{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:F4T2BENUSM72U3CPIDJRALMOWT","short_pith_number":"pith:F4T2BENU","canonical_record":{"source":{"id":"2606.04492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-03T06:15:39Z","cross_cats_sorted":["cs.GT"],"title_canon_sha256":"67ec830627e492fa0e08567a727c3d510683ea3e84be4eb82ced1bab922ab703","abstract_canon_sha256":"3373b5b5c139ad3211130fa70159e51945504325fec7d88c3864cc76c64868d9"},"schema_version":"1.0"},"canonical_sha256":"2f27a091b4933faa6c4f40d3102d8eb4db39d885e6a3740da720cb77a498fbcc","source":{"kind":"arxiv","id":"2606.04492","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04492","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04492v1","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04492","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"F4T2BENUSM72","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"F4T2BENUSM72U3CP","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"F4T2BENU","created_at":"2026-06-04T01:09:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:F4T2BENUSM72U3CPIDJRALMOWT","target":"record","payload":{"canonical_record":{"source":{"id":"2606.04492","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-03T06:15:39Z","cross_cats_sorted":["cs.GT"],"title_canon_sha256":"67ec830627e492fa0e08567a727c3d510683ea3e84be4eb82ced1bab922ab703","abstract_canon_sha256":"3373b5b5c139ad3211130fa70159e51945504325fec7d88c3864cc76c64868d9"},"schema_version":"1.0"},"canonical_sha256":"2f27a091b4933faa6c4f40d3102d8eb4db39d885e6a3740da720cb77a498fbcc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-04T01:09:11.363953Z","signature_b64":"a/3kFd9RGXf/Gmx7+4PBMnZag8zoe1rB5Etz9QMror2bK2KhOs7vszZbmJHn74G5ZHs2Z7ONHWAxIi3tNWVPCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f27a091b4933faa6c4f40d3102d8eb4db39d885e6a3740da720cb77a498fbcc","last_reissued_at":"2026-06-04T01:09:11.363432Z","signature_status":"signed_v1","first_computed_at":"2026-06-04T01:09:11.363432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.04492","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":"2026-06-04T01:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Vrg2XiTr5DtxGWtzVhWHtbLJfnNvWteH4h6Cnbmyx7qoZRhVUCPFRuwG4k75x+o42TcQznzgsa7Un023ac5+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T00:49:31.643926Z"},"content_sha256":"51382e694b022036482d3e91be7a74784ab221cc17e89a703c6e142fee7a9805","schema_version":"1.0","event_id":"sha256:51382e694b022036482d3e91be7a74784ab221cc17e89a703c6e142fee7a9805"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:F4T2BENUSM72U3CPIDJRALMOWT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GT"],"primary_cat":"cs.LG","authors_text":"Chengzhengxu Li, Xiaoming Liu, Yu Lan, Zhaohan Zhang, Zicheng Zhao","submitted_at":"2026-06-03T06:15:39Z","abstract_excerpt":"Cooperative Multi-Agent Reinforcement Learning (MARL) frequently suffers from severe reward sparsity and exploration bottlenecks. While episodic memory mechanisms mitigate these issues by reusing high-return trajectories, they often trap agents in local optima due to unconstrained incentive distribution and semantic representation collapse. To address this, we propose Episodic Memory Temporal Consistency (EMTC), a framework that robustly constructs and selectively leverages historical experiences. EMTC introduces two synergistic components: (1) a Temporally Consistent Semantic Embedder that in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04492","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/2606.04492/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":"2026-06-04T01:09:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rDGZIibJiUc4mofv7zcf1HK5Hdpx/n0UjDKREKPd5iGzF97PxYWC9QO3yhPc6wRWV+hv0/EHz2bCUcdOGUdFDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T00:49:31.644327Z"},"content_sha256":"afb8de15667f0bde411ed78fb2b27d0d79ddd13288c1324bc36c21e24ea029a9","schema_version":"1.0","event_id":"sha256:afb8de15667f0bde411ed78fb2b27d0d79ddd13288c1324bc36c21e24ea029a9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4T2BENUSM72U3CPIDJRALMOWT/bundle.json","state_url":"https://pith.science/pith/F4T2BENUSM72U3CPIDJRALMOWT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4T2BENUSM72U3CPIDJRALMOWT/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":"2026-07-03T00:49:31Z","links":{"resolver":"https://pith.science/pith/F4T2BENUSM72U3CPIDJRALMOWT","bundle":"https://pith.science/pith/F4T2BENUSM72U3CPIDJRALMOWT/bundle.json","state":"https://pith.science/pith/F4T2BENUSM72U3CPIDJRALMOWT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4T2BENUSM72U3CPIDJRALMOWT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:F4T2BENUSM72U3CPIDJRALMOWT","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":"3373b5b5c139ad3211130fa70159e51945504325fec7d88c3864cc76c64868d9","cross_cats_sorted":["cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-03T06:15:39Z","title_canon_sha256":"67ec830627e492fa0e08567a727c3d510683ea3e84be4eb82ced1bab922ab703"},"schema_version":"1.0","source":{"id":"2606.04492","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.04492","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"arxiv_version","alias_value":"2606.04492v1","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.04492","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"pith_short_12","alias_value":"F4T2BENUSM72","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"pith_short_16","alias_value":"F4T2BENUSM72U3CP","created_at":"2026-06-04T01:09:11Z"},{"alias_kind":"pith_short_8","alias_value":"F4T2BENU","created_at":"2026-06-04T01:09:11Z"}],"graph_snapshots":[{"event_id":"sha256:afb8de15667f0bde411ed78fb2b27d0d79ddd13288c1324bc36c21e24ea029a9","target":"graph","created_at":"2026-06-04T01:09:11Z","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/2606.04492/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cooperative Multi-Agent Reinforcement Learning (MARL) frequently suffers from severe reward sparsity and exploration bottlenecks. While episodic memory mechanisms mitigate these issues by reusing high-return trajectories, they often trap agents in local optima due to unconstrained incentive distribution and semantic representation collapse. To address this, we propose Episodic Memory Temporal Consistency (EMTC), a framework that robustly constructs and selectively leverages historical experiences. EMTC introduces two synergistic components: (1) a Temporally Consistent Semantic Embedder that in","authors_text":"Chengzhengxu Li, Xiaoming Liu, Yu Lan, Zhaohan Zhang, Zicheng Zhao","cross_cats":["cs.GT"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-03T06:15:39Z","title":"Episodic Memory Temporal Consistency for Cooperative Multi-Agent Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.04492","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":"sha256:51382e694b022036482d3e91be7a74784ab221cc17e89a703c6e142fee7a9805","target":"record","created_at":"2026-06-04T01:09:11Z","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":"3373b5b5c139ad3211130fa70159e51945504325fec7d88c3864cc76c64868d9","cross_cats_sorted":["cs.GT"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-03T06:15:39Z","title_canon_sha256":"67ec830627e492fa0e08567a727c3d510683ea3e84be4eb82ced1bab922ab703"},"schema_version":"1.0","source":{"id":"2606.04492","kind":"arxiv","version":1}},"canonical_sha256":"2f27a091b4933faa6c4f40d3102d8eb4db39d885e6a3740da720cb77a498fbcc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f27a091b4933faa6c4f40d3102d8eb4db39d885e6a3740da720cb77a498fbcc","first_computed_at":"2026-06-04T01:09:11.363432Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-04T01:09:11.363432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"a/3kFd9RGXf/Gmx7+4PBMnZag8zoe1rB5Etz9QMror2bK2KhOs7vszZbmJHn74G5ZHs2Z7ONHWAxIi3tNWVPCg==","signature_status":"signed_v1","signed_at":"2026-06-04T01:09:11.363953Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.04492","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:51382e694b022036482d3e91be7a74784ab221cc17e89a703c6e142fee7a9805","sha256:afb8de15667f0bde411ed78fb2b27d0d79ddd13288c1324bc36c21e24ea029a9"],"state_sha256":"4afa8fef7cba6af7f17a1151230b11d09c3aa7c34ed75a130b653af5ef67ed4b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6wiFNRUkMBdefinO4q1r5ZzAPZy0P0gB9uhdYSfruMlRYSaWk+6NdJqN2AcN+bC8f0u8ZKPbMM2pzXU2v3b2DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T00:49:31.646408Z","bundle_sha256":"ef01ca4d8f7dcb1aa459d61900ec5a3d0a19b6ad6a804b350bcffa7302b88ba7"}}