{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SPCOZ5WANYK6L6LD5XPD3NC3XG","short_pith_number":"pith:SPCOZ5WA","canonical_record":{"source":{"id":"2506.11613","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T09:34:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a7410862830f1c8bad046732868f004710db2d7090d25e4b0796f1051bbf4653","abstract_canon_sha256":"382026ece93bd183bf85be064a11154cf55778cf8013876033d4a15024c0064a"},"schema_version":"1.0"},"canonical_sha256":"93c4ecf6c06e15e5f963edde3db45bb9944c355a655e523076edcf9196ebf274","source":{"kind":"arxiv","id":"2506.11613","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11613","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11613v1","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11613","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"pith_short_12","alias_value":"SPCOZ5WANYK6","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"pith_short_16","alias_value":"SPCOZ5WANYK6L6LD","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"pith_short_8","alias_value":"SPCOZ5WA","created_at":"2026-07-05T11:21:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SPCOZ5WANYK6L6LD5XPD3NC3XG","target":"record","payload":{"canonical_record":{"source":{"id":"2506.11613","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T09:34:25Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"a7410862830f1c8bad046732868f004710db2d7090d25e4b0796f1051bbf4653","abstract_canon_sha256":"382026ece93bd183bf85be064a11154cf55778cf8013876033d4a15024c0064a"},"schema_version":"1.0"},"canonical_sha256":"93c4ecf6c06e15e5f963edde3db45bb9944c355a655e523076edcf9196ebf274","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:07.668166Z","signature_b64":"5VRfuaCE9QyCfD82dS4qu+c60NU+obiFvbJeMG4zGs2For4Uod06waOwdVc86lVMkh1W4f0vXsRTY8vgrySTBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"93c4ecf6c06e15e5f963edde3db45bb9944c355a655e523076edcf9196ebf274","last_reissued_at":"2026-07-05T11:21:07.667709Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:07.667709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.11613","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":"2026-07-05T11:21:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZC/AQwp2kjm5zierzovSd24E33AG6d6J6lARhqvuMBBWjKuMtSKhKrxbjAhBauhImqlBWxlJG1raJbk3JcZSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:42:04.686265Z"},"content_sha256":"e05f60748b8a581c60dea8e696fcf074d7e5127366c8e2d04be839a30cd27034","schema_version":"1.0","event_id":"sha256:e05f60748b8a581c60dea8e696fcf074d7e5127366c8e2d04be839a30cd27034"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SPCOZ5WANYK6L6LD5XPD3NC3XG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model Organisms for Emergent Misalignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Anna Soligo, Edward Turner, Mia Taylor, Neel Nanda, Senthooran Rajamanoharan","submitted_at":"2025-06-13T09:34:25Z","abstract_excerpt":"Recent work discovered Emergent Misalignment (EM): fine-tuning large language models on narrowly harmful datasets can lead them to become broadly misaligned. A survey of experts prior to publication revealed this was highly unexpected, demonstrating critical gaps in our understanding of model alignment. In this work, we both advance understanding and provide tools for future research. Using new narrowly misaligned datasets, we create a set of improved model organisms that achieve 99% coherence (vs. 67% prior), work with smaller 0.5B parameter models (vs. 32B), and that induce misalignment usin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11613","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/2506.11613/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":"2026-07-05T11:21:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ikEW3QHD/IzZ6QzZGNW+vDazqBHrkMK+buqdyt7Sb3EKWtz3TaOPOgsL1KSICyKErPtRRnb5OjuPbfsLV1L2Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T12:42:04.687076Z"},"content_sha256":"9f702b26ce11313deaf4109004cd0afed92b2967dfd116fa535b631c2c41c472","schema_version":"1.0","event_id":"sha256:9f702b26ce11313deaf4109004cd0afed92b2967dfd116fa535b631c2c41c472"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG/bundle.json","state_url":"https://pith.science/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG/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":"2026-08-07T12:42:04Z","links":{"resolver":"https://pith.science/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG","bundle":"https://pith.science/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG/bundle.json","state":"https://pith.science/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SPCOZ5WANYK6L6LD5XPD3NC3XG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SPCOZ5WANYK6L6LD5XPD3NC3XG","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":"382026ece93bd183bf85be064a11154cf55778cf8013876033d4a15024c0064a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T09:34:25Z","title_canon_sha256":"a7410862830f1c8bad046732868f004710db2d7090d25e4b0796f1051bbf4653"},"schema_version":"1.0","source":{"id":"2506.11613","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.11613","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"arxiv_version","alias_value":"2506.11613v1","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11613","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"pith_short_12","alias_value":"SPCOZ5WANYK6","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"pith_short_16","alias_value":"SPCOZ5WANYK6L6LD","created_at":"2026-07-05T11:21:07Z"},{"alias_kind":"pith_short_8","alias_value":"SPCOZ5WA","created_at":"2026-07-05T11:21:07Z"}],"graph_snapshots":[{"event_id":"sha256:9f702b26ce11313deaf4109004cd0afed92b2967dfd116fa535b631c2c41c472","target":"graph","created_at":"2026-07-05T11:21:07Z","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/2506.11613/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent work discovered Emergent Misalignment (EM): fine-tuning large language models on narrowly harmful datasets can lead them to become broadly misaligned. A survey of experts prior to publication revealed this was highly unexpected, demonstrating critical gaps in our understanding of model alignment. In this work, we both advance understanding and provide tools for future research. Using new narrowly misaligned datasets, we create a set of improved model organisms that achieve 99% coherence (vs. 67% prior), work with smaller 0.5B parameter models (vs. 32B), and that induce misalignment usin","authors_text":"Anna Soligo, Edward Turner, Mia Taylor, Neel Nanda, Senthooran Rajamanoharan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T09:34:25Z","title":"Model Organisms for Emergent Misalignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11613","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:e05f60748b8a581c60dea8e696fcf074d7e5127366c8e2d04be839a30cd27034","target":"record","created_at":"2026-07-05T11:21:07Z","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":"382026ece93bd183bf85be064a11154cf55778cf8013876033d4a15024c0064a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-06-13T09:34:25Z","title_canon_sha256":"a7410862830f1c8bad046732868f004710db2d7090d25e4b0796f1051bbf4653"},"schema_version":"1.0","source":{"id":"2506.11613","kind":"arxiv","version":1}},"canonical_sha256":"93c4ecf6c06e15e5f963edde3db45bb9944c355a655e523076edcf9196ebf274","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"93c4ecf6c06e15e5f963edde3db45bb9944c355a655e523076edcf9196ebf274","first_computed_at":"2026-07-05T11:21:07.667709Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:21:07.667709Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5VRfuaCE9QyCfD82dS4qu+c60NU+obiFvbJeMG4zGs2For4Uod06waOwdVc86lVMkh1W4f0vXsRTY8vgrySTBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:21:07.668166Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.11613","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e05f60748b8a581c60dea8e696fcf074d7e5127366c8e2d04be839a30cd27034","sha256:9f702b26ce11313deaf4109004cd0afed92b2967dfd116fa535b631c2c41c472"],"state_sha256":"aa85c3c0c9013e84682892d74d33edeced0d21e377db1e6afca130cc78504a73"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wH90kkM4dGJVY26EV0plHW/FB4pIZiM+l6A6rtMSi6PHjTUDqBiAHghKxVSKvfIvH24HQWsmulEmRBr/4JldDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T12:42:04.691692Z","bundle_sha256":"7978489e0f3ea103d677a710edb139e804369de3286e10bd2e1cc6306a840d76"}}