{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EGJNKZV27LDJRNWQUWX7AFFH2S","short_pith_number":"pith:EGJNKZV2","canonical_record":{"source":{"id":"2402.01761","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-30T17:38:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6c30d396948cc32641645992aa92f07cca4fa3a2088d574b8ecd7c94d8394274","abstract_canon_sha256":"7c6e58d5dea5d4f899c95712733f3a3e5c925ce3a52488f02cbc253a81d94444"},"schema_version":"1.0"},"canonical_sha256":"2192d566bafac698b6d0a5aff014a7d4ae48b93695d249340926de3e8ecea100","source":{"kind":"arxiv","id":"2402.01761","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01761","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01761v1","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01761","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"pith_short_12","alias_value":"EGJNKZV27LDJ","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"pith_short_16","alias_value":"EGJNKZV27LDJRNWQ","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"pith_short_8","alias_value":"EGJNKZV2","created_at":"2026-07-05T07:41:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EGJNKZV27LDJRNWQUWX7AFFH2S","target":"record","payload":{"canonical_record":{"source":{"id":"2402.01761","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-30T17:38:54Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"6c30d396948cc32641645992aa92f07cca4fa3a2088d574b8ecd7c94d8394274","abstract_canon_sha256":"7c6e58d5dea5d4f899c95712733f3a3e5c925ce3a52488f02cbc253a81d94444"},"schema_version":"1.0"},"canonical_sha256":"2192d566bafac698b6d0a5aff014a7d4ae48b93695d249340926de3e8ecea100","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:41:06.405826Z","signature_b64":"bQ4IBELWw8GvHz6fxueuPrx+t+zdk/qJ4Wro9NmCsd2anLDCRSBsr9Ih0w5KdOp1Kv+rp2kpPXGVtOZyYp4LAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2192d566bafac698b6d0a5aff014a7d4ae48b93695d249340926de3e8ecea100","last_reissued_at":"2026-07-05T07:41:06.405325Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:41:06.405325Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.01761","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":"2026-07-05T07:41:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mEDbIsQrL/i5AKs1+rh8ObSeplsbvmxZawlT9bJhl0PaYnMy2ltedkRHDB+A0/gyWrxRg6+47FGs1Zptun1ADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:08:23.298966Z"},"content_sha256":"b08967a7e6bca1387385736a448c1329c3922d83e0206add93a4411d8faa69bb","schema_version":"1.0","event_id":"sha256:b08967a7e6bca1387385736a448c1329c3922d83e0206add93a4411d8faa69bb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EGJNKZV27LDJRNWQUWX7AFFH2S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rethinking Interpretability in the Era of Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Chandan Singh, Jeevana Priya Inala, Jianfeng Gao, Michel Galley, Rich Caruana","submitted_at":"2024-01-30T17:38:54Z","abstract_excerpt":"Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously, large language models (LLMs) have demonstrated remarkable capabilities across a wide array of tasks, offering a chance to rethink opportunities in interpretable machine learning. Notably, the capability to explain in natural language allows LLMs to expand the scale and complexity of patterns that can be given to a human. However, these new capabilities raise new challenges, such as hallucinated explanations and imm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01761","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/2402.01761/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":"2026-07-05T07:41:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6pvdN+ai9TyBryFJhe12cUl5y/fS7fScbHvoicBm2jn2ZLoeJlvsEZn8lS4xvh6HT9vckW6GsElNZ2bSF0qtCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T14:08:23.300027Z"},"content_sha256":"50ca88d93a92a55a1f9d195b0eeeaab1b6c3cd25e0725688cddf25d7afc5b141","schema_version":"1.0","event_id":"sha256:50ca88d93a92a55a1f9d195b0eeeaab1b6c3cd25e0725688cddf25d7afc5b141"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EGJNKZV27LDJRNWQUWX7AFFH2S/bundle.json","state_url":"https://pith.science/pith/EGJNKZV27LDJRNWQUWX7AFFH2S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EGJNKZV27LDJRNWQUWX7AFFH2S/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":"2026-08-10T14:08:23Z","links":{"resolver":"https://pith.science/pith/EGJNKZV27LDJRNWQUWX7AFFH2S","bundle":"https://pith.science/pith/EGJNKZV27LDJRNWQUWX7AFFH2S/bundle.json","state":"https://pith.science/pith/EGJNKZV27LDJRNWQUWX7AFFH2S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EGJNKZV27LDJRNWQUWX7AFFH2S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EGJNKZV27LDJRNWQUWX7AFFH2S","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":"7c6e58d5dea5d4f899c95712733f3a3e5c925ce3a52488f02cbc253a81d94444","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-30T17:38:54Z","title_canon_sha256":"6c30d396948cc32641645992aa92f07cca4fa3a2088d574b8ecd7c94d8394274"},"schema_version":"1.0","source":{"id":"2402.01761","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01761","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01761v1","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01761","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"pith_short_12","alias_value":"EGJNKZV27LDJ","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"pith_short_16","alias_value":"EGJNKZV27LDJRNWQ","created_at":"2026-07-05T07:41:06Z"},{"alias_kind":"pith_short_8","alias_value":"EGJNKZV2","created_at":"2026-07-05T07:41:06Z"}],"graph_snapshots":[{"event_id":"sha256:50ca88d93a92a55a1f9d195b0eeeaab1b6c3cd25e0725688cddf25d7afc5b141","target":"graph","created_at":"2026-07-05T07:41:06Z","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/2402.01761/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously, large language models (LLMs) have demonstrated remarkable capabilities across a wide array of tasks, offering a chance to rethink opportunities in interpretable machine learning. Notably, the capability to explain in natural language allows LLMs to expand the scale and complexity of patterns that can be given to a human. However, these new capabilities raise new challenges, such as hallucinated explanations and imm","authors_text":"Chandan Singh, Jeevana Priya Inala, Jianfeng Gao, Michel Galley, Rich Caruana","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-30T17:38:54Z","title":"Rethinking Interpretability in the Era of Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01761","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:b08967a7e6bca1387385736a448c1329c3922d83e0206add93a4411d8faa69bb","target":"record","created_at":"2026-07-05T07:41:06Z","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":"7c6e58d5dea5d4f899c95712733f3a3e5c925ce3a52488f02cbc253a81d94444","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-30T17:38:54Z","title_canon_sha256":"6c30d396948cc32641645992aa92f07cca4fa3a2088d574b8ecd7c94d8394274"},"schema_version":"1.0","source":{"id":"2402.01761","kind":"arxiv","version":1}},"canonical_sha256":"2192d566bafac698b6d0a5aff014a7d4ae48b93695d249340926de3e8ecea100","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2192d566bafac698b6d0a5aff014a7d4ae48b93695d249340926de3e8ecea100","first_computed_at":"2026-07-05T07:41:06.405325Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:41:06.405325Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bQ4IBELWw8GvHz6fxueuPrx+t+zdk/qJ4Wro9NmCsd2anLDCRSBsr9Ih0w5KdOp1Kv+rp2kpPXGVtOZyYp4LAw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:41:06.405826Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.01761","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b08967a7e6bca1387385736a448c1329c3922d83e0206add93a4411d8faa69bb","sha256:50ca88d93a92a55a1f9d195b0eeeaab1b6c3cd25e0725688cddf25d7afc5b141"],"state_sha256":"d7a9a08cae7c902b2a008d9a2f554a5aa090c4d67eae4c3bddedbd75d5394e62"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y6IdAojZXzh5grQcNrB1LG80YKJhNT1l305plHljqi/bfxeAdlbgoFFYUb8v4CcvJJOChq9CCzL/jMSypaxaBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T14:08:23.305521Z","bundle_sha256":"d53e5c254af437c9d6921bdef8c00a254e96ad233847737d4fe1908481873de6"}}