{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:C3SWRGSUSMDCFK4YLPK4OX47IH","short_pith_number":"pith:C3SWRGSU","canonical_record":{"source":{"id":"2412.16457","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-12-21T03:15:38Z","cross_cats_sorted":["cs.DS","cs.LG","math.PR","math.ST","stat.TH"],"title_canon_sha256":"81f2d3dc50725eb9a8c23fee201c2ae3c14c51c0853d101704ff8c1ac0a146b4","abstract_canon_sha256":"94be7c20a27d02026ddb7c6a700a84861bfae0f927558f08b80214dd011b5069"},"schema_version":"1.0"},"canonical_sha256":"16e5689a54930622ab985bd5c75f9f41f5c645b42bccc9eb42fd4cf1c5835d5c","source":{"kind":"arxiv","id":"2412.16457","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16457","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16457v3","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16457","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"pith_short_12","alias_value":"C3SWRGSUSMDC","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"pith_short_16","alias_value":"C3SWRGSUSMDCFK4Y","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"pith_short_8","alias_value":"C3SWRGSU","created_at":"2026-06-09T01:05:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:C3SWRGSUSMDCFK4YLPK4OX47IH","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16457","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-12-21T03:15:38Z","cross_cats_sorted":["cs.DS","cs.LG","math.PR","math.ST","stat.TH"],"title_canon_sha256":"81f2d3dc50725eb9a8c23fee201c2ae3c14c51c0853d101704ff8c1ac0a146b4","abstract_canon_sha256":"94be7c20a27d02026ddb7c6a700a84861bfae0f927558f08b80214dd011b5069"},"schema_version":"1.0"},"canonical_sha256":"16e5689a54930622ab985bd5c75f9f41f5c645b42bccc9eb42fd4cf1c5835d5c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:04.404555Z","signature_b64":"bw7xCOkRbdrqfZ+QJEyWh28L5NdfwC8dpSU32Ztu7MJt7Lhg1soyHhMbsRBqJITlAMijcuMN5AlFo4LvTHVtBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16e5689a54930622ab985bd5c75f9f41f5c645b42bccc9eb42fd4cf1c5835d5c","last_reissued_at":"2026-06-09T01:05:04.404043Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:04.404043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16457","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":"2026-06-09T01:05:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RdgQLAX60Rs2o/E/Sc6oNcDKLvBaKh8ZXR/j05x0iM3eus5Mqxa8VHXWSP8tss3x4qVKTG+OkNQWo0qsJk03AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T00:34:52.795691Z"},"content_sha256":"4672cc46ad68f9eb873ff144e47186b8dbd4c2e004dd0706631f6c769e732121","schema_version":"1.0","event_id":"sha256:4672cc46ad68f9eb873ff144e47186b8dbd4c2e004dd0706631f6c769e732121"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:C3SWRGSUSMDCFK4YLPK4OX47IH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DS","cs.LG","math.PR","math.ST","stat.TH"],"primary_cat":"stat.ML","authors_text":"Zhangsong Li","submitted_at":"2024-12-21T03:15:38Z","abstract_excerpt":"In this paper, we focus on the matching recovery problem between a pair of correlated Gaussian Wigner matrices with a latent vertex correspondence. We are particularly interested in a robust version of this problem such that our observation is a perturbed input $(A+E,B+F)$ where $(A,B)$ is a pair of correlated Gaussian Wigner matrices and $E,F$ are adversarially chosen matrices supported on an unknown $\\epsilon n * \\epsilon n$ principal minor of $A,B$, respectively. We propose an approximate message passing (AMP) type iterative algorithm that succeeds in polynomial time as long as the correlat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16457","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/2412.16457/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":"2026-06-09T01:05:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9WHdxAPQjb7h9+QWpxLdBG4dE6CWEgYAqLhkxR7NEZV7NLzofth6MQyVjnpdPDpXLBNfiuiTBzxuPtvjMcn5Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T00:34:52.796197Z"},"content_sha256":"7aeede3fc361c60a5b7b11345ecdd6d128f37552713e1571f2ec87e8a3190caf","schema_version":"1.0","event_id":"sha256:7aeede3fc361c60a5b7b11345ecdd6d128f37552713e1571f2ec87e8a3190caf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C3SWRGSUSMDCFK4YLPK4OX47IH/bundle.json","state_url":"https://pith.science/pith/C3SWRGSUSMDCFK4YLPK4OX47IH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C3SWRGSUSMDCFK4YLPK4OX47IH/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":"2026-08-13T00:34:52Z","links":{"resolver":"https://pith.science/pith/C3SWRGSUSMDCFK4YLPK4OX47IH","bundle":"https://pith.science/pith/C3SWRGSUSMDCFK4YLPK4OX47IH/bundle.json","state":"https://pith.science/pith/C3SWRGSUSMDCFK4YLPK4OX47IH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C3SWRGSUSMDCFK4YLPK4OX47IH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:C3SWRGSUSMDCFK4YLPK4OX47IH","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":"94be7c20a27d02026ddb7c6a700a84861bfae0f927558f08b80214dd011b5069","cross_cats_sorted":["cs.DS","cs.LG","math.PR","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-12-21T03:15:38Z","title_canon_sha256":"81f2d3dc50725eb9a8c23fee201c2ae3c14c51c0853d101704ff8c1ac0a146b4"},"schema_version":"1.0","source":{"id":"2412.16457","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16457","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16457v3","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16457","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"pith_short_12","alias_value":"C3SWRGSUSMDC","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"pith_short_16","alias_value":"C3SWRGSUSMDCFK4Y","created_at":"2026-06-09T01:05:04Z"},{"alias_kind":"pith_short_8","alias_value":"C3SWRGSU","created_at":"2026-06-09T01:05:04Z"}],"graph_snapshots":[{"event_id":"sha256:7aeede3fc361c60a5b7b11345ecdd6d128f37552713e1571f2ec87e8a3190caf","target":"graph","created_at":"2026-06-09T01:05:04Z","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/2412.16457/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we focus on the matching recovery problem between a pair of correlated Gaussian Wigner matrices with a latent vertex correspondence. We are particularly interested in a robust version of this problem such that our observation is a perturbed input $(A+E,B+F)$ where $(A,B)$ is a pair of correlated Gaussian Wigner matrices and $E,F$ are adversarially chosen matrices supported on an unknown $\\epsilon n * \\epsilon n$ principal minor of $A,B$, respectively. We propose an approximate message passing (AMP) type iterative algorithm that succeeds in polynomial time as long as the correlat","authors_text":"Zhangsong Li","cross_cats":["cs.DS","cs.LG","math.PR","math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-12-21T03:15:38Z","title":"Robust Random Graph Matching in Dense Graphs via an Approximate Message Passing Type Algorithm"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16457","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":"sha256:4672cc46ad68f9eb873ff144e47186b8dbd4c2e004dd0706631f6c769e732121","target":"record","created_at":"2026-06-09T01:05:04Z","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":"94be7c20a27d02026ddb7c6a700a84861bfae0f927558f08b80214dd011b5069","cross_cats_sorted":["cs.DS","cs.LG","math.PR","math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2024-12-21T03:15:38Z","title_canon_sha256":"81f2d3dc50725eb9a8c23fee201c2ae3c14c51c0853d101704ff8c1ac0a146b4"},"schema_version":"1.0","source":{"id":"2412.16457","kind":"arxiv","version":3}},"canonical_sha256":"16e5689a54930622ab985bd5c75f9f41f5c645b42bccc9eb42fd4cf1c5835d5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16e5689a54930622ab985bd5c75f9f41f5c645b42bccc9eb42fd4cf1c5835d5c","first_computed_at":"2026-06-09T01:05:04.404043Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:05:04.404043Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bw7xCOkRbdrqfZ+QJEyWh28L5NdfwC8dpSU32Ztu7MJt7Lhg1soyHhMbsRBqJITlAMijcuMN5AlFo4LvTHVtBA==","signature_status":"signed_v1","signed_at":"2026-06-09T01:05:04.404555Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16457","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4672cc46ad68f9eb873ff144e47186b8dbd4c2e004dd0706631f6c769e732121","sha256:7aeede3fc361c60a5b7b11345ecdd6d128f37552713e1571f2ec87e8a3190caf"],"state_sha256":"eea5d735c2a9eb3381c6223d8c2b563d953d42d3f62e33e9d71bbd1037d14e1e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zw3yqlf7DyjRP2c9ZKpAfj8zRB9zdkOMVohlbT5dEl08JebFKbnui1ai7avTsinwViLibRx5/TN6Qyje7vc+CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T00:34:52.801112Z","bundle_sha256":"2ed7d74e282f50091672388acc427de7cded721fdffb72d43f89617b1ce12ea5"}}