{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:G7V5LY6JHND7D6OSKJFJ77WSNZ","short_pith_number":"pith:G7V5LY6J","canonical_record":{"source":{"id":"2506.15567","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-18T15:43:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"dfdbe94efe5eaaa1736ecaff370889e5680a9ba2f94882569978634887258525","abstract_canon_sha256":"2ffef149aa275ac8f7e6e994dbd0a6dffa3fb3ff693e74c3b193316fa9c5a5b1"},"schema_version":"1.0"},"canonical_sha256":"37ebd5e3c93b47f1f9d2524a9ffed26e5c0ed2a610d348e54a59c305f6fcad6f","source":{"kind":"arxiv","id":"2506.15567","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15567","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15567v3","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15567","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"pith_short_12","alias_value":"G7V5LY6JHND7","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"pith_short_16","alias_value":"G7V5LY6JHND7D6OS","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"pith_short_8","alias_value":"G7V5LY6J","created_at":"2026-07-05T12:03:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:G7V5LY6JHND7D6OSKJFJ77WSNZ","target":"record","payload":{"canonical_record":{"source":{"id":"2506.15567","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-18T15:43:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"dfdbe94efe5eaaa1736ecaff370889e5680a9ba2f94882569978634887258525","abstract_canon_sha256":"2ffef149aa275ac8f7e6e994dbd0a6dffa3fb3ff693e74c3b193316fa9c5a5b1"},"schema_version":"1.0"},"canonical_sha256":"37ebd5e3c93b47f1f9d2524a9ffed26e5c0ed2a610d348e54a59c305f6fcad6f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:03:27.699339Z","signature_b64":"+BC6iVcfV0RJmnwgEch/6nDXL3oQhuxLVHliB/yoU30nTjtcALgBWo96ASvW2Me74XJmIFE3lNo7lXDZuU6ZBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37ebd5e3c93b47f1f9d2524a9ffed26e5c0ed2a610d348e54a59c305f6fcad6f","last_reissued_at":"2026-07-05T12:03:27.698833Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:03:27.698833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.15567","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:03:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CvYnQy5PJxYvriAuiqbrGRg1BG6AbufP5k7gNNTKHdOjfWTL+BChwqA9iBD7wWmu0vCuXjK3Q+TQGB09zyKOBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:53:02.486057Z"},"content_sha256":"9df5f8d36bb437e1004e82a9a26dd911ca4b4cc92f0d83b754c24f635440e4dd","schema_version":"1.0","event_id":"sha256:9df5f8d36bb437e1004e82a9a26dd911ca4b4cc92f0d83b754c24f635440e4dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:G7V5LY6JHND7D6OSKJFJ77WSNZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.AI","authors_text":"Aline Dobrovsky, Christian Burmer, Konstantin Schekotihin","submitted_at":"2025-06-18T15:43:10Z","abstract_excerpt":"Failure Analysis (FA) is a highly intricate and knowledge-intensive process. The integration of AI components within the computational infrastructure of FA labs has the potential to automate a variety of tasks, including the detection of non-conformities in images, the retrieval of analogous cases from diverse data sources, and the generation of reports from annotated images. However, as the number of deployed AI models increases, the challenge lies in orchestrating these components into cohesive and efficient workflows that seamlessly integrate with the FA process.\n  This paper investigates t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15567","kind":"arxiv","version":3},"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/2506.15567/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":"2026-07-05T12:03:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MLhxaH/CUlXgBI9MHu40cl2Y1fJcA0Lwsp97E2MBXDVcmf76f6m/KYrcD2Zo9Ilk/y9g0JY+xmQ3IELT6VZlDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:53:02.486583Z"},"content_sha256":"ac7dfee7d36dc0a6eb4b48aee8b222fb265f80fb8e5fc064dd8cceeb66bca2a7","schema_version":"1.0","event_id":"sha256:ac7dfee7d36dc0a6eb4b48aee8b222fb265f80fb8e5fc064dd8cceeb66bca2a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ/bundle.json","state_url":"https://pith.science/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ/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":"2026-08-09T04:53:02Z","links":{"resolver":"https://pith.science/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ","bundle":"https://pith.science/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ/bundle.json","state":"https://pith.science/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G7V5LY6JHND7D6OSKJFJ77WSNZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:G7V5LY6JHND7D6OSKJFJ77WSNZ","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":"2ffef149aa275ac8f7e6e994dbd0a6dffa3fb3ff693e74c3b193316fa9c5a5b1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-18T15:43:10Z","title_canon_sha256":"dfdbe94efe5eaaa1736ecaff370889e5680a9ba2f94882569978634887258525"},"schema_version":"1.0","source":{"id":"2506.15567","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15567","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15567v3","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15567","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"pith_short_12","alias_value":"G7V5LY6JHND7","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"pith_short_16","alias_value":"G7V5LY6JHND7D6OS","created_at":"2026-07-05T12:03:27Z"},{"alias_kind":"pith_short_8","alias_value":"G7V5LY6J","created_at":"2026-07-05T12:03:27Z"}],"graph_snapshots":[{"event_id":"sha256:ac7dfee7d36dc0a6eb4b48aee8b222fb265f80fb8e5fc064dd8cceeb66bca2a7","target":"graph","created_at":"2026-07-05T12:03:27Z","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/2506.15567/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Failure Analysis (FA) is a highly intricate and knowledge-intensive process. The integration of AI components within the computational infrastructure of FA labs has the potential to automate a variety of tasks, including the detection of non-conformities in images, the retrieval of analogous cases from diverse data sources, and the generation of reports from annotated images. However, as the number of deployed AI models increases, the challenge lies in orchestrating these components into cohesive and efficient workflows that seamlessly integrate with the FA process.\n  This paper investigates t","authors_text":"Aline Dobrovsky, Christian Burmer, Konstantin Schekotihin","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-18T15:43:10Z","title":"Intelligent Assistants for the Semiconductor Failure Analysis with LLM-Based Planning Agents"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15567","kind":"arxiv","version":3},"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":"sha256:9df5f8d36bb437e1004e82a9a26dd911ca4b4cc92f0d83b754c24f635440e4dd","target":"record","created_at":"2026-07-05T12:03:27Z","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":"2ffef149aa275ac8f7e6e994dbd0a6dffa3fb3ff693e74c3b193316fa9c5a5b1","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2025-06-18T15:43:10Z","title_canon_sha256":"dfdbe94efe5eaaa1736ecaff370889e5680a9ba2f94882569978634887258525"},"schema_version":"1.0","source":{"id":"2506.15567","kind":"arxiv","version":3}},"canonical_sha256":"37ebd5e3c93b47f1f9d2524a9ffed26e5c0ed2a610d348e54a59c305f6fcad6f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37ebd5e3c93b47f1f9d2524a9ffed26e5c0ed2a610d348e54a59c305f6fcad6f","first_computed_at":"2026-07-05T12:03:27.698833Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:27.698833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+BC6iVcfV0RJmnwgEch/6nDXL3oQhuxLVHliB/yoU30nTjtcALgBWo96ASvW2Me74XJmIFE3lNo7lXDZuU6ZBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:27.699339Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15567","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9df5f8d36bb437e1004e82a9a26dd911ca4b4cc92f0d83b754c24f635440e4dd","sha256:ac7dfee7d36dc0a6eb4b48aee8b222fb265f80fb8e5fc064dd8cceeb66bca2a7"],"state_sha256":"1829ea946e41959de5f62021043ee710b03dda6090cbe03fbd10ec2bfec418a6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7euucz4MPAavNZSM7YoDAUOWQyQeoPsu4jHSXhpHopCVKiZFzzX11r6h2RholjF6EqxvLrZgnINrOh3wRFbsBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:53:02.492287Z","bundle_sha256":"83b5369044fb633016d7a390fd4b1186785ca5d3352a199853b82ec41720ab3f"}}