{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:KQL46MIXFY45TJ6NDM3AWMXJP2","short_pith_number":"pith:KQL46MIX","canonical_record":{"source":{"id":"2005.04671","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-10T14:02:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c9ff6550d603192e2dc0264037d97e776cbf7b34923241ca20e91bcd51b83db9","abstract_canon_sha256":"9eb867613c2090191c6d4ca6475836bee6e108636c8ba14c019f069a3e0c21b1"},"schema_version":"1.0"},"canonical_sha256":"5417cf31172e39d9a7cd1b360b32e97e8bf40bbd9ae601fe3f40530fcfd55dbe","source":{"kind":"arxiv","id":"2005.04671","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04671","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04671v2","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04671","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"pith_short_12","alias_value":"KQL46MIXFY45","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"pith_short_16","alias_value":"KQL46MIXFY45TJ6N","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"pith_short_8","alias_value":"KQL46MIX","created_at":"2026-07-05T01:16:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:KQL46MIXFY45TJ6NDM3AWMXJP2","target":"record","payload":{"canonical_record":{"source":{"id":"2005.04671","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-10T14:02:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"c9ff6550d603192e2dc0264037d97e776cbf7b34923241ca20e91bcd51b83db9","abstract_canon_sha256":"9eb867613c2090191c6d4ca6475836bee6e108636c8ba14c019f069a3e0c21b1"},"schema_version":"1.0"},"canonical_sha256":"5417cf31172e39d9a7cd1b360b32e97e8bf40bbd9ae601fe3f40530fcfd55dbe","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:16:15.014646Z","signature_b64":"l7CXgRXBcmQTIz29GGsYANn8axbnMif6+QOEsdtzoYZk6/YfTiFTz+RPL5qVM36jDS/NKhpdMimV6yQAR79eCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5417cf31172e39d9a7cd1b360b32e97e8bf40bbd9ae601fe3f40530fcfd55dbe","last_reissued_at":"2026-07-05T01:16:15.014075Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:16:15.014075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.04671","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":"2026-07-05T01:16:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uJFvsyqhxxog2hl5BmDRF4MAaR/WMbehJTd3AjAS9F3THmTzCcqwqjJp64oyL785claEg2cEvFw1IwKLar8KCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T05:35:15.807138Z"},"content_sha256":"29192e19ae7cd36862b1caf83de8e3a838a75a3c78e4b9cac1ddb75cccb24923","schema_version":"1.0","event_id":"sha256:29192e19ae7cd36862b1caf83de8e3a838a75a3c78e4b9cac1ddb75cccb24923"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:KQL46MIXFY45TJ6NDM3AWMXJP2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Miaohua Zhang, Yongsheng Gao","submitted_at":"2020-05-10T14:02:40Z","abstract_excerpt":"Two-dimensional singular decomposition (2DSVD) has been widely used for image processing tasks, such as image reconstruction, classification, and clustering. However, traditional 2DSVD algorithm is based on the mean square error (MSE) loss, which is sensitive to outliers. To overcome this problem, we propose a robust 2DSVD framework based on a generalized kernel risk sensitive loss (GKRSL-2DSVD) which is more robust to noise and and outliers. Since the proposed objective function is non-convex, a majorization-minimization algorithm is developed to efficiently solve it with guaranteed convergen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04671","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/2005.04671/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":"2026-07-05T01:16:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ovkQw5vdVyk6OMO3Rw3Vb4DHVk8n327u1NJsVvc6WclHSKIGTW6638TGjifq4CtZBd7EtyVH0RN4YBFeT1vNBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T05:35:15.807483Z"},"content_sha256":"bf2d5c92b41bdccd991a7503d273bc706dc4c67ed12c29024fda3b64a5df90f0","schema_version":"1.0","event_id":"sha256:bf2d5c92b41bdccd991a7503d273bc706dc4c67ed12c29024fda3b64a5df90f0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KQL46MIXFY45TJ6NDM3AWMXJP2/bundle.json","state_url":"https://pith.science/pith/KQL46MIXFY45TJ6NDM3AWMXJP2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KQL46MIXFY45TJ6NDM3AWMXJP2/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":"2026-08-21T05:35:15Z","links":{"resolver":"https://pith.science/pith/KQL46MIXFY45TJ6NDM3AWMXJP2","bundle":"https://pith.science/pith/KQL46MIXFY45TJ6NDM3AWMXJP2/bundle.json","state":"https://pith.science/pith/KQL46MIXFY45TJ6NDM3AWMXJP2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KQL46MIXFY45TJ6NDM3AWMXJP2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:KQL46MIXFY45TJ6NDM3AWMXJP2","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":"9eb867613c2090191c6d4ca6475836bee6e108636c8ba14c019f069a3e0c21b1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-10T14:02:40Z","title_canon_sha256":"c9ff6550d603192e2dc0264037d97e776cbf7b34923241ca20e91bcd51b83db9"},"schema_version":"1.0","source":{"id":"2005.04671","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.04671","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"arxiv_version","alias_value":"2005.04671v2","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.04671","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"pith_short_12","alias_value":"KQL46MIXFY45","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"pith_short_16","alias_value":"KQL46MIXFY45TJ6N","created_at":"2026-07-05T01:16:15Z"},{"alias_kind":"pith_short_8","alias_value":"KQL46MIX","created_at":"2026-07-05T01:16:15Z"}],"graph_snapshots":[{"event_id":"sha256:bf2d5c92b41bdccd991a7503d273bc706dc4c67ed12c29024fda3b64a5df90f0","target":"graph","created_at":"2026-07-05T01:16:15Z","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/2005.04671/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Two-dimensional singular decomposition (2DSVD) has been widely used for image processing tasks, such as image reconstruction, classification, and clustering. However, traditional 2DSVD algorithm is based on the mean square error (MSE) loss, which is sensitive to outliers. To overcome this problem, we propose a robust 2DSVD framework based on a generalized kernel risk sensitive loss (GKRSL-2DSVD) which is more robust to noise and and outliers. Since the proposed objective function is non-convex, a majorization-minimization algorithm is developed to efficiently solve it with guaranteed convergen","authors_text":"Miaohua Zhang, Yongsheng Gao","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-10T14:02:40Z","title":"A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.04671","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":"sha256:29192e19ae7cd36862b1caf83de8e3a838a75a3c78e4b9cac1ddb75cccb24923","target":"record","created_at":"2026-07-05T01:16:15Z","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":"9eb867613c2090191c6d4ca6475836bee6e108636c8ba14c019f069a3e0c21b1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-05-10T14:02:40Z","title_canon_sha256":"c9ff6550d603192e2dc0264037d97e776cbf7b34923241ca20e91bcd51b83db9"},"schema_version":"1.0","source":{"id":"2005.04671","kind":"arxiv","version":2}},"canonical_sha256":"5417cf31172e39d9a7cd1b360b32e97e8bf40bbd9ae601fe3f40530fcfd55dbe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5417cf31172e39d9a7cd1b360b32e97e8bf40bbd9ae601fe3f40530fcfd55dbe","first_computed_at":"2026-07-05T01:16:15.014075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:16:15.014075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l7CXgRXBcmQTIz29GGsYANn8axbnMif6+QOEsdtzoYZk6/YfTiFTz+RPL5qVM36jDS/NKhpdMimV6yQAR79eCw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:16:15.014646Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.04671","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:29192e19ae7cd36862b1caf83de8e3a838a75a3c78e4b9cac1ddb75cccb24923","sha256:bf2d5c92b41bdccd991a7503d273bc706dc4c67ed12c29024fda3b64a5df90f0"],"state_sha256":"84a1a7e9c2296d9503ac407d8912a334ca8d6d5d5feb164301c2aa78e7a9f13a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5OoRAcaQGHIrMrBuzcqOCrkFjTqIsrjosHB8+j280tljvpX1Xg2l0LGUXIBwVlrfexWT7UlYfIaDxt7Tt28cAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T05:35:15.811027Z","bundle_sha256":"72c72c25d976f61bf5e80a0ed2e392c9b17e094aa6676878b92ba2b424299fdc"}}