{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6HEWO3MIXCYTVUMPVOCRBAAXKW","short_pith_number":"pith:6HEWO3MI","canonical_record":{"source":{"id":"2605.17348","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T09:38:18Z","cross_cats_sorted":[],"title_canon_sha256":"da5e6a931fc9c5f53c0d991f1abbe07670f76be0060662438b0f7cd02068bd63","abstract_canon_sha256":"8bae48a3b4471c8ef0502935402da200ee6017616437a0936f60145563b3beba"},"schema_version":"1.0"},"canonical_sha256":"f1c9676d88b8b13ad18fab8510801755b374c125933ea12270be8336f9d7c823","source":{"kind":"arxiv","id":"2605.17348","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17348","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17348v1","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17348","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"6HEWO3MIXCYT","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"6HEWO3MIXCYTVUMP","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"6HEWO3MI","created_at":"2026-05-20T00:03:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6HEWO3MIXCYTVUMPVOCRBAAXKW","target":"record","payload":{"canonical_record":{"source":{"id":"2605.17348","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T09:38:18Z","cross_cats_sorted":[],"title_canon_sha256":"da5e6a931fc9c5f53c0d991f1abbe07670f76be0060662438b0f7cd02068bd63","abstract_canon_sha256":"8bae48a3b4471c8ef0502935402da200ee6017616437a0936f60145563b3beba"},"schema_version":"1.0"},"canonical_sha256":"f1c9676d88b8b13ad18fab8510801755b374c125933ea12270be8336f9d7c823","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:03:53.520356Z","signature_b64":"8n42RwE8iIVpW8asJlM5RazVNpfFwcb3oPNFsAbBt4qZdPqu2LuzD8pEnYeHuHS6BtWaraVQAM+BNoVQdkVLCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1c9676d88b8b13ad18fab8510801755b374c125933ea12270be8336f9d7c823","last_reissued_at":"2026-05-20T00:03:53.519578Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:03:53.519578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.17348","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":"2026-05-20T00:03:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0v/2rO+5Ig66NO2JApRzxo7hUHNXPYCRpeVEnC+uTKKeU1JcRwT3RYg4rDwu97hzm+F3Jb2Lya7CZ1WfAlUHCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T03:18:47.519936Z"},"content_sha256":"463a0e9b4d2e18f651afaf6b0aef680520c10f63f48b4f1ff7e5bfcc20c91537","schema_version":"1.0","event_id":"sha256:463a0e9b4d2e18f651afaf6b0aef680520c10f63f48b4f1ff7e5bfcc20c91537"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6HEWO3MIXCYTVUMPVOCRBAAXKW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Taming \"Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chen Chen, Chengyu Wang, Jiuheng Wan, Pukun Zhao, Qizhou Chen, Richang Hong, Taolin Zhang, Xiaofeng He","submitted_at":"2026-05-17T09:38:18Z","abstract_excerpt":"Recent advancements in LLM-based multi-agent systems have demonstrated remarkable collaborative capabilities across complex tasks. To improve overall efficiency, existing methods often rely on aggressive graph evolution among agents (e.g., node or edge pruning), which risks prematurely discarding valuable agents due to transient issues such as hallucinations or temporary knowledge gaps. However, such hard pruning overlooks the potential for ``zombie'' agents to recover and contribute in subsequent discussion rounds. In this paper, we propose AgentRevive, a Markov state-aware framework for resi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17348","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/2605.17348/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T21:41:57.796218Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.732951Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"b90818113faaa7a54e28395b2511ff4738d10c3d31a30b683f77bf16f243cf70"},"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":"2026-05-20T00:03:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xA7LaMRuEP8khd6dyhF5GUcbQrpFg14Tnq+65JxT8IzSqdf3ZuwLVfClLLpTAv3HY1z5VLswfVc9desnsGdnBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T03:18:47.520641Z"},"content_sha256":"9042132e48a0e1176064b312d0802bd95f685af0f2e256eca50ea81bd6a94a50","schema_version":"1.0","event_id":"sha256:9042132e48a0e1176064b312d0802bd95f685af0f2e256eca50ea81bd6a94a50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW/bundle.json","state_url":"https://pith.science/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW/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":"2026-05-22T03:18:47Z","links":{"resolver":"https://pith.science/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW","bundle":"https://pith.science/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW/bundle.json","state":"https://pith.science/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6HEWO3MIXCYTVUMPVOCRBAAXKW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6HEWO3MIXCYTVUMPVOCRBAAXKW","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":"8bae48a3b4471c8ef0502935402da200ee6017616437a0936f60145563b3beba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T09:38:18Z","title_canon_sha256":"da5e6a931fc9c5f53c0d991f1abbe07670f76be0060662438b0f7cd02068bd63"},"schema_version":"1.0","source":{"id":"2605.17348","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.17348","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"arxiv_version","alias_value":"2605.17348v1","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17348","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_12","alias_value":"6HEWO3MIXCYT","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_16","alias_value":"6HEWO3MIXCYTVUMP","created_at":"2026-05-20T00:03:53Z"},{"alias_kind":"pith_short_8","alias_value":"6HEWO3MI","created_at":"2026-05-20T00:03:53Z"}],"graph_snapshots":[{"event_id":"sha256:9042132e48a0e1176064b312d0802bd95f685af0f2e256eca50ea81bd6a94a50","target":"graph","created_at":"2026-05-20T00:03:53Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T21:41:57.796218Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T21:33:23.732951Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.17348/integrity.json","findings":[],"snapshot_sha256":"b90818113faaa7a54e28395b2511ff4738d10c3d31a30b683f77bf16f243cf70","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in LLM-based multi-agent systems have demonstrated remarkable collaborative capabilities across complex tasks. To improve overall efficiency, existing methods often rely on aggressive graph evolution among agents (e.g., node or edge pruning), which risks prematurely discarding valuable agents due to transient issues such as hallucinations or temporary knowledge gaps. However, such hard pruning overlooks the potential for ``zombie'' agents to recover and contribute in subsequent discussion rounds. In this paper, we propose AgentRevive, a Markov state-aware framework for resi","authors_text":"Chen Chen, Chengyu Wang, Jiuheng Wan, Pukun Zhao, Qizhou Chen, Richang Hong, Taolin Zhang, Xiaofeng He","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T09:38:18Z","title":"Taming \"Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17348","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":"sha256:463a0e9b4d2e18f651afaf6b0aef680520c10f63f48b4f1ff7e5bfcc20c91537","target":"record","created_at":"2026-05-20T00:03:53Z","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":"8bae48a3b4471c8ef0502935402da200ee6017616437a0936f60145563b3beba","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-17T09:38:18Z","title_canon_sha256":"da5e6a931fc9c5f53c0d991f1abbe07670f76be0060662438b0f7cd02068bd63"},"schema_version":"1.0","source":{"id":"2605.17348","kind":"arxiv","version":1}},"canonical_sha256":"f1c9676d88b8b13ad18fab8510801755b374c125933ea12270be8336f9d7c823","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1c9676d88b8b13ad18fab8510801755b374c125933ea12270be8336f9d7c823","first_computed_at":"2026-05-20T00:03:53.519578Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:03:53.519578Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8n42RwE8iIVpW8asJlM5RazVNpfFwcb3oPNFsAbBt4qZdPqu2LuzD8pEnYeHuHS6BtWaraVQAM+BNoVQdkVLCw==","signature_status":"signed_v1","signed_at":"2026-05-20T00:03:53.520356Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.17348","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:463a0e9b4d2e18f651afaf6b0aef680520c10f63f48b4f1ff7e5bfcc20c91537","sha256:9042132e48a0e1176064b312d0802bd95f685af0f2e256eca50ea81bd6a94a50"],"state_sha256":"59e7f41aa896d7c2c63c55a901826609aac77ab4dd0c9cb6c9ae15e52cbda613"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HQqHCZ+3cgW1b0hPEjtOnkhbJbz/d0V9N8AtSgsT0+VHqZyzPwoilPBdy/zrWbngbwHBG6V0ORQHjL0bC+YlAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T03:18:47.523946Z","bundle_sha256":"32973db41688e2332f2074736a12f812ef0cb59889378675fae83194dfdfa131"}}