{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:IERSPOHJ6PQJBQF5YVMA2ULTHS","short_pith_number":"pith:IERSPOHJ","canonical_record":{"source":{"id":"2408.12071","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T02:18:47Z","cross_cats_sorted":[],"title_canon_sha256":"5f5d8a77f8fc400d6f5955db5af553f457224838b46a223f9c559d3c5c6e8ebd","abstract_canon_sha256":"b697e1a6310b6ef578456e1d608ac612191445275902f9cc5825667f7e0bc400"},"schema_version":"1.0"},"canonical_sha256":"412327b8e9f3e090c0bdc5580d51733c8b345580f13fa6b5d61210c25d11ab28","source":{"kind":"arxiv","id":"2408.12071","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12071","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12071v1","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12071","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"IERSPOHJ6PQJ","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"IERSPOHJ6PQJBQF5","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"IERSPOHJ","created_at":"2026-07-05T08:58:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:IERSPOHJ6PQJBQF5YVMA2ULTHS","target":"record","payload":{"canonical_record":{"source":{"id":"2408.12071","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T02:18:47Z","cross_cats_sorted":[],"title_canon_sha256":"5f5d8a77f8fc400d6f5955db5af553f457224838b46a223f9c559d3c5c6e8ebd","abstract_canon_sha256":"b697e1a6310b6ef578456e1d608ac612191445275902f9cc5825667f7e0bc400"},"schema_version":"1.0"},"canonical_sha256":"412327b8e9f3e090c0bdc5580d51733c8b345580f13fa6b5d61210c25d11ab28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:58:03.419767Z","signature_b64":"BvDuVJ1LM8hcxE2J3ZdIed8xzjUY+o95YA7oDTZ7iB64do086FpgkNjsA3KXhf4nj7T/VMSkLxBtxylk06IXCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"412327b8e9f3e090c0bdc5580d51733c8b345580f13fa6b5d61210c25d11ab28","last_reissued_at":"2026-07-05T08:58:03.419347Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:58:03.419347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.12071","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":"2026-07-05T08:58:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lddTFnPDv8dwC56QGZaapG9sacm7d/DxIjtYbG9ZJ01ccdWQYPwAD5aLnM3qZFOd6UlaoVH5KXUEJN/mQJ/sAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:52:13.253400Z"},"content_sha256":"1164ef4ab5e5fdd37f7dcf74d0af6b226c75fd0c9cfb5b1526e8c898fd335f7f","schema_version":"1.0","event_id":"sha256:1164ef4ab5e5fdd37f7dcf74d0af6b226c75fd0c9cfb5b1526e8c898fd335f7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:IERSPOHJ6PQJBQF5YVMA2ULTHS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bocheng Wang, Chusheng Zeng, Jinghui Yuan, Mulin Chen, Rong Wang","submitted_at":"2024-08-22T02:18:47Z","abstract_excerpt":"Recent advances in unsupervised deep graph clustering have been significantly promoted by contrastive learning. Despite the strides, most graph contrastive learning models face challenges: 1) graph augmentation is used to improve learning diversity, but commonly used random augmentation methods may destroy inherent semantics and cause noise; 2) the fixed positive and negative sample selection strategy is limited to deal with complex real data, thereby impeding the model's capability to capture fine-grained patterns and relationships. To reduce these problems, we propose the Clustering-guided C"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12071","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/2408.12071/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":"2026-07-05T08:58:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fLIlNQYv0bZ/e6rnx/NJ2RgQuVNg15Kj6fqcRv+e+dPd9M4rqcKPr5h4+fXw2FNwH0a+HZmOa/C1MNQpjT9cCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:52:13.253968Z"},"content_sha256":"de7ad167cfb538a82b508475698e698359cc4f4bff3a12a3a41edd353f8e616f","schema_version":"1.0","event_id":"sha256:de7ad167cfb538a82b508475698e698359cc4f4bff3a12a3a41edd353f8e616f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS/bundle.json","state_url":"https://pith.science/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS/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":"2026-08-09T21:52:13Z","links":{"resolver":"https://pith.science/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS","bundle":"https://pith.science/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS/bundle.json","state":"https://pith.science/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IERSPOHJ6PQJBQF5YVMA2ULTHS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:IERSPOHJ6PQJBQF5YVMA2ULTHS","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":"b697e1a6310b6ef578456e1d608ac612191445275902f9cc5825667f7e0bc400","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T02:18:47Z","title_canon_sha256":"5f5d8a77f8fc400d6f5955db5af553f457224838b46a223f9c559d3c5c6e8ebd"},"schema_version":"1.0","source":{"id":"2408.12071","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.12071","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"2408.12071v1","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.12071","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"IERSPOHJ6PQJ","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"IERSPOHJ6PQJBQF5","created_at":"2026-07-05T08:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"IERSPOHJ","created_at":"2026-07-05T08:58:03Z"}],"graph_snapshots":[{"event_id":"sha256:de7ad167cfb538a82b508475698e698359cc4f4bff3a12a3a41edd353f8e616f","target":"graph","created_at":"2026-07-05T08:58:03Z","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/2408.12071/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances in unsupervised deep graph clustering have been significantly promoted by contrastive learning. Despite the strides, most graph contrastive learning models face challenges: 1) graph augmentation is used to improve learning diversity, but commonly used random augmentation methods may destroy inherent semantics and cause noise; 2) the fixed positive and negative sample selection strategy is limited to deal with complex real data, thereby impeding the model's capability to capture fine-grained patterns and relationships. To reduce these problems, we propose the Clustering-guided C","authors_text":"Bocheng Wang, Chusheng Zeng, Jinghui Yuan, Mulin Chen, Rong Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T02:18:47Z","title":"Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.12071","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":"sha256:1164ef4ab5e5fdd37f7dcf74d0af6b226c75fd0c9cfb5b1526e8c898fd335f7f","target":"record","created_at":"2026-07-05T08:58:03Z","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":"b697e1a6310b6ef578456e1d608ac612191445275902f9cc5825667f7e0bc400","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-08-22T02:18:47Z","title_canon_sha256":"5f5d8a77f8fc400d6f5955db5af553f457224838b46a223f9c559d3c5c6e8ebd"},"schema_version":"1.0","source":{"id":"2408.12071","kind":"arxiv","version":1}},"canonical_sha256":"412327b8e9f3e090c0bdc5580d51733c8b345580f13fa6b5d61210c25d11ab28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"412327b8e9f3e090c0bdc5580d51733c8b345580f13fa6b5d61210c25d11ab28","first_computed_at":"2026-07-05T08:58:03.419347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:58:03.419347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BvDuVJ1LM8hcxE2J3ZdIed8xzjUY+o95YA7oDTZ7iB64do086FpgkNjsA3KXhf4nj7T/VMSkLxBtxylk06IXCA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:58:03.419767Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.12071","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1164ef4ab5e5fdd37f7dcf74d0af6b226c75fd0c9cfb5b1526e8c898fd335f7f","sha256:de7ad167cfb538a82b508475698e698359cc4f4bff3a12a3a41edd353f8e616f"],"state_sha256":"c54bb0b2a32abb6ba3f3b7def77d54806365dfd40a5eacd20c8312e5f4554f4d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wl9w4Z+x8ytUGcG06aD03yEycwNCu8GU5n/YxP7oHOpOPXEWIn4cy9Ar4SGhmmxaF9Cp4rYhgQox6IsWYAMICQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:52:13.259781Z","bundle_sha256":"e8d84eba36a48eabd352747a30cbed2b1d703c68300a5173a0a64233545b9e5e"}}