{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:6Q5VZU6M36ZFIDQA5U6YI2WLG5","short_pith_number":"pith:6Q5VZU6M","schema_version":"1.0","canonical_sha256":"f43b5cd3ccdfb2540e00ed3d846acb376dcecc7de5f851d68d8f0342725aaa7d","source":{"kind":"arxiv","id":"2606.10842","version":1},"attestation_state":"computed","paper":{"title":"ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Taiheng Pan","submitted_at":"2026-06-09T13:27:03Z","abstract_excerpt":"We describe ConvMemory v2, an opt-in token-evidence reranker that sits after the lightweight ConvMemory v1 reranker and reorders only v1's protected top-10 candidate set. v2 is a fine-tuned ms-marco-MiniLM-L-6-v2 cross-encoder (22,713,601 parameters, measured from the released checkpoint) applied to the ten (query, memory) pairs that v1 has already selected; it does not change which ten memories are returned, so Recall@10 and Hit@10 are identical to v1 by construction, not by statistical coincidence. On the LoCoMo conversational memory benchmark (5 seeds, n = 4955 test rows), v2 raises FULL MR"},"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":"2606.10842","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-06-09T13:27:03Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"3103d446124b5a3b0dc7384e7b4412691ea3096831d9ed574efdf10df813471b","abstract_canon_sha256":"25f81d478f291e24c13198e21a6045344326edde23bab8e49c6cde9f90a8c28f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:10:43.464384Z","signature_b64":"0Ss8B5Ma2uv9QBMBI9j56M8U2g6XVNRnYmEfF9zrTKkFq5NI6KDwMog6CfQ/mgNaqs9HJH5/NIlI6DzlkNVnDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f43b5cd3ccdfb2540e00ed3d846acb376dcecc7de5f851d68d8f0342725aaa7d","last_reissued_at":"2026-06-10T01:10:43.463903Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:10:43.463903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ConvMemory v2: A Recall-Preserving Top-10 Evidence Reranker for Conversational Memory Retrieval","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.CL","authors_text":"Taiheng Pan","submitted_at":"2026-06-09T13:27:03Z","abstract_excerpt":"We describe ConvMemory v2, an opt-in token-evidence reranker that sits after the lightweight ConvMemory v1 reranker and reorders only v1's protected top-10 candidate set. v2 is a fine-tuned ms-marco-MiniLM-L-6-v2 cross-encoder (22,713,601 parameters, measured from the released checkpoint) applied to the ten (query, memory) pairs that v1 has already selected; it does not change which ten memories are returned, so Recall@10 and Hit@10 are identical to v1 by construction, not by statistical coincidence. On the LoCoMo conversational memory benchmark (5 seeds, n = 4955 test rows), v2 raises FULL MR"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10842","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/2606.10842/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":"2606.10842","created_at":"2026-06-10T01:10:43.463966+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.10842v1","created_at":"2026-06-10T01:10:43.463966+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10842","created_at":"2026-06-10T01:10:43.463966+00:00"},{"alias_kind":"pith_short_12","alias_value":"6Q5VZU6M36ZF","created_at":"2026-06-10T01:10:43.463966+00:00"},{"alias_kind":"pith_short_16","alias_value":"6Q5VZU6M36ZFIDQA","created_at":"2026-06-10T01:10:43.463966+00:00"},{"alias_kind":"pith_short_8","alias_value":"6Q5VZU6M","created_at":"2026-06-10T01:10:43.463966+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/6Q5VZU6M36ZFIDQA5U6YI2WLG5","json":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5.json","graph_json":"https://pith.science/api/pith-number/6Q5VZU6M36ZFIDQA5U6YI2WLG5/graph.json","events_json":"https://pith.science/api/pith-number/6Q5VZU6M36ZFIDQA5U6YI2WLG5/events.json","paper":"https://pith.science/paper/6Q5VZU6M"},"agent_actions":{"view_html":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5","download_json":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5.json","view_paper":"https://pith.science/paper/6Q5VZU6M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.10842&json=true","fetch_graph":"https://pith.science/api/pith-number/6Q5VZU6M36ZFIDQA5U6YI2WLG5/graph.json","fetch_events":"https://pith.science/api/pith-number/6Q5VZU6M36ZFIDQA5U6YI2WLG5/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5/action/storage_attestation","attest_author":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5/action/author_attestation","sign_citation":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5/action/citation_signature","submit_replication":"https://pith.science/pith/6Q5VZU6M36ZFIDQA5U6YI2WLG5/action/replication_record"}},"created_at":"2026-06-10T01:10:43.463966+00:00","updated_at":"2026-06-10T01:10:43.463966+00:00"}