{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2RQQZBDM6SKUQCTMI6LYHBCOXS","short_pith_number":"pith:2RQQZBDM","canonical_record":{"source":{"id":"2412.00742","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-01T09:33:20Z","cross_cats_sorted":[],"title_canon_sha256":"8acc5875a44fc4721050134e522baa972d4606069cb1eb2e8efd21dac730cb16","abstract_canon_sha256":"3300301a93f2a4787abd0d554bba0d720953763a9d4249e1d817b7f47c18b07e"},"schema_version":"1.0"},"canonical_sha256":"d4610c846cf495480a6c479783844ebc88ea8e5feefa1b248d82a043ff34703f","source":{"kind":"arxiv","id":"2412.00742","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00742","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00742v1","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00742","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"pith_short_12","alias_value":"2RQQZBDM6SKU","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"pith_short_16","alias_value":"2RQQZBDM6SKUQCTM","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"pith_short_8","alias_value":"2RQQZBDM","created_at":"2026-07-05T09:42:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2RQQZBDM6SKUQCTMI6LYHBCOXS","target":"record","payload":{"canonical_record":{"source":{"id":"2412.00742","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-01T09:33:20Z","cross_cats_sorted":[],"title_canon_sha256":"8acc5875a44fc4721050134e522baa972d4606069cb1eb2e8efd21dac730cb16","abstract_canon_sha256":"3300301a93f2a4787abd0d554bba0d720953763a9d4249e1d817b7f47c18b07e"},"schema_version":"1.0"},"canonical_sha256":"d4610c846cf495480a6c479783844ebc88ea8e5feefa1b248d82a043ff34703f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:42:46.818380Z","signature_b64":"HyPvRy94XBpCCbPeRYVPsYlSYCB8Ej7Lrt0c3UDrpbQZJMfj22kBO/VSAAYSOaTBR4oHX5KKC96+F825k0ecBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d4610c846cf495480a6c479783844ebc88ea8e5feefa1b248d82a043ff34703f","last_reissued_at":"2026-07-05T09:42:46.817881Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:42:46.817881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.00742","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":"2026-07-05T09:42:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/szs8rF2etqNLI0J1KIgTp6/xNh+hV3IN20KX9N+/7rGEnHotUk55dJ1LJ4Qeya3eS+FGo3Vm0z5HrtuygamAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:41:50.635649Z"},"content_sha256":"baea79e9822a0e3bb071dd2b2a5c2b8228793e2950887b29d2735026f43de5de","schema_version":"1.0","event_id":"sha256:baea79e9822a0e3bb071dd2b2a5c2b8228793e2950887b29d2735026f43de5de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2RQQZBDM6SKUQCTMI6LYHBCOXS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Runpeng Yu, Xiaofeng Zhu, Xinchao Wang, Yujie Mo, Zhihe Lu","submitted_at":"2024-12-01T09:33:20Z","abstract_excerpt":"Self-supervised heterogeneous graph learning (SHGL) has shown promising potential in diverse scenarios. However, while existing SHGL methods share a similar essential with clustering approaches, they encounter two significant limitations: (i) noise in graph structures is often introduced during the message-passing process to weaken node representations, and (ii) cluster-level information may be inadequately captured and leveraged, diminishing the performance in downstream tasks. In this paper, we address these limitations by theoretically revisiting SHGL from the spectral clustering perspectiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00742","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/2412.00742/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":"2026-07-05T09:42:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ao/FCWZ/Yp4GZmebKKEmUW3UeHFoRLKRMFXFQEqcMGgmHmgUAA/XfdoYRZFeTNnYL1TrH1/cuPwKP6EzKhPLCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:41:50.636142Z"},"content_sha256":"5fd5978287b2d1a3c219885aae55a2498187eed36bb26a79e14400083d4ac56e","schema_version":"1.0","event_id":"sha256:5fd5978287b2d1a3c219885aae55a2498187eed36bb26a79e14400083d4ac56e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS/bundle.json","state_url":"https://pith.science/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS/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":"2026-08-19T05:41:50Z","links":{"resolver":"https://pith.science/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS","bundle":"https://pith.science/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS/bundle.json","state":"https://pith.science/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2RQQZBDM6SKUQCTMI6LYHBCOXS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2RQQZBDM6SKUQCTMI6LYHBCOXS","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":"3300301a93f2a4787abd0d554bba0d720953763a9d4249e1d817b7f47c18b07e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-01T09:33:20Z","title_canon_sha256":"8acc5875a44fc4721050134e522baa972d4606069cb1eb2e8efd21dac730cb16"},"schema_version":"1.0","source":{"id":"2412.00742","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.00742","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"arxiv_version","alias_value":"2412.00742v1","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.00742","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"pith_short_12","alias_value":"2RQQZBDM6SKU","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"pith_short_16","alias_value":"2RQQZBDM6SKUQCTM","created_at":"2026-07-05T09:42:46Z"},{"alias_kind":"pith_short_8","alias_value":"2RQQZBDM","created_at":"2026-07-05T09:42:46Z"}],"graph_snapshots":[{"event_id":"sha256:5fd5978287b2d1a3c219885aae55a2498187eed36bb26a79e14400083d4ac56e","target":"graph","created_at":"2026-07-05T09:42:46Z","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/2412.00742/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised heterogeneous graph learning (SHGL) has shown promising potential in diverse scenarios. However, while existing SHGL methods share a similar essential with clustering approaches, they encounter two significant limitations: (i) noise in graph structures is often introduced during the message-passing process to weaken node representations, and (ii) cluster-level information may be inadequately captured and leveraged, diminishing the performance in downstream tasks. In this paper, we address these limitations by theoretically revisiting SHGL from the spectral clustering perspectiv","authors_text":"Runpeng Yu, Xiaofeng Zhu, Xinchao Wang, Yujie Mo, Zhihe Lu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-01T09:33:20Z","title":"Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.00742","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:baea79e9822a0e3bb071dd2b2a5c2b8228793e2950887b29d2735026f43de5de","target":"record","created_at":"2026-07-05T09:42:46Z","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":"3300301a93f2a4787abd0d554bba0d720953763a9d4249e1d817b7f47c18b07e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-12-01T09:33:20Z","title_canon_sha256":"8acc5875a44fc4721050134e522baa972d4606069cb1eb2e8efd21dac730cb16"},"schema_version":"1.0","source":{"id":"2412.00742","kind":"arxiv","version":1}},"canonical_sha256":"d4610c846cf495480a6c479783844ebc88ea8e5feefa1b248d82a043ff34703f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4610c846cf495480a6c479783844ebc88ea8e5feefa1b248d82a043ff34703f","first_computed_at":"2026-07-05T09:42:46.817881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:42:46.817881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HyPvRy94XBpCCbPeRYVPsYlSYCB8Ej7Lrt0c3UDrpbQZJMfj22kBO/VSAAYSOaTBR4oHX5KKC96+F825k0ecBg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:42:46.818380Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.00742","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:baea79e9822a0e3bb071dd2b2a5c2b8228793e2950887b29d2735026f43de5de","sha256:5fd5978287b2d1a3c219885aae55a2498187eed36bb26a79e14400083d4ac56e"],"state_sha256":"c7b3f2e94965e6b1dae0ad34ee542b282bb28d42a49c9448c86a05f3aae4c8fb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AC8wfKKXqe6tiYd32Z5dn6CLM2kn+AwDWnoky+0MinwZnVBd3PZ3rYQWBVoVgfhRlAI78TAmc+ZQsamubHBFAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T05:41:50.639740Z","bundle_sha256":"441a50393c76de2e3ced95b26e8630c1cd8b1b622c612b43fa2e3e0a43497d89"}}