{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:CZICXR6BHQWJWKV73ACOJVSWCQ","short_pith_number":"pith:CZICXR6B","canonical_record":{"source":{"id":"2502.07980","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T21:53:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ffdedb5e3219df92bcbd0e3bbc5a083886a3a822d3f51f3d115d40d2bdaeeca4","abstract_canon_sha256":"0d2054de4e9d24eb26bae7d72dd8e90c70bb97d6866bb9acf11efec154197c3b"},"schema_version":"1.0"},"canonical_sha256":"16502bc7c13c2c9b2abfd804e4d656140394087995e8f8aff4fa0c3797b39703","source":{"kind":"arxiv","id":"2502.07980","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07980","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07980v1","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07980","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"pith_short_12","alias_value":"CZICXR6BHQWJ","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"pith_short_16","alias_value":"CZICXR6BHQWJWKV7","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"pith_short_8","alias_value":"CZICXR6B","created_at":"2026-07-05T10:13:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:CZICXR6BHQWJWKV73ACOJVSWCQ","target":"record","payload":{"canonical_record":{"source":{"id":"2502.07980","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T21:53:48Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ffdedb5e3219df92bcbd0e3bbc5a083886a3a822d3f51f3d115d40d2bdaeeca4","abstract_canon_sha256":"0d2054de4e9d24eb26bae7d72dd8e90c70bb97d6866bb9acf11efec154197c3b"},"schema_version":"1.0"},"canonical_sha256":"16502bc7c13c2c9b2abfd804e4d656140394087995e8f8aff4fa0c3797b39703","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:13:13.185347Z","signature_b64":"/CfouiGeBEv9Unc2zmZlP8eYC6Z2AvxgABp/BMGkHF9gB1BqJlFbhuu3ziwuLN8uCCpTu2dmzlIOKALqvCJUDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16502bc7c13c2c9b2abfd804e4d656140394087995e8f8aff4fa0c3797b39703","last_reissued_at":"2026-07-05T10:13:13.184818Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:13:13.184818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.07980","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":"2026-07-05T10:13:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hExr/tm9rE0gkvLGeuTO2Seo6XXdYG0Zy1bS5+L7d7Qmzi8ahbBWPf6AB6WNozEaqQaRzxBtWAsegF5fikyHDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:20:44.344245Z"},"content_sha256":"2713dc3fef5b1c23529d138caca3f43c625eb308b4305659b22226dc21b228e0","schema_version":"1.0","event_id":"sha256:2713dc3fef5b1c23529d138caca3f43c625eb308b4305659b22226dc21b228e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:CZICXR6BHQWJWKV73ACOJVSWCQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Lejla Skelic, Matthew Cox, Ruonan Han, Tao Yu, Wenjie Lu, Yan Xu","submitted_at":"2025-02-11T21:53:48Z","abstract_excerpt":"The role of Large Language Models (LLMs) has not been extensively explored in analog circuit design, which could benefit from a reasoning-based approach that transcends traditional optimization techniques. In particular, despite their growing relevance, there are no benchmarks to assess LLMs' reasoning capability about circuits. Therefore, we created the CIRCUIT dataset consisting of 510 question-answer pairs spanning various levels of analog-circuit-related subjects. The best-performing model on our dataset, GPT-4o, achieves 48.04% accuracy when evaluated on the final numerical answer. To eva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07980","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/2502.07980/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":"2026-07-05T10:13:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fj6YWij+5SL44J570NDsJ5iUf/MSDZGLqJINuNlaq+1n3AwctjY8gxEyBnpzAeqJeY3hbQPjCc91bFi5ZXCGAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T06:20:44.344732Z"},"content_sha256":"9ed1145f820d9548767db8b6dacc22bee1939ea97240a2c5f760c6c97ee548fa","schema_version":"1.0","event_id":"sha256:9ed1145f820d9548767db8b6dacc22bee1939ea97240a2c5f760c6c97ee548fa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CZICXR6BHQWJWKV73ACOJVSWCQ/bundle.json","state_url":"https://pith.science/pith/CZICXR6BHQWJWKV73ACOJVSWCQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CZICXR6BHQWJWKV73ACOJVSWCQ/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":"2026-08-18T06:20:44Z","links":{"resolver":"https://pith.science/pith/CZICXR6BHQWJWKV73ACOJVSWCQ","bundle":"https://pith.science/pith/CZICXR6BHQWJWKV73ACOJVSWCQ/bundle.json","state":"https://pith.science/pith/CZICXR6BHQWJWKV73ACOJVSWCQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CZICXR6BHQWJWKV73ACOJVSWCQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CZICXR6BHQWJWKV73ACOJVSWCQ","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":"0d2054de4e9d24eb26bae7d72dd8e90c70bb97d6866bb9acf11efec154197c3b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T21:53:48Z","title_canon_sha256":"ffdedb5e3219df92bcbd0e3bbc5a083886a3a822d3f51f3d115d40d2bdaeeca4"},"schema_version":"1.0","source":{"id":"2502.07980","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.07980","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"arxiv_version","alias_value":"2502.07980v1","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.07980","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"pith_short_12","alias_value":"CZICXR6BHQWJ","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"pith_short_16","alias_value":"CZICXR6BHQWJWKV7","created_at":"2026-07-05T10:13:13Z"},{"alias_kind":"pith_short_8","alias_value":"CZICXR6B","created_at":"2026-07-05T10:13:13Z"}],"graph_snapshots":[{"event_id":"sha256:9ed1145f820d9548767db8b6dacc22bee1939ea97240a2c5f760c6c97ee548fa","target":"graph","created_at":"2026-07-05T10:13:13Z","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/2502.07980/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The role of Large Language Models (LLMs) has not been extensively explored in analog circuit design, which could benefit from a reasoning-based approach that transcends traditional optimization techniques. In particular, despite their growing relevance, there are no benchmarks to assess LLMs' reasoning capability about circuits. Therefore, we created the CIRCUIT dataset consisting of 510 question-answer pairs spanning various levels of analog-circuit-related subjects. The best-performing model on our dataset, GPT-4o, achieves 48.04% accuracy when evaluated on the final numerical answer. To eva","authors_text":"Lejla Skelic, Matthew Cox, Ruonan Han, Tao Yu, Wenjie Lu, Yan Xu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T21:53:48Z","title":"CIRCUIT: A Benchmark for Circuit Interpretation and Reasoning Capabilities of LLMs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.07980","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":"sha256:2713dc3fef5b1c23529d138caca3f43c625eb308b4305659b22226dc21b228e0","target":"record","created_at":"2026-07-05T10:13:13Z","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":"0d2054de4e9d24eb26bae7d72dd8e90c70bb97d6866bb9acf11efec154197c3b","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-11T21:53:48Z","title_canon_sha256":"ffdedb5e3219df92bcbd0e3bbc5a083886a3a822d3f51f3d115d40d2bdaeeca4"},"schema_version":"1.0","source":{"id":"2502.07980","kind":"arxiv","version":1}},"canonical_sha256":"16502bc7c13c2c9b2abfd804e4d656140394087995e8f8aff4fa0c3797b39703","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16502bc7c13c2c9b2abfd804e4d656140394087995e8f8aff4fa0c3797b39703","first_computed_at":"2026-07-05T10:13:13.184818Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:13:13.184818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/CfouiGeBEv9Unc2zmZlP8eYC6Z2AvxgABp/BMGkHF9gB1BqJlFbhuu3ziwuLN8uCCpTu2dmzlIOKALqvCJUDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:13:13.185347Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.07980","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2713dc3fef5b1c23529d138caca3f43c625eb308b4305659b22226dc21b228e0","sha256:9ed1145f820d9548767db8b6dacc22bee1939ea97240a2c5f760c6c97ee548fa"],"state_sha256":"b00dc3b15f79a0898be05182fb907826361b4c181d6982cfd8ada970a5909200"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hgrt4oWvHDLyEav8OjXYc3VqnpMqgWUycfpBBfld4CEheZ9KcDWZKAJTHv1d9/R1pfvK2fd65hLzaoc8I/EBCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T06:20:44.348653Z","bundle_sha256":"1d8f63e428b90f58463cef590a29fcd1b6a68c121070d572be4be7c3bc72b2be"}}