{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WLOPBSHVGLJU7GO22OPP4RKP7D","short_pith_number":"pith:WLOPBSHV","canonical_record":{"source":{"id":"2308.11911","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-23T04:52:48Z","cross_cats_sorted":[],"title_canon_sha256":"f4c96baa839f3a84324bf5728305f14bb32d75149f5e463a4c5f87d03425cc57","abstract_canon_sha256":"7271706bde9bd8fc19649f36b1bfcdd6ed85d84e42cee6861766b81ef51b86d3"},"schema_version":"1.0"},"canonical_sha256":"b2dcf0c8f532d34f99dad39efe454ff8d3157238c47fa081db82b667fafc0b87","source":{"kind":"arxiv","id":"2308.11911","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.11911","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"arxiv_version","alias_value":"2308.11911v2","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11911","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"pith_short_12","alias_value":"WLOPBSHVGLJU","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"pith_short_16","alias_value":"WLOPBSHVGLJU7GO2","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"pith_short_8","alias_value":"WLOPBSHV","created_at":"2026-07-05T06:44:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WLOPBSHVGLJU7GO22OPP4RKP7D","target":"record","payload":{"canonical_record":{"source":{"id":"2308.11911","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-23T04:52:48Z","cross_cats_sorted":[],"title_canon_sha256":"f4c96baa839f3a84324bf5728305f14bb32d75149f5e463a4c5f87d03425cc57","abstract_canon_sha256":"7271706bde9bd8fc19649f36b1bfcdd6ed85d84e42cee6861766b81ef51b86d3"},"schema_version":"1.0"},"canonical_sha256":"b2dcf0c8f532d34f99dad39efe454ff8d3157238c47fa081db82b667fafc0b87","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:44:09.368144Z","signature_b64":"KBg9IX76xeZ9d+wet/qqK/1mPmB2LapicvHeY0WDGCeTfAwCF6ZEu+QpucWUU7vinyyzvdkEsdQjiqVmJzA6CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2dcf0c8f532d34f99dad39efe454ff8d3157238c47fa081db82b667fafc0b87","last_reissued_at":"2026-07-05T06:44:09.367680Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:44:09.367680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.11911","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":"2026-07-05T06:44:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZMzyL5JGtLMfDz1t8fqoEC9C/EgzMAtcIhpOEduJM0ZA7+aR9TbgJiImx2oDIBqVor5EP1JUNdsMXRGkil04BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:06:17.576222Z"},"content_sha256":"476daaaa7eb90b956896a11b614db10082ea71c21f3b6d0108aab02565641566","schema_version":"1.0","event_id":"sha256:476daaaa7eb90b956896a11b614db10082ea71c21f3b6d0108aab02565641566"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WLOPBSHVGLJU7GO22OPP4RKP7D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ACLS: Adaptive and Conditional Label Smoothing for Network Calibration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bumsub Ham, DongHyeon Baek, Hyekang Park, Jongyoun Noh, Youngmin Oh","submitted_at":"2023-08-23T04:52:48Z","abstract_excerpt":"We address the problem of network calibration adjusting miscalibrated confidences of deep neural networks. Many approaches to network calibration adopt a regularization-based method that exploits a regularization term to smooth the miscalibrated confidences. Although these approaches have shown the effectiveness on calibrating the networks, there is still a lack of understanding on the underlying principles of regularization in terms of network calibration. We present in this paper an in-depth analysis of existing regularization-based methods, providing a better understanding on how they affec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11911","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/2308.11911/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":"2026-07-05T06:44:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"puD2E/d5Cw+z3g1fptjYwOBg9GmKlsCglcnhAKPxJJJyZfZfIVq7QmeyJqTrS0AjXDpuIhhlEDohX2gniAkGCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:06:17.577865Z"},"content_sha256":"f50d20d52c755775d1a2aa2ff4094f3bfe3afcf82dc507a50e4765b4e89c9420","schema_version":"1.0","event_id":"sha256:f50d20d52c755775d1a2aa2ff4094f3bfe3afcf82dc507a50e4765b4e89c9420"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WLOPBSHVGLJU7GO22OPP4RKP7D/bundle.json","state_url":"https://pith.science/pith/WLOPBSHVGLJU7GO22OPP4RKP7D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WLOPBSHVGLJU7GO22OPP4RKP7D/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":"2026-08-21T10:06:17Z","links":{"resolver":"https://pith.science/pith/WLOPBSHVGLJU7GO22OPP4RKP7D","bundle":"https://pith.science/pith/WLOPBSHVGLJU7GO22OPP4RKP7D/bundle.json","state":"https://pith.science/pith/WLOPBSHVGLJU7GO22OPP4RKP7D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WLOPBSHVGLJU7GO22OPP4RKP7D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WLOPBSHVGLJU7GO22OPP4RKP7D","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":"7271706bde9bd8fc19649f36b1bfcdd6ed85d84e42cee6861766b81ef51b86d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-23T04:52:48Z","title_canon_sha256":"f4c96baa839f3a84324bf5728305f14bb32d75149f5e463a4c5f87d03425cc57"},"schema_version":"1.0","source":{"id":"2308.11911","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.11911","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"arxiv_version","alias_value":"2308.11911v2","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.11911","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"pith_short_12","alias_value":"WLOPBSHVGLJU","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"pith_short_16","alias_value":"WLOPBSHVGLJU7GO2","created_at":"2026-07-05T06:44:09Z"},{"alias_kind":"pith_short_8","alias_value":"WLOPBSHV","created_at":"2026-07-05T06:44:09Z"}],"graph_snapshots":[{"event_id":"sha256:f50d20d52c755775d1a2aa2ff4094f3bfe3afcf82dc507a50e4765b4e89c9420","target":"graph","created_at":"2026-07-05T06:44:09Z","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/2308.11911/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the problem of network calibration adjusting miscalibrated confidences of deep neural networks. Many approaches to network calibration adopt a regularization-based method that exploits a regularization term to smooth the miscalibrated confidences. Although these approaches have shown the effectiveness on calibrating the networks, there is still a lack of understanding on the underlying principles of regularization in terms of network calibration. We present in this paper an in-depth analysis of existing regularization-based methods, providing a better understanding on how they affec","authors_text":"Bumsub Ham, DongHyeon Baek, Hyekang Park, Jongyoun Noh, Youngmin Oh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-23T04:52:48Z","title":"ACLS: Adaptive and Conditional Label Smoothing for Network Calibration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.11911","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":"sha256:476daaaa7eb90b956896a11b614db10082ea71c21f3b6d0108aab02565641566","target":"record","created_at":"2026-07-05T06:44:09Z","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":"7271706bde9bd8fc19649f36b1bfcdd6ed85d84e42cee6861766b81ef51b86d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-08-23T04:52:48Z","title_canon_sha256":"f4c96baa839f3a84324bf5728305f14bb32d75149f5e463a4c5f87d03425cc57"},"schema_version":"1.0","source":{"id":"2308.11911","kind":"arxiv","version":2}},"canonical_sha256":"b2dcf0c8f532d34f99dad39efe454ff8d3157238c47fa081db82b667fafc0b87","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2dcf0c8f532d34f99dad39efe454ff8d3157238c47fa081db82b667fafc0b87","first_computed_at":"2026-07-05T06:44:09.367680Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:44:09.367680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KBg9IX76xeZ9d+wet/qqK/1mPmB2LapicvHeY0WDGCeTfAwCF6ZEu+QpucWUU7vinyyzvdkEsdQjiqVmJzA6CA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:44:09.368144Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.11911","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:476daaaa7eb90b956896a11b614db10082ea71c21f3b6d0108aab02565641566","sha256:f50d20d52c755775d1a2aa2ff4094f3bfe3afcf82dc507a50e4765b4e89c9420"],"state_sha256":"330d66c1420a87d74f2d447b072a361b78c54cbba9d50692af4be744da29c099"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cpcxe6XUysBM8bpwZa+WLn96mTLS9qu1+Tjt9XMOE/+3TmsCN6pUWDZ0sQ5TrTyhMxP8OMb3NwA4zh9xChD/Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T10:06:17.591681Z","bundle_sha256":"b6dfb2801b1f68d9826925e1cfc3860ca4d2051d76040e741d2d90f84a70225d"}}