{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:I54V3OKPH5YIZNIZFUERYTVGX3","short_pith_number":"pith:I54V3OKP","canonical_record":{"source":{"id":"2602.06090","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-02-05T06:26:46Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"6352455013f9e7c93943c779f05305e2421d7b06ccad4f255d2d41522e90cfcc","abstract_canon_sha256":"93cd0c12d983a8e07621fb761a70970059fce4156dd75939d9172c0f10803f81"},"schema_version":"1.0"},"canonical_sha256":"47795db94f3f708cb5192d091c4ea6bef4a11804fa83b04ced2429908e7ea54d","source":{"kind":"arxiv","id":"2602.06090","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.06090","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"arxiv_version","alias_value":"2602.06090v2","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.06090","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"pith_short_12","alias_value":"I54V3OKPH5YI","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"pith_short_16","alias_value":"I54V3OKPH5YIZNIZ","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"pith_short_8","alias_value":"I54V3OKP","created_at":"2026-08-04T02:09:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:I54V3OKPH5YIZNIZFUERYTVGX3","target":"record","payload":{"canonical_record":{"source":{"id":"2602.06090","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-02-05T06:26:46Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"6352455013f9e7c93943c779f05305e2421d7b06ccad4f255d2d41522e90cfcc","abstract_canon_sha256":"93cd0c12d983a8e07621fb761a70970059fce4156dd75939d9172c0f10803f81"},"schema_version":"1.0"},"canonical_sha256":"47795db94f3f708cb5192d091c4ea6bef4a11804fa83b04ced2429908e7ea54d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-04T02:09:21.141176Z","signature_b64":"ocJjL6H3+JBYqJewkmK1VHFF6+5X4LGctkuCjL8OCvoiIKUNtIWIQ9y6EA9A686fU1D8sgsFrraR/0bWhRF7Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47795db94f3f708cb5192d091c4ea6bef4a11804fa83b04ced2429908e7ea54d","last_reissued_at":"2026-08-04T02:09:21.139323Z","signature_status":"signed_v1","first_computed_at":"2026-08-04T02:09:21.139323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.06090","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":"2026-08-04T02:09:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V2ICsLOa5oDGuwtuqbPJ7q+gWs1o5lHB/2+dAB5GPM7nZ9NGGcuVXTg2EqmUCIj1jOyRD1aJJcYK+yqD8ZZ9Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:58:00.565478Z"},"content_sha256":"4b9297cb837e99e6650e3ecc6e1bf2fdb928de43274f596315bb83a14f70fa7c","schema_version":"1.0","event_id":"sha256:4b9297cb837e99e6650e3ecc6e1bf2fdb928de43274f596315bb83a14f70fa7c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:I54V3OKPH5YIZNIZFUERYTVGX3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SVRepair: Structured Visual Reasoning for Automated Program Repair","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.SE","authors_text":"Dajun Chen, Jincheng Wang, Jingxuan Xu, Liwei Luo, Sheng Zhou, Wei Jiang, Xiaoxuan Tang, Yong Li","submitted_at":"2026-02-05T06:26:46Z","abstract_excerpt":"Large language models (LLMs) have recently been applied to Automated Program Repair (APR), yet most existing approaches remain unimodal and fail to use diagnostic signals contained in visual artifacts such as screenshots and control-flow graphs. In practice, many bug reports convey critical information visually (e.g., layout breakage or missing widgets), but directly using such dense visual inputs often causes context loss and noise, making it difficult for MLLMs to ground visual observations into precise fault localization and executable patches. To bridge this semantic gap, we propose \\textb"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.06090","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/2602.06090/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":"2026-08-04T02:09:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4xyWXYn61yWTB/cYvQsL2xc37PuPe1E2xvyoS9y0wi22i2YikgFT7b82GooEjsylWbKw6ssrMUuVOKNCcA5oBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:58:00.566015Z"},"content_sha256":"0c89d73e0594029ec6b9fcd8dc50b996577932a42695a7c4d83e780da0bdaed0","schema_version":"1.0","event_id":"sha256:0c89d73e0594029ec6b9fcd8dc50b996577932a42695a7c4d83e780da0bdaed0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I54V3OKPH5YIZNIZFUERYTVGX3/bundle.json","state_url":"https://pith.science/pith/I54V3OKPH5YIZNIZFUERYTVGX3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I54V3OKPH5YIZNIZFUERYTVGX3/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":"2026-08-06T22:58:00Z","links":{"resolver":"https://pith.science/pith/I54V3OKPH5YIZNIZFUERYTVGX3","bundle":"https://pith.science/pith/I54V3OKPH5YIZNIZFUERYTVGX3/bundle.json","state":"https://pith.science/pith/I54V3OKPH5YIZNIZFUERYTVGX3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I54V3OKPH5YIZNIZFUERYTVGX3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I54V3OKPH5YIZNIZFUERYTVGX3","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":"93cd0c12d983a8e07621fb761a70970059fce4156dd75939d9172c0f10803f81","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-02-05T06:26:46Z","title_canon_sha256":"6352455013f9e7c93943c779f05305e2421d7b06ccad4f255d2d41522e90cfcc"},"schema_version":"1.0","source":{"id":"2602.06090","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.06090","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"arxiv_version","alias_value":"2602.06090v2","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.06090","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"pith_short_12","alias_value":"I54V3OKPH5YI","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"pith_short_16","alias_value":"I54V3OKPH5YIZNIZ","created_at":"2026-08-04T02:09:21Z"},{"alias_kind":"pith_short_8","alias_value":"I54V3OKP","created_at":"2026-08-04T02:09:21Z"}],"graph_snapshots":[{"event_id":"sha256:0c89d73e0594029ec6b9fcd8dc50b996577932a42695a7c4d83e780da0bdaed0","target":"graph","created_at":"2026-08-04T02:09:21Z","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/2602.06090/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have recently been applied to Automated Program Repair (APR), yet most existing approaches remain unimodal and fail to use diagnostic signals contained in visual artifacts such as screenshots and control-flow graphs. In practice, many bug reports convey critical information visually (e.g., layout breakage or missing widgets), but directly using such dense visual inputs often causes context loss and noise, making it difficult for MLLMs to ground visual observations into precise fault localization and executable patches. To bridge this semantic gap, we propose \\textb","authors_text":"Dajun Chen, Jincheng Wang, Jingxuan Xu, Liwei Luo, Sheng Zhou, Wei Jiang, Xiaoxuan Tang, Yong Li","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-02-05T06:26:46Z","title":"SVRepair: Structured Visual Reasoning for Automated Program Repair"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.06090","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":"sha256:4b9297cb837e99e6650e3ecc6e1bf2fdb928de43274f596315bb83a14f70fa7c","target":"record","created_at":"2026-08-04T02:09:21Z","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":"93cd0c12d983a8e07621fb761a70970059fce4156dd75939d9172c0f10803f81","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SE","submitted_at":"2026-02-05T06:26:46Z","title_canon_sha256":"6352455013f9e7c93943c779f05305e2421d7b06ccad4f255d2d41522e90cfcc"},"schema_version":"1.0","source":{"id":"2602.06090","kind":"arxiv","version":2}},"canonical_sha256":"47795db94f3f708cb5192d091c4ea6bef4a11804fa83b04ced2429908e7ea54d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47795db94f3f708cb5192d091c4ea6bef4a11804fa83b04ced2429908e7ea54d","first_computed_at":"2026-08-04T02:09:21.139323Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:09:21.139323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ocJjL6H3+JBYqJewkmK1VHFF6+5X4LGctkuCjL8OCvoiIKUNtIWIQ9y6EA9A686fU1D8sgsFrraR/0bWhRF7Ag==","signature_status":"signed_v1","signed_at":"2026-08-04T02:09:21.141176Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.06090","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4b9297cb837e99e6650e3ecc6e1bf2fdb928de43274f596315bb83a14f70fa7c","sha256:0c89d73e0594029ec6b9fcd8dc50b996577932a42695a7c4d83e780da0bdaed0"],"state_sha256":"5fedc9e426f61c9114511c0ddb3b4707e57345aa60e93037bddd82c316ec3a9e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nMd1OpT+OSb+AaT7F8Si1zEW2Pc5jXHHkqAJ2eDpo9Ma5OdUu5YW4BqucHUPB3jGZMpKSVXFKvsr2ez4AlC4AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:58:00.569555Z","bundle_sha256":"b103f228aa5263e66b6318af30e1413bfd87a928bbeaacd50b089f2cdf0e6b2a"}}