{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JLB7G6CIY44P34TZEDCBXIHUJY","short_pith_number":"pith:JLB7G6CI","canonical_record":{"source":{"id":"2602.00827","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-01-31T17:43:02Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"9ccec6f81b090bd7c1a6ccd69f9bf1363ca05dd77e0645a5e8dcfd51921627a3","abstract_canon_sha256":"4ad905c285d61cde2cba1b214916679a1988e0bf11771deaeaa9b899db40610b"},"schema_version":"1.0"},"canonical_sha256":"4ac3f37848c738fdf27920c41ba0f44e20719fbf66ee5d8713f2bc5d73b3ad49","source":{"kind":"arxiv","id":"2602.00827","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.00827","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"arxiv_version","alias_value":"2602.00827v2","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.00827","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"pith_short_12","alias_value":"JLB7G6CIY44P","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"pith_short_16","alias_value":"JLB7G6CIY44P34TZ","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"pith_short_8","alias_value":"JLB7G6CI","created_at":"2026-05-27T01:04:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JLB7G6CIY44P34TZEDCBXIHUJY","target":"record","payload":{"canonical_record":{"source":{"id":"2602.00827","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-01-31T17:43:02Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"9ccec6f81b090bd7c1a6ccd69f9bf1363ca05dd77e0645a5e8dcfd51921627a3","abstract_canon_sha256":"4ad905c285d61cde2cba1b214916679a1988e0bf11771deaeaa9b899db40610b"},"schema_version":"1.0"},"canonical_sha256":"4ac3f37848c738fdf27920c41ba0f44e20719fbf66ee5d8713f2bc5d73b3ad49","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:04:55.660557Z","signature_b64":"YJwqPYUEXFwCT/IozP94tdMnCVC5wgerJkm+pKXUkOT7t+B1ULiaDr+4vlfFImrmdngewJND2dkQnULlAWsWDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ac3f37848c738fdf27920c41ba0f44e20719fbf66ee5d8713f2bc5d73b3ad49","last_reissued_at":"2026-05-27T01:04:55.659668Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:04:55.659668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.00827","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-27T01:04:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oNZuZiuCAza7HHbwXAAMYgkuM09ZBftODQo1txiWET+yH1hlGVtqHfqa5iyCNDX5TRiQg0mnI6VrSrjoNed5Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T15:50:47.774398Z"},"content_sha256":"626080f2d06f12a320c256564f41dcb6f9c6c20b6c473e456bb5b573f9b1a66c","schema_version":"1.0","event_id":"sha256:626080f2d06f12a320c256564f41dcb6f9c6c20b6c473e456bb5b573f9b1a66c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JLB7G6CIY44P34TZEDCBXIHUJY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jaeho Lee, Taehyeok Ha, Taesun Yeom","submitted_at":"2026-01-31T17:43:02Z","abstract_excerpt":"Feature learning strength (FLS), i.e., the inverse of the effective output scaling of a model, plays a critical role in shaping the optimization dynamics of neural nets. While its impact has been extensively studied under the asymptotic regimes -- both in training time and FLS -- existing theory offers limited insight into how FLS affects generalization in practical settings, such as when training is stopped upon reaching a target training risk. In this work, we investigate the impact of FLS on generalization in deep networks under such practical conditions. Through empirical studies, we first"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.00827","kind":"arxiv","version":2},"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/2602.00827/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":"2026-05-27T01:04:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ks57hMaDD1Qei2LCR2YiX+KuxBMaozPDfStCXAXiMyMMGkJLLIvPGcVjqQaMGGx3975YRQtszB/8+S4k32mbCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T15:50:47.775080Z"},"content_sha256":"2db99b0f89f2fffe0e6055972a1f3a65b9eb7ca35d380d9bb33028c94ba78870","schema_version":"1.0","event_id":"sha256:2db99b0f89f2fffe0e6055972a1f3a65b9eb7ca35d380d9bb33028c94ba78870"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JLB7G6CIY44P34TZEDCBXIHUJY/bundle.json","state_url":"https://pith.science/pith/JLB7G6CIY44P34TZEDCBXIHUJY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JLB7G6CIY44P34TZEDCBXIHUJY/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":"2026-05-31T15:50:47Z","links":{"resolver":"https://pith.science/pith/JLB7G6CIY44P34TZEDCBXIHUJY","bundle":"https://pith.science/pith/JLB7G6CIY44P34TZEDCBXIHUJY/bundle.json","state":"https://pith.science/pith/JLB7G6CIY44P34TZEDCBXIHUJY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JLB7G6CIY44P34TZEDCBXIHUJY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JLB7G6CIY44P34TZEDCBXIHUJY","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":"4ad905c285d61cde2cba1b214916679a1988e0bf11771deaeaa9b899db40610b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-01-31T17:43:02Z","title_canon_sha256":"9ccec6f81b090bd7c1a6ccd69f9bf1363ca05dd77e0645a5e8dcfd51921627a3"},"schema_version":"1.0","source":{"id":"2602.00827","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.00827","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"arxiv_version","alias_value":"2602.00827v2","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.00827","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"pith_short_12","alias_value":"JLB7G6CIY44P","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"pith_short_16","alias_value":"JLB7G6CIY44P34TZ","created_at":"2026-05-27T01:04:55Z"},{"alias_kind":"pith_short_8","alias_value":"JLB7G6CI","created_at":"2026-05-27T01:04:55Z"}],"graph_snapshots":[{"event_id":"sha256:2db99b0f89f2fffe0e6055972a1f3a65b9eb7ca35d380d9bb33028c94ba78870","target":"graph","created_at":"2026-05-27T01:04:55Z","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/2602.00827/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature learning strength (FLS), i.e., the inverse of the effective output scaling of a model, plays a critical role in shaping the optimization dynamics of neural nets. While its impact has been extensively studied under the asymptotic regimes -- both in training time and FLS -- existing theory offers limited insight into how FLS affects generalization in practical settings, such as when training is stopped upon reaching a target training risk. In this work, we investigate the impact of FLS on generalization in deep networks under such practical conditions. Through empirical studies, we first","authors_text":"Jaeho Lee, Taehyeok Ha, Taesun Yeom","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-01-31T17:43:02Z","title":"Over-Alignment vs Over-Fitting: The Role of Feature Learning Strength in Generalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.00827","kind":"arxiv","version":2},"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":"sha256:626080f2d06f12a320c256564f41dcb6f9c6c20b6c473e456bb5b573f9b1a66c","target":"record","created_at":"2026-05-27T01:04:55Z","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":"4ad905c285d61cde2cba1b214916679a1988e0bf11771deaeaa9b899db40610b","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-01-31T17:43:02Z","title_canon_sha256":"9ccec6f81b090bd7c1a6ccd69f9bf1363ca05dd77e0645a5e8dcfd51921627a3"},"schema_version":"1.0","source":{"id":"2602.00827","kind":"arxiv","version":2}},"canonical_sha256":"4ac3f37848c738fdf27920c41ba0f44e20719fbf66ee5d8713f2bc5d73b3ad49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ac3f37848c738fdf27920c41ba0f44e20719fbf66ee5d8713f2bc5d73b3ad49","first_computed_at":"2026-05-27T01:04:55.659668Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:04:55.659668Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YJwqPYUEXFwCT/IozP94tdMnCVC5wgerJkm+pKXUkOT7t+B1ULiaDr+4vlfFImrmdngewJND2dkQnULlAWsWDA==","signature_status":"signed_v1","signed_at":"2026-05-27T01:04:55.660557Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.00827","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:626080f2d06f12a320c256564f41dcb6f9c6c20b6c473e456bb5b573f9b1a66c","sha256:2db99b0f89f2fffe0e6055972a1f3a65b9eb7ca35d380d9bb33028c94ba78870"],"state_sha256":"a70130f5190c40b2cea58584935cef67049dec7be54c1f08801a3d6e356738b6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T+pOc7WpCSUjW+reyQw5mS3NvY3+zdWP6gLxG8d1ucniXg4gd5bF9GhBnf2IJZ+kXeExnLkMuPMrEUuw3Q95Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T15:50:47.778526Z","bundle_sha256":"20ca0423894cab6643c2631102a7f007e7ba11ef1e5df97d525641941d26e825"}}