{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SE5LM3C6AZSG2JT3WSX243XHGS","short_pith_number":"pith:SE5LM3C6","canonical_record":{"source":{"id":"2505.23228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-29T08:28:02Z","cross_cats_sorted":[],"title_canon_sha256":"49da2e47d04d115229c8c35fca44aeea0feffff957cd7a177d860cac757299b4","abstract_canon_sha256":"66aeb23b77cc808d1a794c45459e55411e2a350a0136d510e2b530f7ffcce373"},"schema_version":"1.0"},"canonical_sha256":"913ab66c5e06646d267bb4afae6ee734b53d02afe9fa1423d35b249272cdb91f","source":{"kind":"arxiv","id":"2505.23228","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23228","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23228v1","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23228","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"pith_short_12","alias_value":"SE5LM3C6AZSG","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"pith_short_16","alias_value":"SE5LM3C6AZSG2JT3","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"pith_short_8","alias_value":"SE5LM3C6","created_at":"2026-07-05T11:11:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SE5LM3C6AZSG2JT3WSX243XHGS","target":"record","payload":{"canonical_record":{"source":{"id":"2505.23228","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-29T08:28:02Z","cross_cats_sorted":[],"title_canon_sha256":"49da2e47d04d115229c8c35fca44aeea0feffff957cd7a177d860cac757299b4","abstract_canon_sha256":"66aeb23b77cc808d1a794c45459e55411e2a350a0136d510e2b530f7ffcce373"},"schema_version":"1.0"},"canonical_sha256":"913ab66c5e06646d267bb4afae6ee734b53d02afe9fa1423d35b249272cdb91f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:11:57.973272Z","signature_b64":"ymMK4efpExEQa5MOJLyaOwrY431tKGAbij5A6Jl9KjhBWzjCq3yZwO+rBP3ER7ndtCcp8eIGd1KPCz7HKDM3DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"913ab66c5e06646d267bb4afae6ee734b53d02afe9fa1423d35b249272cdb91f","last_reissued_at":"2026-07-05T11:11:57.972774Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:11:57.972774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.23228","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":"2026-07-05T11:11:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LgRSMgOTzX7C1+Tbmu2CzDVuXnylQJRpGT9cbe8b56S5KhBptoPCu5CTELNeZWf/bKAVmg78OTuL+m46JBfVBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:44.811713Z"},"content_sha256":"21ee2a2a988f6aaed806c054761417b48cc8a1cc8cf35c67d9904642b1738dc9","schema_version":"1.0","event_id":"sha256:21ee2a2a988f6aaed806c054761417b48cc8a1cc8cf35c67d9904642b1738dc9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SE5LM3C6AZSG2JT3WSX243XHGS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hanlin Pan, Jun Gao, Kunpeng Liu, Qingqi Han, Wanfu Gao","submitted_at":"2025-05-29T08:28:02Z","abstract_excerpt":"The rapid growth in feature dimension may introduce implicit associations between features and labels in multi-label datasets, making the relationships between features and labels increasingly complex. Moreover, existing methods often adopt low-dimensional linear decomposition to explore the associations between features and labels. However, linear decomposition struggles to capture complex nonlinear associations and may lead to misalignment between the feature space and the label space. To address these two critical challenges, we propose innovative solutions. First, we design a random walk g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23228","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/2505.23228/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":"2026-07-05T11:11:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cv8b/IAjRgaB+o1v/8Ddi/4H7BbT9lXVKFrqERAv8Zma1shsmjpFCP0ju96ZaiIy/POxSbP1ePoVF9i/FfyPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:35:44.812234Z"},"content_sha256":"c26cae1d3df4d0db87111f961b08f4b152ecffdd9d1744326dba292d7c91975e","schema_version":"1.0","event_id":"sha256:c26cae1d3df4d0db87111f961b08f4b152ecffdd9d1744326dba292d7c91975e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SE5LM3C6AZSG2JT3WSX243XHGS/bundle.json","state_url":"https://pith.science/pith/SE5LM3C6AZSG2JT3WSX243XHGS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SE5LM3C6AZSG2JT3WSX243XHGS/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":"2026-08-07T23:35:44Z","links":{"resolver":"https://pith.science/pith/SE5LM3C6AZSG2JT3WSX243XHGS","bundle":"https://pith.science/pith/SE5LM3C6AZSG2JT3WSX243XHGS/bundle.json","state":"https://pith.science/pith/SE5LM3C6AZSG2JT3WSX243XHGS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SE5LM3C6AZSG2JT3WSX243XHGS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SE5LM3C6AZSG2JT3WSX243XHGS","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":"66aeb23b77cc808d1a794c45459e55411e2a350a0136d510e2b530f7ffcce373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-29T08:28:02Z","title_canon_sha256":"49da2e47d04d115229c8c35fca44aeea0feffff957cd7a177d860cac757299b4"},"schema_version":"1.0","source":{"id":"2505.23228","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.23228","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"arxiv_version","alias_value":"2505.23228v1","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.23228","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"pith_short_12","alias_value":"SE5LM3C6AZSG","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"pith_short_16","alias_value":"SE5LM3C6AZSG2JT3","created_at":"2026-07-05T11:11:57Z"},{"alias_kind":"pith_short_8","alias_value":"SE5LM3C6","created_at":"2026-07-05T11:11:57Z"}],"graph_snapshots":[{"event_id":"sha256:c26cae1d3df4d0db87111f961b08f4b152ecffdd9d1744326dba292d7c91975e","target":"graph","created_at":"2026-07-05T11:11:57Z","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/2505.23228/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid growth in feature dimension may introduce implicit associations between features and labels in multi-label datasets, making the relationships between features and labels increasingly complex. Moreover, existing methods often adopt low-dimensional linear decomposition to explore the associations between features and labels. However, linear decomposition struggles to capture complex nonlinear associations and may lead to misalignment between the feature space and the label space. To address these two critical challenges, we propose innovative solutions. First, we design a random walk g","authors_text":"Hanlin Pan, Jun Gao, Kunpeng Liu, Qingqi Han, Wanfu Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-29T08:28:02Z","title":"Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.23228","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":"sha256:21ee2a2a988f6aaed806c054761417b48cc8a1cc8cf35c67d9904642b1738dc9","target":"record","created_at":"2026-07-05T11:11:57Z","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":"66aeb23b77cc808d1a794c45459e55411e2a350a0136d510e2b530f7ffcce373","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-29T08:28:02Z","title_canon_sha256":"49da2e47d04d115229c8c35fca44aeea0feffff957cd7a177d860cac757299b4"},"schema_version":"1.0","source":{"id":"2505.23228","kind":"arxiv","version":1}},"canonical_sha256":"913ab66c5e06646d267bb4afae6ee734b53d02afe9fa1423d35b249272cdb91f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"913ab66c5e06646d267bb4afae6ee734b53d02afe9fa1423d35b249272cdb91f","first_computed_at":"2026-07-05T11:11:57.972774Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:11:57.972774Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ymMK4efpExEQa5MOJLyaOwrY431tKGAbij5A6Jl9KjhBWzjCq3yZwO+rBP3ER7ndtCcp8eIGd1KPCz7HKDM3DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:11:57.973272Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.23228","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:21ee2a2a988f6aaed806c054761417b48cc8a1cc8cf35c67d9904642b1738dc9","sha256:c26cae1d3df4d0db87111f961b08f4b152ecffdd9d1744326dba292d7c91975e"],"state_sha256":"1e1e4650d560c5a3dcea501dbf565d48afba42363f73a10dd5641b0befd389b6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+F9iqYI7OwtAA9pzVNZU5AcrBI3r6Dqea4hAQiGlgB7faqnsSUA+oWi9HmFX3Uvn9fy9h+REldmOASwsURnADw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:35:44.817140Z","bundle_sha256":"67468b16ce2bfc80c8092e6644962ec7a2189a3452da1b378e3285892eb2da56"}}