{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JTFWTPXKIZBOVDEFZEXBOPS6XY","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":"19dd4d896172f8dfb66afeef716ab04283a68787f8d39a4ee8048b2ed7200523","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-04T18:06:36Z","title_canon_sha256":"59734348d64ceb2a6c8d4ed3dee6e758c86e51f1f9d603d6463208692c670875"},"schema_version":"1.0","source":{"id":"2303.02472","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.02472","created_at":"2026-07-05T07:34:46Z"},{"alias_kind":"arxiv_version","alias_value":"2303.02472v2","created_at":"2026-07-05T07:34:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.02472","created_at":"2026-07-05T07:34:46Z"},{"alias_kind":"pith_short_12","alias_value":"JTFWTPXKIZBO","created_at":"2026-07-05T07:34:46Z"},{"alias_kind":"pith_short_16","alias_value":"JTFWTPXKIZBOVDEF","created_at":"2026-07-05T07:34:46Z"},{"alias_kind":"pith_short_8","alias_value":"JTFWTPXK","created_at":"2026-07-05T07:34:46Z"}],"graph_snapshots":[{"event_id":"sha256:60602aa177d4f42be5c1c41a915ecceb437d679873ef28f86cc2f686e4c042a8","target":"graph","created_at":"2026-07-05T07:34:46Z","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/2303.02472/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Studies have shown that modern neural networks tend to be poorly calibrated due to over-confident predictions. Traditionally, post-processing methods have been used to calibrate the model after training. In recent years, various trainable calibration measures have been proposed to incorporate them directly into the training process. However, these methods all incorporate internal hyperparameters, and the performance of these calibration objectives relies on tuning these hyperparameters, incurring more computational costs as the size of neural networks and datasets become larger. As such, we pr","authors_text":"Chang D. Yoo, Eunseop Yoon, Gwangsu Kim, Hee Suk Yoon, Joshua Tian Jin Tee, Sunjae Yoon, Yingzhen Li","cross_cats":["cs.AI","cs.CL","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-04T18:06:36Z","title":"ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.02472","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:b73b6e597aa52aa99a9be0cce11261c86022623a13d4e460201fbfaeaf21c7a9","target":"record","created_at":"2026-07-05T07:34:46Z","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":"19dd4d896172f8dfb66afeef716ab04283a68787f8d39a4ee8048b2ed7200523","cross_cats_sorted":["cs.AI","cs.CL","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-03-04T18:06:36Z","title_canon_sha256":"59734348d64ceb2a6c8d4ed3dee6e758c86e51f1f9d603d6463208692c670875"},"schema_version":"1.0","source":{"id":"2303.02472","kind":"arxiv","version":2}},"canonical_sha256":"4ccb69beea4642ea8c85c92e173e5ebe39173224b8b80bab7b47b38b03f5b057","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ccb69beea4642ea8c85c92e173e5ebe39173224b8b80bab7b47b38b03f5b057","first_computed_at":"2026-07-05T07:34:46.963196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:34:46.963196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OXDSMTd1jFCRsqEm5nEA6jHyoOJ8u+U80D1Lti67J5gXvrDEQKVbbGTZ8eBlHPlW31jwaYGI+ZHDmU/mX+eRAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:34:46.963682Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.02472","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b73b6e597aa52aa99a9be0cce11261c86022623a13d4e460201fbfaeaf21c7a9","sha256:60602aa177d4f42be5c1c41a915ecceb437d679873ef28f86cc2f686e4c042a8"],"state_sha256":"c528e6c01cd5e1b4a65c0d3a1cf81c9d1f88ca0c54959ebd582d97d6e597ae84"}