{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:SREDRLJAC4YXMWDPC3Q2LKCCQA","short_pith_number":"pith:SREDRLJA","schema_version":"1.0","canonical_sha256":"944838ad20173176586f16e1a5a842803942f56edec86b67460a458d7755119c","source":{"kind":"arxiv","id":"2607.10608","version":1},"attestation_state":"computed","paper":{"title":"The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alan Yuille, Xinyi Bai, Yixiong Chen","submitted_at":"2026-07-12T07:05:31Z","abstract_excerpt":"Memory is becoming a core component of long-horizon AI agents, allowing agents to reuse past experience when operating web browsers, software tools, and other interactive environments. Existing work mostly treats memory as a supply problem, asking what experience to write, how to store it, and which entry to retrieve for the next task. Yet we still lack a clear account of how models consume retrieved memory across a multi-step action trajectory. This consumption process matters because it determines not only what memories should be retrieved, but also what models and control policies are neede"},"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":"2607.10608","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-12T07:05:31Z","cross_cats_sorted":[],"title_canon_sha256":"59c8c4877aa0e426f00c6bbc7d4f9714042b74525a5a711df5e839523333ddb4","abstract_canon_sha256":"3a62b53fe544cc5a2f9f94b7b75ce88592fe4a47b582135aafdea8cbad70973c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:23.727679Z","signature_b64":"C38F8FdRHHO9pRSWxlasDEB4uV2f5wt+euHL/JirSn+OYBrKdWpZkoOp6UaUS5tvkrlqFLAqEZYQ/nNYNHqmDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"944838ad20173176586f16e1a5a842803942f56edec86b67460a458d7755119c","last_reissued_at":"2026-07-14T01:21:23.726775Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:23.726775Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"The Compliance Trap: Diagnosing How AI Agents Consume Conflicting Memory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alan Yuille, Xinyi Bai, Yixiong Chen","submitted_at":"2026-07-12T07:05:31Z","abstract_excerpt":"Memory is becoming a core component of long-horizon AI agents, allowing agents to reuse past experience when operating web browsers, software tools, and other interactive environments. Existing work mostly treats memory as a supply problem, asking what experience to write, how to store it, and which entry to retrieve for the next task. Yet we still lack a clear account of how models consume retrieved memory across a multi-step action trajectory. This consumption process matters because it determines not only what memories should be retrieved, but also what models and control policies are neede"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10608","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/2607.10608/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":"2607.10608","created_at":"2026-07-14T01:21:23.727234+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10608v1","created_at":"2026-07-14T01:21:23.727234+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10608","created_at":"2026-07-14T01:21:23.727234+00:00"},{"alias_kind":"pith_short_12","alias_value":"SREDRLJAC4YX","created_at":"2026-07-14T01:21:23.727234+00:00"},{"alias_kind":"pith_short_16","alias_value":"SREDRLJAC4YXMWDP","created_at":"2026-07-14T01:21:23.727234+00:00"},{"alias_kind":"pith_short_8","alias_value":"SREDRLJA","created_at":"2026-07-14T01:21:23.727234+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/SREDRLJAC4YXMWDPC3Q2LKCCQA","json":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA.json","graph_json":"https://pith.science/api/pith-number/SREDRLJAC4YXMWDPC3Q2LKCCQA/graph.json","events_json":"https://pith.science/api/pith-number/SREDRLJAC4YXMWDPC3Q2LKCCQA/events.json","paper":"https://pith.science/paper/SREDRLJA"},"agent_actions":{"view_html":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA","download_json":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA.json","view_paper":"https://pith.science/paper/SREDRLJA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10608&json=true","fetch_graph":"https://pith.science/api/pith-number/SREDRLJAC4YXMWDPC3Q2LKCCQA/graph.json","fetch_events":"https://pith.science/api/pith-number/SREDRLJAC4YXMWDPC3Q2LKCCQA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA/action/storage_attestation","attest_author":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA/action/author_attestation","sign_citation":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA/action/citation_signature","submit_replication":"https://pith.science/pith/SREDRLJAC4YXMWDPC3Q2LKCCQA/action/replication_record"}},"created_at":"2026-07-14T01:21:23.727234+00:00","updated_at":"2026-07-14T01:21:23.727234+00:00"}