{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WZXV42ZWT64DBIDYPBAVAXXMTD","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":"f9f3c236fde438e01fa7311522b83ad3f3be08494ab768a682bacf2efb513cbb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-18T21:39:10Z","title_canon_sha256":"f6ee1ec5987274061d54ba25f82fe6493d04a4a678104661fcf68aa5a420f32f"},"schema_version":"1.0","source":{"id":"2606.20954","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20954","created_at":"2026-06-23T01:12:23Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20954v1","created_at":"2026-06-23T01:12:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20954","created_at":"2026-06-23T01:12:23Z"},{"alias_kind":"pith_short_12","alias_value":"WZXV42ZWT64D","created_at":"2026-06-23T01:12:23Z"},{"alias_kind":"pith_short_16","alias_value":"WZXV42ZWT64DBIDY","created_at":"2026-06-23T01:12:23Z"},{"alias_kind":"pith_short_8","alias_value":"WZXV42ZW","created_at":"2026-06-23T01:12:23Z"}],"graph_snapshots":[{"event_id":"sha256:32c7b9c917cb2c45738747948c8c8a4d86c4f7ed6ac435973cc5d96b883f4708","target":"graph","created_at":"2026-06-23T01:12:23Z","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/2606.20954/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Long-running language-model systems accumulate interaction history that outgrows the context window, so they must continually evict. When an eviction policy drops a load-bearing detail, for example an access token issued at login or a path the next call needs, the action fails. We present LRE (Learned Relevance Eviction), a few kilobytes, CPU-only, language-model-free scorer that learns which units of history are load-bearing and keeps them by verbatim extraction. Under a matched-budget comparison, in our experiment, no baseline dominates LRE on the accuracy-cost plane. On agents, LRE matches ","authors_text":"Aritra Mazumder, Nusrat Jahan Lia","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-18T21:39:10Z","title":"Learning What Not to Forget: Long-Horizon Agent Memory from a Few Kilobytes of Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20954","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:d855405f886d82c90398fc341be32ef2c62a59d607ada7328216f9a5f9d1bbdf","target":"record","created_at":"2026-06-23T01:12:23Z","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":"f9f3c236fde438e01fa7311522b83ad3f3be08494ab768a682bacf2efb513cbb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-18T21:39:10Z","title_canon_sha256":"f6ee1ec5987274061d54ba25f82fe6493d04a4a678104661fcf68aa5a420f32f"},"schema_version":"1.0","source":{"id":"2606.20954","kind":"arxiv","version":1}},"canonical_sha256":"b66f5e6b369fb830a0787841505eec98c6aeb83fa260216a5648b021d203bca0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b66f5e6b369fb830a0787841505eec98c6aeb83fa260216a5648b021d203bca0","first_computed_at":"2026-06-23T01:12:23.134211Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T01:12:23.134211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zK3b2z2QEwv3wOUfLr17KXpxPxMKvNecObOiF3XZwJAGgO6TXZ+mSF5P650dJ+Xo5b3MwXszrS+laWBJs5qvDA==","signature_status":"signed_v1","signed_at":"2026-06-23T01:12:23.134742Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20954","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d855405f886d82c90398fc341be32ef2c62a59d607ada7328216f9a5f9d1bbdf","sha256:32c7b9c917cb2c45738747948c8c8a4d86c4f7ed6ac435973cc5d96b883f4708"],"state_sha256":"79d7122a36919e7cbed4c1d9653b3157c7d434214518cb06fa65ee527456a49b"}