{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:NBFXUUD44WPKEHFHTGR5UROW5I","short_pith_number":"pith:NBFXUUD4","canonical_record":{"source":{"id":"2606.05559","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T01:14:19Z","cross_cats_sorted":[],"title_canon_sha256":"0c0e1989c850966c86c32625b1e648422dc327a27041f9dcedf0f0e1cc1de9dd","abstract_canon_sha256":"6a4d077bdf4c7ff05d4a1a0ade14149781c20b361c784b003daf72bda452df0c"},"schema_version":"1.0"},"canonical_sha256":"684b7a507ce59ea21ca799a3da45d6ea04329a89ab751c6172db42ac6179bd1e","source":{"kind":"arxiv","id":"2606.05559","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05559","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05559v1","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05559","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"pith_short_12","alias_value":"NBFXUUD44WPK","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"pith_short_16","alias_value":"NBFXUUD44WPKEHFH","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"pith_short_8","alias_value":"NBFXUUD4","created_at":"2026-06-05T01:14:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:NBFXUUD44WPKEHFHTGR5UROW5I","target":"record","payload":{"canonical_record":{"source":{"id":"2606.05559","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T01:14:19Z","cross_cats_sorted":[],"title_canon_sha256":"0c0e1989c850966c86c32625b1e648422dc327a27041f9dcedf0f0e1cc1de9dd","abstract_canon_sha256":"6a4d077bdf4c7ff05d4a1a0ade14149781c20b361c784b003daf72bda452df0c"},"schema_version":"1.0"},"canonical_sha256":"684b7a507ce59ea21ca799a3da45d6ea04329a89ab751c6172db42ac6179bd1e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-05T01:14:54.751298Z","signature_b64":"yP8XwmnWIzTyzucou9nGVJw5ynEjVP4p+kDfELsLuVtwi0YHJwRl/pP7jkyRuJyZHynZtJkoBlfMN6USKMmsAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"684b7a507ce59ea21ca799a3da45d6ea04329a89ab751c6172db42ac6179bd1e","last_reissued_at":"2026-06-05T01:14:54.750830Z","signature_status":"signed_v1","first_computed_at":"2026-06-05T01:14:54.750830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.05559","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-05T01:14:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9N1n/BB/u4YaZWQF6Iy2PIqBbyPZ/1GQ6gUovipx5uh/1LS6XCNtuNwFkrgUVaN/R34ogeBiqrsvdIaBkNX2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T17:06:47.699691Z"},"content_sha256":"ee40ab46999f3fb50e04ae23b82e218c04072256bc1c70d53f09f490d4980d4e","schema_version":"1.0","event_id":"sha256:ee40ab46999f3fb50e04ae23b82e218c04072256bc1c70d53f09f490d4980d4e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:NBFXUUD44WPKEHFHTGR5UROW5I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CLaaS: Continual learning as a service for sample efficient online learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Barak Widawsky, Kion Fallah, Qingqing Mao, Silen Naihin","submitted_at":"2026-06-04T01:14:19Z","abstract_excerpt":"Deployed large language model agents must adapt to distribution shift in dynamic environments. Ideally, adaptation can be performed from accumulated agent experiences and retain prior capabilities while transferring to future tasks. However, agent actions and environmental transitions can only be sampled once per scenario, as real-world environments cannot be trivially reset. To this end, we investigate an experiential and online continual learning setting in which agents learn from a stream of scenarios. We propose continual learning as-a-service (CLaaS), a system which enables agents to impr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05559","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/2606.05559/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-05T01:14:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nu2IlqtXhNT9HbDqN84IqPvJzvrkBtjl8R3exyybl4PPLFkM6IZYrvKt8ly0VN8MEc62I1Qs9eF7NsOwHgxACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-29T17:06:47.700072Z"},"content_sha256":"080bf7123e4e463a998b36f75685b5f525346d7e7ae275a74d3da606e08c8921","schema_version":"1.0","event_id":"sha256:080bf7123e4e463a998b36f75685b5f525346d7e7ae275a74d3da606e08c8921"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NBFXUUD44WPKEHFHTGR5UROW5I/bundle.json","state_url":"https://pith.science/pith/NBFXUUD44WPKEHFHTGR5UROW5I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NBFXUUD44WPKEHFHTGR5UROW5I/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-29T17:06:47Z","links":{"resolver":"https://pith.science/pith/NBFXUUD44WPKEHFHTGR5UROW5I","bundle":"https://pith.science/pith/NBFXUUD44WPKEHFHTGR5UROW5I/bundle.json","state":"https://pith.science/pith/NBFXUUD44WPKEHFHTGR5UROW5I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NBFXUUD44WPKEHFHTGR5UROW5I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NBFXUUD44WPKEHFHTGR5UROW5I","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"6a4d077bdf4c7ff05d4a1a0ade14149781c20b361c784b003daf72bda452df0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T01:14:19Z","title_canon_sha256":"0c0e1989c850966c86c32625b1e648422dc327a27041f9dcedf0f0e1cc1de9dd"},"schema_version":"1.0","source":{"id":"2606.05559","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.05559","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.05559v1","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.05559","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"pith_short_12","alias_value":"NBFXUUD44WPK","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"pith_short_16","alias_value":"NBFXUUD44WPKEHFH","created_at":"2026-06-05T01:14:54Z"},{"alias_kind":"pith_short_8","alias_value":"NBFXUUD4","created_at":"2026-06-05T01:14:54Z"}],"graph_snapshots":[{"event_id":"sha256:080bf7123e4e463a998b36f75685b5f525346d7e7ae275a74d3da606e08c8921","target":"graph","created_at":"2026-06-05T01:14:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2606.05559/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deployed large language model agents must adapt to distribution shift in dynamic environments. Ideally, adaptation can be performed from accumulated agent experiences and retain prior capabilities while transferring to future tasks. However, agent actions and environmental transitions can only be sampled once per scenario, as real-world environments cannot be trivially reset. To this end, we investigate an experiential and online continual learning setting in which agents learn from a stream of scenarios. We propose continual learning as-a-service (CLaaS), a system which enables agents to impr","authors_text":"Barak Widawsky, Kion Fallah, Qingqing Mao, Silen Naihin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T01:14:19Z","title":"CLaaS: Continual learning as a service for sample efficient online learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.05559","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ee40ab46999f3fb50e04ae23b82e218c04072256bc1c70d53f09f490d4980d4e","target":"record","created_at":"2026-06-05T01:14:54Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"6a4d077bdf4c7ff05d4a1a0ade14149781c20b361c784b003daf72bda452df0c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-04T01:14:19Z","title_canon_sha256":"0c0e1989c850966c86c32625b1e648422dc327a27041f9dcedf0f0e1cc1de9dd"},"schema_version":"1.0","source":{"id":"2606.05559","kind":"arxiv","version":1}},"canonical_sha256":"684b7a507ce59ea21ca799a3da45d6ea04329a89ab751c6172db42ac6179bd1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"684b7a507ce59ea21ca799a3da45d6ea04329a89ab751c6172db42ac6179bd1e","first_computed_at":"2026-06-05T01:14:54.750830Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-05T01:14:54.750830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yP8XwmnWIzTyzucou9nGVJw5ynEjVP4p+kDfELsLuVtwi0YHJwRl/pP7jkyRuJyZHynZtJkoBlfMN6USKMmsAQ==","signature_status":"signed_v1","signed_at":"2026-06-05T01:14:54.751298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.05559","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee40ab46999f3fb50e04ae23b82e218c04072256bc1c70d53f09f490d4980d4e","sha256:080bf7123e4e463a998b36f75685b5f525346d7e7ae275a74d3da606e08c8921"],"state_sha256":"7b9d7d058194ef9fed55d3441233b172e9f18764eaef9d409e71b1b47848fe5b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TmK9IU/PGHRKuOQHRRB545cqT1aUaqGJQpvxcSFQom7MOzTqiUMagOjrZPVSpVDKNWiDRFtZ4LmvxGRbOuvaCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-29T17:06:47.702717Z","bundle_sha256":"54d48df2a41a99b3c054d44ef827099aaa811d898d5f8a93df60b2b0f01bf857"}}