{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:3VSRKNJ6LPCOIQ2LGXCOV572Y3","short_pith_number":"pith:3VSRKNJ6","canonical_record":{"source":{"id":"2605.11333","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2026-05-11T23:38:10Z","cross_cats_sorted":["cs.LG","cs.PF"],"title_canon_sha256":"e2763b8aa3ecb08f5448af653cad0dc5c7152b735fb4200644ff38a052cee15c","abstract_canon_sha256":"ddda8730e0e3f236316c3669e719d27c4465cdd15463bf90a0df89241ddb1eac"},"schema_version":"1.0"},"canonical_sha256":"dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74","source":{"kind":"arxiv","id":"2605.11333","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.11333","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.11333v2","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.11333","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"pith_short_12","alias_value":"3VSRKNJ6LPCO","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"pith_short_16","alias_value":"3VSRKNJ6LPCOIQ2L","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"pith_short_8","alias_value":"3VSRKNJ6","created_at":"2026-05-20T00:03:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:3VSRKNJ6LPCOIQ2LGXCOV572Y3","target":"record","payload":{"canonical_record":{"source":{"id":"2605.11333","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2026-05-11T23:38:10Z","cross_cats_sorted":["cs.LG","cs.PF"],"title_canon_sha256":"e2763b8aa3ecb08f5448af653cad0dc5c7152b735fb4200644ff38a052cee15c","abstract_canon_sha256":"ddda8730e0e3f236316c3669e719d27c4465cdd15463bf90a0df89241ddb1eac"},"schema_version":"1.0"},"canonical_sha256":"dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:17.678389Z","signature_b64":"0jukbkBtwUkZTPkL9JRnvqW1F/Xy9KLcWWNNpJYHkNPwAoR/OtO0TqGGuZ5tsRMXBra8Txc3JuWXUurjX/W+CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74","last_reissued_at":"2026-05-20T00:03:17.677501Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:17.677501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.11333","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:03:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O8d6BhckpzMyQ6cA6gSAli0KMagX2S47jpb9jTZ8E0YO6IS2Ut9k7ZzVRG2PdqehyswE3lXdxrkIhWguincFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:16:57.297290Z"},"content_sha256":"fde9e998e3238093321210b560ecc0451d17171ed01b006589286279525166f4","schema_version":"1.0","event_id":"sha256:fde9e998e3238093321210b560ecc0451d17171ed01b006589286279525166f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:3VSRKNJ6LPCOIQ2LGXCOV572Y3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design.","cross_cats":["cs.LG","cs.PF"],"primary_cat":"cs.DC","authors_text":"Andy Balogh, Ashwin Ramachandran, Bradford M. Beckmann, Brian Coutinho, Changhai Man, Dan Mihailescu, David Kanter, Hanjiang Wu, Huan Xu, Jinsun Yoo, Joongun Park, Josh Ladd, Louis Feng, Mehryar Garakani, Phio Tian, Puneet Sharma, Saeed Rashidi, Sanshan Gao, Sheng Fu, Spandan More, Srinivas Sridharan, Taekyung Heo, Tushar Krishna, Vijay Janapa Reddi, Vinay Ramakrishnaiah, William Won, Winston Liu, Ziwei Li","submitted_at":"2026-05-11T23:38:10Z","abstract_excerpt":"The fast pace of artificial intelligence~(AI) innovation demands an agile methodology for observation, reproduction and optimization of distributed machine learning~(ML) workload behavior in production AI systems and enables efficient software-hardware~(SW-HW) co-design for future systems. We present Chakra, an open and portable ecosystem for performance benchmarking and co-design. The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace~(ET). These ETs represent key operations, such as compute, memory, a"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace (ET). These ETs represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the proposed Chakra ET format and associated tools will be effectively adopted and used by a broad range of simulators, emulators, and replay tools to deliver meaningful improvements in benchmarking and co-design.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Chakra introduces a portable, interoperable graph-based execution trace format for distributed ML workloads along with supporting tools to standardize performance benchmarking and software-hardware co-design.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"58c076b44d18faa7fecfe1d3a2b2f9db31044da5b57bb8b2241f975d9ef52f7e"},"source":{"id":"2605.11333","kind":"arxiv","version":2},"verdict":{"id":"0d84f0b2-9137-432f-a0ae-33920100e2e5","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-13T01:24:54.212830Z","strongest_claim":"The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace (ET). These ETs represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints.","one_line_summary":"Chakra introduces a portable, interoperable graph-based execution trace format for distributed ML workloads along with supporting tools to standardize performance benchmarking and software-hardware co-design.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the proposed Chakra ET format and associated tools will be effectively adopted and used by a broad range of simulators, emulators, and replay tools to deliver meaningful improvements in benchmarking and co-design.","pith_extraction_headline":"Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design."},"integrity":{"clean":false,"summary":{"advisory":0,"critical":1,"by_detector":{"ai_meta_artifact":{"total":1,"advisory":0,"critical":1,"informational":0}},"informational":0},"endpoint":"/pith/2605.11333/integrity.json","findings":[{"note":"Verbatim AI-assistant artifact present in paper body: matched pattern 'lorem_ipsum'. The matched span is the literal evidence.","detector":"ai_meta_artifact","severity":"critical","ref_index":null,"audited_at":"2026-05-19T12:37:45.669740Z","detected_doi":null,"finding_type":"lorem_ipsum","verdict_class":"incontrovertible","detected_arxiv_id":null}],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T12:37:45.669740Z","status":"completed","version":"1.0.0","findings_count":1},{"name":"doi_title_agreement","ran_at":"2026-05-19T10:01:16.973255Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"doi_compliance","ran_at":"2026-05-19T08:32:10.117892Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"3592db43df5eb82f8d325b30ccf1cdef2b9c3a6b315b95d90b3ebfa7405abff0"},"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":"0d84f0b2-9137-432f-a0ae-33920100e2e5"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T00:03:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2I6wg1T7vHDcTVd/tteUYv9yzlA15KFE3ecD5Pn6v2KPwXJRGrkr4J+7paOi6NXfLT4Sc5hs+4LE90gNWC+ZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:16:57.297861Z"},"content_sha256":"e28c849bdd4570de105240f8982f191ca6b2eea2dd3887ccbf325a3348abf195","schema_version":"1.0","event_id":"sha256:e28c849bdd4570de105240f8982f191ca6b2eea2dd3887ccbf325a3348abf195"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:3VSRKNJ6LPCOIQ2LGXCOV572Y3","target":"integrity","payload":{"note":"Verbatim AI-assistant artifact present in paper body: matched pattern 'lorem_ipsum'. The matched span is the literal evidence.","snippet":"PLEMENT and TEST  w/ REPRESENTATIVE  BENCHMARKS DESIGN and EVALUATE w/  SIMULATOR/EMULATOR Vestibulum nec congue tempus lorem ipsum DEPLOY at SCALE REPRODUCE via  REPRESENTATIVE  BENCHMARKS OBSERVE in PRODUCTION AI SW/HW  Codesign Loop Figure 1.AI sys","arxiv_id":"2605.11333","detector":"ai_meta_artifact","evidence":{"match":"lorem ipsum","regex_id":"lorem_ipsum","match_offset":3224,"verdict_class":"incontrovertible","context_excerpt":"PLEMENT and TEST  w/ REPRESENTATIVE  BENCHMARKS DESIGN and EVALUATE w/  SIMULATOR/EMULATOR Vestibulum nec congue tempus lorem ipsum DEPLOY at SCALE REPRODUCE via  REPRESENTATIVE  BENCHMARKS OBSERVE in PRODUCTION AI SW/HW  Codesign Loop Figure 1.AI sys","evidence_strength":"literal"},"severity":"critical","ref_index":null,"audited_at":"2026-05-19T12:37:45.669740Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#ai_meta_artifact","external_url":null,"finding_type":"lorem_ipsum","evidence_hash":"eed3e5661ca811bd2d125a3084d4b0f6d0566790fd72b14f4d66c6c5e8d28b66","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":1232,"payload_sha256":"c4ed06e1b0d7a31280bc8cd85cb2365c078f9597d2292cf3963f3a24dae13967","signature_b64":"lBREoaN1NCrHTMDzGgYXVh7CItRz5fEo/pC+za6Lzv5D8foKGLxa6jqBLcd6o5zdBojO9LRuBTlxZQUsKawnBQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-19T12:42:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7rV2Ajuax62NimJtPMALH2h4+W+VNB4k6h/+3yDqOYtOpnikoS4msCsfpTp8UPqfcFgXKRTb6pEorIHcfZalCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T03:16:57.298767Z"},"content_sha256":"02986234f8c8afdab7261c82ecbe004868da7f03409ea649751ed420ae3dda4c","schema_version":"1.0","event_id":"sha256:02986234f8c8afdab7261c82ecbe004868da7f03409ea649751ed420ae3dda4c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3/bundle.json","state_url":"https://pith.science/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3/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":"2026-05-28T03:16:57Z","links":{"resolver":"https://pith.science/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3","bundle":"https://pith.science/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3/bundle.json","state":"https://pith.science/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3VSRKNJ6LPCOIQ2LGXCOV572Y3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:3VSRKNJ6LPCOIQ2LGXCOV572Y3","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ddda8730e0e3f236316c3669e719d27c4465cdd15463bf90a0df89241ddb1eac","cross_cats_sorted":["cs.LG","cs.PF"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2026-05-11T23:38:10Z","title_canon_sha256":"e2763b8aa3ecb08f5448af653cad0dc5c7152b735fb4200644ff38a052cee15c"},"schema_version":"1.0","source":{"id":"2605.11333","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.11333","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"arxiv_version","alias_value":"2605.11333v2","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.11333","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"pith_short_12","alias_value":"3VSRKNJ6LPCO","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"pith_short_16","alias_value":"3VSRKNJ6LPCOIQ2L","created_at":"2026-05-20T00:03:17Z"},{"alias_kind":"pith_short_8","alias_value":"3VSRKNJ6","created_at":"2026-05-20T00:03:17Z"}],"graph_snapshots":[{"event_id":"sha256:e28c849bdd4570de105240f8982f191ca6b2eea2dd3887ccbf325a3348abf195","target":"graph","created_at":"2026-05-20T00:03:17Z","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":4,"items":[{"attestation":"unclaimed","claim_id":"C1","kind":"strongest_claim","source":"verdict.strongest_claim","status":"machine_extracted","text":"The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace (ET). These ETs represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the proposed Chakra ET format and associated tools will be effectively adopted and used by a broad range of simulators, emulators, and replay tools to deliver meaningful improvements in benchmarking and co-design."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"Chakra introduces a portable, interoperable graph-based execution trace format for distributed ML workloads along with supporting tools to standardize performance benchmarking and software-hardware co-design."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design."}],"snapshot_sha256":"58c076b44d18faa7fecfe1d3a2b2f9db31044da5b57bb8b2241f975d9ef52f7e"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":false,"detectors_run":[{"findings_count":1,"name":"ai_meta_artifact","ran_at":"2026-05-19T12:37:45.669740Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_title_agreement","ran_at":"2026-05-19T10:01:16.973255Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"doi_compliance","ran_at":"2026-05-19T08:32:10.117892Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.11333/integrity.json","findings":[{"audited_at":"2026-05-19T12:37:45.669740Z","detected_arxiv_id":null,"detected_doi":null,"detector":"ai_meta_artifact","finding_type":"lorem_ipsum","note":"Verbatim AI-assistant artifact present in paper body: matched pattern 'lorem_ipsum'. The matched span is the literal evidence.","ref_index":null,"severity":"critical","verdict_class":"incontrovertible"}],"snapshot_sha256":"3592db43df5eb82f8d325b30ccf1cdef2b9c3a6b315b95d90b3ebfa7405abff0","summary":{"advisory":0,"by_detector":{"ai_meta_artifact":{"advisory":0,"critical":1,"informational":0,"total":1}},"critical":1,"informational":0}},"paper":{"abstract_excerpt":"The fast pace of artificial intelligence~(AI) innovation demands an agile methodology for observation, reproduction and optimization of distributed machine learning~(ML) workload behavior in production AI systems and enables efficient software-hardware~(SW-HW) co-design for future systems. We present Chakra, an open and portable ecosystem for performance benchmarking and co-design. The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace~(ET). These ETs represent key operations, such as compute, memory, a","authors_text":"Andy Balogh, Ashwin Ramachandran, Bradford M. Beckmann, Brian Coutinho, Changhai Man, Dan Mihailescu, David Kanter, Hanjiang Wu, Huan Xu, Jinsun Yoo, Joongun Park, Josh Ladd, Louis Feng, Mehryar Garakani, Phio Tian, Puneet Sharma, Saeed Rashidi, Sanshan Gao, Sheng Fu, Spandan More, Srinivas Sridharan, Taekyung Heo, Tushar Krishna, Vijay Janapa Reddi, Vinay Ramakrishnaiah, William Won, Winston Liu, Ziwei Li","cross_cats":["cs.LG","cs.PF"],"headline":"Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design.","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2026-05-11T23:38:10Z","title":"MLCommons Chakra: Advancing Performance Benchmarking and Co-design using Standardized Execution Traces"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.11333","kind":"arxiv","version":2},"verdict":{"created_at":"2026-05-13T01:24:54.212830Z","id":"0d84f0b2-9137-432f-a0ae-33920100e2e5","model_set":{"reader":"grok-4.3"},"one_line_summary":"Chakra introduces a portable, interoperable graph-based execution trace format for distributed ML workloads along with supporting tools to standardize performance benchmarking and software-hardware co-design.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Chakra establishes a standardized graph-based execution trace format to represent distributed AI workloads for benchmarking and co-design.","strongest_claim":"The core component of Chakra is an open and interoperable graph-based representation of distributed AI/ML workloads, called Chakra execution trace (ET). These ETs represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints.","weakest_assumption":"That the proposed Chakra ET format and associated tools will be effectively adopted and used by a broad range of simulators, emulators, and replay tools to deliver meaningful improvements in benchmarking and co-design."}},"verdict_id":"0d84f0b2-9137-432f-a0ae-33920100e2e5"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:fde9e998e3238093321210b560ecc0451d17171ed01b006589286279525166f4","target":"record","created_at":"2026-05-20T00:03:17Z","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":"ddda8730e0e3f236316c3669e719d27c4465cdd15463bf90a0df89241ddb1eac","cross_cats_sorted":["cs.LG","cs.PF"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DC","submitted_at":"2026-05-11T23:38:10Z","title_canon_sha256":"e2763b8aa3ecb08f5448af653cad0dc5c7152b735fb4200644ff38a052cee15c"},"schema_version":"1.0","source":{"id":"2605.11333","kind":"arxiv","version":2}},"canonical_sha256":"dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd6515353e5bc4e4434b35c4eaf7fac6ecfa859a0310f6ba0dcccc0913d6ad74","first_computed_at":"2026-05-20T00:03:17.677501Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:03:17.677501Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0jukbkBtwUkZTPkL9JRnvqW1F/Xy9KLcWWNNpJYHkNPwAoR/OtO0TqGGuZ5tsRMXBra8Txc3JuWXUurjX/W+CQ==","signature_status":"signed_v1","signed_at":"2026-05-20T00:03:17.678389Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.11333","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02986234f8c8afdab7261c82ecbe004868da7f03409ea649751ed420ae3dda4c","sha256:fde9e998e3238093321210b560ecc0451d17171ed01b006589286279525166f4","sha256:e28c849bdd4570de105240f8982f191ca6b2eea2dd3887ccbf325a3348abf195"],"state_sha256":"bccfd13a42a91b56516cda3d7115b08342aabfc60231db816243a98205fe6cf3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E2yrETxyKb3VVnqFMeABK9E1ab9K6zCvnjP+Rg4wExrrs55gmH7n1Gb8BLeMxUA7J9NI6pmqVZmQq9IeeCV8DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T03:16:57.310630Z","bundle_sha256":"3743d547172908b35731ec59b2ae0bdd2d3043489775eb42efb5a72bb81e145a"}}