{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:5ORDJC5NTSXAHUQYEE3F3WD7LP","short_pith_number":"pith:5ORDJC5N","canonical_record":{"source":{"id":"2402.01702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-24T17:57:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"70fc6b85de45ddabadccc9a75aacd0f1092b9e05e93e8e3099a91eb1cf1c9e4d","abstract_canon_sha256":"86fbfa17d002df742fcdd7d94db5de252d643cb23e63588f5dc49b9b9689ce33"},"schema_version":"1.0"},"canonical_sha256":"eba2348bad9cae03d21821365dd87f5bc2d284e6e7348b48e5027ce46a6f0101","source":{"kind":"arxiv","id":"2402.01702","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01702","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01702v1","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01702","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"pith_short_12","alias_value":"5ORDJC5NTSXA","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"pith_short_16","alias_value":"5ORDJC5NTSXAHUQY","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"pith_short_8","alias_value":"5ORDJC5N","created_at":"2026-07-05T07:41:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:5ORDJC5NTSXAHUQYEE3F3WD7LP","target":"record","payload":{"canonical_record":{"source":{"id":"2402.01702","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-24T17:57:12Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"70fc6b85de45ddabadccc9a75aacd0f1092b9e05e93e8e3099a91eb1cf1c9e4d","abstract_canon_sha256":"86fbfa17d002df742fcdd7d94db5de252d643cb23e63588f5dc49b9b9689ce33"},"schema_version":"1.0"},"canonical_sha256":"eba2348bad9cae03d21821365dd87f5bc2d284e6e7348b48e5027ce46a6f0101","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:41:05.355133Z","signature_b64":"KCgZMB1MS86Dn/nfVaAe1HMm95yWiij5KFjWLk6Bp9oDFXUq6K8VEv3I4R3UfZ8YhWt70zRp77xL+rosk/w/Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eba2348bad9cae03d21821365dd87f5bc2d284e6e7348b48e5027ce46a6f0101","last_reissued_at":"2026-07-05T07:41:05.354613Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:41:05.354613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.01702","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":"2026-07-05T07:41:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"27LNy7qshw3brdQBmMovF0mZh1z9OiwTEDdyUTDWs87WdcVNS8nmQVX6mXJevkY4K2xyGxvFGl28zWcIDpG4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T18:11:59.982687Z"},"content_sha256":"f7d4095931e75227b793861b95a3733c562a914af7d6082a90cc713fbf3f2bc6","schema_version":"1.0","event_id":"sha256:f7d4095931e75227b793861b95a3733c562a914af7d6082a90cc713fbf3f2bc6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:5ORDJC5NTSXAHUQYEE3F3WD7LP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fluent dreaming for language models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Michael Sklar (1) ((1) Confirm Labs), T. Ben Thompson (1), Zygimantas Straznickas (1)","submitted_at":"2024-01-24T17:57:12Z","abstract_excerpt":"Feature visualization, also known as \"dreaming\", offers insights into vision models by optimizing the inputs to maximize a neuron's activation or other internal component. However, dreaming has not been successfully applied to language models because the input space is discrete. We extend Greedy Coordinate Gradient, a method from the language model adversarial attack literature, to design the Evolutionary Prompt Optimization (EPO) algorithm. EPO optimizes the input prompt to simultaneously maximize the Pareto frontier between a chosen internal feature and prompt fluency, enabling fluent dreami"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01702","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/2402.01702/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":"2026-07-05T07:41:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+dGLqU/Op6Nhfdd4WoH5kprqCBDNuBKtMaLBjekl81KPMEJFOoPqbKHd7aIx3VfyAGL/mtfamhr+SxeBl6o/Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-01T18:11:59.983281Z"},"content_sha256":"893212fe4524c07c03e3cdf3231e0d8f7dc390954b1ac8da11e09e13c162ef89","schema_version":"1.0","event_id":"sha256:893212fe4524c07c03e3cdf3231e0d8f7dc390954b1ac8da11e09e13c162ef89"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP/bundle.json","state_url":"https://pith.science/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP/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":"2026-08-01T18:11:59Z","links":{"resolver":"https://pith.science/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP","bundle":"https://pith.science/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP/bundle.json","state":"https://pith.science/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5ORDJC5NTSXAHUQYEE3F3WD7LP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5ORDJC5NTSXAHUQYEE3F3WD7LP","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":"86fbfa17d002df742fcdd7d94db5de252d643cb23e63588f5dc49b9b9689ce33","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-24T17:57:12Z","title_canon_sha256":"70fc6b85de45ddabadccc9a75aacd0f1092b9e05e93e8e3099a91eb1cf1c9e4d"},"schema_version":"1.0","source":{"id":"2402.01702","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.01702","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"arxiv_version","alias_value":"2402.01702v1","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.01702","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"pith_short_12","alias_value":"5ORDJC5NTSXA","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"pith_short_16","alias_value":"5ORDJC5NTSXAHUQY","created_at":"2026-07-05T07:41:05Z"},{"alias_kind":"pith_short_8","alias_value":"5ORDJC5N","created_at":"2026-07-05T07:41:05Z"}],"graph_snapshots":[{"event_id":"sha256:893212fe4524c07c03e3cdf3231e0d8f7dc390954b1ac8da11e09e13c162ef89","target":"graph","created_at":"2026-07-05T07:41:05Z","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/2402.01702/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature visualization, also known as \"dreaming\", offers insights into vision models by optimizing the inputs to maximize a neuron's activation or other internal component. However, dreaming has not been successfully applied to language models because the input space is discrete. We extend Greedy Coordinate Gradient, a method from the language model adversarial attack literature, to design the Evolutionary Prompt Optimization (EPO) algorithm. EPO optimizes the input prompt to simultaneously maximize the Pareto frontier between a chosen internal feature and prompt fluency, enabling fluent dreami","authors_text":"Michael Sklar (1) ((1) Confirm Labs), T. Ben Thompson (1), Zygimantas Straznickas (1)","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-24T17:57:12Z","title":"Fluent dreaming for language models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.01702","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:f7d4095931e75227b793861b95a3733c562a914af7d6082a90cc713fbf3f2bc6","target":"record","created_at":"2026-07-05T07:41:05Z","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":"86fbfa17d002df742fcdd7d94db5de252d643cb23e63588f5dc49b9b9689ce33","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-01-24T17:57:12Z","title_canon_sha256":"70fc6b85de45ddabadccc9a75aacd0f1092b9e05e93e8e3099a91eb1cf1c9e4d"},"schema_version":"1.0","source":{"id":"2402.01702","kind":"arxiv","version":1}},"canonical_sha256":"eba2348bad9cae03d21821365dd87f5bc2d284e6e7348b48e5027ce46a6f0101","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eba2348bad9cae03d21821365dd87f5bc2d284e6e7348b48e5027ce46a6f0101","first_computed_at":"2026-07-05T07:41:05.354613Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:41:05.354613Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KCgZMB1MS86Dn/nfVaAe1HMm95yWiij5KFjWLk6Bp9oDFXUq6K8VEv3I4R3UfZ8YhWt70zRp77xL+rosk/w/Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T07:41:05.355133Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.01702","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f7d4095931e75227b793861b95a3733c562a914af7d6082a90cc713fbf3f2bc6","sha256:893212fe4524c07c03e3cdf3231e0d8f7dc390954b1ac8da11e09e13c162ef89"],"state_sha256":"ec01ce8edeebe9baf2f70b74917a0833a849b41ea052fd8514380c860f0517ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+l7gZCbA4wzI7j2ntoNrhOR3lMFLuW1lY4YjN0qVDwAjBnrGGx9LuAWoxytWDMfQqzVEUJ54G0yT2AeMQH/2Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-01T18:11:59.988976Z","bundle_sha256":"8a5c6738d769b30d54933af062b30cfa782ab6fb28b6d6cef0fb62faead4e9fd"}}