{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:YK45SNAOAYN2IQPO3RMKRKDJHA","short_pith_number":"pith:YK45SNAO","canonical_record":{"source":{"id":"1409.7780","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-09-27T07:45:56Z","cross_cats_sorted":[],"title_canon_sha256":"895b0e94c0d409a19cd0a9c880cf42b64df0266ff9aeb8baf51d470d2cc94370","abstract_canon_sha256":"e45f255134e0dc9bedb9d46d7b650d4b2e0682d4b70c76b2e730e55a28d943d3"},"schema_version":"1.0"},"canonical_sha256":"c2b9d9340e061ba441eedc58a8a869380b174188ac58c3832ae95356ebcc4055","source":{"kind":"arxiv","id":"1409.7780","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.7780","created_at":"2026-05-18T02:41:40Z"},{"alias_kind":"arxiv_version","alias_value":"1409.7780v1","created_at":"2026-05-18T02:41:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.7780","created_at":"2026-05-18T02:41:40Z"},{"alias_kind":"pith_short_12","alias_value":"YK45SNAOAYN2","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"YK45SNAOAYN2IQPO","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"YK45SNAO","created_at":"2026-05-18T12:28:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:YK45SNAOAYN2IQPO3RMKRKDJHA","target":"record","payload":{"canonical_record":{"source":{"id":"1409.7780","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-09-27T07:45:56Z","cross_cats_sorted":[],"title_canon_sha256":"895b0e94c0d409a19cd0a9c880cf42b64df0266ff9aeb8baf51d470d2cc94370","abstract_canon_sha256":"e45f255134e0dc9bedb9d46d7b650d4b2e0682d4b70c76b2e730e55a28d943d3"},"schema_version":"1.0"},"canonical_sha256":"c2b9d9340e061ba441eedc58a8a869380b174188ac58c3832ae95356ebcc4055","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:41:40.632600Z","signature_b64":"4kVkL25iN7hG49Iznr/bW8XGd7gpXk/TZJDSD5qnWum5Yj61UJ33UyPuLkVFfqg/JB6A8gijLF0XJpTK2gDHBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2b9d9340e061ba441eedc58a8a869380b174188ac58c3832ae95356ebcc4055","last_reissued_at":"2026-05-18T02:41:40.631882Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:41:40.631882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1409.7780","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":"2026-05-18T02:41:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A2sMlCvWp4b/V85LvCHwjbS1Qdl0QqISCFu/4efET5A4nEFBDGKJ5admxjLclJlSn5cZ6GE5vyQO4Sz0YzjPBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T18:14:55.314727Z"},"content_sha256":"85f30edb5b7a4ed39fcbb9f6934f46a16154aa812c58d9eae9e4954fde23c2de","schema_version":"1.0","event_id":"sha256:85f30edb5b7a4ed39fcbb9f6934f46a16154aa812c58d9eae9e4954fde23c2de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:YK45SNAOAYN2IQPO3RMKRKDJHA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Maximum mutual information regularized classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jim Jing-Yan Wang, Shiguang Zhao, Xin Gao, Yi Wang","submitted_at":"2014-09-27T07:45:56Z","abstract_excerpt":"In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label. We argue that, with the learned classifier, the uncertainty of the true class label of a data sample should be reduced by knowing its classification response as much as possible. The reduced uncertainty is measured by the mutual information between the classification response and the true class label. To this end, when learning a linear classifier, we propose to maximize the mutual information bet"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.7780","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":""},"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":"2026-05-18T02:41:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lLShOMbh3Qu1J2tIr0jVC5Mj/VX+Zr3VlWAhyqOry4xMzZDMYyabpchBL9/hCQrfTff18ItQ6QMV/qLpHHIkDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T18:14:55.315298Z"},"content_sha256":"c09cb8f4c767defa07ccebf8738a5ccdeba40e7d53e5df0732d5fcd3abe85ae0","schema_version":"1.0","event_id":"sha256:c09cb8f4c767defa07ccebf8738a5ccdeba40e7d53e5df0732d5fcd3abe85ae0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YK45SNAOAYN2IQPO3RMKRKDJHA/bundle.json","state_url":"https://pith.science/pith/YK45SNAOAYN2IQPO3RMKRKDJHA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YK45SNAOAYN2IQPO3RMKRKDJHA/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":"2026-05-27T18:14:55Z","links":{"resolver":"https://pith.science/pith/YK45SNAOAYN2IQPO3RMKRKDJHA","bundle":"https://pith.science/pith/YK45SNAOAYN2IQPO3RMKRKDJHA/bundle.json","state":"https://pith.science/pith/YK45SNAOAYN2IQPO3RMKRKDJHA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YK45SNAOAYN2IQPO3RMKRKDJHA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:YK45SNAOAYN2IQPO3RMKRKDJHA","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":"e45f255134e0dc9bedb9d46d7b650d4b2e0682d4b70c76b2e730e55a28d943d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-09-27T07:45:56Z","title_canon_sha256":"895b0e94c0d409a19cd0a9c880cf42b64df0266ff9aeb8baf51d470d2cc94370"},"schema_version":"1.0","source":{"id":"1409.7780","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.7780","created_at":"2026-05-18T02:41:40Z"},{"alias_kind":"arxiv_version","alias_value":"1409.7780v1","created_at":"2026-05-18T02:41:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.7780","created_at":"2026-05-18T02:41:40Z"},{"alias_kind":"pith_short_12","alias_value":"YK45SNAOAYN2","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_16","alias_value":"YK45SNAOAYN2IQPO","created_at":"2026-05-18T12:28:57Z"},{"alias_kind":"pith_short_8","alias_value":"YK45SNAO","created_at":"2026-05-18T12:28:57Z"}],"graph_snapshots":[{"event_id":"sha256:c09cb8f4c767defa07ccebf8738a5ccdeba40e7d53e5df0732d5fcd3abe85ae0","target":"graph","created_at":"2026-05-18T02:41:40Z","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"},"paper":{"abstract_excerpt":"In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label. We argue that, with the learned classifier, the uncertainty of the true class label of a data sample should be reduced by knowing its classification response as much as possible. The reduced uncertainty is measured by the mutual information between the classification response and the true class label. To this end, when learning a linear classifier, we propose to maximize the mutual information bet","authors_text":"Jim Jing-Yan Wang, Shiguang Zhao, Xin Gao, Yi Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-09-27T07:45:56Z","title":"Maximum mutual information regularized classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.7780","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":"sha256:85f30edb5b7a4ed39fcbb9f6934f46a16154aa812c58d9eae9e4954fde23c2de","target":"record","created_at":"2026-05-18T02:41:40Z","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":"e45f255134e0dc9bedb9d46d7b650d4b2e0682d4b70c76b2e730e55a28d943d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2014-09-27T07:45:56Z","title_canon_sha256":"895b0e94c0d409a19cd0a9c880cf42b64df0266ff9aeb8baf51d470d2cc94370"},"schema_version":"1.0","source":{"id":"1409.7780","kind":"arxiv","version":1}},"canonical_sha256":"c2b9d9340e061ba441eedc58a8a869380b174188ac58c3832ae95356ebcc4055","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2b9d9340e061ba441eedc58a8a869380b174188ac58c3832ae95356ebcc4055","first_computed_at":"2026-05-18T02:41:40.631882Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:41:40.631882Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4kVkL25iN7hG49Iznr/bW8XGd7gpXk/TZJDSD5qnWum5Yj61UJ33UyPuLkVFfqg/JB6A8gijLF0XJpTK2gDHBw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:41:40.632600Z","signed_message":"canonical_sha256_bytes"},"source_id":"1409.7780","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:85f30edb5b7a4ed39fcbb9f6934f46a16154aa812c58d9eae9e4954fde23c2de","sha256:c09cb8f4c767defa07ccebf8738a5ccdeba40e7d53e5df0732d5fcd3abe85ae0"],"state_sha256":"658dfcb8142758ef05ccb5b553a5d64821681d4d254ec71abadfce05bbc6891e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"C7rwgoa2KGzNAPZ4pJ4fFLFFZFW3pKc6jAhLdaFBs46j5p1T2dXyyujfFsfCv6XNvnyOWxbx7w57tD0mqtaXCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T18:14:55.319473Z","bundle_sha256":"8f9dc0b9988843b762053c067868892b51758da993cb581f98de93066d1ec929"}}