{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:RPTBJTR755FBUIAGZ2CMI7CCS4","short_pith_number":"pith:RPTBJTR7","canonical_record":{"source":{"id":"2308.08963","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T13:07:09Z","cross_cats_sorted":[],"title_canon_sha256":"a17eb581609593911aaa6a70326b8aeb2392dcfde71dd28d665d5ff985cc74ce","abstract_canon_sha256":"876b1bd18c97990acc396d38c0b667451a2ffc013b9346e9f79debdde83c9ed2"},"schema_version":"1.0"},"canonical_sha256":"8be614ce3fef4a1a2006ce84c47c42970d0c1278e0d3de45e64112886ac99d47","source":{"kind":"arxiv","id":"2308.08963","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.08963","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"arxiv_version","alias_value":"2308.08963v3","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.08963","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"pith_short_12","alias_value":"RPTBJTR755FB","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"pith_short_16","alias_value":"RPTBJTR755FBUIAG","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"pith_short_8","alias_value":"RPTBJTR7","created_at":"2026-07-05T07:02:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:RPTBJTR755FBUIAGZ2CMI7CCS4","target":"record","payload":{"canonical_record":{"source":{"id":"2308.08963","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T13:07:09Z","cross_cats_sorted":[],"title_canon_sha256":"a17eb581609593911aaa6a70326b8aeb2392dcfde71dd28d665d5ff985cc74ce","abstract_canon_sha256":"876b1bd18c97990acc396d38c0b667451a2ffc013b9346e9f79debdde83c9ed2"},"schema_version":"1.0"},"canonical_sha256":"8be614ce3fef4a1a2006ce84c47c42970d0c1278e0d3de45e64112886ac99d47","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:02:53.095571Z","signature_b64":"XUUIy+lFbRgYFYkzQjFMXfiwxSo1STS8feRDGCn4tBYkYVjWGhpDK6d0l3TZO4L+aLn230sZUDCn7kfxEpnbDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8be614ce3fef4a1a2006ce84c47c42970d0c1278e0d3de45e64112886ac99d47","last_reissued_at":"2026-07-05T07:02:53.095083Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:02:53.095083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.08963","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:02:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hCZtdGVoaK45jwpq+P8uepdsUoXYQvoUQk3j4gxPf5labwrHUMq6hm1Zhp9e7A7TxXL+iyf6WoOPS87U+sJMCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:01:02.332284Z"},"content_sha256":"9924141572ed618eff7edf52c5406ee0ffb8adc8fd22083838d816b982e9cd93","schema_version":"1.0","event_id":"sha256:9924141572ed618eff7edf52c5406ee0ffb8adc8fd22083838d816b982e9cd93"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:RPTBJTR755FBUIAGZ2CMI7CCS4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CONVERT:Contrastive Graph Clustering with Reliable Augmentation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Cheng Tan, En Zhu, Jun Xia, Ke Liang, Sihang Zhou, Siwei Wang, Stan Z. Li, Xihong Yang, Xinwang Liu, Yue Liu","submitted_at":"2023-08-17T13:07:09Z","abstract_excerpt":"Contrastive graph node clustering via learnable data augmentation is a hot research spot in the field of unsupervised graph learning. The existing methods learn the sampling distribution of a pre-defined augmentation to generate data-driven augmentations automatically. Although promising clustering performance has been achieved, we observe that these strategies still rely on pre-defined augmentations, the semantics of the augmented graph can easily drift. The reliability of the augmented view semantics for contrastive learning can not be guaranteed, thus limiting the model performance. To addr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.08963","kind":"arxiv","version":3},"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/2308.08963/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":"2026-07-05T07:02:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EA0VCGzZWYCKD10DIAelHJZDjGc11JnASka2TRd0BMNbYmpouix9CB81VLNzbCVff0x73rIu7SLcyUYO32ulDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:01:02.332664Z"},"content_sha256":"6ef980e770bbdffd88f63734824087d2b510a703c6f91f8621da4cf0c422af18","schema_version":"1.0","event_id":"sha256:6ef980e770bbdffd88f63734824087d2b510a703c6f91f8621da4cf0c422af18"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RPTBJTR755FBUIAGZ2CMI7CCS4/bundle.json","state_url":"https://pith.science/pith/RPTBJTR755FBUIAGZ2CMI7CCS4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RPTBJTR755FBUIAGZ2CMI7CCS4/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":"2026-07-07T08:01:02Z","links":{"resolver":"https://pith.science/pith/RPTBJTR755FBUIAGZ2CMI7CCS4","bundle":"https://pith.science/pith/RPTBJTR755FBUIAGZ2CMI7CCS4/bundle.json","state":"https://pith.science/pith/RPTBJTR755FBUIAGZ2CMI7CCS4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RPTBJTR755FBUIAGZ2CMI7CCS4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:RPTBJTR755FBUIAGZ2CMI7CCS4","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":"876b1bd18c97990acc396d38c0b667451a2ffc013b9346e9f79debdde83c9ed2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T13:07:09Z","title_canon_sha256":"a17eb581609593911aaa6a70326b8aeb2392dcfde71dd28d665d5ff985cc74ce"},"schema_version":"1.0","source":{"id":"2308.08963","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.08963","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"arxiv_version","alias_value":"2308.08963v3","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.08963","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"pith_short_12","alias_value":"RPTBJTR755FB","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"pith_short_16","alias_value":"RPTBJTR755FBUIAG","created_at":"2026-07-05T07:02:53Z"},{"alias_kind":"pith_short_8","alias_value":"RPTBJTR7","created_at":"2026-07-05T07:02:53Z"}],"graph_snapshots":[{"event_id":"sha256:6ef980e770bbdffd88f63734824087d2b510a703c6f91f8621da4cf0c422af18","target":"graph","created_at":"2026-07-05T07:02:53Z","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/2308.08963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive graph node clustering via learnable data augmentation is a hot research spot in the field of unsupervised graph learning. The existing methods learn the sampling distribution of a pre-defined augmentation to generate data-driven augmentations automatically. Although promising clustering performance has been achieved, we observe that these strategies still rely on pre-defined augmentations, the semantics of the augmented graph can easily drift. The reliability of the augmented view semantics for contrastive learning can not be guaranteed, thus limiting the model performance. To addr","authors_text":"Cheng Tan, En Zhu, Jun Xia, Ke Liang, Sihang Zhou, Siwei Wang, Stan Z. Li, Xihong Yang, Xinwang Liu, Yue Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T13:07:09Z","title":"CONVERT:Contrastive Graph Clustering with Reliable Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.08963","kind":"arxiv","version":3},"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":"sha256:9924141572ed618eff7edf52c5406ee0ffb8adc8fd22083838d816b982e9cd93","target":"record","created_at":"2026-07-05T07:02:53Z","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":"876b1bd18c97990acc396d38c0b667451a2ffc013b9346e9f79debdde83c9ed2","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2023-08-17T13:07:09Z","title_canon_sha256":"a17eb581609593911aaa6a70326b8aeb2392dcfde71dd28d665d5ff985cc74ce"},"schema_version":"1.0","source":{"id":"2308.08963","kind":"arxiv","version":3}},"canonical_sha256":"8be614ce3fef4a1a2006ce84c47c42970d0c1278e0d3de45e64112886ac99d47","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8be614ce3fef4a1a2006ce84c47c42970d0c1278e0d3de45e64112886ac99d47","first_computed_at":"2026-07-05T07:02:53.095083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:02:53.095083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XUUIy+lFbRgYFYkzQjFMXfiwxSo1STS8feRDGCn4tBYkYVjWGhpDK6d0l3TZO4L+aLn230sZUDCn7kfxEpnbDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:02:53.095571Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.08963","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9924141572ed618eff7edf52c5406ee0ffb8adc8fd22083838d816b982e9cd93","sha256:6ef980e770bbdffd88f63734824087d2b510a703c6f91f8621da4cf0c422af18"],"state_sha256":"6df40731f0c9d165370c4b401a0bd64fd7c84a5656a7191d614bec1004ea07fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Psafz/+SDWrOHwFgNCvNatCDuI+iHPCVX+V6ud2s9m+ht8LWq1DSHPbB9wfHY9GSpkXARFncKcQ30G3LVw/YAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:01:02.334585Z","bundle_sha256":"d4069b4e673ead1d8d5cf31812203c1abcd5478b6212b2ba57f08150778a25ed"}}