{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:NKIMGCTERPMCHCBMFX4QCJDJUT","short_pith_number":"pith:NKIMGCTE","canonical_record":{"source":{"id":"2206.02791","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T04:12:01Z","cross_cats_sorted":[],"title_canon_sha256":"afc0a4972e139de57213a2c233333c541599e97941655e779382cf1f5d5ffdd3","abstract_canon_sha256":"d71b3bbe49c890c3d9e50c206db5557040133da03d12393cc2f876e9f275a1b3"},"schema_version":"1.0"},"canonical_sha256":"6a90c30a648bd823882c2df9012469a4e7fb8d61a576d3d09d349793b4d92eab","source":{"kind":"arxiv","id":"2206.02791","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02791","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02791v1","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02791","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"pith_short_12","alias_value":"NKIMGCTERPMC","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"pith_short_16","alias_value":"NKIMGCTERPMCHCBM","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"pith_short_8","alias_value":"NKIMGCTE","created_at":"2026-07-05T04:29:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:NKIMGCTERPMCHCBMFX4QCJDJUT","target":"record","payload":{"canonical_record":{"source":{"id":"2206.02791","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T04:12:01Z","cross_cats_sorted":[],"title_canon_sha256":"afc0a4972e139de57213a2c233333c541599e97941655e779382cf1f5d5ffdd3","abstract_canon_sha256":"d71b3bbe49c890c3d9e50c206db5557040133da03d12393cc2f876e9f275a1b3"},"schema_version":"1.0"},"canonical_sha256":"6a90c30a648bd823882c2df9012469a4e7fb8d61a576d3d09d349793b4d92eab","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:29:36.052768Z","signature_b64":"yzVTOujwHBaB/5EaNx8T2n/jcbIgdHvglHCp+Mmrn5XVXsSE+kSnlrB5kS3x8TjUzg/Pga/q2v7QB55aTlTxAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a90c30a648bd823882c2df9012469a4e7fb8d61a576d3d09d349793b4d92eab","last_reissued_at":"2026-07-05T04:29:36.052352Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:29:36.052352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.02791","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":"2026-07-05T04:29:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f8zHorAr4l/RDrDTAKd3dCjW3dWiBk+Esp9QP20ebd3TTD+qc2xMGZmXP/yhUAB5N5Ush4V1DIvXWk9kGFnaAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:52:55.803701Z"},"content_sha256":"7cc229c7c38f29e28a535b1a18b5cd5836c4d76722d8471565b3421f7efc96d7","schema_version":"1.0","event_id":"sha256:7cc229c7c38f29e28a535b1a18b5cd5836c4d76722d8471565b3421f7efc96d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:NKIMGCTERPMCHCBMFX4QCJDJUT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bo Han, De Cheng, Gang Niu, Masashi Sugiyama, Nannan Wang, Tongliang Liu, Xinbo Gao, Yixiong Ning","submitted_at":"2022-06-06T04:12:01Z","abstract_excerpt":"In label-noise learning, estimating the transition matrix has attracted more and more attention as the matrix plays an important role in building statistically consistent classifiers. However, it is very challenging to estimate the transition matrix T(x), where x denotes the instance, because it is unidentifiable under the instance-dependent noise(IDN). To address this problem, we have noticed that, there are psychological and physiological evidences showing that we humans are more likely to annotate instances of similar appearances to the same classes, and thus poor-quality or ambiguous insta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02791","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/2206.02791/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":"2026-07-05T04:29:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"crNG9LJoH1z7fTIdPSwAoUZoLDlxw4LUAun0ELSfhOxC3IjZsc3akRTGxkCWhi333uGtXY1g2uToI/HYLtn1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T14:52:55.804082Z"},"content_sha256":"0dda0ef3fec57416e7f94852e5646a28c34ac31fc52b8e2f86819279c02595d7","schema_version":"1.0","event_id":"sha256:0dda0ef3fec57416e7f94852e5646a28c34ac31fc52b8e2f86819279c02595d7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NKIMGCTERPMCHCBMFX4QCJDJUT/bundle.json","state_url":"https://pith.science/pith/NKIMGCTERPMCHCBMFX4QCJDJUT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NKIMGCTERPMCHCBMFX4QCJDJUT/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":"2026-07-06T14:52:55Z","links":{"resolver":"https://pith.science/pith/NKIMGCTERPMCHCBMFX4QCJDJUT","bundle":"https://pith.science/pith/NKIMGCTERPMCHCBMFX4QCJDJUT/bundle.json","state":"https://pith.science/pith/NKIMGCTERPMCHCBMFX4QCJDJUT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NKIMGCTERPMCHCBMFX4QCJDJUT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:NKIMGCTERPMCHCBMFX4QCJDJUT","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":"d71b3bbe49c890c3d9e50c206db5557040133da03d12393cc2f876e9f275a1b3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T04:12:01Z","title_canon_sha256":"afc0a4972e139de57213a2c233333c541599e97941655e779382cf1f5d5ffdd3"},"schema_version":"1.0","source":{"id":"2206.02791","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.02791","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"arxiv_version","alias_value":"2206.02791v1","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.02791","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"pith_short_12","alias_value":"NKIMGCTERPMC","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"pith_short_16","alias_value":"NKIMGCTERPMCHCBM","created_at":"2026-07-05T04:29:36Z"},{"alias_kind":"pith_short_8","alias_value":"NKIMGCTE","created_at":"2026-07-05T04:29:36Z"}],"graph_snapshots":[{"event_id":"sha256:0dda0ef3fec57416e7f94852e5646a28c34ac31fc52b8e2f86819279c02595d7","target":"graph","created_at":"2026-07-05T04:29:36Z","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/2206.02791/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In label-noise learning, estimating the transition matrix has attracted more and more attention as the matrix plays an important role in building statistically consistent classifiers. However, it is very challenging to estimate the transition matrix T(x), where x denotes the instance, because it is unidentifiable under the instance-dependent noise(IDN). To address this problem, we have noticed that, there are psychological and physiological evidences showing that we humans are more likely to annotate instances of similar appearances to the same classes, and thus poor-quality or ambiguous insta","authors_text":"Bo Han, De Cheng, Gang Niu, Masashi Sugiyama, Nannan Wang, Tongliang Liu, Xinbo Gao, Yixiong Ning","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T04:12:01Z","title":"Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.02791","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":"sha256:7cc229c7c38f29e28a535b1a18b5cd5836c4d76722d8471565b3421f7efc96d7","target":"record","created_at":"2026-07-05T04:29:36Z","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":"d71b3bbe49c890c3d9e50c206db5557040133da03d12393cc2f876e9f275a1b3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-06-06T04:12:01Z","title_canon_sha256":"afc0a4972e139de57213a2c233333c541599e97941655e779382cf1f5d5ffdd3"},"schema_version":"1.0","source":{"id":"2206.02791","kind":"arxiv","version":1}},"canonical_sha256":"6a90c30a648bd823882c2df9012469a4e7fb8d61a576d3d09d349793b4d92eab","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a90c30a648bd823882c2df9012469a4e7fb8d61a576d3d09d349793b4d92eab","first_computed_at":"2026-07-05T04:29:36.052352Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:29:36.052352Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yzVTOujwHBaB/5EaNx8T2n/jcbIgdHvglHCp+Mmrn5XVXsSE+kSnlrB5kS3x8TjUzg/Pga/q2v7QB55aTlTxAA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:29:36.052768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.02791","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cc229c7c38f29e28a535b1a18b5cd5836c4d76722d8471565b3421f7efc96d7","sha256:0dda0ef3fec57416e7f94852e5646a28c34ac31fc52b8e2f86819279c02595d7"],"state_sha256":"e5d80e32117fa86fa1428e14022f6b6f21c32a2a2500e7037ebb020142649fe5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wiox2o4Pl0ZrAZ1RRGt7TvyEvfLtrDbU7fOxiOpBzMfW1gyBreE9PQG6ieSasOfKn3JEc43RXy+vhjt/SeLbBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T14:52:55.806035Z","bundle_sha256":"cc9c11095302ca668ad6e3e1d9cc60d453eb77cb9cab4cffaf809018514cc125"}}