{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:44T3NNESDFRVU2EF2YASWWAOWP","short_pith_number":"pith:44T3NNES","schema_version":"1.0","canonical_sha256":"e727b6b49219635a6885d6012b580eb3f82c4e4524b79975fb57a41796029510","source":{"kind":"arxiv","id":"2606.25342","version":1},"attestation_state":"computed","paper":{"title":"Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Luke McDermott, Rahul Parhi, Robert W. Heath Jr.","submitted_at":"2026-06-24T03:14:20Z","abstract_excerpt":"Lifelong continual learning remains an obstacle on the path to human-like intelligence. Modern transformers show sparks of intelligence with in-context learning. The quadratic nature of attention, however, prohibits transformers from performing this process on arbitrarily long sequences. In this work, we argue that extending in-context learning to lifelong settings is a practical solution for continual learning in AI agents. In particular, we argue that \\emph{parametric forms of attention} are needed to understand a lifetime of context with transformers on a fixed hardware budget. These attent"},"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":"2606.25342","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-06-24T03:14:20Z","cross_cats_sorted":[],"title_canon_sha256":"22312401cb5a0fe6822f6ec063e146c87ca881b0a3278005d3ed3f3f2f31f824","abstract_canon_sha256":"b3a3fa40ac44b884783862fe5de2031da89164c20da1e6e305ae575215dc11e9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:02.617368Z","signature_b64":"cCbWO8LENGuZfp/q2MdWLsHyqVY/aigDF5dzcvCTxHJHw7q1B5YXofXCUjo48M7LW52IBmsZHY2LpKm6/sQZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e727b6b49219635a6885d6012b580eb3f82c4e4524b79975fb57a41796029510","last_reissued_at":"2026-06-25T01:18:02.616983Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:02.616983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Luke McDermott, Rahul Parhi, Robert W. Heath Jr.","submitted_at":"2026-06-24T03:14:20Z","abstract_excerpt":"Lifelong continual learning remains an obstacle on the path to human-like intelligence. Modern transformers show sparks of intelligence with in-context learning. The quadratic nature of attention, however, prohibits transformers from performing this process on arbitrarily long sequences. In this work, we argue that extending in-context learning to lifelong settings is a practical solution for continual learning in AI agents. In particular, we argue that \\emph{parametric forms of attention} are needed to understand a lifetime of context with transformers on a fixed hardware budget. These attent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25342","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/2606.25342/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":"2606.25342","created_at":"2026-06-25T01:18:02.617050+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.25342v1","created_at":"2026-06-25T01:18:02.617050+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25342","created_at":"2026-06-25T01:18:02.617050+00:00"},{"alias_kind":"pith_short_12","alias_value":"44T3NNESDFRV","created_at":"2026-06-25T01:18:02.617050+00:00"},{"alias_kind":"pith_short_16","alias_value":"44T3NNESDFRVU2EF","created_at":"2026-06-25T01:18:02.617050+00:00"},{"alias_kind":"pith_short_8","alias_value":"44T3NNES","created_at":"2026-06-25T01:18:02.617050+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/44T3NNESDFRVU2EF2YASWWAOWP","json":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP.json","graph_json":"https://pith.science/api/pith-number/44T3NNESDFRVU2EF2YASWWAOWP/graph.json","events_json":"https://pith.science/api/pith-number/44T3NNESDFRVU2EF2YASWWAOWP/events.json","paper":"https://pith.science/paper/44T3NNES"},"agent_actions":{"view_html":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP","download_json":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP.json","view_paper":"https://pith.science/paper/44T3NNES","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.25342&json=true","fetch_graph":"https://pith.science/api/pith-number/44T3NNESDFRVU2EF2YASWWAOWP/graph.json","fetch_events":"https://pith.science/api/pith-number/44T3NNESDFRVU2EF2YASWWAOWP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP/action/storage_attestation","attest_author":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP/action/author_attestation","sign_citation":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP/action/citation_signature","submit_replication":"https://pith.science/pith/44T3NNESDFRVU2EF2YASWWAOWP/action/replication_record"}},"created_at":"2026-06-25T01:18:02.617050+00:00","updated_at":"2026-06-25T01:18:02.617050+00:00"}