{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:46RKXVCNPMTP347F4R6DQV3YMJ","short_pith_number":"pith:46RKXVCN","canonical_record":{"source":{"id":"2605.13172","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T08:33:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0a231779bb6280abeca5d969452f38bf3497f04a41631cd8fd954700dce48ddc","abstract_canon_sha256":"9d4b770884d50965b1b4c3de7c0f5706ab5477601ebe5e8578472ff736f53915"},"schema_version":"1.0"},"canonical_sha256":"e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd","source":{"kind":"arxiv","id":"2605.13172","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.13172","created_at":"2026-05-18T03:08:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.13172v1","created_at":"2026-05-18T03:08:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13172","created_at":"2026-05-18T03:08:56Z"},{"alias_kind":"pith_short_12","alias_value":"46RKXVCNPMTP","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"46RKXVCNPMTP347F","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"46RKXVCN","created_at":"2026-05-18T12:33:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:46RKXVCNPMTP347F4R6DQV3YMJ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.13172","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T08:33:28Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0a231779bb6280abeca5d969452f38bf3497f04a41631cd8fd954700dce48ddc","abstract_canon_sha256":"9d4b770884d50965b1b4c3de7c0f5706ab5477601ebe5e8578472ff736f53915"},"schema_version":"1.0"},"canonical_sha256":"e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:08:56.524814Z","signature_b64":"MxE+86iwM0y4wXGSr1Fy9f8sT06WXeryeJ+NX71Nisspdm3QC+7sioDwgjBo4+bDVLfxWAoKztmQxFmG5DG5Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd","last_reissued_at":"2026-05-18T03:08:56.523987Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:08:56.523987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.13172","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":"2026-05-18T03:08:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q0X9bNbLLkkUkAuZos1zRR4THF4f76b+/AB5+HUuM63coXwfd0chUEBKno+3MSSYRfGC55CmEc8OhVu/FF2mBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T03:48:41.809402Z"},"content_sha256":"d7f3e98955b1486ea9395a40c34b660d2e0fd61fbade849326da73f4e44f1e88","schema_version":"1.0","event_id":"sha256:d7f3e98955b1486ea9395a40c34b660d2e0fd61fbade849326da73f4e44f1e88"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:46RKXVCNPMTP347F4R6DQV3YMJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling","license":"http://creativecommons.org/licenses/by/4.0/","headline":"Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load.","cross_cats":["cs.AI"],"primary_cat":"cs.MA","authors_text":"Hailiang Zhao, Wenzhuo Qian, Yuhao Yang, Zhiwei Ling, Ziqi Wang","submitted_at":"2026-05-13T08:33:28Z","abstract_excerpt":"Recent advances in agent and multi-agent systems have shown strong performance on tool use, reasoning, and collaborative tasks. However, existing benchmarks mostly evaluate task completion in weakly coupled environments, and provide limited support for studying coordination in shared, dynamically evolving systems with hierarchy and coupled constraints. This leaves an important question underexplored: when do different coordination paradigms succeed or fail? We introduce Distributed Event-driven Scheduling Benchmark (DESBench), a benchmark for evaluating agent coordination in hierarchical event"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Our controlled evaluations reveal clear coordination trade-offs: centralized coordination is robust and communication-efficient but scales poorly with difficulty; hierarchical coordination improves efficiency through decomposition but suffers from cross-level misalignment; heterarchical coordination is flexible but communication-heavy; and holonic coordination satisfies constraints well but loses global robustness.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That the four chosen coordination paradigms and the defined tasks/metrics in DESBench sufficiently capture the essential mechanisms of information flow, decision authority, and conflict resolution in real event-driven industrial systems with partial observability.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"DESBench reveals structural trade-offs among centralized, hierarchical, heterarchical, and holonic coordination in dynamic industrial scheduling that outcome metrics alone miss.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"458f413daa02f9f0c4b094bb44c6895a1b4a72d97a7130d30272305c66da49d4"},"source":{"id":"2605.13172","kind":"arxiv","version":1},"verdict":{"id":"7c86450b-71e8-4c26-898a-25e164534a71","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-14T02:14:57.771418Z","strongest_claim":"Our controlled evaluations reveal clear coordination trade-offs: centralized coordination is robust and communication-efficient but scales poorly with difficulty; hierarchical coordination improves efficiency through decomposition but suffers from cross-level misalignment; heterarchical coordination is flexible but communication-heavy; and holonic coordination satisfies constraints well but loses global robustness.","one_line_summary":"DESBench reveals structural trade-offs among centralized, hierarchical, heterarchical, and holonic coordination in dynamic industrial scheduling that outcome metrics alone miss.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That the four chosen coordination paradigms and the defined tasks/metrics in DESBench sufficiently capture the essential mechanisms of information flow, decision authority, and conflict resolution in real event-driven industrial systems with partial observability.","pith_extraction_headline":"Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load."},"references":{"count":41,"sample":[{"doi":"","year":2025,"title":"Agentic services computing","work_id":"9988ed71-0655-4a78-a24c-05ac6a182a0b","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9","work_id":"80ac260c-986d-4778-a3fc-6acec3707a10","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Overcoming the sim-to-real gap: Leveraging simulation to learn to explore for real-world rl","work_id":"e907be2d-aabc-40bd-9a11-19a5b3823b33","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Modeling complex system dynamics with flow matching across time and conditions","work_id":"6b28b2d1-836c-4c2b-865a-09c1493f4a74","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2025,"title":"Multiagentbench: Evaluating the collaboration and competition of llm agents","work_id":"8b802e6f-b180-4435-b820-6f035fa679cb","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":41,"snapshot_sha256":"006652915d603ef8708ae6dcc32ddab8d81873bcbe457311d8202fbf54560788","internal_anchors":0},"formal_canon":{"evidence_count":2,"snapshot_sha256":"a97a4d6171678851dad5127b48dc81d5d107b5eb1e5f5bb3d1f60c9909493de1"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":"7c86450b-71e8-4c26-898a-25e164534a71"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:08:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4GhaA4ishqEyHLEQJJ5l4cVqZsH1p1kVflKgXAgYsdUZQtpjL+MkqeSfRImAr5m03p2nMOPtPFcSubTgIJ0LAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-23T03:48:41.809983Z"},"content_sha256":"d1b3cf2bdc9d4d3c57ca9a242e1600cbfbc79fdc15d8abb76e174b998ed0d24e","schema_version":"1.0","event_id":"sha256:d1b3cf2bdc9d4d3c57ca9a242e1600cbfbc79fdc15d8abb76e174b998ed0d24e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/46RKXVCNPMTP347F4R6DQV3YMJ/bundle.json","state_url":"https://pith.science/pith/46RKXVCNPMTP347F4R6DQV3YMJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/46RKXVCNPMTP347F4R6DQV3YMJ/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":"2026-05-23T03:48:41Z","links":{"resolver":"https://pith.science/pith/46RKXVCNPMTP347F4R6DQV3YMJ","bundle":"https://pith.science/pith/46RKXVCNPMTP347F4R6DQV3YMJ/bundle.json","state":"https://pith.science/pith/46RKXVCNPMTP347F4R6DQV3YMJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/46RKXVCNPMTP347F4R6DQV3YMJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:46RKXVCNPMTP347F4R6DQV3YMJ","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":"9d4b770884d50965b1b4c3de7c0f5706ab5477601ebe5e8578472ff736f53915","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T08:33:28Z","title_canon_sha256":"0a231779bb6280abeca5d969452f38bf3497f04a41631cd8fd954700dce48ddc"},"schema_version":"1.0","source":{"id":"2605.13172","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.13172","created_at":"2026-05-18T03:08:56Z"},{"alias_kind":"arxiv_version","alias_value":"2605.13172v1","created_at":"2026-05-18T03:08:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.13172","created_at":"2026-05-18T03:08:56Z"},{"alias_kind":"pith_short_12","alias_value":"46RKXVCNPMTP","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_16","alias_value":"46RKXVCNPMTP347F","created_at":"2026-05-18T12:33:37Z"},{"alias_kind":"pith_short_8","alias_value":"46RKXVCN","created_at":"2026-05-18T12:33:37Z"}],"graph_snapshots":[{"event_id":"sha256:d1b3cf2bdc9d4d3c57ca9a242e1600cbfbc79fdc15d8abb76e174b998ed0d24e","target":"graph","created_at":"2026-05-18T03:08:56Z","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":"Our controlled evaluations reveal clear coordination trade-offs: centralized coordination is robust and communication-efficient but scales poorly with difficulty; hierarchical coordination improves efficiency through decomposition but suffers from cross-level misalignment; heterarchical coordination is flexible but communication-heavy; and holonic coordination satisfies constraints well but loses global robustness."},{"attestation":"unclaimed","claim_id":"C2","kind":"weakest_assumption","source":"verdict.weakest_assumption","status":"machine_extracted","text":"That the four chosen coordination paradigms and the defined tasks/metrics in DESBench sufficiently capture the essential mechanisms of information flow, decision authority, and conflict resolution in real event-driven industrial systems with partial observability."},{"attestation":"unclaimed","claim_id":"C3","kind":"one_line_summary","source":"verdict.one_line_summary","status":"machine_extracted","text":"DESBench reveals structural trade-offs among centralized, hierarchical, heterarchical, and holonic coordination in dynamic industrial scheduling that outcome metrics alone miss."},{"attestation":"unclaimed","claim_id":"C4","kind":"headline","source":"verdict.pith_extraction.headline","status":"machine_extracted","text":"Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load."}],"snapshot_sha256":"458f413daa02f9f0c4b094bb44c6895a1b4a72d97a7130d30272305c66da49d4"},"formal_canon":{"evidence_count":2,"snapshot_sha256":"a97a4d6171678851dad5127b48dc81d5d107b5eb1e5f5bb3d1f60c9909493de1"},"paper":{"abstract_excerpt":"Recent advances in agent and multi-agent systems have shown strong performance on tool use, reasoning, and collaborative tasks. However, existing benchmarks mostly evaluate task completion in weakly coupled environments, and provide limited support for studying coordination in shared, dynamically evolving systems with hierarchy and coupled constraints. This leaves an important question underexplored: when do different coordination paradigms succeed or fail? We introduce Distributed Event-driven Scheduling Benchmark (DESBench), a benchmark for evaluating agent coordination in hierarchical event","authors_text":"Hailiang Zhao, Wenzhuo Qian, Yuhao Yang, Zhiwei Ling, Ziqi Wang","cross_cats":["cs.AI"],"headline":"Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load.","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T08:33:28Z","title":"When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling"},"references":{"count":41,"internal_anchors":0,"resolved_work":41,"sample":[{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":1,"title":"Agentic services computing","work_id":"9988ed71-0655-4a78-a24c-05ac6a182a0b","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":2,"title":"A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9","work_id":"80ac260c-986d-4778-a3fc-6acec3707a10","year":2024},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":3,"title":"Overcoming the sim-to-real gap: Leveraging simulation to learn to explore for real-world rl","work_id":"e907be2d-aabc-40bd-9a11-19a5b3823b33","year":2024},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":4,"title":"Modeling complex system dynamics with flow matching across time and conditions","work_id":"6b28b2d1-836c-4c2b-865a-09c1493f4a74","year":2025},{"cited_arxiv_id":"","doi":"","is_internal_anchor":false,"ref_index":5,"title":"Multiagentbench: Evaluating the collaboration and competition of llm agents","work_id":"8b802e6f-b180-4435-b820-6f035fa679cb","year":2025}],"snapshot_sha256":"006652915d603ef8708ae6dcc32ddab8d81873bcbe457311d8202fbf54560788"},"source":{"id":"2605.13172","kind":"arxiv","version":1},"verdict":{"created_at":"2026-05-14T02:14:57.771418Z","id":"7c86450b-71e8-4c26-898a-25e164534a71","model_set":{"reader":"grok-4.3"},"one_line_summary":"DESBench reveals structural trade-offs among centralized, hierarchical, heterarchical, and holonic coordination in dynamic industrial scheduling that outcome metrics alone miss.","pipeline_version":"pith-pipeline@v0.9.0","pith_extraction_headline":"Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load.","strongest_claim":"Our controlled evaluations reveal clear coordination trade-offs: centralized coordination is robust and communication-efficient but scales poorly with difficulty; hierarchical coordination improves efficiency through decomposition but suffers from cross-level misalignment; heterarchical coordination is flexible but communication-heavy; and holonic coordination satisfies constraints well but loses global robustness.","weakest_assumption":"That the four chosen coordination paradigms and the defined tasks/metrics in DESBench sufficiently capture the essential mechanisms of information flow, decision authority, and conflict resolution in real event-driven industrial systems with partial observability."}},"verdict_id":"7c86450b-71e8-4c26-898a-25e164534a71"}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d7f3e98955b1486ea9395a40c34b660d2e0fd61fbade849326da73f4e44f1e88","target":"record","created_at":"2026-05-18T03:08:56Z","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":"9d4b770884d50965b1b4c3de7c0f5706ab5477601ebe5e8578472ff736f53915","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MA","submitted_at":"2026-05-13T08:33:28Z","title_canon_sha256":"0a231779bb6280abeca5d969452f38bf3497f04a41631cd8fd954700dce48ddc"},"schema_version":"1.0","source":{"id":"2605.13172","kind":"arxiv","version":1}},"canonical_sha256":"e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd","first_computed_at":"2026-05-18T03:08:56.523987Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:08:56.523987Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MxE+86iwM0y4wXGSr1Fy9f8sT06WXeryeJ+NX71Nisspdm3QC+7sioDwgjBo4+bDVLfxWAoKztmQxFmG5DG5Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:08:56.524814Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.13172","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7f3e98955b1486ea9395a40c34b660d2e0fd61fbade849326da73f4e44f1e88","sha256:d1b3cf2bdc9d4d3c57ca9a242e1600cbfbc79fdc15d8abb76e174b998ed0d24e"],"state_sha256":"fdc7343ffb7da2d37deee90559e5cc4db114ec4c79a1cfe61c49e114ae59bd08"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qqOI7qmkePZILGsi5+3DKIDM8bWW5CfPOgpVzNy8wBwjIMUHauxgvMVn7tC1HBoItgUySJLcr5EeeY+r1CPwCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-23T03:48:41.813666Z","bundle_sha256":"c38314e70d535fbea6743a2a2ee776b1d85da5827fb5fdda789a795ddf28a376"}}