{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EFVJX332WTXR67DNRLS6MX6BQO","short_pith_number":"pith:EFVJX332","canonical_record":{"source":{"id":"2506.16650","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-19T23:27:58Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"e00559f9447217999d8ca8be729f31786d2526a5cbb9fb260eff1140702dd8cc","abstract_canon_sha256":"1752f07c5a81c2caeac5ab37ee549cd9996db037d893c357ebe9031db2472bc6"},"schema_version":"1.0"},"canonical_sha256":"216a9bef7ab4ef1f7c6d8ae5e65fc1839024840faffad3764cbfd67fa3a96c02","source":{"kind":"arxiv","id":"2506.16650","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16650","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16650v1","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16650","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"pith_short_12","alias_value":"EFVJX332WTXR","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"pith_short_16","alias_value":"EFVJX332WTXR67DN","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"pith_short_8","alias_value":"EFVJX332","created_at":"2026-07-05T11:24:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EFVJX332WTXR67DNRLS6MX6BQO","target":"record","payload":{"canonical_record":{"source":{"id":"2506.16650","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-19T23:27:58Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"e00559f9447217999d8ca8be729f31786d2526a5cbb9fb260eff1140702dd8cc","abstract_canon_sha256":"1752f07c5a81c2caeac5ab37ee549cd9996db037d893c357ebe9031db2472bc6"},"schema_version":"1.0"},"canonical_sha256":"216a9bef7ab4ef1f7c6d8ae5e65fc1839024840faffad3764cbfd67fa3a96c02","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:24:40.117210Z","signature_b64":"e2D9UdpeEJhtNmucpeBinnAemPr2HnQKhozqocmCucnC1hNt3ukLJT/YG9Ylgg0tjTcEAr9FeeVDV+2WjELaAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"216a9bef7ab4ef1f7c6d8ae5e65fc1839024840faffad3764cbfd67fa3a96c02","last_reissued_at":"2026-07-05T11:24:40.116715Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:24:40.116715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.16650","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":"2026-07-05T11:24:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IPbTIvdYwLxLZpTByZKO/qMeGK10NQMONEOIdgT03DvURVmMalVPDOiD7HK3vdwJNR7CJ3IeABXAQ/Zn7ncLCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:25:50.241479Z"},"content_sha256":"7f8d5b1e41fe96fa6bbb3e29d062895b1b5e5ed402eb7c2b49547b06feaeae6c","schema_version":"1.0","event_id":"sha256:7f8d5b1e41fe96fa6bbb3e29d062895b1b5e5ed402eb7c2b49547b06feaeae6c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EFVJX332WTXR67DNRLS6MX6BQO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SemAgent: A Semantics Aware Program Repair Agent","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.MA"],"primary_cat":"cs.SE","authors_text":"Alex Mathai, Anindya Chakraborty, Anvith Pabba, Baishakhi Ray","submitted_at":"2025-06-19T23:27:58Z","abstract_excerpt":"Large Language Models (LLMs) have shown impressive capabilities in downstream software engineering tasks such as Automated Program Repair (APR). In particular, there has been a lot of research on repository-level issue-resolution benchmarks such as SWE-Bench. Although there has been significant progress on this topic, we notice that in the process of solving such issues, existing agentic systems tend to hyper-localize on immediately suspicious lines of code and fix them in isolation, without a deeper understanding of the issue semantics, code semantics, or execution semantics. Consequently, ma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16650","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/2506.16650/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":"2026-07-05T11:24:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"P1OCCorGpUNOvWp8kpr925vWSA8YvVuBRPh7kULrfk5MVlJMbbIxx0HuzsQ7bcHcKrOzD8O3/XFZEQt8SwE7Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T16:25:50.241886Z"},"content_sha256":"2cc584a6573c9d6647c477e35c58f8e4d7eb557811ff4e369083cbfd3bc99ae9","schema_version":"1.0","event_id":"sha256:2cc584a6573c9d6647c477e35c58f8e4d7eb557811ff4e369083cbfd3bc99ae9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EFVJX332WTXR67DNRLS6MX6BQO/bundle.json","state_url":"https://pith.science/pith/EFVJX332WTXR67DNRLS6MX6BQO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EFVJX332WTXR67DNRLS6MX6BQO/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":"2026-08-17T16:25:50Z","links":{"resolver":"https://pith.science/pith/EFVJX332WTXR67DNRLS6MX6BQO","bundle":"https://pith.science/pith/EFVJX332WTXR67DNRLS6MX6BQO/bundle.json","state":"https://pith.science/pith/EFVJX332WTXR67DNRLS6MX6BQO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EFVJX332WTXR67DNRLS6MX6BQO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EFVJX332WTXR67DNRLS6MX6BQO","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":"1752f07c5a81c2caeac5ab37ee549cd9996db037d893c357ebe9031db2472bc6","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-19T23:27:58Z","title_canon_sha256":"e00559f9447217999d8ca8be729f31786d2526a5cbb9fb260eff1140702dd8cc"},"schema_version":"1.0","source":{"id":"2506.16650","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.16650","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"arxiv_version","alias_value":"2506.16650v1","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.16650","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"pith_short_12","alias_value":"EFVJX332WTXR","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"pith_short_16","alias_value":"EFVJX332WTXR67DN","created_at":"2026-07-05T11:24:40Z"},{"alias_kind":"pith_short_8","alias_value":"EFVJX332","created_at":"2026-07-05T11:24:40Z"}],"graph_snapshots":[{"event_id":"sha256:2cc584a6573c9d6647c477e35c58f8e4d7eb557811ff4e369083cbfd3bc99ae9","target":"graph","created_at":"2026-07-05T11:24:40Z","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/2506.16650/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have shown impressive capabilities in downstream software engineering tasks such as Automated Program Repair (APR). In particular, there has been a lot of research on repository-level issue-resolution benchmarks such as SWE-Bench. Although there has been significant progress on this topic, we notice that in the process of solving such issues, existing agentic systems tend to hyper-localize on immediately suspicious lines of code and fix them in isolation, without a deeper understanding of the issue semantics, code semantics, or execution semantics. Consequently, ma","authors_text":"Alex Mathai, Anindya Chakraborty, Anvith Pabba, Baishakhi Ray","cross_cats":["cs.AI","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-19T23:27:58Z","title":"SemAgent: A Semantics Aware Program Repair Agent"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.16650","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":"sha256:7f8d5b1e41fe96fa6bbb3e29d062895b1b5e5ed402eb7c2b49547b06feaeae6c","target":"record","created_at":"2026-07-05T11:24:40Z","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":"1752f07c5a81c2caeac5ab37ee549cd9996db037d893c357ebe9031db2472bc6","cross_cats_sorted":["cs.AI","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SE","submitted_at":"2025-06-19T23:27:58Z","title_canon_sha256":"e00559f9447217999d8ca8be729f31786d2526a5cbb9fb260eff1140702dd8cc"},"schema_version":"1.0","source":{"id":"2506.16650","kind":"arxiv","version":1}},"canonical_sha256":"216a9bef7ab4ef1f7c6d8ae5e65fc1839024840faffad3764cbfd67fa3a96c02","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"216a9bef7ab4ef1f7c6d8ae5e65fc1839024840faffad3764cbfd67fa3a96c02","first_computed_at":"2026-07-05T11:24:40.116715Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:40.116715Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"e2D9UdpeEJhtNmucpeBinnAemPr2HnQKhozqocmCucnC1hNt3ukLJT/YG9Ylgg0tjTcEAr9FeeVDV+2WjELaAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:40.117210Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.16650","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7f8d5b1e41fe96fa6bbb3e29d062895b1b5e5ed402eb7c2b49547b06feaeae6c","sha256:2cc584a6573c9d6647c477e35c58f8e4d7eb557811ff4e369083cbfd3bc99ae9"],"state_sha256":"2fa82fb06cf423837c1a90df86b6383fbb2d65acb33f3cd0bec6b2bb5b08d959"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PHRw6+lOp3RP0vWzBYM1CLKtJuSlewB+4xPE6Cpm6c/j4hnYJh1AT0j1507EkmpaW80U09oKCWFa3sQjMtCxAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T16:25:50.244589Z","bundle_sha256":"bc9a61f73c4efbf7e0207f29f30dd4f089e508e8acd28eb10e713c2cc5a0e8e4"}}