{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:3JMBNJHLUZLTV2FY5HLXZGWWFW","short_pith_number":"pith:3JMBNJHL","canonical_record":{"source":{"id":"2505.16893","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2025-05-22T16:50:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"04b5dfeb20b6a2bc5e3ad197ca628fbcec1fc4cf963d03dcf628cd64b0de2c4c","abstract_canon_sha256":"dbf7c6efab833520f3f13dddeeee1bcc3a9e7df2e108e0b0992c652b5dff8a4a"},"schema_version":"1.0"},"canonical_sha256":"da5816a4eba6573ae8b8e9d77c9ad62da1b2b002abdfad1e73627d49f4010c8e","source":{"kind":"arxiv","id":"2505.16893","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16893","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16893v2","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16893","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"pith_short_12","alias_value":"3JMBNJHLUZLT","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"pith_short_16","alias_value":"3JMBNJHLUZLTV2FY","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"pith_short_8","alias_value":"3JMBNJHL","created_at":"2026-07-05T12:03:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:3JMBNJHLUZLTV2FY5HLXZGWWFW","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16893","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2025-05-22T16:50:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"04b5dfeb20b6a2bc5e3ad197ca628fbcec1fc4cf963d03dcf628cd64b0de2c4c","abstract_canon_sha256":"dbf7c6efab833520f3f13dddeeee1bcc3a9e7df2e108e0b0992c652b5dff8a4a"},"schema_version":"1.0"},"canonical_sha256":"da5816a4eba6573ae8b8e9d77c9ad62da1b2b002abdfad1e73627d49f4010c8e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:48.692911Z","signature_b64":"d8xO9qN46RLgJqnJX+cSXPzsRQO/9ssyEImMzBKNTasfI8ZYt5/t04LM34OI+kW2tye92qH02GiJLozWi9qLBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da5816a4eba6573ae8b8e9d77c9ad62da1b2b002abdfad1e73627d49f4010c8e","last_reissued_at":"2026-07-05T12:03:48.692381Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:48.692381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16893","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:03:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L5nSWOT/bK4o27Rpcw95sDXWzVYCSUutC/e0C0rFmiXKd8FUSas/d5GnQ+RbEYfkUau6hzeR+VM44e+MEf9QDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:07:17.944082Z"},"content_sha256":"46c458e5d76a3d252f39a57d60423f547cd5933e719571c5d7c0f5efcb956970","schema_version":"1.0","event_id":"sha256:46c458e5d76a3d252f39a57d60423f547cd5933e719571c5d7c0f5efcb956970"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:3JMBNJHLUZLTV2FY5HLXZGWWFW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Ichiro Takeuchi, Shuichi Nishino, Teruyuki Katsuoka, Tomohiro Shiraishi","submitted_at":"2025-05-22T16:50:55Z","abstract_excerpt":"Graph Neural Networks (GNNs) have gained prominence for their ability to process graph-structured data across various domains. However, interpreting GNN decisions remains a significant challenge, leading to the adoption of saliency maps for identifying salient subgraphs composed of influential nodes and edges. Despite their utility, the reliability of GNN saliency maps has been questioned, particularly in terms of their robustness to input noise. In this study, we propose a statistical testing framework to rigorously evaluate the significance of saliency maps. Our main contribution lies in add"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16893","kind":"arxiv","version":2},"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/2505.16893/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":"2026-07-05T12:03:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X+G43BqqgAHDD5WuW2oQ3l2cIW2zqdu1nON/nWD3HrB7xKoZY9a0SbNhHIk4+4oKywCn4trz6GOAdADDniq4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T17:07:17.944581Z"},"content_sha256":"450c94e6517227730eb1ff21ab8b0ed4f546efeff27733e876e114f1c65c78c3","schema_version":"1.0","event_id":"sha256:450c94e6517227730eb1ff21ab8b0ed4f546efeff27733e876e114f1c65c78c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW/bundle.json","state_url":"https://pith.science/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW/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":"2026-08-09T17:07:17Z","links":{"resolver":"https://pith.science/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW","bundle":"https://pith.science/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW/bundle.json","state":"https://pith.science/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3JMBNJHLUZLTV2FY5HLXZGWWFW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:3JMBNJHLUZLTV2FY5HLXZGWWFW","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":"dbf7c6efab833520f3f13dddeeee1bcc3a9e7df2e108e0b0992c652b5dff8a4a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2025-05-22T16:50:55Z","title_canon_sha256":"04b5dfeb20b6a2bc5e3ad197ca628fbcec1fc4cf963d03dcf628cd64b0de2c4c"},"schema_version":"1.0","source":{"id":"2505.16893","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16893","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16893v2","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16893","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"pith_short_12","alias_value":"3JMBNJHLUZLT","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"pith_short_16","alias_value":"3JMBNJHLUZLTV2FY","created_at":"2026-07-05T12:03:48Z"},{"alias_kind":"pith_short_8","alias_value":"3JMBNJHL","created_at":"2026-07-05T12:03:48Z"}],"graph_snapshots":[{"event_id":"sha256:450c94e6517227730eb1ff21ab8b0ed4f546efeff27733e876e114f1c65c78c3","target":"graph","created_at":"2026-07-05T12:03:48Z","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/2505.16893/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Graph Neural Networks (GNNs) have gained prominence for their ability to process graph-structured data across various domains. However, interpreting GNN decisions remains a significant challenge, leading to the adoption of saliency maps for identifying salient subgraphs composed of influential nodes and edges. Despite their utility, the reliability of GNN saliency maps has been questioned, particularly in terms of their robustness to input noise. In this study, we propose a statistical testing framework to rigorously evaluate the significance of saliency maps. Our main contribution lies in add","authors_text":"Ichiro Takeuchi, Shuichi Nishino, Teruyuki Katsuoka, Tomohiro Shiraishi","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2025-05-22T16:50:55Z","title":"Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16893","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":"sha256:46c458e5d76a3d252f39a57d60423f547cd5933e719571c5d7c0f5efcb956970","target":"record","created_at":"2026-07-05T12:03:48Z","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":"dbf7c6efab833520f3f13dddeeee1bcc3a9e7df2e108e0b0992c652b5dff8a4a","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2025-05-22T16:50:55Z","title_canon_sha256":"04b5dfeb20b6a2bc5e3ad197ca628fbcec1fc4cf963d03dcf628cd64b0de2c4c"},"schema_version":"1.0","source":{"id":"2505.16893","kind":"arxiv","version":2}},"canonical_sha256":"da5816a4eba6573ae8b8e9d77c9ad62da1b2b002abdfad1e73627d49f4010c8e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"da5816a4eba6573ae8b8e9d77c9ad62da1b2b002abdfad1e73627d49f4010c8e","first_computed_at":"2026-07-05T12:03:48.692381Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:48.692381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d8xO9qN46RLgJqnJX+cSXPzsRQO/9ssyEImMzBKNTasfI8ZYt5/t04LM34OI+kW2tye92qH02GiJLozWi9qLBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:48.692911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16893","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46c458e5d76a3d252f39a57d60423f547cd5933e719571c5d7c0f5efcb956970","sha256:450c94e6517227730eb1ff21ab8b0ed4f546efeff27733e876e114f1c65c78c3"],"state_sha256":"4a7d64c4072dab304bb0036cc6c015ab3b7ed5a20b1828b8dafbe9a4237b191e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6v/gFktLz1dTZ8y8Vvs0aMVPxucwbPiYGpt1RWcUhfA9h3RLRs2+7ZQCez164etvtfy7zXAKnBBtaNV3znZpCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T17:07:17.948190Z","bundle_sha256":"84b5b7d76d8234c59631266d16e3434f56c75948cd5906f440362fe51b98b3cf"}}