{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SCGEUEGQNTI6KG35JEF2FIYKY3","short_pith_number":"pith:SCGEUEGQ","canonical_record":{"source":{"id":"2405.18217","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-28T14:20:49Z","cross_cats_sorted":[],"title_canon_sha256":"218f9840d977e0dc3e7bb769f59b681e5f5dd332edcb4ac452a2a2275e25b6ed","abstract_canon_sha256":"41a54b528e9ab1a6d7f6e0eeef0d6083a009a7604d4e096a54faef2ae1b91d59"},"schema_version":"1.0"},"canonical_sha256":"908c4a10d06cd1e51b7d490ba2a30ac6e7610b0fa262211aabeb97bba60686b7","source":{"kind":"arxiv","id":"2405.18217","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18217","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18217v1","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18217","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"pith_short_12","alias_value":"SCGEUEGQNTI6","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"pith_short_16","alias_value":"SCGEUEGQNTI6KG35","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"pith_short_8","alias_value":"SCGEUEGQ","created_at":"2026-07-05T08:24:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SCGEUEGQNTI6KG35JEF2FIYKY3","target":"record","payload":{"canonical_record":{"source":{"id":"2405.18217","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-28T14:20:49Z","cross_cats_sorted":[],"title_canon_sha256":"218f9840d977e0dc3e7bb769f59b681e5f5dd332edcb4ac452a2a2275e25b6ed","abstract_canon_sha256":"41a54b528e9ab1a6d7f6e0eeef0d6083a009a7604d4e096a54faef2ae1b91d59"},"schema_version":"1.0"},"canonical_sha256":"908c4a10d06cd1e51b7d490ba2a30ac6e7610b0fa262211aabeb97bba60686b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:24:17.297118Z","signature_b64":"uSW4r3Jmvigw13Y+ZD1lbP9KWRVGrG8aisAdYP67JGJ/2lIT2oxm14T9D4SpTCl10/2SI4US+Ga/bRF/WHdRDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"908c4a10d06cd1e51b7d490ba2a30ac6e7610b0fa262211aabeb97bba60686b7","last_reissued_at":"2026-07-05T08:24:17.296642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:24:17.296642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.18217","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":"2026-07-05T08:24:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o/Ha5Fq/5tN7f6kQXO+svshAgwGjahvV2+WSlHCfPwRVYZG2BZ2B0xSJd+JYCRWnCEbUZUPYCJp0DteBkD7eAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:13:04.427387Z"},"content_sha256":"6ef0d7d619660fff6f71513fcf2e23d7d8ae8148d65a3be719bef9f1819a442f","schema_version":"1.0","event_id":"sha256:6ef0d7d619660fff6f71513fcf2e23d7d8ae8148d65a3be719bef9f1819a442f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SCGEUEGQNTI6KG35JEF2FIYKY3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Understanding Inter-Concept Relationships in Concept-Based Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Mateja Jamnik, Mateo Espinosa Zarlenga, Naveen Raman","submitted_at":"2024-05-28T14:20:49Z","abstract_excerpt":"Concept-based explainability methods provide insight into deep learning systems by constructing explanations using human-understandable concepts. While the literature on human reasoning demonstrates that we exploit relationships between concepts when solving tasks, it is unclear whether concept-based methods incorporate the rich structure of inter-concept relationships. We analyse the concept representations learnt by concept-based models to understand whether these models correctly capture inter-concept relationships. First, we empirically demonstrate that state-of-the-art concept-based model"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18217","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/2405.18217/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":"2026-07-05T08:24:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zaylOfT6LdpjPbYJPfb3co/CdF8gnQXXcyj/dSjkugswNmOfLK25kXhmwOozJjCFZDdsFKq9hRldWH2J45I+Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T19:13:04.428252Z"},"content_sha256":"fa9d8230cffc972080d2c96446bdd28612b8ac27d6510644362568bb366e3f12","schema_version":"1.0","event_id":"sha256:fa9d8230cffc972080d2c96446bdd28612b8ac27d6510644362568bb366e3f12"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SCGEUEGQNTI6KG35JEF2FIYKY3/bundle.json","state_url":"https://pith.science/pith/SCGEUEGQNTI6KG35JEF2FIYKY3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SCGEUEGQNTI6KG35JEF2FIYKY3/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":"2026-08-09T19:13:04Z","links":{"resolver":"https://pith.science/pith/SCGEUEGQNTI6KG35JEF2FIYKY3","bundle":"https://pith.science/pith/SCGEUEGQNTI6KG35JEF2FIYKY3/bundle.json","state":"https://pith.science/pith/SCGEUEGQNTI6KG35JEF2FIYKY3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SCGEUEGQNTI6KG35JEF2FIYKY3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SCGEUEGQNTI6KG35JEF2FIYKY3","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":"41a54b528e9ab1a6d7f6e0eeef0d6083a009a7604d4e096a54faef2ae1b91d59","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-28T14:20:49Z","title_canon_sha256":"218f9840d977e0dc3e7bb769f59b681e5f5dd332edcb4ac452a2a2275e25b6ed"},"schema_version":"1.0","source":{"id":"2405.18217","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18217","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18217v1","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18217","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"pith_short_12","alias_value":"SCGEUEGQNTI6","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"pith_short_16","alias_value":"SCGEUEGQNTI6KG35","created_at":"2026-07-05T08:24:17Z"},{"alias_kind":"pith_short_8","alias_value":"SCGEUEGQ","created_at":"2026-07-05T08:24:17Z"}],"graph_snapshots":[{"event_id":"sha256:fa9d8230cffc972080d2c96446bdd28612b8ac27d6510644362568bb366e3f12","target":"graph","created_at":"2026-07-05T08:24:17Z","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/2405.18217/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Concept-based explainability methods provide insight into deep learning systems by constructing explanations using human-understandable concepts. While the literature on human reasoning demonstrates that we exploit relationships between concepts when solving tasks, it is unclear whether concept-based methods incorporate the rich structure of inter-concept relationships. We analyse the concept representations learnt by concept-based models to understand whether these models correctly capture inter-concept relationships. First, we empirically demonstrate that state-of-the-art concept-based model","authors_text":"Mateja Jamnik, Mateo Espinosa Zarlenga, Naveen Raman","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-28T14:20:49Z","title":"Understanding Inter-Concept Relationships in Concept-Based Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18217","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":"sha256:6ef0d7d619660fff6f71513fcf2e23d7d8ae8148d65a3be719bef9f1819a442f","target":"record","created_at":"2026-07-05T08:24:17Z","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":"41a54b528e9ab1a6d7f6e0eeef0d6083a009a7604d4e096a54faef2ae1b91d59","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-28T14:20:49Z","title_canon_sha256":"218f9840d977e0dc3e7bb769f59b681e5f5dd332edcb4ac452a2a2275e25b6ed"},"schema_version":"1.0","source":{"id":"2405.18217","kind":"arxiv","version":1}},"canonical_sha256":"908c4a10d06cd1e51b7d490ba2a30ac6e7610b0fa262211aabeb97bba60686b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"908c4a10d06cd1e51b7d490ba2a30ac6e7610b0fa262211aabeb97bba60686b7","first_computed_at":"2026-07-05T08:24:17.296642Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:17.296642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uSW4r3Jmvigw13Y+ZD1lbP9KWRVGrG8aisAdYP67JGJ/2lIT2oxm14T9D4SpTCl10/2SI4US+Ga/bRF/WHdRDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:17.297118Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.18217","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ef0d7d619660fff6f71513fcf2e23d7d8ae8148d65a3be719bef9f1819a442f","sha256:fa9d8230cffc972080d2c96446bdd28612b8ac27d6510644362568bb366e3f12"],"state_sha256":"cf45b7e7eae2c40af3fa05b3c72da1030f212da59bcbe46e29c3a34f1383ea06"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k0NK1YuR54Csvhzm3OoFxJv2fcJ77Q8trBix1dy2yJcQIMdImJLh/3UOsRu1zOyyJBW4nYm8M+8LSYtW5Ks4Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T19:13:04.434850Z","bundle_sha256":"a8f5aa7033249d9079149f386a8db16dec69c8d4a6297966536dc5f4a63cba9b"}}