{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GEZ3L727DRDMYCK7UTNSB6T7CX","short_pith_number":"pith:GEZ3L727","canonical_record":{"source":{"id":"2507.20078","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T23:07:11Z","cross_cats_sorted":[],"title_canon_sha256":"da0e371512f5298fd31f6ae0fdeb001d50cebedf91cce1a9748ba38ae7e9a41c","abstract_canon_sha256":"7421696afc75d664bc6228383e8c6d1d69a216ba3e346fe3cd0eaf5fd47c5b4a"},"schema_version":"1.0"},"canonical_sha256":"3133b5ff5f1c46cc095fa4db20fa7f15dd6dfa14419e0408e5c8bbd12dacd59d","source":{"kind":"arxiv","id":"2507.20078","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20078","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20078v1","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20078","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"pith_short_12","alias_value":"GEZ3L727DRDM","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"pith_short_16","alias_value":"GEZ3L727DRDMYCK7","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"pith_short_8","alias_value":"GEZ3L727","created_at":"2026-07-05T11:44:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GEZ3L727DRDMYCK7UTNSB6T7CX","target":"record","payload":{"canonical_record":{"source":{"id":"2507.20078","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T23:07:11Z","cross_cats_sorted":[],"title_canon_sha256":"da0e371512f5298fd31f6ae0fdeb001d50cebedf91cce1a9748ba38ae7e9a41c","abstract_canon_sha256":"7421696afc75d664bc6228383e8c6d1d69a216ba3e346fe3cd0eaf5fd47c5b4a"},"schema_version":"1.0"},"canonical_sha256":"3133b5ff5f1c46cc095fa4db20fa7f15dd6dfa14419e0408e5c8bbd12dacd59d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:12.864611Z","signature_b64":"OLHQZJPx473w0Yr3YIqs5S3UEkOavKmtFIOXjAbLPYnf0hqsQgI8zL92h6pfTKqv1GJPRTX5fWJY7jWaTWeJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3133b5ff5f1c46cc095fa4db20fa7f15dd6dfa14419e0408e5c8bbd12dacd59d","last_reissued_at":"2026-07-05T11:44:12.864170Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:12.864170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.20078","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":"2026-07-05T11:44:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oDNHZsMxSU3Og5c5re+xg/vXMeMi28Tzx7wAzypmGqoBrmXNftGudeMiwH/EVR7/rGkhMsphPkifgp/gJIlxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:19:41.225603Z"},"content_sha256":"055421cda664ac67cfd80a9400edc4c1a0f2161759b798a3009478654a8aca3f","schema_version":"1.0","event_id":"sha256:055421cda664ac67cfd80a9400edc4c1a0f2161759b798a3009478654a8aca3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GEZ3L727DRDMYCK7UTNSB6T7CX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Adelaide Danilov, Aria Nourbakhsh, Christoph Schommer","submitted_at":"2025-07-26T23:07:11Z","abstract_excerpt":"Recent pre-trained transformer models achieve superior performance in various code processing objectives. However, although effective at optimizing decision boundaries, common approaches for fine-tuning them for downstream classification tasks - distance-based methods or training an additional classification head - often fail to thoroughly structure the embedding space to reflect nuanced intra-class semantic relationships. Equivalent code mutant detection is one of these tasks, where the quality of the embedding space is crucial to the performance of the models. We introduce a novel framework "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20078","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/2507.20078/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":"2026-07-05T11:44:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TvfJIA1DgMcZwstURzeScJxnzFNeWIE9w1G9R1F3sRGh+6XjrcnzfV4F/+5UTeUGp47miRH7ISg+pmSX8tGGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T15:19:41.226165Z"},"content_sha256":"941a88bf58dbb7f54f8433239738a4c84735fabc7de39f251ee84307e1779dd1","schema_version":"1.0","event_id":"sha256:941a88bf58dbb7f54f8433239738a4c84735fabc7de39f251ee84307e1779dd1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GEZ3L727DRDMYCK7UTNSB6T7CX/bundle.json","state_url":"https://pith.science/pith/GEZ3L727DRDMYCK7UTNSB6T7CX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GEZ3L727DRDMYCK7UTNSB6T7CX/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":"2026-08-19T15:19:41Z","links":{"resolver":"https://pith.science/pith/GEZ3L727DRDMYCK7UTNSB6T7CX","bundle":"https://pith.science/pith/GEZ3L727DRDMYCK7UTNSB6T7CX/bundle.json","state":"https://pith.science/pith/GEZ3L727DRDMYCK7UTNSB6T7CX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GEZ3L727DRDMYCK7UTNSB6T7CX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GEZ3L727DRDMYCK7UTNSB6T7CX","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":"7421696afc75d664bc6228383e8c6d1d69a216ba3e346fe3cd0eaf5fd47c5b4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T23:07:11Z","title_canon_sha256":"da0e371512f5298fd31f6ae0fdeb001d50cebedf91cce1a9748ba38ae7e9a41c"},"schema_version":"1.0","source":{"id":"2507.20078","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.20078","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.20078v1","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20078","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"pith_short_12","alias_value":"GEZ3L727DRDM","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"pith_short_16","alias_value":"GEZ3L727DRDMYCK7","created_at":"2026-07-05T11:44:12Z"},{"alias_kind":"pith_short_8","alias_value":"GEZ3L727","created_at":"2026-07-05T11:44:12Z"}],"graph_snapshots":[{"event_id":"sha256:941a88bf58dbb7f54f8433239738a4c84735fabc7de39f251ee84307e1779dd1","target":"graph","created_at":"2026-07-05T11:44:12Z","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/2507.20078/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent pre-trained transformer models achieve superior performance in various code processing objectives. However, although effective at optimizing decision boundaries, common approaches for fine-tuning them for downstream classification tasks - distance-based methods or training an additional classification head - often fail to thoroughly structure the embedding space to reflect nuanced intra-class semantic relationships. Equivalent code mutant detection is one of these tasks, where the quality of the embedding space is crucial to the performance of the models. We introduce a novel framework ","authors_text":"Adelaide Danilov, Aria Nourbakhsh, Christoph Schommer","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T23:07:11Z","title":"Cluster Purge Loss: Structuring Transformer Embeddings for Equivalent Mutants Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20078","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":"sha256:055421cda664ac67cfd80a9400edc4c1a0f2161759b798a3009478654a8aca3f","target":"record","created_at":"2026-07-05T11:44:12Z","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":"7421696afc75d664bc6228383e8c6d1d69a216ba3e346fe3cd0eaf5fd47c5b4a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-07-26T23:07:11Z","title_canon_sha256":"da0e371512f5298fd31f6ae0fdeb001d50cebedf91cce1a9748ba38ae7e9a41c"},"schema_version":"1.0","source":{"id":"2507.20078","kind":"arxiv","version":1}},"canonical_sha256":"3133b5ff5f1c46cc095fa4db20fa7f15dd6dfa14419e0408e5c8bbd12dacd59d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3133b5ff5f1c46cc095fa4db20fa7f15dd6dfa14419e0408e5c8bbd12dacd59d","first_computed_at":"2026-07-05T11:44:12.864170Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:44:12.864170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OLHQZJPx473w0Yr3YIqs5S3UEkOavKmtFIOXjAbLPYnf0hqsQgI8zL92h6pfTKqv1GJPRTX5fWJY7jWaTWeJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:44:12.864611Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.20078","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:055421cda664ac67cfd80a9400edc4c1a0f2161759b798a3009478654a8aca3f","sha256:941a88bf58dbb7f54f8433239738a4c84735fabc7de39f251ee84307e1779dd1"],"state_sha256":"929b1b8109a391141020983d3b9f1d7ba106bd3df89317ed79ebed2b52ff5582"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RwGcP5XohGOdRAKLO85MUu24eb2q/AdB2pC2yEAHabyyUdZcyIOTfdixX85sHYVO8xHCfoLDZXBo9qMIA630Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T15:19:41.229819Z","bundle_sha256":"31b52071ac9fd89f0fadad88eef46c2765eeb91c2eb07043ec7a55d5f5d50bfb"}}