL","canonical_record":{"source":{"id":"2301.08612","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-20T14:49:25Z","cross_cats_sorted":[],"title_canon_sha256":"ded257a97258912c86742c2530d6ed466c39b1b3676c41970a7ad38c94f057ea","abstract_canon_sha256":"5d850ba2208257a614fd3ad23d9cb77914c0018fe87721f21a1d00e3b2eb72db"},"schema_version":"1.0"},"canonical_sha256":"c5ea2722cb610a715c54849c024dde06dbc3ff02978425740f7ed4507e67066b","source":{"kind":"arxiv","id":"2301.08612","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.08612","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"arxiv_version","alias_value":"2301.08612v1","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.08612","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"pith_short_12","alias_value":"YXVCOIWLMEFH","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"pith_short_16","alias_value":"YXVCOIWLMEFHCXCU","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"pith_short_8","alias_value":"YXVCOIWL","created_at":"2026-07-05T05:34:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:YXVCOIWLMEFHCXCUQSOAETO6A3","target":"record","payload":{"canonical_record":{"source":{"id":"2301.08612","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-20T14:49:25Z","cross_cats_sorted":[],"title_canon_sha256":"ded257a97258912c86742c2530d6ed466c39b1b3676c41970a7ad38c94f057ea","abstract_canon_sha256":"5d850ba2208257a614fd3ad23d9cb77914c0018fe87721f21a1d00e3b2eb72db"},"schema_version":"1.0"},"canonical_sha256":"c5ea2722cb610a715c54849c024dde06dbc3ff02978425740f7ed4507e67066b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:34:38.264806Z","signature_b64":"34Y/7P/CoATD0y1gczIcBU+JZn0ZEOHdPY82vzsrxH846jBtoQ8m7htzVmiQKkmCoOb/8Dn95HrDBlVswvMIBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c5ea2722cb610a715c54849c024dde06dbc3ff02978425740f7ed4507e67066b","last_reissued_at":"2026-07-05T05:34:38.264365Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:34:38.264365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.08612","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":"2026-07-05T05:34:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"a77pPvvTMX3TELndxVRR3Zj89gfibAH00+VFAQ5bmepJVD+mVVYSHcNV+p+2HF0M9kXij3XKvuct10ppz3qCDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:18:11.871204Z"},"content_sha256":"23bbb92182f42d98be95404dbba2f14d3295c5d02e5837abec665cf821636656","schema_version":"1.0","event_id":"sha256:23bbb92182f42d98be95404dbba2f14d3295c5d02e5837abec665cf821636656"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:YXVCOIWLMEFHCXCUQSOAETO6A3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ARcode: HPC Application Recognition Through Image-encoded Monitoring Data","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DC","authors_text":"Brandon Cook, Jie Li, Yong Chen","submitted_at":"2023-01-20T14:49:25Z","abstract_excerpt":"Knowing HPC applications of jobs and analyzing their performance behavior play important roles in system management and optimizations. The existing approaches detect and identify HPC applications through machine learning models. However, these approaches rely heavily on the manually extracted features from resource utilization data to achieve high prediction accuracy. In this study, we propose an innovative application recognition method, ARcode, which encodes job monitoring data into images and leverages the automatic feature learning capability of convolutional neural networks to detect and "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.08612","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/2301.08612/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":"2026-07-05T05:34:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gMXbTWsqT2k5N1vCTbD8dA+vHZUnmm2GtB1VUX4EnHmoJqddVWlCET+semL6C1HMjpI3GQ2rS2u2Fyzy+T8XBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:18:11.871739Z"},"content_sha256":"dfa40aeed7788d3def5fa7da01709324471503602f112d34e6812423338c3685","schema_version":"1.0","event_id":"sha256:dfa40aeed7788d3def5fa7da01709324471503602f112d34e6812423338c3685"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YXVCOIWLMEFHCXCUQSOAETO6A3/bundle.json","state_url":"https://pith.science/pith/YXVCOIWLMEFHCXCUQSOAETO6A3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YXVCOIWLMEFHCXCUQSOAETO6A3/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":"2026-08-05T03:18:11Z","links":{"resolver":"https://pith.science/pith/YXVCOIWLMEFHCXCUQSOAETO6A3","bundle":"https://pith.science/pith/YXVCOIWLMEFHCXCUQSOAETO6A3/bundle.json","state":"https://pith.science/pith/YXVCOIWLMEFHCXCUQSOAETO6A3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YXVCOIWLMEFHCXCUQSOAETO6A3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:YXVCOIWLMEFHCXCUQSOAETO6A3","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":"5d850ba2208257a614fd3ad23d9cb77914c0018fe87721f21a1d00e3b2eb72db","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-20T14:49:25Z","title_canon_sha256":"ded257a97258912c86742c2530d6ed466c39b1b3676c41970a7ad38c94f057ea"},"schema_version":"1.0","source":{"id":"2301.08612","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.08612","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"arxiv_version","alias_value":"2301.08612v1","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.08612","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"pith_short_12","alias_value":"YXVCOIWLMEFH","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"pith_short_16","alias_value":"YXVCOIWLMEFHCXCU","created_at":"2026-07-05T05:34:38Z"},{"alias_kind":"pith_short_8","alias_value":"YXVCOIWL","created_at":"2026-07-05T05:34:38Z"}],"graph_snapshots":[{"event_id":"sha256:dfa40aeed7788d3def5fa7da01709324471503602f112d34e6812423338c3685","target":"graph","created_at":"2026-07-05T05:34:38Z","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/2301.08612/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Knowing HPC applications of jobs and analyzing their performance behavior play important roles in system management and optimizations. The existing approaches detect and identify HPC applications through machine learning models. However, these approaches rely heavily on the manually extracted features from resource utilization data to achieve high prediction accuracy. In this study, we propose an innovative application recognition method, ARcode, which encodes job monitoring data into images and leverages the automatic feature learning capability of convolutional neural networks to detect and ","authors_text":"Brandon Cook, Jie Li, Yong Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-20T14:49:25Z","title":"ARcode: HPC Application Recognition Through Image-encoded Monitoring Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.08612","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":"sha256:23bbb92182f42d98be95404dbba2f14d3295c5d02e5837abec665cf821636656","target":"record","created_at":"2026-07-05T05:34:38Z","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":"5d850ba2208257a614fd3ad23d9cb77914c0018fe87721f21a1d00e3b2eb72db","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DC","submitted_at":"2023-01-20T14:49:25Z","title_canon_sha256":"ded257a97258912c86742c2530d6ed466c39b1b3676c41970a7ad38c94f057ea"},"schema_version":"1.0","source":{"id":"2301.08612","kind":"arxiv","version":1}},"canonical_sha256":"c5ea2722cb610a715c54849c024dde06dbc3ff02978425740f7ed4507e67066b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c5ea2722cb610a715c54849c024dde06dbc3ff02978425740f7ed4507e67066b","first_computed_at":"2026-07-05T05:34:38.264365Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:34:38.264365Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"34Y/7P/CoATD0y1gczIcBU+JZn0ZEOHdPY82vzsrxH846jBtoQ8m7htzVmiQKkmCoOb/8Dn95HrDBlVswvMIBg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:34:38.264806Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.08612","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:23bbb92182f42d98be95404dbba2f14d3295c5d02e5837abec665cf821636656","sha256:dfa40aeed7788d3def5fa7da01709324471503602f112d34e6812423338c3685"],"state_sha256":"218ee90b7fee6fcf0968645f4cd1ee1c5638815cabd28e848d7c0e2975209361"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+7JwP3yOcXaIrK3/WYicjltRewQBSGtJU2hlItfSbcsBGLD+4Tq+fxBd5SK3ZsZic1Hv5XwsK84n7SJG1cDJAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:18:11.877166Z","bundle_sha256":"f5c2f0f30c8e70f2413c0ec734ea74dbacc156d247839f2941ff31f904245c4c"}}