{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UK63K3XRPKZWGRVJGALTEYCX7W","short_pith_number":"pith:UK63K3XR","canonical_record":{"source":{"id":"2606.10616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T09:15:33Z","cross_cats_sorted":[],"title_canon_sha256":"ffa8b356cb4bae392613a2e402b44773445bac7824e062595a5ee473b853305e","abstract_canon_sha256":"90a20d94e0a97e0d4a8780b41df7431f51b91c37b79c531bc84fede6ba77aead"},"schema_version":"1.0"},"canonical_sha256":"a2bdb56ef17ab36346a93017326057fdaf96fe8571b9940e6962fea5940c3a93","source":{"kind":"arxiv","id":"2606.10616","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"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UK63K3XRPKZWGRVJGALTEYCX7W","target":"record","payload":{"canonical_record":{"source":{"id":"2606.10616","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-06-09T09:15:33Z","cross_cats_sorted":[],"title_canon_sha256":"ffa8b356cb4bae392613a2e402b44773445bac7824e062595a5ee473b853305e","abstract_canon_sha256":"90a20d94e0a97e0d4a8780b41df7431f51b91c37b79c531bc84fede6ba77aead"},"schema_version":"1.0"},"canonical_sha256":"a2bdb56ef17ab36346a93017326057fdaf96fe8571b9940e6962fea5940c3a93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:10:29.688878Z","signature_b64":"ShU5QILC/94/WInjazUjpG6QC9QIgyFakrM9Ys9r5vIgmB+PrZ+u6NiuUEaJm1r7IoMBnVmIHDbJPp/lmu6hBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2bdb56ef17ab36346a93017326057fdaf96fe8571b9940e6962fea5940c3a93","last_reissued_at":"2026-06-10T01:10:29.688066Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:10:29.688066Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.10616","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":"2026-06-10T01:10:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0STFE4A7WFqx2U4p4QxksQQBS614V5Z2jKTZcwHC0Au3dHff+rPW5qxJByqxssu+2j7ajbjL6ceu0FfEcVi/DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T17:52:56.529971Z"},"content_sha256":"81b67337bfa07760ca6a570ded28bddd31a6e0f39d00e0023f6ed4db76653610","schema_version":"1.0","event_id":"sha256:81b67337bfa07760ca6a570ded28bddd31a6e0f39d00e0023f6ed4db76653610"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UK63K3XRPKZWGRVJGALTEYCX7W","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning What to Remember: Observability-Safe Memory Retention via Constrained Optimization for Long-Horizon Language Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Kaichao Liang, Liu Mingyang, Mingxuan Yuan, Qingcan Kang, Shixiong Kai, Tao Zhong","submitted_at":"2026-06-09T09:15:33Z","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"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10616","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/2606.10616/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":"2026-06-10T01:10:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n6ekx7aTKNFZ1QiIl97rMb/vr7PAmSudsX1g/Y0/hI7u9kIy3yP7f6ITZCUGVWITTLL/dFU07KzMO6+CWbk4CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T17:52:56.530352Z"},"content_sha256":"29a595e44f53d3c3354b0ee73c572c147e623f828865c892d9e21bc41c36061f","schema_version":"1.0","event_id":"sha256:29a595e44f53d3c3354b0ee73c572c147e623f828865c892d9e21bc41c36061f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UK63K3XRPKZWGRVJGALTEYCX7W/bundle.json","state_url":"https://pith.science/pith/UK63K3XRPKZWGRVJGALTEYCX7W/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UK63K3XRPKZWGRVJGALTEYCX7W/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":"2026-06-28T17:52:56Z","links":{"resolver":"https://pith.science/pith/UK63K3XRPKZWGRVJGALTEYCX7W","bundle":"https://pith.science/pith/UK63K3XRPKZWGRVJGALTEYCX7W/bundle.json","state":"https://pith.science/pith/UK63K3XRPKZWGRVJGALTEYCX7W/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UK63K3XRPKZWGRVJGALTEYCX7W/bundle.json"},"state":{"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"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"esveFM16X3dHdPWQkBpfKREwCmQYqlkgHFCRCAHm/vRyNOrNnhGW4piwowLTJPg8puvm10y1OenXK9wpGzUCBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T17:52:56.532328Z","bundle_sha256":"32c0f285b48b674bde08ccd25733e3204f13a0d80cc17fb01b2145340369a91d"}}