{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:Y6AUR6MJHTGI46URWDICN562PZ","short_pith_number":"pith:Y6AUR6MJ","canonical_record":{"source":{"id":"2008.10165","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-24T02:35:50Z","cross_cats_sorted":[],"title_canon_sha256":"fa3c9a25eca151d33a77470e377cd705d817177149f5e813aced97c4b0b6896d","abstract_canon_sha256":"3c2ab5c4fa43d926df4983d3e0c84878233166a70cca431fa1b975a732c19c0a"},"schema_version":"1.0"},"canonical_sha256":"c78148f9893ccc8e7a91b0d026f7da7e590e1e3deea39d731a5f931f2a4b5454","source":{"kind":"arxiv","id":"2008.10165","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10165","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10165v1","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10165","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"pith_short_12","alias_value":"Y6AUR6MJHTGI","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"pith_short_16","alias_value":"Y6AUR6MJHTGI46UR","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"pith_short_8","alias_value":"Y6AUR6MJ","created_at":"2026-07-05T01:29:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:Y6AUR6MJHTGI46URWDICN562PZ","target":"record","payload":{"canonical_record":{"source":{"id":"2008.10165","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-24T02:35:50Z","cross_cats_sorted":[],"title_canon_sha256":"fa3c9a25eca151d33a77470e377cd705d817177149f5e813aced97c4b0b6896d","abstract_canon_sha256":"3c2ab5c4fa43d926df4983d3e0c84878233166a70cca431fa1b975a732c19c0a"},"schema_version":"1.0"},"canonical_sha256":"c78148f9893ccc8e7a91b0d026f7da7e590e1e3deea39d731a5f931f2a4b5454","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:29:21.390269Z","signature_b64":"gD3BnB2kb0l79zUlACGVwg/1IGVl6EUmZy8OV+SWrd8HXC5RXeHacejq4IoUdi2Y2ojk+KRrIbMixSFSykDcBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c78148f9893ccc8e7a91b0d026f7da7e590e1e3deea39d731a5f931f2a4b5454","last_reissued_at":"2026-07-05T01:29:21.389881Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:29:21.389881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2008.10165","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":"2026-07-05T01:29:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dKcF3SVpKNMpjLHbNs4rdz+hYscuaLtve//docITrgi7G/cQy3UOAd6phUIpPfNdPuv53t95xfOjFPPseJp/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:26:02.624922Z"},"content_sha256":"c46ee1820b3797f985b5bff0b093dde8f8d0d6f16ad57e9bb9064fc0a3f2ecac","schema_version":"1.0","event_id":"sha256:c46ee1820b3797f985b5bff0b093dde8f8d0d6f16ad57e9bb9064fc0a3f2ecac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:Y6AUR6MJHTGI46URWDICN562PZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuan-Xian Ren, Dao-Qing Dai, Hong Yan, Pengfei Ge","submitted_at":"2020-08-24T02:35:50Z","abstract_excerpt":"Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy between conditional distributions by drawing support from nonlinear kernel functions, thus it has been successfully used for pattern classification. However, CMMD does not work well on complex distributions, especially when the kernel function fails to correctly characterize the difference between intra-class similarity and inter-class similarity. In this paper, a new kernel learning method is proposed to improve the discrimination performance of CMMD. It can be operated with deep network features iteratively and thus deno"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10165","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/2008.10165/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":"2026-07-05T01:29:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+HVhmrARx50sGSj22SH8Rav3Fp63NstBsCWCq4cs8iXbQySKkabjdsBMkC0T1OUCPYtd4M12dG8mspcjCIVGCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:26:02.625288Z"},"content_sha256":"b0d2fae234e2d978ccf439f887d06c8b7f5fbe7f69de9d610f8caebaaa76e26b","schema_version":"1.0","event_id":"sha256:b0d2fae234e2d978ccf439f887d06c8b7f5fbe7f69de9d610f8caebaaa76e26b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y6AUR6MJHTGI46URWDICN562PZ/bundle.json","state_url":"https://pith.science/pith/Y6AUR6MJHTGI46URWDICN562PZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y6AUR6MJHTGI46URWDICN562PZ/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":"2026-07-07T08:26:02Z","links":{"resolver":"https://pith.science/pith/Y6AUR6MJHTGI46URWDICN562PZ","bundle":"https://pith.science/pith/Y6AUR6MJHTGI46URWDICN562PZ/bundle.json","state":"https://pith.science/pith/Y6AUR6MJHTGI46URWDICN562PZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y6AUR6MJHTGI46URWDICN562PZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:Y6AUR6MJHTGI46URWDICN562PZ","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":"3c2ab5c4fa43d926df4983d3e0c84878233166a70cca431fa1b975a732c19c0a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-24T02:35:50Z","title_canon_sha256":"fa3c9a25eca151d33a77470e377cd705d817177149f5e813aced97c4b0b6896d"},"schema_version":"1.0","source":{"id":"2008.10165","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2008.10165","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"arxiv_version","alias_value":"2008.10165v1","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2008.10165","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"pith_short_12","alias_value":"Y6AUR6MJHTGI","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"pith_short_16","alias_value":"Y6AUR6MJHTGI46UR","created_at":"2026-07-05T01:29:21Z"},{"alias_kind":"pith_short_8","alias_value":"Y6AUR6MJ","created_at":"2026-07-05T01:29:21Z"}],"graph_snapshots":[{"event_id":"sha256:b0d2fae234e2d978ccf439f887d06c8b7f5fbe7f69de9d610f8caebaaa76e26b","target":"graph","created_at":"2026-07-05T01:29:21Z","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/2008.10165/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Conditional Maximum Mean Discrepancy (CMMD) can capture the discrepancy between conditional distributions by drawing support from nonlinear kernel functions, thus it has been successfully used for pattern classification. However, CMMD does not work well on complex distributions, especially when the kernel function fails to correctly characterize the difference between intra-class similarity and inter-class similarity. In this paper, a new kernel learning method is proposed to improve the discrimination performance of CMMD. It can be operated with deep network features iteratively and thus deno","authors_text":"Chuan-Xian Ren, Dao-Qing Dai, Hong Yan, Pengfei Ge","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-24T02:35:50Z","title":"Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2008.10165","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:c46ee1820b3797f985b5bff0b093dde8f8d0d6f16ad57e9bb9064fc0a3f2ecac","target":"record","created_at":"2026-07-05T01:29:21Z","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":"3c2ab5c4fa43d926df4983d3e0c84878233166a70cca431fa1b975a732c19c0a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-08-24T02:35:50Z","title_canon_sha256":"fa3c9a25eca151d33a77470e377cd705d817177149f5e813aced97c4b0b6896d"},"schema_version":"1.0","source":{"id":"2008.10165","kind":"arxiv","version":1}},"canonical_sha256":"c78148f9893ccc8e7a91b0d026f7da7e590e1e3deea39d731a5f931f2a4b5454","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c78148f9893ccc8e7a91b0d026f7da7e590e1e3deea39d731a5f931f2a4b5454","first_computed_at":"2026-07-05T01:29:21.389881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:29:21.389881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gD3BnB2kb0l79zUlACGVwg/1IGVl6EUmZy8OV+SWrd8HXC5RXeHacejq4IoUdi2Y2ojk+KRrIbMixSFSykDcBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:29:21.390269Z","signed_message":"canonical_sha256_bytes"},"source_id":"2008.10165","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c46ee1820b3797f985b5bff0b093dde8f8d0d6f16ad57e9bb9064fc0a3f2ecac","sha256:b0d2fae234e2d978ccf439f887d06c8b7f5fbe7f69de9d610f8caebaaa76e26b"],"state_sha256":"447d4a4c532677e3f69b26bf27dc93e5f8bb088125641a178d6cac19d1aeec8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T0A7c+0ThkcX8L8VDTeqGeEohEQ/ylRwMx7V3taJQx9RvlxxfWxTYXJtnlLVCUgjO+cE6FY4N7mPzcRvVpPcBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:26:02.627199Z","bundle_sha256":"3ab790fab14a46dbb55f8ba23a9ed467dc9fac8b1b7b4482776dc66f18a5f1b4"}}