{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LG2RZAUODQDVV3XDZTB7NZWYM5","short_pith_number":"pith:LG2RZAUO","canonical_record":{"source":{"id":"2509.05006","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T11:13:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"541e4031e8b649226b56d9a6fc08e8962a7152d6781c47690215a945534b954f","abstract_canon_sha256":"03329c2542b2dc12d988633ae45838df3f50a00555bdee26a7ee68a25808ae43"},"schema_version":"1.0"},"canonical_sha256":"59b51c828e1c075aeee3ccc3f6e6d867427dced25824d6728f46fef4755397bb","source":{"kind":"arxiv","id":"2509.05006","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05006","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05006v1","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05006","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"LG2RZAUODQDV","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"LG2RZAUODQDVV3XD","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"LG2RZAUO","created_at":"2026-07-05T12:05:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LG2RZAUODQDVV3XDZTB7NZWYM5","target":"record","payload":{"canonical_record":{"source":{"id":"2509.05006","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T11:13:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"541e4031e8b649226b56d9a6fc08e8962a7152d6781c47690215a945534b954f","abstract_canon_sha256":"03329c2542b2dc12d988633ae45838df3f50a00555bdee26a7ee68a25808ae43"},"schema_version":"1.0"},"canonical_sha256":"59b51c828e1c075aeee3ccc3f6e6d867427dced25824d6728f46fef4755397bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:34.363156Z","signature_b64":"AAYwF4MgWr2Yt2CICPbF/INfd3V6jVOC3NfYKoVOYPOyqv3P8jq7hl/vDHkafWbW5qmQzcgHQ+7JDxUIJRoCCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59b51c828e1c075aeee3ccc3f6e6d867427dced25824d6728f46fef4755397bb","last_reissued_at":"2026-07-05T12:05:34.362680Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:34.362680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.05006","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":"2026-07-05T12:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cSSOe6wN05Pw9KAFIS7m/EEcZzVBI4vSJ7IApxJETsWe8gg6bKRMj4ZDTY5SlupCiA85+vW/qHgEKRErN2MYDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T22:27:20.069725Z"},"content_sha256":"544912762866531e4407cb057a1711c9ae07e7f80a94af53268df3e72d399ca1","schema_version":"1.0","event_id":"sha256:544912762866531e4407cb057a1711c9ae07e7f80a94af53268df3e72d399ca1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LG2RZAUODQDVV3XDZTB7NZWYM5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Alexander Apartsin, Almog Sasson, Inbal Bolshinsky, Shani Kupiec, Yehudit Aperstein","submitted_at":"2025-09-05T11:13:20Z","abstract_excerpt":"In the era of conversational AI, generating accurate and contextually appropriate service responses remains a critical challenge. A central question remains: Is explicit intent recognition a prerequisite for generating high-quality service responses, or can models bypass this step and produce effective replies directly? This paper conducts a rigorous comparative study to address this fundamental design dilemma. Leveraging two publicly available service interaction datasets, we benchmark several state-of-the-art language models, including a fine-tuned T5 variant, across both paradigms: Intent-F"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05006","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/2509.05006/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":"2026-07-05T12:05:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ulRzOZBZeDAtY5w1cG2nQKAVts/zAdhvXWDJBwAwABsr9pYjHuR2lVhbjLGVz02qj/3CXI/DabetpTcaSOLvAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T22:27:20.070253Z"},"content_sha256":"f31db494584d09619b3c6f752f6044bb1210026201321b7d8dc92b03eae5aad2","schema_version":"1.0","event_id":"sha256:f31db494584d09619b3c6f752f6044bb1210026201321b7d8dc92b03eae5aad2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LG2RZAUODQDVV3XDZTB7NZWYM5/bundle.json","state_url":"https://pith.science/pith/LG2RZAUODQDVV3XDZTB7NZWYM5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LG2RZAUODQDVV3XDZTB7NZWYM5/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":"2026-08-21T22:27:20Z","links":{"resolver":"https://pith.science/pith/LG2RZAUODQDVV3XDZTB7NZWYM5","bundle":"https://pith.science/pith/LG2RZAUODQDVV3XDZTB7NZWYM5/bundle.json","state":"https://pith.science/pith/LG2RZAUODQDVV3XDZTB7NZWYM5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LG2RZAUODQDVV3XDZTB7NZWYM5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LG2RZAUODQDVV3XDZTB7NZWYM5","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":"03329c2542b2dc12d988633ae45838df3f50a00555bdee26a7ee68a25808ae43","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T11:13:20Z","title_canon_sha256":"541e4031e8b649226b56d9a6fc08e8962a7152d6781c47690215a945534b954f"},"schema_version":"1.0","source":{"id":"2509.05006","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.05006","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"arxiv_version","alias_value":"2509.05006v1","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.05006","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"pith_short_12","alias_value":"LG2RZAUODQDV","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"pith_short_16","alias_value":"LG2RZAUODQDVV3XD","created_at":"2026-07-05T12:05:34Z"},{"alias_kind":"pith_short_8","alias_value":"LG2RZAUO","created_at":"2026-07-05T12:05:34Z"}],"graph_snapshots":[{"event_id":"sha256:f31db494584d09619b3c6f752f6044bb1210026201321b7d8dc92b03eae5aad2","target":"graph","created_at":"2026-07-05T12:05:34Z","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/2509.05006/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the era of conversational AI, generating accurate and contextually appropriate service responses remains a critical challenge. A central question remains: Is explicit intent recognition a prerequisite for generating high-quality service responses, or can models bypass this step and produce effective replies directly? This paper conducts a rigorous comparative study to address this fundamental design dilemma. Leveraging two publicly available service interaction datasets, we benchmark several state-of-the-art language models, including a fine-tuned T5 variant, across both paradigms: Intent-F","authors_text":"Alexander Apartsin, Almog Sasson, Inbal Bolshinsky, Shani Kupiec, Yehudit Aperstein","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T11:13:20Z","title":"Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.05006","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":"sha256:544912762866531e4407cb057a1711c9ae07e7f80a94af53268df3e72d399ca1","target":"record","created_at":"2026-07-05T12:05:34Z","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":"03329c2542b2dc12d988633ae45838df3f50a00555bdee26a7ee68a25808ae43","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-09-05T11:13:20Z","title_canon_sha256":"541e4031e8b649226b56d9a6fc08e8962a7152d6781c47690215a945534b954f"},"schema_version":"1.0","source":{"id":"2509.05006","kind":"arxiv","version":1}},"canonical_sha256":"59b51c828e1c075aeee3ccc3f6e6d867427dced25824d6728f46fef4755397bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59b51c828e1c075aeee3ccc3f6e6d867427dced25824d6728f46fef4755397bb","first_computed_at":"2026-07-05T12:05:34.362680Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:34.362680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AAYwF4MgWr2Yt2CICPbF/INfd3V6jVOC3NfYKoVOYPOyqv3P8jq7hl/vDHkafWbW5qmQzcgHQ+7JDxUIJRoCCA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:34.363156Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.05006","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:544912762866531e4407cb057a1711c9ae07e7f80a94af53268df3e72d399ca1","sha256:f31db494584d09619b3c6f752f6044bb1210026201321b7d8dc92b03eae5aad2"],"state_sha256":"7a5d8f9be68ff763e9260fa151a1d03dea77d423dafe160f878eb98f7067e8d7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f6HNNjN23J8qMhW0zv9fyWfXn0abSvVL9QBGErhzjjJOc3G1N0dXeTY+M7DspnxYmZIH2b5OOZ7gzBGKWhAVCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T22:27:20.075825Z","bundle_sha256":"fe80f4017bf04fc2407adc81d16adf833bb15d301aba99b8548c7549aca49fb0"}}