{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:VHEGZA5KPGRJ3LGGSZM5KWPJ5V","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":"8c9619fa4cff2c4fa779f2ba78bc860c9e99bc4a9000cf336d1e45cef49b0d23","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2021-07-27T03:37:50Z","title_canon_sha256":"208e2a1fb9466892492e212880b58c1bcf42c388b717590e341e510fe3fe5165"},"schema_version":"1.0","source":{"id":"2107.12576","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.12576","created_at":"2026-07-05T03:58:16Z"},{"alias_kind":"arxiv_version","alias_value":"2107.12576v2","created_at":"2026-07-05T03:58:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.12576","created_at":"2026-07-05T03:58:16Z"},{"alias_kind":"pith_short_12","alias_value":"VHEGZA5KPGRJ","created_at":"2026-07-05T03:58:16Z"},{"alias_kind":"pith_short_16","alias_value":"VHEGZA5KPGRJ3LGG","created_at":"2026-07-05T03:58:16Z"},{"alias_kind":"pith_short_8","alias_value":"VHEGZA5K","created_at":"2026-07-05T03:58:16Z"}],"graph_snapshots":[{"event_id":"sha256:72bd7bbec19e3260dfc5d6bb0c56bb6f342d44c11c2608d50c27ddf9b4b8bfea","target":"graph","created_at":"2026-07-05T03:58:16Z","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/2107.12576/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Supervised learning, while prevalent for information cascade modeling, often requires abundant labeled data in training, and the trained model is not easy to generalize across tasks and datasets. It often learns task-specific representations, which can easily result in overfitting for downstream tasks. Recently, self-supervised learning is designed to alleviate these two fundamental issues in linguistic and visual tasks. However, its direct applicability for information cascade modeling, especially graph cascade related tasks, remains underexplored. In this work, we present Contrastive Cascade","authors_text":"Fan Zhou, Kunpeng Zhang, Siyuan Liu, Xovee Xu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2021-07-27T03:37:50Z","title":"CCGL: Contrastive Cascade Graph Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.12576","kind":"arxiv","version":2},"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":"sha256:30afd5cec5430d0b0775357474a577f28af73eace29446610b32fa623010abf0","target":"record","created_at":"2026-07-05T03:58:16Z","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":"8c9619fa4cff2c4fa779f2ba78bc860c9e99bc4a9000cf336d1e45cef49b0d23","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SI","submitted_at":"2021-07-27T03:37:50Z","title_canon_sha256":"208e2a1fb9466892492e212880b58c1bcf42c388b717590e341e510fe3fe5165"},"schema_version":"1.0","source":{"id":"2107.12576","kind":"arxiv","version":2}},"canonical_sha256":"a9c86c83aa79a29dacc69659d559e9ed540407ca7090330bc766062e0284204c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9c86c83aa79a29dacc69659d559e9ed540407ca7090330bc766062e0284204c","first_computed_at":"2026-07-05T03:58:16.779841Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:58:16.779841Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bTTDRGeLXpGJr/p5QgePeZRfAn+y4pRowtVmYjI/GEeR1mvGI9tJYIv5l9Eepkbkqne61hPq4vMaukBx9bWABA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:58:16.780306Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.12576","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30afd5cec5430d0b0775357474a577f28af73eace29446610b32fa623010abf0","sha256:72bd7bbec19e3260dfc5d6bb0c56bb6f342d44c11c2608d50c27ddf9b4b8bfea"],"state_sha256":"678f8e606d062b3fd3d99baf5644cf861cb7a3e21f2e7ef23dc1f8eb591d9e92"}