{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UK63K3XRPKZWGRVJGALTEYCX7W","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":"90a20d94e0a97e0d4a8780b41df7431f51b91c37b79c531bc84fede6ba77aead","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T09:15:33Z","title_canon_sha256":"ffa8b356cb4bae392613a2e402b44773445bac7824e062595a5ee473b853305e"},"schema_version":"1.0","source":{"id":"2606.10616","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10616","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10616v1","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10616","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"pith_short_12","alias_value":"UK63K3XRPKZW","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"pith_short_16","alias_value":"UK63K3XRPKZWGRVJ","created_at":"2026-06-10T01:10:29Z"},{"alias_kind":"pith_short_8","alias_value":"UK63K3XR","created_at":"2026-06-10T01:10:29Z"}],"graph_snapshots":[{"event_id":"sha256:29a595e44f53d3c3354b0ee73c572c147e623f828865c892d9e21bc41c36061f","target":"graph","created_at":"2026-06-10T01:10:29Z","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/2606.10616/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-horizon language agents accumulate observations, reasoning traces, and retrieved facts that exceed their finite context windows, making memory retention a fundamental resource-allocation problem. Existing memory systems improve management through heuristic scoring, retrieval optimization, or learned compression, but largely treat retention as a local decision problem and do not explicitly model its long-term consequences under realistic observability constraints. To fill this gap, we formulate memory retention as a constrained stochastic optimization problem with explicit budget feasibili","authors_text":"Kaichao Liang, Liu Mingyang, Mingxuan Yuan, Qingcan Kang, Shixiong Kai, Tao Zhong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T09:15:33Z","title":"Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10616","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":"sha256:81b67337bfa07760ca6a570ded28bddd31a6e0f39d00e0023f6ed4db76653610","target":"record","created_at":"2026-06-10T01:10:29Z","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":"90a20d94e0a97e0d4a8780b41df7431f51b91c37b79c531bc84fede6ba77aead","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T09:15:33Z","title_canon_sha256":"ffa8b356cb4bae392613a2e402b44773445bac7824e062595a5ee473b853305e"},"schema_version":"1.0","source":{"id":"2606.10616","kind":"arxiv","version":1}},"canonical_sha256":"a2bdb56ef17ab36346a93017326057fdaf96fe8571b9940e6962fea5940c3a93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a2bdb56ef17ab36346a93017326057fdaf96fe8571b9940e6962fea5940c3a93","first_computed_at":"2026-06-10T01:10:29.688066Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:10:29.688066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ShU5QILC/94/WInjazUjpG6QC9QIgyFakrM9Ys9r5vIgmB+PrZ+u6NiuUEaJm1r7IoMBnVmIHDbJPp/lmu6hBA==","signature_status":"signed_v1","signed_at":"2026-06-10T01:10:29.688878Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10616","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:81b67337bfa07760ca6a570ded28bddd31a6e0f39d00e0023f6ed4db76653610","sha256:29a595e44f53d3c3354b0ee73c572c147e623f828865c892d9e21bc41c36061f"],"state_sha256":"4a6ba802902cdf7941974de58c92682017c23ddd127ac310ba08430da65a6f34"}