{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:YL3DIKOLUSUE4J3VS37ZJLVX2L","short_pith_number":"pith:YL3DIKOL","canonical_record":{"source":{"id":"2402.10453","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T05:03:01Z","cross_cats_sorted":[],"title_canon_sha256":"82a9d56c23cfd4d856f303a9143ec4b2ec967ca68a5359c79a2147f1a140c26d","abstract_canon_sha256":"a127d3922f2f2c1ca9207e4dd3583b6b475eae2e1f17c881f7aaf345a3a7e621"},"schema_version":"1.0"},"canonical_sha256":"c2f63429cba4a84e277596ff94aeb7d2f63cca8859e6194c0375c7602ee05f0d","source":{"kind":"arxiv","id":"2402.10453","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10453","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10453v2","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10453","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_12","alias_value":"YL3DIKOLUSUE","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_16","alias_value":"YL3DIKOLUSUE4J3V","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_8","alias_value":"YL3DIKOL","created_at":"2026-07-05T09:06:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:YL3DIKOLUSUE4J3VS37ZJLVX2L","target":"record","payload":{"canonical_record":{"source":{"id":"2402.10453","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T05:03:01Z","cross_cats_sorted":[],"title_canon_sha256":"82a9d56c23cfd4d856f303a9143ec4b2ec967ca68a5359c79a2147f1a140c26d","abstract_canon_sha256":"a127d3922f2f2c1ca9207e4dd3583b6b475eae2e1f17c881f7aaf345a3a7e621"},"schema_version":"1.0"},"canonical_sha256":"c2f63429cba4a84e277596ff94aeb7d2f63cca8859e6194c0375c7602ee05f0d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:06:57.417120Z","signature_b64":"AQJRVocdAnXbuWz7/NITvOSVthCkc59KdcoHEwxEFTbXgPtda/ZxhwfWCuXpCq7+ZzDjginLi8HOQt7MlLUDAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2f63429cba4a84e277596ff94aeb7d2f63cca8859e6194c0375c7602ee05f0d","last_reissued_at":"2026-07-05T09:06:57.416662Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:06:57.416662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.10453","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:06:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cs0inhVIdTSwBxunRUljB93BugINdIZGUhJLxN+++Tn1TW2sUEaEIDChQ7HK6sWtPbVqkoBSdMVmsSW5Et/vDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:45:18.940842Z"},"content_sha256":"651c47892ab61b52b4122281b5b9da15595a0d3bf0be49092dd1f7e8cba543bf","schema_version":"1.0","event_id":"sha256:651c47892ab61b52b4122281b5b9da15595a0d3bf0be49092dd1f7e8cba543bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:YL3DIKOLUSUE4J3VS37ZJLVX2L","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Steering Conversational Large Language Models for Long Emotional Support Conversations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Navid Madani, Rohini Srihari, Sougata Saha","submitted_at":"2024-02-16T05:03:01Z","abstract_excerpt":"In this study, we address the challenge of enabling large language models (LLMs) to consistently adhere to emotional support strategies in extended conversations. We focus on the steerability of the Llama-2 and Llama-3 suite of models, examining their ability to maintain these strategies throughout interactions. To assess this, we introduce the Strategy Relevant Attention (SRA) metric, which quantifies the model's adherence to the prompted strategy through attention maps. To facilitate our study, we create a strategy-conditioned synthetic conversational dataset derived from the ESConv dataset."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10453","kind":"arxiv","version":2},"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/2402.10453/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":"2026-07-05T09:06:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uqMEX1xu72jrV1rBpGD7EoJSsFjqoytZXDshjhfOD1kKXjqt/MowaY3Di0jNqNKC6ExADG1Xzn5zQBsoGJMACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T01:45:18.941865Z"},"content_sha256":"d8fb8cff431cf245fad83050baaaed1246d586ae45d3f20ced68b6ff5c01d71c","schema_version":"1.0","event_id":"sha256:d8fb8cff431cf245fad83050baaaed1246d586ae45d3f20ced68b6ff5c01d71c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L/bundle.json","state_url":"https://pith.science/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L/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":"2026-08-06T01:45:18Z","links":{"resolver":"https://pith.science/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L","bundle":"https://pith.science/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L/bundle.json","state":"https://pith.science/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YL3DIKOLUSUE4J3VS37ZJLVX2L/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:YL3DIKOLUSUE4J3VS37ZJLVX2L","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":"a127d3922f2f2c1ca9207e4dd3583b6b475eae2e1f17c881f7aaf345a3a7e621","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T05:03:01Z","title_canon_sha256":"82a9d56c23cfd4d856f303a9143ec4b2ec967ca68a5359c79a2147f1a140c26d"},"schema_version":"1.0","source":{"id":"2402.10453","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10453","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10453v2","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10453","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_12","alias_value":"YL3DIKOLUSUE","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_16","alias_value":"YL3DIKOLUSUE4J3V","created_at":"2026-07-05T09:06:57Z"},{"alias_kind":"pith_short_8","alias_value":"YL3DIKOL","created_at":"2026-07-05T09:06:57Z"}],"graph_snapshots":[{"event_id":"sha256:d8fb8cff431cf245fad83050baaaed1246d586ae45d3f20ced68b6ff5c01d71c","target":"graph","created_at":"2026-07-05T09:06:57Z","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/2402.10453/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this study, we address the challenge of enabling large language models (LLMs) to consistently adhere to emotional support strategies in extended conversations. We focus on the steerability of the Llama-2 and Llama-3 suite of models, examining their ability to maintain these strategies throughout interactions. To assess this, we introduce the Strategy Relevant Attention (SRA) metric, which quantifies the model's adherence to the prompted strategy through attention maps. To facilitate our study, we create a strategy-conditioned synthetic conversational dataset derived from the ESConv dataset.","authors_text":"Navid Madani, Rohini Srihari, Sougata Saha","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T05:03:01Z","title":"Steering Conversational Large Language Models for Long Emotional Support Conversations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10453","kind":"arxiv","version":2},"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":"sha256:651c47892ab61b52b4122281b5b9da15595a0d3bf0be49092dd1f7e8cba543bf","target":"record","created_at":"2026-07-05T09:06:57Z","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":"a127d3922f2f2c1ca9207e4dd3583b6b475eae2e1f17c881f7aaf345a3a7e621","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T05:03:01Z","title_canon_sha256":"82a9d56c23cfd4d856f303a9143ec4b2ec967ca68a5359c79a2147f1a140c26d"},"schema_version":"1.0","source":{"id":"2402.10453","kind":"arxiv","version":2}},"canonical_sha256":"c2f63429cba4a84e277596ff94aeb7d2f63cca8859e6194c0375c7602ee05f0d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c2f63429cba4a84e277596ff94aeb7d2f63cca8859e6194c0375c7602ee05f0d","first_computed_at":"2026-07-05T09:06:57.416662Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:57.416662Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AQJRVocdAnXbuWz7/NITvOSVthCkc59KdcoHEwxEFTbXgPtda/ZxhwfWCuXpCq7+ZzDjginLi8HOQt7MlLUDAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:57.417120Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10453","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:651c47892ab61b52b4122281b5b9da15595a0d3bf0be49092dd1f7e8cba543bf","sha256:d8fb8cff431cf245fad83050baaaed1246d586ae45d3f20ced68b6ff5c01d71c"],"state_sha256":"18460240987f30cb346157c9beb06a55625d8bcb174893a1ea89d87a224e40d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xYw+b6U8fvTQElUbSe0Ib8bSO0oORKoVnw9RucO3XenNxXIo/vOoB5hGejxbl68A6KtLPsLztyyOJhudzD3FCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T01:45:18.946853Z","bundle_sha256":"9a143d681fa7b29fc0803431a4b6f9e270a47bdc87135155048478e97177f98d"}}