{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:6Y2H4RDAUGVNNDGUQDXGMYHG6R","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":"c815db1c779ec539c25d32ece730352b0becacfb25f2678e9f7d49ad5805790a","cross_cats_sorted":["cs.AI","cs.CY","cs.HC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-08T15:02:49Z","title_canon_sha256":"c92969379c043ac4d3c3c984fc1f879e5ad9a7fa32ba5e5ad7ce19fe34665ce3"},"schema_version":"1.0","source":{"id":"2505.05318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.05318","created_at":"2026-07-05T11:00:22Z"},{"alias_kind":"arxiv_version","alias_value":"2505.05318v1","created_at":"2026-07-05T11:00:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.05318","created_at":"2026-07-05T11:00:22Z"},{"alias_kind":"pith_short_12","alias_value":"6Y2H4RDAUGVN","created_at":"2026-07-05T11:00:22Z"},{"alias_kind":"pith_short_16","alias_value":"6Y2H4RDAUGVNNDGU","created_at":"2026-07-05T11:00:22Z"},{"alias_kind":"pith_short_8","alias_value":"6Y2H4RDA","created_at":"2026-07-05T11:00:22Z"}],"graph_snapshots":[{"event_id":"sha256:58a5a9d8aafd8021115bd0428d79ea697477a7a9b006a804be9cac593d57c3b3","target":"graph","created_at":"2026-07-05T11:00:22Z","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/2505.05318/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The rapid adoption of Vision Language Models (VLMs), pre-trained on large image-text and video-text datasets, calls for protecting and informing users about when to trust these systems. This survey reviews studies on trust dynamics in user-VLM interactions, through a multi-disciplinary taxonomy encompassing different cognitive science capabilities, collaboration modes, and agent behaviours. Literature insights and findings from a workshop with prospective VLM users inform preliminary requirements for future VLM trust studies.","authors_text":"Agnese Chiatti, Lara Shibelski Godoy Piccolo, Matteo Matteucci, Sara Bernardini, Viola Schiaffonati","cross_cats":["cs.AI","cs.CY","cs.HC","cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-08T15:02:49Z","title":"Mapping User Trust in Vision Language Models: Research Landscape, Challenges, and Prospects"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.05318","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:c7c3adc3aa932bce9e822001de8342708902764ae6ae0a8623338660e1528122","target":"record","created_at":"2026-07-05T11:00:22Z","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":"c815db1c779ec539c25d32ece730352b0becacfb25f2678e9f7d49ad5805790a","cross_cats_sorted":["cs.AI","cs.CY","cs.HC","cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-08T15:02:49Z","title_canon_sha256":"c92969379c043ac4d3c3c984fc1f879e5ad9a7fa32ba5e5ad7ce19fe34665ce3"},"schema_version":"1.0","source":{"id":"2505.05318","kind":"arxiv","version":1}},"canonical_sha256":"f6347e4460a1aad68cd480ee6660e6f471d25eb5e8198497a75256b4ff1cf886","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f6347e4460a1aad68cd480ee6660e6f471d25eb5e8198497a75256b4ff1cf886","first_computed_at":"2026-07-05T11:00:22.594171Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:00:22.594171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nalo7/QcxABgKzxHf6/i6np072qFh9eebLSvzIvQVuuYRhkzcdQc+/gMod2jaVYUyJiZ81yib+8NC9d3WmddBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:00:22.594815Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.05318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c7c3adc3aa932bce9e822001de8342708902764ae6ae0a8623338660e1528122","sha256:58a5a9d8aafd8021115bd0428d79ea697477a7a9b006a804be9cac593d57c3b3"],"state_sha256":"fd11e74ebb25d12c912d778f0e48c52a673669161918f190a3c99aa4764fec46"}