{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:DUY73GRCMJAGDE325NVC6CD2RF","short_pith_number":"pith:DUY73GRC","canonical_record":{"source":{"id":"2412.17009","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T13:16:28Z","cross_cats_sorted":[],"title_canon_sha256":"8c9a51cb9d9ed1441492c093121229a9eb880c200a8fc1f7979a82224d31400c","abstract_canon_sha256":"d6ed5cf7b5d3b23d03dfd02536260ff46d949df38ba1d91c735f3a1d067b6a6c"},"schema_version":"1.0"},"canonical_sha256":"1d31fd9a22624061937aeb6a2f087a89490ba3e5729e03f924e67a19b33bd105","source":{"kind":"arxiv","id":"2412.17009","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17009","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17009v3","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17009","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_12","alias_value":"DUY73GRCMJAG","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_16","alias_value":"DUY73GRCMJAGDE32","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_8","alias_value":"DUY73GRC","created_at":"2026-07-05T12:00:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:DUY73GRCMJAGDE325NVC6CD2RF","target":"record","payload":{"canonical_record":{"source":{"id":"2412.17009","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T13:16:28Z","cross_cats_sorted":[],"title_canon_sha256":"8c9a51cb9d9ed1441492c093121229a9eb880c200a8fc1f7979a82224d31400c","abstract_canon_sha256":"d6ed5cf7b5d3b23d03dfd02536260ff46d949df38ba1d91c735f3a1d067b6a6c"},"schema_version":"1.0"},"canonical_sha256":"1d31fd9a22624061937aeb6a2f087a89490ba3e5729e03f924e67a19b33bd105","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:45.302639Z","signature_b64":"LVQ/NtizswiJwzyG49OwPJ0mRUqzbLPRrg81ClZmTu6+qpknc2y4wp+8erkPZNkTnMbmk7lhfCEmSPMjh/9gCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1d31fd9a22624061937aeb6a2f087a89490ba3e5729e03f924e67a19b33bd105","last_reissued_at":"2026-07-05T12:00:45.302106Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:45.302106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.17009","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:00:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cgTit1m2TKMhYLzXsuNeQ+0hZZm4WjOgz0oTerIg1K6vkk7hsz2MR63PHOohD8qO7quaDfp7jkMiSmBmnro8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:44:02.186952Z"},"content_sha256":"3d9edf75cc44d1923f62056dfea19cd8548a597e00a29602711f30e98fdb7ff1","schema_version":"1.0","event_id":"sha256:3d9edf75cc44d1923f62056dfea19cd8548a597e00a29602711f30e98fdb7ff1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:DUY73GRCMJAGDE325NVC6CD2RF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Expert Routing with Synthetic Data for Continual Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bryan Wilder, Emma Strubell, Michael Oberst, Sanket Vaibhav Mehta, Saurabh Garg, Yewon Byun, Zachary C. Lipton","submitted_at":"2024-12-22T13:16:28Z","abstract_excerpt":"In many real-world settings, regulations and economic incentives permit the sharing of models but not data across institutional boundaries. In such scenarios, practitioners might hope to adapt models to new domains, without losing performance on previous domains (so-called catastrophic forgetting). While any single model may struggle to achieve this goal, learning an ensemble of domain-specific experts offers the potential to adapt more closely to each individual institution. However, a core challenge in this context is determining which expert to deploy at test time. In this paper, we propose"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17009","kind":"arxiv","version":3},"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/2412.17009/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":"2026-07-05T12:00:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"phclUEsHXs37sX6EgNkHKFP6Q2tljO4Gd5UZTxn+NVrgrtCj4/+MJ5rIvX4j9NaJLjNBWtURYfmVQucKnpk3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T20:44:02.187546Z"},"content_sha256":"93b151481d2b4446d44a4c8a73e6e8612f6d348a0395ba104b5e47255ecec3bd","schema_version":"1.0","event_id":"sha256:93b151481d2b4446d44a4c8a73e6e8612f6d348a0395ba104b5e47255ecec3bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DUY73GRCMJAGDE325NVC6CD2RF/bundle.json","state_url":"https://pith.science/pith/DUY73GRCMJAGDE325NVC6CD2RF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DUY73GRCMJAGDE325NVC6CD2RF/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":"2026-08-11T20:44:02Z","links":{"resolver":"https://pith.science/pith/DUY73GRCMJAGDE325NVC6CD2RF","bundle":"https://pith.science/pith/DUY73GRCMJAGDE325NVC6CD2RF/bundle.json","state":"https://pith.science/pith/DUY73GRCMJAGDE325NVC6CD2RF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DUY73GRCMJAGDE325NVC6CD2RF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:DUY73GRCMJAGDE325NVC6CD2RF","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":"d6ed5cf7b5d3b23d03dfd02536260ff46d949df38ba1d91c735f3a1d067b6a6c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T13:16:28Z","title_canon_sha256":"8c9a51cb9d9ed1441492c093121229a9eb880c200a8fc1f7979a82224d31400c"},"schema_version":"1.0","source":{"id":"2412.17009","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.17009","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"arxiv_version","alias_value":"2412.17009v3","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.17009","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_12","alias_value":"DUY73GRCMJAG","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_16","alias_value":"DUY73GRCMJAGDE32","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_8","alias_value":"DUY73GRC","created_at":"2026-07-05T12:00:45Z"}],"graph_snapshots":[{"event_id":"sha256:93b151481d2b4446d44a4c8a73e6e8612f6d348a0395ba104b5e47255ecec3bd","target":"graph","created_at":"2026-07-05T12:00:45Z","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/2412.17009/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In many real-world settings, regulations and economic incentives permit the sharing of models but not data across institutional boundaries. In such scenarios, practitioners might hope to adapt models to new domains, without losing performance on previous domains (so-called catastrophic forgetting). While any single model may struggle to achieve this goal, learning an ensemble of domain-specific experts offers the potential to adapt more closely to each individual institution. However, a core challenge in this context is determining which expert to deploy at test time. In this paper, we propose","authors_text":"Bryan Wilder, Emma Strubell, Michael Oberst, Sanket Vaibhav Mehta, Saurabh Garg, Yewon Byun, Zachary C. Lipton","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T13:16:28Z","title":"Expert Routing with Synthetic Data for Continual Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.17009","kind":"arxiv","version":3},"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":"sha256:3d9edf75cc44d1923f62056dfea19cd8548a597e00a29602711f30e98fdb7ff1","target":"record","created_at":"2026-07-05T12:00:45Z","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":"d6ed5cf7b5d3b23d03dfd02536260ff46d949df38ba1d91c735f3a1d067b6a6c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-22T13:16:28Z","title_canon_sha256":"8c9a51cb9d9ed1441492c093121229a9eb880c200a8fc1f7979a82224d31400c"},"schema_version":"1.0","source":{"id":"2412.17009","kind":"arxiv","version":3}},"canonical_sha256":"1d31fd9a22624061937aeb6a2f087a89490ba3e5729e03f924e67a19b33bd105","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1d31fd9a22624061937aeb6a2f087a89490ba3e5729e03f924e67a19b33bd105","first_computed_at":"2026-07-05T12:00:45.302106Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:45.302106Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LVQ/NtizswiJwzyG49OwPJ0mRUqzbLPRrg81ClZmTu6+qpknc2y4wp+8erkPZNkTnMbmk7lhfCEmSPMjh/9gCw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:45.302639Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.17009","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d9edf75cc44d1923f62056dfea19cd8548a597e00a29602711f30e98fdb7ff1","sha256:93b151481d2b4446d44a4c8a73e6e8612f6d348a0395ba104b5e47255ecec3bd"],"state_sha256":"32a276c1e78aa5dbb813e7ade6b3c8c8585b3908b07ef3fa37e084d9cb81a3f8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yq7S/ecGZiLTl/foAIlljNcZA2ne/NThqz3oGS9FDk8xK4Mm/Epm4YdFfHmaraNIjcrBdW+T9aVFytaijpRxAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T20:44:02.194812Z","bundle_sha256":"9be005d4900311df6a6c650b2e00142eec4e3e623084f27b116745410ab2423b"}}