{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:VJMU26BZXPHEZRKZEG2ALDZ4PZ","short_pith_number":"pith:VJMU26BZ","canonical_record":{"source":{"id":"2603.01327","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-03-01T23:52:30Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"cd40ab17953bee472ab8ae1c6c2cc08f4a94c7df8bda6d65815f432786cb6b81","abstract_canon_sha256":"ffa11fa5a284d66bf0eeab42ce925d3ec351c7a76a29f61f6b6af577c56b4613"},"schema_version":"1.0"},"canonical_sha256":"aa594d7839bbce4cc55921b4058f3c7e44070f15844c053e67b7ec33018f3498","source":{"kind":"arxiv","id":"2603.01327","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.01327","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"arxiv_version","alias_value":"2603.01327v2","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.01327","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"pith_short_12","alias_value":"VJMU26BZXPHE","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"pith_short_16","alias_value":"VJMU26BZXPHEZRKZ","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"pith_short_8","alias_value":"VJMU26BZ","created_at":"2026-05-27T01:04:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:VJMU26BZXPHEZRKZEG2ALDZ4PZ","target":"record","payload":{"canonical_record":{"source":{"id":"2603.01327","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-03-01T23:52:30Z","cross_cats_sorted":["cs.CL","cs.LG"],"title_canon_sha256":"cd40ab17953bee472ab8ae1c6c2cc08f4a94c7df8bda6d65815f432786cb6b81","abstract_canon_sha256":"ffa11fa5a284d66bf0eeab42ce925d3ec351c7a76a29f61f6b6af577c56b4613"},"schema_version":"1.0"},"canonical_sha256":"aa594d7839bbce4cc55921b4058f3c7e44070f15844c053e67b7ec33018f3498","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-27T01:04:56.723082Z","signature_b64":"TsQdBKVsDwgA4gINets24tTyAiTfoVKl4nye/FAS3JJM0iew8fR5qONu1OqXuCA4P/mRAPCOLyiUwahrYuHCDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aa594d7839bbce4cc55921b4058f3c7e44070f15844c053e67b7ec33018f3498","last_reissued_at":"2026-05-27T01:04:56.722285Z","signature_status":"signed_v1","first_computed_at":"2026-05-27T01:04:56.722285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2603.01327","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":"2026-05-27T01:04:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YChkaD6DBtPZHrkNXYP9nfHtUgbCGAynglai/h0hkHM+gPtoo7+j4F095aDnTfyav//eL50SrWFZgsH2RLhKBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:33:42.354869Z"},"content_sha256":"d180c44cc4eea603b3b41602f07af4304b24279e97a1cc4bf8cea5e05439d51f","schema_version":"1.0","event_id":"sha256:d180c44cc4eea603b3b41602f07af4304b24279e97a1cc4bf8cea5e05439d51f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:VJMU26BZXPHEZRKZEG2ALDZ4PZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.LG"],"primary_cat":"cs.SE","authors_text":"Kang He, Kaushik Roy","submitted_at":"2026-03-01T23:52:30Z","abstract_excerpt":"Large language models (LLMs) exhibit strong performance on self-contained programming tasks. However, they still struggle with repository-level software engineering (SWE), which demands (1) deep codebase navigation with effective context management for accurate localization, and (2) systematic approaches for iterative, test-driven code modification to resolve issues. To address these challenges, we propose SWE-Adept, an LLM-based two-agent framework where a localization agent identifies issue-relevant code locations and a resolution agent implements the corresponding fixes. For issue localizat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.01327","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/2603.01327/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":"2026-05-27T01:04:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J0UYm3aDL2Z8+mpwSTEivIgfgJQbhCT5pcMLdCynXRPXhmYAeTCXVR115AN9aGGtfTAPSmLGpPb0ck+M4pvpDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T14:33:42.355656Z"},"content_sha256":"376f53c5290c705ecd653e31b1912ac2e75d2eda9b70853dcf1a3b2c6b2401c0","schema_version":"1.0","event_id":"sha256:376f53c5290c705ecd653e31b1912ac2e75d2eda9b70853dcf1a3b2c6b2401c0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ/bundle.json","state_url":"https://pith.science/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ/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":"2026-05-28T14:33:42Z","links":{"resolver":"https://pith.science/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ","bundle":"https://pith.science/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ/bundle.json","state":"https://pith.science/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VJMU26BZXPHEZRKZEG2ALDZ4PZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VJMU26BZXPHEZRKZEG2ALDZ4PZ","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":"ffa11fa5a284d66bf0eeab42ce925d3ec351c7a76a29f61f6b6af577c56b4613","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-03-01T23:52:30Z","title_canon_sha256":"cd40ab17953bee472ab8ae1c6c2cc08f4a94c7df8bda6d65815f432786cb6b81"},"schema_version":"1.0","source":{"id":"2603.01327","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2603.01327","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"arxiv_version","alias_value":"2603.01327v2","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.01327","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"pith_short_12","alias_value":"VJMU26BZXPHE","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"pith_short_16","alias_value":"VJMU26BZXPHEZRKZ","created_at":"2026-05-27T01:04:56Z"},{"alias_kind":"pith_short_8","alias_value":"VJMU26BZ","created_at":"2026-05-27T01:04:56Z"}],"graph_snapshots":[{"event_id":"sha256:376f53c5290c705ecd653e31b1912ac2e75d2eda9b70853dcf1a3b2c6b2401c0","target":"graph","created_at":"2026-05-27T01:04:56Z","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/2603.01327/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) exhibit strong performance on self-contained programming tasks. However, they still struggle with repository-level software engineering (SWE), which demands (1) deep codebase navigation with effective context management for accurate localization, and (2) systematic approaches for iterative, test-driven code modification to resolve issues. To address these challenges, we propose SWE-Adept, an LLM-based two-agent framework where a localization agent identifies issue-relevant code locations and a resolution agent implements the corresponding fixes. For issue localizat","authors_text":"Kang He, Kaushik Roy","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-03-01T23:52:30Z","title":"SWE-Adept: An LLM-Based Agentic Framework for Deep Codebase Analysis and Structured Issue Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.01327","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:d180c44cc4eea603b3b41602f07af4304b24279e97a1cc4bf8cea5e05439d51f","target":"record","created_at":"2026-05-27T01:04:56Z","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":"ffa11fa5a284d66bf0eeab42ce925d3ec351c7a76a29f61f6b6af577c56b4613","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2026-03-01T23:52:30Z","title_canon_sha256":"cd40ab17953bee472ab8ae1c6c2cc08f4a94c7df8bda6d65815f432786cb6b81"},"schema_version":"1.0","source":{"id":"2603.01327","kind":"arxiv","version":2}},"canonical_sha256":"aa594d7839bbce4cc55921b4058f3c7e44070f15844c053e67b7ec33018f3498","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa594d7839bbce4cc55921b4058f3c7e44070f15844c053e67b7ec33018f3498","first_computed_at":"2026-05-27T01:04:56.722285Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-27T01:04:56.722285Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TsQdBKVsDwgA4gINets24tTyAiTfoVKl4nye/FAS3JJM0iew8fR5qONu1OqXuCA4P/mRAPCOLyiUwahrYuHCDA==","signature_status":"signed_v1","signed_at":"2026-05-27T01:04:56.723082Z","signed_message":"canonical_sha256_bytes"},"source_id":"2603.01327","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d180c44cc4eea603b3b41602f07af4304b24279e97a1cc4bf8cea5e05439d51f","sha256:376f53c5290c705ecd653e31b1912ac2e75d2eda9b70853dcf1a3b2c6b2401c0"],"state_sha256":"d76fa7d804ff03ba959ac5ae5afd67cee2ea21d676af541b15703dbcbe771f31"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nm9t9HOoPS60ZlLS7bANuo5Dq0E6hgeRSRZaN+wsTs5xz+GV7vhAtbVLW4OhUo4K4ApOzLWyTiyesquv6O90BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T14:33:42.359559Z","bundle_sha256":"6682c76984bf2082b2d2900670cb60a23e7c36d0fb97f3aa8efbaa22f0f73e47"}}