{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2Y44MZ7YAZLHL4OWJFPVWS6IQR","short_pith_number":"pith:2Y44MZ7Y","canonical_record":{"source":{"id":"2605.31287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T13:22:58Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"8ac18861b4bd79458678672187186d5e0c000f4b2263b206997ad7ae08fd0a9d","abstract_canon_sha256":"fa419f8e582a064bd57bf720a352aa097a1a443303000a2a6ffe60675216abfd"},"schema_version":"1.0"},"canonical_sha256":"d639c667f8065675f1d6495f5b4bc88450d3a61f9c77eee05d2792dbb34ba28a","source":{"kind":"arxiv","id":"2605.31287","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31287","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31287v1","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31287","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"2Y44MZ7YAZLH","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"2Y44MZ7YAZLHL4OW","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"2Y44MZ7Y","created_at":"2026-06-01T01:04:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2Y44MZ7YAZLHL4OWJFPVWS6IQR","target":"record","payload":{"canonical_record":{"source":{"id":"2605.31287","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T13:22:58Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"8ac18861b4bd79458678672187186d5e0c000f4b2263b206997ad7ae08fd0a9d","abstract_canon_sha256":"fa419f8e582a064bd57bf720a352aa097a1a443303000a2a6ffe60675216abfd"},"schema_version":"1.0"},"canonical_sha256":"d639c667f8065675f1d6495f5b4bc88450d3a61f9c77eee05d2792dbb34ba28a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:04:09.069180Z","signature_b64":"sUSxIxTVxnSsXbTiySSmZsWeBl20We38tPn08u2D5fsQNPDu2NhJasjUleQL9p0Uu3n4t4FZQ1fXT6itcWCtCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d639c667f8065675f1d6495f5b4bc88450d3a61f9c77eee05d2792dbb34ba28a","last_reissued_at":"2026-06-01T01:04:09.068281Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:04:09.068281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.31287","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":"2026-06-01T01:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CUig5+y1JNftwOYw1D5Z4pKK92N4j0evKWlNrNB4RgWfLSQvC6LMv26IPHxx3RKAx5+c1P/LD3+8FA5VTR2tAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T02:48:11.058389Z"},"content_sha256":"30b5407bc3dd01f3dd4d08d23ba5dc3fce19630af213d07fa467d9d194a7bc32","schema_version":"1.0","event_id":"sha256:30b5407bc3dd01f3dd4d08d23ba5dc3fce19630af213d07fa467d9d194a7bc32"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2Y44MZ7YAZLHL4OWJFPVWS6IQR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neither Replacement nor Panacea: Comparing LLM-Based Conversational and Graphical Decision Support in Industrial Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CY","authors_text":"Alan Serrano, Daniele Mazzei, Daria Mikhaylova, Roberto Figli\\`e, Simone Caputo, Tommaso Turchi","submitted_at":"2026-05-29T13:22:58Z","abstract_excerpt":"Managers in manufacturing settings rely on digital interfaces to interpret operational data for decision-making, but growing data volume and complexity can make relevant insights difficult to identify efficiently. While dashboards remain dominant in industrial contexts, Large Language Model (LLM)-based conversational agents (CAs), accessed through conversational user interfaces (CUIs), may provide more direct access to such data. However, their effectiveness may depend on the information-processing demands of the task. This study compares an LLM-based CA delivered through a CUI with a dashboar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31287","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/2605.31287/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":"2026-06-01T01:04:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oX1RMWxFRKx3eRG6WjLC83hVOX0YSpoGQ6GCci4wLy4BpT/K9RM0No8t9s8o7HutP7+LA/9V8NiIFIZajHeyBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T02:48:11.058774Z"},"content_sha256":"df54ab4ec820cfbdd83c833244305e3144bd5f071ffe7131313260ea8a1af53b","schema_version":"1.0","event_id":"sha256:df54ab4ec820cfbdd83c833244305e3144bd5f071ffe7131313260ea8a1af53b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR/bundle.json","state_url":"https://pith.science/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR/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":"2026-06-02T02:48:11Z","links":{"resolver":"https://pith.science/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR","bundle":"https://pith.science/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR/bundle.json","state":"https://pith.science/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2Y44MZ7YAZLHL4OWJFPVWS6IQR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2Y44MZ7YAZLHL4OWJFPVWS6IQR","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":"fa419f8e582a064bd57bf720a352aa097a1a443303000a2a6ffe60675216abfd","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T13:22:58Z","title_canon_sha256":"8ac18861b4bd79458678672187186d5e0c000f4b2263b206997ad7ae08fd0a9d"},"schema_version":"1.0","source":{"id":"2605.31287","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.31287","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"arxiv_version","alias_value":"2605.31287v1","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.31287","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"pith_short_12","alias_value":"2Y44MZ7YAZLH","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"pith_short_16","alias_value":"2Y44MZ7YAZLHL4OW","created_at":"2026-06-01T01:04:09Z"},{"alias_kind":"pith_short_8","alias_value":"2Y44MZ7Y","created_at":"2026-06-01T01:04:09Z"}],"graph_snapshots":[{"event_id":"sha256:df54ab4ec820cfbdd83c833244305e3144bd5f071ffe7131313260ea8a1af53b","target":"graph","created_at":"2026-06-01T01:04:09Z","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/2605.31287/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Managers in manufacturing settings rely on digital interfaces to interpret operational data for decision-making, but growing data volume and complexity can make relevant insights difficult to identify efficiently. While dashboards remain dominant in industrial contexts, Large Language Model (LLM)-based conversational agents (CAs), accessed through conversational user interfaces (CUIs), may provide more direct access to such data. However, their effectiveness may depend on the information-processing demands of the task. This study compares an LLM-based CA delivered through a CUI with a dashboar","authors_text":"Alan Serrano, Daniele Mazzei, Daria Mikhaylova, Roberto Figli\\`e, Simone Caputo, Tommaso Turchi","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T13:22:58Z","title":"Neither Replacement nor Panacea: Comparing LLM-Based Conversational and Graphical Decision Support in Industrial Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.31287","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":"sha256:30b5407bc3dd01f3dd4d08d23ba5dc3fce19630af213d07fa467d9d194a7bc32","target":"record","created_at":"2026-06-01T01:04:09Z","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":"fa419f8e582a064bd57bf720a352aa097a1a443303000a2a6ffe60675216abfd","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2026-05-29T13:22:58Z","title_canon_sha256":"8ac18861b4bd79458678672187186d5e0c000f4b2263b206997ad7ae08fd0a9d"},"schema_version":"1.0","source":{"id":"2605.31287","kind":"arxiv","version":1}},"canonical_sha256":"d639c667f8065675f1d6495f5b4bc88450d3a61f9c77eee05d2792dbb34ba28a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d639c667f8065675f1d6495f5b4bc88450d3a61f9c77eee05d2792dbb34ba28a","first_computed_at":"2026-06-01T01:04:09.068281Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-01T01:04:09.068281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sUSxIxTVxnSsXbTiySSmZsWeBl20We38tPn08u2D5fsQNPDu2NhJasjUleQL9p0Uu3n4t4FZQ1fXT6itcWCtCA==","signature_status":"signed_v1","signed_at":"2026-06-01T01:04:09.069180Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.31287","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30b5407bc3dd01f3dd4d08d23ba5dc3fce19630af213d07fa467d9d194a7bc32","sha256:df54ab4ec820cfbdd83c833244305e3144bd5f071ffe7131313260ea8a1af53b"],"state_sha256":"b24fb592f9a43e506fd1369b57803584d2c68e7efdb63ad6e1890da8fa42f436"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fsohPoCzmKqitjDYTNcv/gRUJLaNVxrwsmnGYdBV2HEOVKoOZUykeGHGq0RpBs1hPxamNVt/TlK/+269JlYFAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T02:48:11.060840Z","bundle_sha256":"989ab85c22e6ca5441532166f00d5d9b7837412bd3b769abca1b2faad39de8e5"}}