{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UG3RUVLYWDO3VBQCSS3JGMMGA6","short_pith_number":"pith:UG3RUVLY","canonical_record":{"source":{"id":"2607.00511","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-01T06:46:13Z","cross_cats_sorted":[],"title_canon_sha256":"e3af3d0b740d6ecbf2f3e5881eac40d8927e363969e63f7f5bf4f2d1c0c8be84","abstract_canon_sha256":"26882ef023ac5115fc9a785ad5223552230ab810b136acdcbae6c16549836953"},"schema_version":"1.0"},"canonical_sha256":"a1b71a5578b0ddba860294b6933186079bb7dbed6e0a1eb93b769dc29849c24f","source":{"kind":"arxiv","id":"2607.00511","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00511","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00511v1","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00511","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"UG3RUVLYWDO3","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"UG3RUVLYWDO3VBQC","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"UG3RUVLY","created_at":"2026-07-02T01:17:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UG3RUVLYWDO3VBQCSS3JGMMGA6","target":"record","payload":{"canonical_record":{"source":{"id":"2607.00511","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-01T06:46:13Z","cross_cats_sorted":[],"title_canon_sha256":"e3af3d0b740d6ecbf2f3e5881eac40d8927e363969e63f7f5bf4f2d1c0c8be84","abstract_canon_sha256":"26882ef023ac5115fc9a785ad5223552230ab810b136acdcbae6c16549836953"},"schema_version":"1.0"},"canonical_sha256":"a1b71a5578b0ddba860294b6933186079bb7dbed6e0a1eb93b769dc29849c24f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:17:46.307508Z","signature_b64":"p4aIAhskBJ8JIjTDXcYu/LQ7tUvI5Jfm6vvyYdhSBrtq/Wc5+SbGDyZfakYwvks1TfeqT4qpYxGKWh0mrQsTAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1b71a5578b0ddba860294b6933186079bb7dbed6e0a1eb93b769dc29849c24f","last_reissued_at":"2026-07-02T01:17:46.307108Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:17:46.307108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.00511","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":"2026-07-02T01:17:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i9dq9+L8P/owdNnbialmCJMLp/ecMZc1wEeVCkyVdn/NLzVBl68ma9ywErv5YHu9n3yVdXTAh/g287eokF/eAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T20:41:32.825938Z"},"content_sha256":"5df54d62ccf724b803432092f9a6ce70d779a22baf532f45cd694a90b175bf74","schema_version":"1.0","event_id":"sha256:5df54d62ccf724b803432092f9a6ce70d779a22baf532f45cd694a90b175bf74"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UG3RUVLYWDO3VBQCSS3JGMMGA6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SE","authors_text":"Dong Wang, Honglin Shu, Jiazhe Zhang, Junjie Chen, Junji Yu, Xuejie Cao, Yasutaka Kamei, Zhao Tian","submitted_at":"2026-07-01T06:46:13Z","abstract_excerpt":"Mutation testing is a powerful technique for ensuring software quality. However, the presence of equivalent mutants introduces unnecessary costs and biases, limiting its practical effectiveness. Although numerous equivalent mutant detection (EMD) methods have been proposed, they often face distinct challenges: pure-code analysis methods can be limited by their reliance on specific compiler infrastructures, while existing machine-learning approaches remain constrained by scarce training data and limited generalization to unseen mutants. Large language models (LLMs) have recently demonstrated re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00511","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/2607.00511/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":"2026-07-02T01:17:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WiQYwhD/Q587j3PD/0mrX23rZHV6KjTnI/gp9NtwGdyJO5vaZhjEyokrjT/PEN++tuDvXg4TojB2xxuEdAkOAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-02T20:41:32.826326Z"},"content_sha256":"aa7bb7bc03d454f119a99e60af0b7c46e49be1f11c68b22d59598a92f2b7f0aa","schema_version":"1.0","event_id":"sha256:aa7bb7bc03d454f119a99e60af0b7c46e49be1f11c68b22d59598a92f2b7f0aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6/bundle.json","state_url":"https://pith.science/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6/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":"2026-07-02T20:41:32Z","links":{"resolver":"https://pith.science/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6","bundle":"https://pith.science/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6/bundle.json","state":"https://pith.science/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UG3RUVLYWDO3VBQCSS3JGMMGA6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UG3RUVLYWDO3VBQCSS3JGMMGA6","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":"26882ef023ac5115fc9a785ad5223552230ab810b136acdcbae6c16549836953","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-01T06:46:13Z","title_canon_sha256":"e3af3d0b740d6ecbf2f3e5881eac40d8927e363969e63f7f5bf4f2d1c0c8be84"},"schema_version":"1.0","source":{"id":"2607.00511","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00511","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00511v1","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00511","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"UG3RUVLYWDO3","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"UG3RUVLYWDO3VBQC","created_at":"2026-07-02T01:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"UG3RUVLY","created_at":"2026-07-02T01:17:46Z"}],"graph_snapshots":[{"event_id":"sha256:aa7bb7bc03d454f119a99e60af0b7c46e49be1f11c68b22d59598a92f2b7f0aa","target":"graph","created_at":"2026-07-02T01:17:46Z","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/2607.00511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mutation testing is a powerful technique for ensuring software quality. However, the presence of equivalent mutants introduces unnecessary costs and biases, limiting its practical effectiveness. Although numerous equivalent mutant detection (EMD) methods have been proposed, they often face distinct challenges: pure-code analysis methods can be limited by their reliance on specific compiler infrastructures, while existing machine-learning approaches remain constrained by scarce training data and limited generalization to unseen mutants. Large language models (LLMs) have recently demonstrated re","authors_text":"Dong Wang, Honglin Shu, Jiazhe Zhang, Junjie Chen, Junji Yu, Xuejie Cao, Yasutaka Kamei, Zhao Tian","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-01T06:46:13Z","title":"Large Language Models for Multi-Lingual Equivalent Mutant Detection: An Extended Empirical Study"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00511","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":"sha256:5df54d62ccf724b803432092f9a6ce70d779a22baf532f45cd694a90b175bf74","target":"record","created_at":"2026-07-02T01:17:46Z","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":"26882ef023ac5115fc9a785ad5223552230ab810b136acdcbae6c16549836953","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-07-01T06:46:13Z","title_canon_sha256":"e3af3d0b740d6ecbf2f3e5881eac40d8927e363969e63f7f5bf4f2d1c0c8be84"},"schema_version":"1.0","source":{"id":"2607.00511","kind":"arxiv","version":1}},"canonical_sha256":"a1b71a5578b0ddba860294b6933186079bb7dbed6e0a1eb93b769dc29849c24f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1b71a5578b0ddba860294b6933186079bb7dbed6e0a1eb93b769dc29849c24f","first_computed_at":"2026-07-02T01:17:46.307108Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:17:46.307108Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"p4aIAhskBJ8JIjTDXcYu/LQ7tUvI5Jfm6vvyYdhSBrtq/Wc5+SbGDyZfakYwvks1TfeqT4qpYxGKWh0mrQsTAg==","signature_status":"signed_v1","signed_at":"2026-07-02T01:17:46.307508Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00511","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5df54d62ccf724b803432092f9a6ce70d779a22baf532f45cd694a90b175bf74","sha256:aa7bb7bc03d454f119a99e60af0b7c46e49be1f11c68b22d59598a92f2b7f0aa"],"state_sha256":"87e1f8f9b6b4a06d4c8a0aa8dcddcbe6a249a1c528634f936c47e181bdcabded"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"195D+WRhnuxPBxPaG+TtFlmAZfMCHId7WNuTxa/2w0uLUzAWX5E/s4Byj6jBKGMzC686kJTNYLev/UFhnSN5Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-02T20:41:32.828355Z","bundle_sha256":"5abbf834ca67b436c3de6758b88b826371165f0a040eba1856a8dc05de103e26"}}