{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CIHOQZEO26JYEZAPR34QG2LXAC","short_pith_number":"pith:CIHOQZEO","canonical_record":{"source":{"id":"2303.07062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T12:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"3694d7beb8ce1b0e30fe756fc77997b3f37f84ef3dba17b514445d6d9139a4e6","abstract_canon_sha256":"5bcfd3cca728dc05abda95ffc47210a3e619145e9d08bab43a9816d41b6fadfc"},"schema_version":"1.0"},"canonical_sha256":"120ee8648ed79382640f8ef9036977009e2b1b52b766cb62744f8e3f93f2dc7f","source":{"kind":"arxiv","id":"2303.07062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07062","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07062v1","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07062","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"pith_short_12","alias_value":"CIHOQZEO26JY","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"pith_short_16","alias_value":"CIHOQZEO26JYEZAP","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"pith_short_8","alias_value":"CIHOQZEO","created_at":"2026-07-05T11:32:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CIHOQZEO26JYEZAPR34QG2LXAC","target":"record","payload":{"canonical_record":{"source":{"id":"2303.07062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T12:34:17Z","cross_cats_sorted":[],"title_canon_sha256":"3694d7beb8ce1b0e30fe756fc77997b3f37f84ef3dba17b514445d6d9139a4e6","abstract_canon_sha256":"5bcfd3cca728dc05abda95ffc47210a3e619145e9d08bab43a9816d41b6fadfc"},"schema_version":"1.0"},"canonical_sha256":"120ee8648ed79382640f8ef9036977009e2b1b52b766cb62744f8e3f93f2dc7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:32:12.573677Z","signature_b64":"zcC70O6X8Z+/nAK+sb3isuCoHF0RdVJMc0Hj5MKNobIUWSlBtxJao4UqHIND8SCpthnebFHjyBsd+gAomnCuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"120ee8648ed79382640f8ef9036977009e2b1b52b766cb62744f8e3f93f2dc7f","last_reissued_at":"2026-07-05T11:32:12.573170Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:32:12.573170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.07062","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":"2026-07-05T11:32:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RpLWukDAhhe5tt+HUlIibfY2VcFHexxmmXe4tEXb7tj/ARZF5TyGTnj4f5eZcEhf0BWr36fC/wQZwS6G+FxACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:17:27.194748Z"},"content_sha256":"5e855e247be37ca3ac20034af1d6cdd9d24b3dbc59c3a3805685984cc279021c","schema_version":"1.0","event_id":"sha256:5e855e247be37ca3ac20034af1d6cdd9d24b3dbc59c3a3805685984cc279021c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CIHOQZEO26JYEZAPR34QG2LXAC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantile Online Learning for Semiconductor Failure Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aaron Voon-Yew Thean, Bangjian Zhou, J. Senthilnath, Maheswari Sivan, Pan Jieming","submitted_at":"2023-03-13T12:34:17Z","abstract_excerpt":"With high device integration density and evolving sophisticated device structures in semiconductor chips, detecting defects becomes elusive and complex. Conventionally, machine learning (ML)-guided failure analysis is performed with offline batch mode training. However, the occurrence of new types of failures or changes in the data distribution demands retraining the model. During the manufacturing process, detecting defects in a single-pass online fashion is more challenging and favoured. This paper focuses on novel quantile online learning for semiconductor failure analysis. The proposed met"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07062","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/2303.07062/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":"2026-07-05T11:32:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kGLGc1Yj4sF2aPVeMoWm8DAHQtRhk0f32PCE7uXSc5H4dmA1kGfHs/bFH1Qd8PltO5BtsQG76/w7FOkIS5ngDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T12:17:27.195138Z"},"content_sha256":"cfe446eee601d6d325580b7959c11132da28f942400e4b431d3d28926e042247","schema_version":"1.0","event_id":"sha256:cfe446eee601d6d325580b7959c11132da28f942400e4b431d3d28926e042247"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CIHOQZEO26JYEZAPR34QG2LXAC/bundle.json","state_url":"https://pith.science/pith/CIHOQZEO26JYEZAPR34QG2LXAC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CIHOQZEO26JYEZAPR34QG2LXAC/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":"2026-07-07T12:17:27Z","links":{"resolver":"https://pith.science/pith/CIHOQZEO26JYEZAPR34QG2LXAC","bundle":"https://pith.science/pith/CIHOQZEO26JYEZAPR34QG2LXAC/bundle.json","state":"https://pith.science/pith/CIHOQZEO26JYEZAPR34QG2LXAC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CIHOQZEO26JYEZAPR34QG2LXAC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CIHOQZEO26JYEZAPR34QG2LXAC","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":"5bcfd3cca728dc05abda95ffc47210a3e619145e9d08bab43a9816d41b6fadfc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T12:34:17Z","title_canon_sha256":"3694d7beb8ce1b0e30fe756fc77997b3f37f84ef3dba17b514445d6d9139a4e6"},"schema_version":"1.0","source":{"id":"2303.07062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.07062","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"arxiv_version","alias_value":"2303.07062v1","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.07062","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"pith_short_12","alias_value":"CIHOQZEO26JY","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"pith_short_16","alias_value":"CIHOQZEO26JYEZAP","created_at":"2026-07-05T11:32:12Z"},{"alias_kind":"pith_short_8","alias_value":"CIHOQZEO","created_at":"2026-07-05T11:32:12Z"}],"graph_snapshots":[{"event_id":"sha256:cfe446eee601d6d325580b7959c11132da28f942400e4b431d3d28926e042247","target":"graph","created_at":"2026-07-05T11:32:12Z","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/2303.07062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With high device integration density and evolving sophisticated device structures in semiconductor chips, detecting defects becomes elusive and complex. Conventionally, machine learning (ML)-guided failure analysis is performed with offline batch mode training. However, the occurrence of new types of failures or changes in the data distribution demands retraining the model. During the manufacturing process, detecting defects in a single-pass online fashion is more challenging and favoured. This paper focuses on novel quantile online learning for semiconductor failure analysis. The proposed met","authors_text":"Aaron Voon-Yew Thean, Bangjian Zhou, J. Senthilnath, Maheswari Sivan, Pan Jieming","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T12:34:17Z","title":"Quantile Online Learning for Semiconductor Failure Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.07062","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":"sha256:5e855e247be37ca3ac20034af1d6cdd9d24b3dbc59c3a3805685984cc279021c","target":"record","created_at":"2026-07-05T11:32:12Z","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":"5bcfd3cca728dc05abda95ffc47210a3e619145e9d08bab43a9816d41b6fadfc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-13T12:34:17Z","title_canon_sha256":"3694d7beb8ce1b0e30fe756fc77997b3f37f84ef3dba17b514445d6d9139a4e6"},"schema_version":"1.0","source":{"id":"2303.07062","kind":"arxiv","version":1}},"canonical_sha256":"120ee8648ed79382640f8ef9036977009e2b1b52b766cb62744f8e3f93f2dc7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"120ee8648ed79382640f8ef9036977009e2b1b52b766cb62744f8e3f93f2dc7f","first_computed_at":"2026-07-05T11:32:12.573170Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:32:12.573170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zcC70O6X8Z+/nAK+sb3isuCoHF0RdVJMc0Hj5MKNobIUWSlBtxJao4UqHIND8SCpthnebFHjyBsd+gAomnCuAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:32:12.573677Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.07062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e855e247be37ca3ac20034af1d6cdd9d24b3dbc59c3a3805685984cc279021c","sha256:cfe446eee601d6d325580b7959c11132da28f942400e4b431d3d28926e042247"],"state_sha256":"df70d97f67cc1b75b69c45bf07312f9b00fa7dfd2485196dac532c68d6b9d259"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3/e5HLynIMYZaK4YhfZ2C6T5aoCYFhl9anNrvIMVns7wXeVaRly6+tpSaOyQSO3PRz1y1xsqRFNHXZhCB5nUDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T12:17:27.197120Z","bundle_sha256":"f9f462e6b4084c430297b20dc5d7f6dcd1e651fd07facfb8acfe8710935b7a15"}}