{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QD6EORJYVZBW7OJNWLSV2SYISO","short_pith_number":"pith:QD6EORJY","schema_version":"1.0","canonical_sha256":"80fc474538ae436fb92db2e55d4b089393f460c3ae84883de61c0c335b3945b4","source":{"kind":"arxiv","id":"2608.10108","version":1},"attestation_state":"computed","paper":{"title":"MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Baotong Lu, Beidi Zhao, Jianan Lu, Menghao Li, Qianxi Zhang, Qi Chen, Shusen Xu, Xiaoxiao Li, Xinjiang Wang, Yaoqi Chen, Yuru Feng, Zengzhong Li, Zhirui Wang","submitted_at":"2026-08-10T18:23:04Z","abstract_excerpt":"Long-horizon agents accumulate trajectories spanning hundreds of interleaved reasoning, action, and observation steps, where answering a query may depend on evidence buried far back in the history. External memory stores such trajectories as structured representations, yet each structure provides a distinct and incomplete view. Existing multi-memory systems either read a fixed set of structures for every query, inflating context and introducing noise, or route each query to a single structure, preventing the composition of complementary evidence. A controlled analysis on AMA-Bench shows that t"},"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":"2608.10108","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-08-10T18:23:04Z","cross_cats_sorted":[],"title_canon_sha256":"31afd3c82a704d564e0c594d1181d7e596ded4b70b647f945d2fa6b10c4e9156","abstract_canon_sha256":"c0674db6e443415ffb8c8551644d9cc6c8b0465aeff000c7f86462425640d163"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-12T00:22:50.232691Z","signature_b64":"tdWVUXXN0evXH76x6NxvkTEoh0LvG1WhID8VbyYMGoIa/qXZfzgsFAJ5K88MvLnlcSjPRVxPQ/ETAXWSIK5GAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80fc474538ae436fb92db2e55d4b089393f460c3ae84883de61c0c335b3945b4","last_reissued_at":"2026-08-12T00:22:50.231156Z","signature_status":"signed_v1","first_computed_at":"2026-08-12T00:22:50.231156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MESA:Task-Adaptive Multi-Structure Evidence Selection for Long-Horizon Agent Memory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Baotong Lu, Beidi Zhao, Jianan Lu, Menghao Li, Qianxi Zhang, Qi Chen, Shusen Xu, Xiaoxiao Li, Xinjiang Wang, Yaoqi Chen, Yuru Feng, Zengzhong Li, Zhirui Wang","submitted_at":"2026-08-10T18:23:04Z","abstract_excerpt":"Long-horizon agents accumulate trajectories spanning hundreds of interleaved reasoning, action, and observation steps, where answering a query may depend on evidence buried far back in the history. External memory stores such trajectories as structured representations, yet each structure provides a distinct and incomplete view. Existing multi-memory systems either read a fixed set of structures for every query, inflating context and introducing noise, or route each query to a single structure, preventing the composition of complementary evidence. A controlled analysis on AMA-Bench shows that t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.10108","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/2608.10108/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":"2608.10108","created_at":"2026-08-12T00:22:50.233807+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.10108v1","created_at":"2026-08-12T00:22:50.233807+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.10108","created_at":"2026-08-12T00:22:50.233807+00:00"},{"alias_kind":"pith_short_12","alias_value":"QD6EORJYVZBW","created_at":"2026-08-12T00:22:50.233807+00:00"},{"alias_kind":"pith_short_16","alias_value":"QD6EORJYVZBW7OJN","created_at":"2026-08-12T00:22:50.233807+00:00"},{"alias_kind":"pith_short_8","alias_value":"QD6EORJY","created_at":"2026-08-12T00:22:50.233807+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/QD6EORJYVZBW7OJNWLSV2SYISO","json":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO.json","graph_json":"https://pith.science/api/pith-number/QD6EORJYVZBW7OJNWLSV2SYISO/graph.json","events_json":"https://pith.science/api/pith-number/QD6EORJYVZBW7OJNWLSV2SYISO/events.json","paper":"https://pith.science/paper/QD6EORJY"},"agent_actions":{"view_html":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO","download_json":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO.json","view_paper":"https://pith.science/paper/QD6EORJY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.10108&json=true","fetch_graph":"https://pith.science/api/pith-number/QD6EORJYVZBW7OJNWLSV2SYISO/graph.json","fetch_events":"https://pith.science/api/pith-number/QD6EORJYVZBW7OJNWLSV2SYISO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO/action/storage_attestation","attest_author":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO/action/author_attestation","sign_citation":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO/action/citation_signature","submit_replication":"https://pith.science/pith/QD6EORJYVZBW7OJNWLSV2SYISO/action/replication_record"}},"created_at":"2026-08-12T00:22:50.233807+00:00","updated_at":"2026-08-12T00:22:50.233807+00:00"}