{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:V26F2UKY3NALYOHDCOR4JDAHJI","short_pith_number":"pith:V26F2UKY","schema_version":"1.0","canonical_sha256":"aebc5d5158db40bc38e313a3c48c074a171655008b19888510ec1bf7004efa5c","source":{"kind":"arxiv","id":"2607.01071","version":1},"attestation_state":"computed","paper":{"title":"MemSyco-Bench: Benchmarking Sycophancy in Agent Memory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Jinsong Su, Qinggang Zhang, Ruqin Ning, Yujie Lin, Yunbo Tang, Zerui Chen, Zhimin Wei, Zhishang Xiang","submitted_at":"2026-07-01T15:30:33Z","abstract_excerpt":"Memory has emerged as a cornerstone of modern LLM-based agents, supporting their evolution from single-turn assistants to long-term collaborators. However, memory is not always beneficial: retrieved memories often induce a critical issue of sycophancy, causing agents to over-align with the user at the cost of factual accuracy or objective reasoning. Despite this emerging risk, existing memory benchmarks primarily evaluate whether memories are correctly stored, retrieved, or updated, while overlooking how retrieved memories influence downstream reasoning and decision-making. To bridge this gap,"},"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":"2607.01071","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-01T15:30:33Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a1ad51a3960d6a11cf710d65a68d48d680c06e3fbde77f2914cb3131fd7f09c2","abstract_canon_sha256":"1fc08fabab821d924c876ad8eccd62cf201b75dfb116f084a8839a82b4dd491a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:27.925134Z","signature_b64":"5PNj75D/SEWPnblqCeMtDDXRCRGJ5ypDVjBObB6UYcQxMkTQxRwuVnGIZSObWmuOP+Hkqym8sonCXQxDwcf3CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aebc5d5158db40bc38e313a3c48c074a171655008b19888510ec1bf7004efa5c","last_reissued_at":"2026-07-02T01:18:27.924748Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:27.924748Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MemSyco-Bench: Benchmarking Sycophancy in Agent Memory","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Jinsong Su, Qinggang Zhang, Ruqin Ning, Yujie Lin, Yunbo Tang, Zerui Chen, Zhimin Wei, Zhishang Xiang","submitted_at":"2026-07-01T15:30:33Z","abstract_excerpt":"Memory has emerged as a cornerstone of modern LLM-based agents, supporting their evolution from single-turn assistants to long-term collaborators. However, memory is not always beneficial: retrieved memories often induce a critical issue of sycophancy, causing agents to over-align with the user at the cost of factual accuracy or objective reasoning. Despite this emerging risk, existing memory benchmarks primarily evaluate whether memories are correctly stored, retrieved, or updated, while overlooking how retrieved memories influence downstream reasoning and decision-making. To bridge this gap,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01071","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/2607.01071/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":"2607.01071","created_at":"2026-07-02T01:18:27.924806+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.01071v1","created_at":"2026-07-02T01:18:27.924806+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01071","created_at":"2026-07-02T01:18:27.924806+00:00"},{"alias_kind":"pith_short_12","alias_value":"V26F2UKY3NAL","created_at":"2026-07-02T01:18:27.924806+00:00"},{"alias_kind":"pith_short_16","alias_value":"V26F2UKY3NALYOHD","created_at":"2026-07-02T01:18:27.924806+00:00"},{"alias_kind":"pith_short_8","alias_value":"V26F2UKY","created_at":"2026-07-02T01:18:27.924806+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/V26F2UKY3NALYOHDCOR4JDAHJI","json":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI.json","graph_json":"https://pith.science/api/pith-number/V26F2UKY3NALYOHDCOR4JDAHJI/graph.json","events_json":"https://pith.science/api/pith-number/V26F2UKY3NALYOHDCOR4JDAHJI/events.json","paper":"https://pith.science/paper/V26F2UKY"},"agent_actions":{"view_html":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI","download_json":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI.json","view_paper":"https://pith.science/paper/V26F2UKY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.01071&json=true","fetch_graph":"https://pith.science/api/pith-number/V26F2UKY3NALYOHDCOR4JDAHJI/graph.json","fetch_events":"https://pith.science/api/pith-number/V26F2UKY3NALYOHDCOR4JDAHJI/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI/action/timestamp_anchor","attest_storage":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI/action/storage_attestation","attest_author":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI/action/author_attestation","sign_citation":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI/action/citation_signature","submit_replication":"https://pith.science/pith/V26F2UKY3NALYOHDCOR4JDAHJI/action/replication_record"}},"created_at":"2026-07-02T01:18:27.924806+00:00","updated_at":"2026-07-02T01:18:27.924806+00:00"}