{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:IFAOU7TZM7A7OV56W6NNFDHKUP","short_pith_number":"pith:IFAOU7TZ","schema_version":"1.0","canonical_sha256":"4140ea7e7967c1f757beb79ad28ceaa3e2689366ab55c4c7f5d97765b6a7c7c4","source":{"kind":"arxiv","id":"2607.27958","version":1},"attestation_state":"computed","paper":{"title":"$\\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.MA","authors_text":"Peilin Feng, Soujanya Poria, Suorong Yang","submitted_at":"2026-07-30T10:05:50Z","abstract_excerpt":"Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limitation is particularly important in multi-agent systems, where a central model may be unable to directly verify plausible or correlated peer responses. We introduce $\\Sigma$-Mem, an online reliability memory that records historical competence evidence for individual peers and peer relationship evidence across the peer set. Both forms of evidence are maintained as real symmetric states and updated fr"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.27958","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2026-07-30T10:05:50Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"addc64aa86c9c804fdec39d309faca6300c4219cd393bde59f98e2d6e75ca17a","abstract_canon_sha256":"193bfb0d53bbd858da2606d999dc4e01f4aa77322df200c7727cfba66c6fa9d5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4140ea7e7967c1f757beb79ad28ceaa3e2689366ab55c4c7f5d97765b6a7c7c4","last_reissued_at":"2026-07-31T01:35:03.751475Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-31T01:35:03.751475Z"},"graph_snapshot":{"paper":{"title":"$\\Sigma$-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.MA","authors_text":"Peilin Feng, Soujanya Poria, Suorong Yang","submitted_at":"2026-07-30T10:05:50Z","abstract_excerpt":"Memory is central to long-horizon LLM agents, yet existing memory systems primarily preserve interaction content rather than modeling which agents can be trusted and under what conditions. This limitation is particularly important in multi-agent systems, where a central model may be unable to directly verify plausible or correlated peer responses. We introduce $\\Sigma$-Mem, an online reliability memory that records historical competence evidence for individual peers and peer relationship evidence across the peer set. Both forms of evidence are maintained as real symmetric states and updated fr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27958","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/2607.27958/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.27958","created_at":"2026-07-31T01:35:03.754992+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.27958v1","created_at":"2026-07-31T01:35:03.754992+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27958","created_at":"2026-07-31T01:35:03.754992+00:00"},{"alias_kind":"pith_short_12","alias_value":"IFAOU7TZM7A7","created_at":"2026-07-31T01:35:03.754992+00:00"},{"alias_kind":"pith_short_16","alias_value":"IFAOU7TZM7A7OV56","created_at":"2026-07-31T01:35:03.754992+00:00"},{"alias_kind":"pith_short_8","alias_value":"IFAOU7TZ","created_at":"2026-07-31T01:35:03.754992+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP","json":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP.json","graph_json":"https://pith.science/api/pith-number/IFAOU7TZM7A7OV56W6NNFDHKUP/graph.json","events_json":"https://pith.science/api/pith-number/IFAOU7TZM7A7OV56W6NNFDHKUP/events.json","paper":"https://pith.science/paper/IFAOU7TZ"},"agent_actions":{"view_html":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP","download_json":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP.json","view_paper":"https://pith.science/paper/IFAOU7TZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.27958&json=true","fetch_graph":"https://pith.science/api/pith-number/IFAOU7TZM7A7OV56W6NNFDHKUP/graph.json","fetch_events":"https://pith.science/api/pith-number/IFAOU7TZM7A7OV56W6NNFDHKUP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP/action/storage_attestation","attest_author":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP/action/author_attestation","sign_citation":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP/action/citation_signature","submit_replication":"https://pith.science/pith/IFAOU7TZM7A7OV56W6NNFDHKUP/action/replication_record"}},"created_at":"2026-07-31T01:35:03.754992+00:00","updated_at":"2026-07-31T01:35:03.754992+00:00"}