{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5HTW7O35C7QZ2AZU76Y3XEKU7I","short_pith_number":"pith:5HTW7O35","canonical_record":{"source":{"id":"2605.24603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T14:40:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4b930f6f569b7011ee9631882d44bbd0edd48ab19c60e83ce4456573777462dc","abstract_canon_sha256":"f6f414b7e1a39e783f143a9978ab1661843eb1419a11aad55b168c53de046861"},"schema_version":"1.0"},"canonical_sha256":"e9e76fbb7d17e19d0334ffb1bb9154fa315fe69d4f3e0ffc7d4f50f0931f2ee1","source":{"kind":"arxiv","id":"2605.24603","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24603","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24603v1","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24603","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"pith_short_12","alias_value":"5HTW7O35C7QZ","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"pith_short_16","alias_value":"5HTW7O35C7QZ2AZU","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"pith_short_8","alias_value":"5HTW7O35","created_at":"2026-05-26T01:03:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5HTW7O35C7QZ2AZU76Y3XEKU7I","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24603","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T14:40:07Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4b930f6f569b7011ee9631882d44bbd0edd48ab19c60e83ce4456573777462dc","abstract_canon_sha256":"f6f414b7e1a39e783f143a9978ab1661843eb1419a11aad55b168c53de046861"},"schema_version":"1.0"},"canonical_sha256":"e9e76fbb7d17e19d0334ffb1bb9154fa315fe69d4f3e0ffc7d4f50f0931f2ee1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:48.527813Z","signature_b64":"MZOkS9TOShKd5eHgi3wwIVzEIbILs+/ScHnXLyCZ0I6xxYPAIVbwp4x0f6FFPpRyrGtvL9h+LPylr5Zz0rCBBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e9e76fbb7d17e19d0334ffb1bb9154fa315fe69d4f3e0ffc7d4f50f0931f2ee1","last_reissued_at":"2026-05-26T01:03:48.526943Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:48.526943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24603","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":"2026-05-26T01:03:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nWB6wAQp4nroKUI4CADYjVdoL6gglnDSgRs7+/rq0Nuv4RkpWmSKvykgZOXg7uCnUvn5IF5KEBWseEVDZRLrCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T11:51:18.004012Z"},"content_sha256":"87296772eb0d5dc514c49e9461773b1364bb8679038ac326daac899ad8c25346","schema_version":"1.0","event_id":"sha256:87296772eb0d5dc514c49e9461773b1364bb8679038ac326daac899ad8c25346"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5HTW7O35C7QZ2AZU76Y3XEKU7I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Piotr Wilam","submitted_at":"2026-05-23T14:40:07Z","abstract_excerpt":"A sparse 8-layer code transformer develops dedicated neural circuitry for every Python construct tested, and that circuitry is organised by a clean computational principle rather than by semantic category. We extract neural circuits for 106 concepts (43 AST node types, 63 builtin objects) by marginalising across 63,800 controlled prompts, and decompose each circuit into concept-specific and token-driven components using contrastive checker prompts that present a keyword token without its associated syntactic structure. Three findings emerge. First, all 106 concepts produce non-empty universal "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24603","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/2605.24603/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":"2026-05-26T01:03:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jXweqUPrS3p5+vcVu3bz1scTKszrmVW1uw74zB9LXriCpP1r6bTSYTv/ypiIid7xHRAfCJ+Ud4aHX9/K2o3FBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T11:51:18.004517Z"},"content_sha256":"1a967a584573118e8fc8569e8fcdf0c767b6cdef972e3c558e78b8a6718fd79b","schema_version":"1.0","event_id":"sha256:1a967a584573118e8fc8569e8fcdf0c767b6cdef972e3c558e78b8a6718fd79b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I/bundle.json","state_url":"https://pith.science/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I/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":"2026-08-06T11:51:18Z","links":{"resolver":"https://pith.science/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I","bundle":"https://pith.science/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I/bundle.json","state":"https://pith.science/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5HTW7O35C7QZ2AZU76Y3XEKU7I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5HTW7O35C7QZ2AZU76Y3XEKU7I","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":"f6f414b7e1a39e783f143a9978ab1661843eb1419a11aad55b168c53de046861","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T14:40:07Z","title_canon_sha256":"4b930f6f569b7011ee9631882d44bbd0edd48ab19c60e83ce4456573777462dc"},"schema_version":"1.0","source":{"id":"2605.24603","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24603","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24603v1","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24603","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"pith_short_12","alias_value":"5HTW7O35C7QZ","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"pith_short_16","alias_value":"5HTW7O35C7QZ2AZU","created_at":"2026-05-26T01:03:48Z"},{"alias_kind":"pith_short_8","alias_value":"5HTW7O35","created_at":"2026-05-26T01:03:48Z"}],"graph_snapshots":[{"event_id":"sha256:1a967a584573118e8fc8569e8fcdf0c767b6cdef972e3c558e78b8a6718fd79b","target":"graph","created_at":"2026-05-26T01:03:48Z","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/2605.24603/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A sparse 8-layer code transformer develops dedicated neural circuitry for every Python construct tested, and that circuitry is organised by a clean computational principle rather than by semantic category. We extract neural circuits for 106 concepts (43 AST node types, 63 builtin objects) by marginalising across 63,800 controlled prompts, and decompose each circuit into concept-specific and token-driven components using contrastive checker prompts that present a keyword token without its associated syntactic structure. Three findings emerge. First, all 106 concepts produce non-empty universal ","authors_text":"Piotr Wilam","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T14:40:07Z","title":"CSP-Atlas: Concept-Specific Neural Circuits in a Sparse Python Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24603","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":"sha256:87296772eb0d5dc514c49e9461773b1364bb8679038ac326daac899ad8c25346","target":"record","created_at":"2026-05-26T01:03:48Z","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":"f6f414b7e1a39e783f143a9978ab1661843eb1419a11aad55b168c53de046861","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-23T14:40:07Z","title_canon_sha256":"4b930f6f569b7011ee9631882d44bbd0edd48ab19c60e83ce4456573777462dc"},"schema_version":"1.0","source":{"id":"2605.24603","kind":"arxiv","version":1}},"canonical_sha256":"e9e76fbb7d17e19d0334ffb1bb9154fa315fe69d4f3e0ffc7d4f50f0931f2ee1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e9e76fbb7d17e19d0334ffb1bb9154fa315fe69d4f3e0ffc7d4f50f0931f2ee1","first_computed_at":"2026-05-26T01:03:48.526943Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:48.526943Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MZOkS9TOShKd5eHgi3wwIVzEIbILs+/ScHnXLyCZ0I6xxYPAIVbwp4x0f6FFPpRyrGtvL9h+LPylr5Zz0rCBBQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:48.527813Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24603","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:87296772eb0d5dc514c49e9461773b1364bb8679038ac326daac899ad8c25346","sha256:1a967a584573118e8fc8569e8fcdf0c767b6cdef972e3c558e78b8a6718fd79b"],"state_sha256":"756724e7dd0ed8f170f93eb0321baf5ec148c89273cef386c758891434393620"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Is8J5bVCGLelu2aJEfxWG76rCVtjSjEojGg3bcUeUNzli7EzYKGeBh9PuriSppT2PqFC840dU9n+CCvjX5/8Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T11:51:18.008562Z","bundle_sha256":"cc4f8bacca56fd42aa91b49a7dd1a8229b49b7f23cc3cdb804ea0fbf0408a3e9"}}