{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:QO6UVI7S4K6GHURNJPV6IAJ6VU","short_pith_number":"pith:QO6UVI7S","canonical_record":{"source":{"id":"2002.11919","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-22T09:50:39Z","cross_cats_sorted":[],"title_canon_sha256":"93b7512f87f9b943e6936a5d63bffc358c32184298a99ac2a7a991ed2a1fe13b","abstract_canon_sha256":"1cd32b858b981d7ba33c7d878b5bf0c7c48c31ce67143ff59452f53d36033acf"},"schema_version":"1.0"},"canonical_sha256":"83bd4aa3f2e2bc63d22d4bebe4013ead1387534952c9ff26de4e9baa271d5ef9","source":{"kind":"arxiv","id":"2002.11919","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.11919","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"arxiv_version","alias_value":"2002.11919v1","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.11919","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"pith_short_12","alias_value":"QO6UVI7S4K6G","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"pith_short_16","alias_value":"QO6UVI7S4K6GHURN","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"pith_short_8","alias_value":"QO6UVI7S","created_at":"2026-07-05T00:44:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:QO6UVI7S4K6GHURNJPV6IAJ6VU","target":"record","payload":{"canonical_record":{"source":{"id":"2002.11919","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-22T09:50:39Z","cross_cats_sorted":[],"title_canon_sha256":"93b7512f87f9b943e6936a5d63bffc358c32184298a99ac2a7a991ed2a1fe13b","abstract_canon_sha256":"1cd32b858b981d7ba33c7d878b5bf0c7c48c31ce67143ff59452f53d36033acf"},"schema_version":"1.0"},"canonical_sha256":"83bd4aa3f2e2bc63d22d4bebe4013ead1387534952c9ff26de4e9baa271d5ef9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:44:10.328833Z","signature_b64":"PtGH+CFLeILdghVoccL4jyk4+5yQ3dhihxggzRHDJr7fbporxnTXVbP783MKpwucTRUjBikuq9uCPgClkbv2CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"83bd4aa3f2e2bc63d22d4bebe4013ead1387534952c9ff26de4e9baa271d5ef9","last_reissued_at":"2026-07-05T00:44:10.328366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:44:10.328366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.11919","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":"2026-07-05T00:44:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nW2Gdp4RvZEroG4fyAY0ifvdVzZ9vYQ7HLIVfgrQZ1pQ4FDs4Keazn0TlLl4qSlyjpIgDBVXVSJ1nmNJ6d5iAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T23:13:11.082645Z"},"content_sha256":"12dc2b993d44e298ed6f33120e59c3d926927e6d7f2835a65cdc942c6b948921","schema_version":"1.0","event_id":"sha256:12dc2b993d44e298ed6f33120e59c3d926927e6d7f2835a65cdc942c6b948921"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:QO6UVI7S4K6GHURNJPV6IAJ6VU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Network Cooperation with Progressive Disambiguation for Partial Label Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Chen Gong, Jian Yang, Jiehui Deng, Yao Yao","submitted_at":"2020-02-22T09:50:39Z","abstract_excerpt":"Partial Label Learning (PLL) aims to train a classifier when each training instance is associated with a set of candidate labels, among which only one is correct but is not accessible during the training phase. The common strategy dealing with such ambiguous labeling information is to disambiguate the candidate label sets. Nonetheless, existing methods ignore the disambiguation difficulty of instances and adopt the single-trend training mechanism. The former would lead to the vulnerability of models to the false positive labels and the latter may arouse error accumulation problem. To remedy th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.11919","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/2002.11919/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":"2026-07-05T00:44:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/kKxPv9O00KxLO+nHbPLVYIbFJuiQkR9CRw/erDgKm4IvqCRIJ61+VmL81FASkDcuTeAyMeUTkK0fA3po78rBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T23:13:11.083398Z"},"content_sha256":"9cfa811f32df174b11a2d227eaff0adc00317321db801353069ea82690f80a6d","schema_version":"1.0","event_id":"sha256:9cfa811f32df174b11a2d227eaff0adc00317321db801353069ea82690f80a6d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU/bundle.json","state_url":"https://pith.science/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU/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":"2026-08-21T23:13:11Z","links":{"resolver":"https://pith.science/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU","bundle":"https://pith.science/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU/bundle.json","state":"https://pith.science/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QO6UVI7S4K6GHURNJPV6IAJ6VU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QO6UVI7S4K6GHURNJPV6IAJ6VU","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":"1cd32b858b981d7ba33c7d878b5bf0c7c48c31ce67143ff59452f53d36033acf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-22T09:50:39Z","title_canon_sha256":"93b7512f87f9b943e6936a5d63bffc358c32184298a99ac2a7a991ed2a1fe13b"},"schema_version":"1.0","source":{"id":"2002.11919","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.11919","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"arxiv_version","alias_value":"2002.11919v1","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.11919","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"pith_short_12","alias_value":"QO6UVI7S4K6G","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"pith_short_16","alias_value":"QO6UVI7S4K6GHURN","created_at":"2026-07-05T00:44:10Z"},{"alias_kind":"pith_short_8","alias_value":"QO6UVI7S","created_at":"2026-07-05T00:44:10Z"}],"graph_snapshots":[{"event_id":"sha256:9cfa811f32df174b11a2d227eaff0adc00317321db801353069ea82690f80a6d","target":"graph","created_at":"2026-07-05T00:44:10Z","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/2002.11919/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Partial Label Learning (PLL) aims to train a classifier when each training instance is associated with a set of candidate labels, among which only one is correct but is not accessible during the training phase. The common strategy dealing with such ambiguous labeling information is to disambiguate the candidate label sets. Nonetheless, existing methods ignore the disambiguation difficulty of instances and adopt the single-trend training mechanism. The former would lead to the vulnerability of models to the false positive labels and the latter may arouse error accumulation problem. To remedy th","authors_text":"Chen Gong, Jian Yang, Jiehui Deng, Yao Yao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-22T09:50:39Z","title":"Network Cooperation with Progressive Disambiguation for Partial Label Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.11919","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":"sha256:12dc2b993d44e298ed6f33120e59c3d926927e6d7f2835a65cdc942c6b948921","target":"record","created_at":"2026-07-05T00:44:10Z","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":"1cd32b858b981d7ba33c7d878b5bf0c7c48c31ce67143ff59452f53d36033acf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-02-22T09:50:39Z","title_canon_sha256":"93b7512f87f9b943e6936a5d63bffc358c32184298a99ac2a7a991ed2a1fe13b"},"schema_version":"1.0","source":{"id":"2002.11919","kind":"arxiv","version":1}},"canonical_sha256":"83bd4aa3f2e2bc63d22d4bebe4013ead1387534952c9ff26de4e9baa271d5ef9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83bd4aa3f2e2bc63d22d4bebe4013ead1387534952c9ff26de4e9baa271d5ef9","first_computed_at":"2026-07-05T00:44:10.328366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:44:10.328366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PtGH+CFLeILdghVoccL4jyk4+5yQ3dhihxggzRHDJr7fbporxnTXVbP783MKpwucTRUjBikuq9uCPgClkbv2CA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:44:10.328833Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.11919","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:12dc2b993d44e298ed6f33120e59c3d926927e6d7f2835a65cdc942c6b948921","sha256:9cfa811f32df174b11a2d227eaff0adc00317321db801353069ea82690f80a6d"],"state_sha256":"0a1379c7d4e14c4559d0ce3700b37e8c4cd9911798e9aa487ff34597da544289"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Yc0thOUipHcRg4TjhSV7YVWYYEGMZcSf8FLfjlZf3yaYcwscAuy2QX27Snn83dbNPRklxL2pkq3O7HS3Nd+Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T23:13:11.087842Z","bundle_sha256":"48b7d6e1ca3761e9b4b1e7c2154fab2645c06024a22f62be9c3c186a520b2900"}}