{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OH5ARHJQNHK2XZ4TJLIZFNPSKM","short_pith_number":"pith:OH5ARHJQ","canonical_record":{"source":{"id":"2505.16526","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T11:12:27Z","cross_cats_sorted":[],"title_canon_sha256":"7a35444b6324e65896dd071e370d9b2f4bcb9a0a46dc6a45d38a8c3e24693b5c","abstract_canon_sha256":"f8ad7a7b916d78099c938c9ee7322d00ea6ab3593eaca05a36e8114ce9d67baf"},"schema_version":"1.0"},"canonical_sha256":"71fa089d3069d5abe7934ad192b5f2533e18d08ddb59a8000a7d5a98dc98b10a","source":{"kind":"arxiv","id":"2505.16526","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16526","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16526v1","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16526","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"OH5ARHJQNHK2","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"OH5ARHJQNHK2XZ4T","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"OH5ARHJQ","created_at":"2026-07-05T11:07:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OH5ARHJQNHK2XZ4TJLIZFNPSKM","target":"record","payload":{"canonical_record":{"source":{"id":"2505.16526","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T11:12:27Z","cross_cats_sorted":[],"title_canon_sha256":"7a35444b6324e65896dd071e370d9b2f4bcb9a0a46dc6a45d38a8c3e24693b5c","abstract_canon_sha256":"f8ad7a7b916d78099c938c9ee7322d00ea6ab3593eaca05a36e8114ce9d67baf"},"schema_version":"1.0"},"canonical_sha256":"71fa089d3069d5abe7934ad192b5f2533e18d08ddb59a8000a7d5a98dc98b10a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:36.913368Z","signature_b64":"F9O0D9FZZkEljnQ3ZKCeb6NlVnq2t3PzBNgyWqdlbI6Rdpmn50VBJpZKDnZqthAcLmJSVg6eHO2fiXQ4ixrOCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71fa089d3069d5abe7934ad192b5f2533e18d08ddb59a8000a7d5a98dc98b10a","last_reissued_at":"2026-07-05T11:07:36.912868Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:36.912868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.16526","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":"2026-07-05T11:07:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0l21W+/qmX4L31/aXtHWCz6Mac2RNC5E+4NkDu9cYdm74LwSq7d6kQS/QpWmzfYpOD7XaRA0mqK/EhAwPLRJAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T11:14:18.556148Z"},"content_sha256":"df1316e11bc35bfd8b2dc17e294bb6fbd6fab64372cf975a27e68d84262b3078","schema_version":"1.0","event_id":"sha256:df1316e11bc35bfd8b2dc17e294bb6fbd6fab64372cf975a27e68d84262b3078"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OH5ARHJQNHK2XZ4TJLIZFNPSKM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Deokhyung Kang, Gary Geunbae Lee, Heejae Suh, Taehee Park, Yejin Jeon, Yejin Min","submitted_at":"2025-05-22T11:12:27Z","abstract_excerpt":"Small large language models (sLLMs) offer the advantage of being lightweight and efficient, which makes them suitable for resource-constrained environments. However, sLLMs often struggle to maintain topic consistency in task-oriented dialogue systems, which is critical for scenarios such as service chatbots. Specifically, it is important to ensure that the model denies off-topic or malicious inputs and adheres to its intended functionality so as to prevent potential misuse and uphold reliability. Towards this, existing activation engineering approaches have been proposed to manipulate internal"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16526","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/2505.16526/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":"2026-07-05T11:07:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9CEp7Wn+Odj2GA8pG1nNx0AQERTK3XZ1mPssQr5lWACSG7OIeT8VP+aq0xRHVikDjmRFfzVde+IAIMRmyfDXDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T11:14:18.556663Z"},"content_sha256":"730a38d0e9481c58ddb12f25d5350389c9df5ee5b8eb3cd5a312036390e56cc2","schema_version":"1.0","event_id":"sha256:730a38d0e9481c58ddb12f25d5350389c9df5ee5b8eb3cd5a312036390e56cc2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM/bundle.json","state_url":"https://pith.science/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM/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":"2026-08-19T11:14:18Z","links":{"resolver":"https://pith.science/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM","bundle":"https://pith.science/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM/bundle.json","state":"https://pith.science/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OH5ARHJQNHK2XZ4TJLIZFNPSKM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OH5ARHJQNHK2XZ4TJLIZFNPSKM","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":"f8ad7a7b916d78099c938c9ee7322d00ea6ab3593eaca05a36e8114ce9d67baf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T11:12:27Z","title_canon_sha256":"7a35444b6324e65896dd071e370d9b2f4bcb9a0a46dc6a45d38a8c3e24693b5c"},"schema_version":"1.0","source":{"id":"2505.16526","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.16526","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"arxiv_version","alias_value":"2505.16526v1","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.16526","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_12","alias_value":"OH5ARHJQNHK2","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_16","alias_value":"OH5ARHJQNHK2XZ4T","created_at":"2026-07-05T11:07:36Z"},{"alias_kind":"pith_short_8","alias_value":"OH5ARHJQ","created_at":"2026-07-05T11:07:36Z"}],"graph_snapshots":[{"event_id":"sha256:730a38d0e9481c58ddb12f25d5350389c9df5ee5b8eb3cd5a312036390e56cc2","target":"graph","created_at":"2026-07-05T11:07:36Z","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/2505.16526/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Small large language models (sLLMs) offer the advantage of being lightweight and efficient, which makes them suitable for resource-constrained environments. However, sLLMs often struggle to maintain topic consistency in task-oriented dialogue systems, which is critical for scenarios such as service chatbots. Specifically, it is important to ensure that the model denies off-topic or malicious inputs and adheres to its intended functionality so as to prevent potential misuse and uphold reliability. Towards this, existing activation engineering approaches have been proposed to manipulate internal","authors_text":"Deokhyung Kang, Gary Geunbae Lee, Heejae Suh, Taehee Park, Yejin Jeon, Yejin Min","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T11:12:27Z","title":"EnSToM: Enhancing Dialogue Systems with Entropy-Scaled Steering Vectors for Topic Maintenance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.16526","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:df1316e11bc35bfd8b2dc17e294bb6fbd6fab64372cf975a27e68d84262b3078","target":"record","created_at":"2026-07-05T11:07:36Z","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":"f8ad7a7b916d78099c938c9ee7322d00ea6ab3593eaca05a36e8114ce9d67baf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-22T11:12:27Z","title_canon_sha256":"7a35444b6324e65896dd071e370d9b2f4bcb9a0a46dc6a45d38a8c3e24693b5c"},"schema_version":"1.0","source":{"id":"2505.16526","kind":"arxiv","version":1}},"canonical_sha256":"71fa089d3069d5abe7934ad192b5f2533e18d08ddb59a8000a7d5a98dc98b10a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71fa089d3069d5abe7934ad192b5f2533e18d08ddb59a8000a7d5a98dc98b10a","first_computed_at":"2026-07-05T11:07:36.912868Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:36.912868Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F9O0D9FZZkEljnQ3ZKCeb6NlVnq2t3PzBNgyWqdlbI6Rdpmn50VBJpZKDnZqthAcLmJSVg6eHO2fiXQ4ixrOCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:36.913368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.16526","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:df1316e11bc35bfd8b2dc17e294bb6fbd6fab64372cf975a27e68d84262b3078","sha256:730a38d0e9481c58ddb12f25d5350389c9df5ee5b8eb3cd5a312036390e56cc2"],"state_sha256":"892a63ed580f42072530b50a22c4ff2058b15645d039d512f2be0330f4eacd3e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ibiylndoLz2Y6fOVI4EUK6J9k7Ni1rH99I9wA+h74ngWIeSeSYsOhh3Ly1YzZYyYn2LhaAe1Ig1Tcx4iv4cbBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T11:14:18.562751Z","bundle_sha256":"8479b4b66e75e59d57573e2d749f483fb764415230501c362397183cf7d6308f"}}