{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UARXUOVJPWBNMJBJ2JE4PBJRQV","short_pith_number":"pith:UARXUOVJ","canonical_record":{"source":{"id":"2605.16024","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-15T14:58:28Z","cross_cats_sorted":[],"title_canon_sha256":"868d9cc9d287329ba141d0f06b80ea35ea78b5e24692f7e6e9c65db43152731b","abstract_canon_sha256":"5ea1ef7d352096003ce3cc2480c41d7aff0992c241f2156b1e86554f49c8bd42"},"schema_version":"1.0"},"canonical_sha256":"a0237a3aa97d82d62429d249c785318576ed17f89fda8a49bc98fe0258e02193","source":{"kind":"arxiv","id":"2605.16024","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16024","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16024v1","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16024","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"pith_short_12","alias_value":"UARXUOVJPWBN","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"pith_short_16","alias_value":"UARXUOVJPWBNMJBJ","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"pith_short_8","alias_value":"UARXUOVJ","created_at":"2026-05-20T00:01:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UARXUOVJPWBNMJBJ2JE4PBJRQV","target":"record","payload":{"canonical_record":{"source":{"id":"2605.16024","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-15T14:58:28Z","cross_cats_sorted":[],"title_canon_sha256":"868d9cc9d287329ba141d0f06b80ea35ea78b5e24692f7e6e9c65db43152731b","abstract_canon_sha256":"5ea1ef7d352096003ce3cc2480c41d7aff0992c241f2156b1e86554f49c8bd42"},"schema_version":"1.0"},"canonical_sha256":"a0237a3aa97d82d62429d249c785318576ed17f89fda8a49bc98fe0258e02193","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:01:49.759951Z","signature_b64":"quDwGxJMBfZAwsUXIIiQLF97cvM+z9o1QYYV8XZpFU4swgW5aLJXMUFnqWoMbj3KqQxkQHj2vZyadEVr7G03BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a0237a3aa97d82d62429d249c785318576ed17f89fda8a49bc98fe0258e02193","last_reissued_at":"2026-05-20T00:01:49.759440Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:01:49.759440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.16024","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":"2026-05-20T00:01:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1MljyDxb5UiVyA7myj4RmVvi+d964sTMPay2zq0+74KnXhBuc76QfxM4Yu8CvzMENszqvdyr3LwWd4oPS7WMBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T15:32:34.109084Z"},"content_sha256":"8611e8bd17d98136a53507e7cde02c8207d622aaa09cd6037794bf3d5cb822df","schema_version":"1.0","event_id":"sha256:8611e8bd17d98136a53507e7cde02c8207d622aaa09cd6037794bf3d5cb822df"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UARXUOVJPWBNMJBJ2JE4PBJRQV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ScreenSearch: Uncertainty-Aware OS Exploration","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Justin Wagle, Michael Solodko","submitted_at":"2026-05-15T14:58:28Z","abstract_excerpt":"Desktop GUI agents operate under partial observability: visually similar screens can correspond to different underlying workflow states, so locally plausible actions can lead to sharply different outcomes. We frame this as a problem of computer/OS state exploration, where effective behavior requires both expanding the reachable frontier and reducing ambiguity before committing. We present ScreenSearch, a system that combines structural screen retrieval and deduplication with an ambiguity-aware PUCT graph-bandit for large-scale desktop exploration. The retrieval layer converts UIA trees into lo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16024","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/2605.16024/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:42.156349Z","status":"skipped","version":"1.0.0","findings_count":0},{"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.630664Z","status":"completed","version":"1.0.0","findings_count":0}],"snapshot_sha256":"1470a604b805b1ac90921fb2563ad12563099bf883b097914f0714da0bf3d629"},"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":"2026-05-20T00:01:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IwS1ZSrbI6pf28xuX/6zDVg4QQh4M0+y7C8EOiqxfh2u9CClDchTSQeXX3YPRtuwl2i33JRyutKFKvfllFGeBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T15:32:34.109540Z"},"content_sha256":"6c0141f77cce5e24802ccf83af48067cb86271829d564c9f2d4f18afcb670cfa","schema_version":"1.0","event_id":"sha256:6c0141f77cce5e24802ccf83af48067cb86271829d564c9f2d4f18afcb670cfa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV/bundle.json","state_url":"https://pith.science/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV/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":"2026-05-28T15:32:34Z","links":{"resolver":"https://pith.science/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV","bundle":"https://pith.science/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV/bundle.json","state":"https://pith.science/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UARXUOVJPWBNMJBJ2JE4PBJRQV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UARXUOVJPWBNMJBJ2JE4PBJRQV","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":"5ea1ef7d352096003ce3cc2480c41d7aff0992c241f2156b1e86554f49c8bd42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-15T14:58:28Z","title_canon_sha256":"868d9cc9d287329ba141d0f06b80ea35ea78b5e24692f7e6e9c65db43152731b"},"schema_version":"1.0","source":{"id":"2605.16024","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16024","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16024v1","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16024","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"pith_short_12","alias_value":"UARXUOVJPWBN","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"pith_short_16","alias_value":"UARXUOVJPWBNMJBJ","created_at":"2026-05-20T00:01:49Z"},{"alias_kind":"pith_short_8","alias_value":"UARXUOVJ","created_at":"2026-05-20T00:01:49Z"}],"graph_snapshots":[{"event_id":"sha256:6c0141f77cce5e24802ccf83af48067cb86271829d564c9f2d4f18afcb670cfa","target":"graph","created_at":"2026-05-20T00:01:49Z","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":[{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T17:33:42.156349Z","status":"skipped","version":"1.0.0"},{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T17:01:55.630664Z","status":"completed","version":"1.0.0"}],"endpoint":"/pith/2605.16024/integrity.json","findings":[],"snapshot_sha256":"1470a604b805b1ac90921fb2563ad12563099bf883b097914f0714da0bf3d629","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Desktop GUI agents operate under partial observability: visually similar screens can correspond to different underlying workflow states, so locally plausible actions can lead to sharply different outcomes. We frame this as a problem of computer/OS state exploration, where effective behavior requires both expanding the reachable frontier and reducing ambiguity before committing. We present ScreenSearch, a system that combines structural screen retrieval and deduplication with an ambiguity-aware PUCT graph-bandit for large-scale desktop exploration. The retrieval layer converts UIA trees into lo","authors_text":"Justin Wagle, Michael Solodko","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-15T14:58:28Z","title":"ScreenSearch: Uncertainty-Aware OS Exploration"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16024","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":"sha256:8611e8bd17d98136a53507e7cde02c8207d622aaa09cd6037794bf3d5cb822df","target":"record","created_at":"2026-05-20T00:01:49Z","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":"5ea1ef7d352096003ce3cc2480c41d7aff0992c241f2156b1e86554f49c8bd42","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-05-15T14:58:28Z","title_canon_sha256":"868d9cc9d287329ba141d0f06b80ea35ea78b5e24692f7e6e9c65db43152731b"},"schema_version":"1.0","source":{"id":"2605.16024","kind":"arxiv","version":1}},"canonical_sha256":"a0237a3aa97d82d62429d249c785318576ed17f89fda8a49bc98fe0258e02193","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a0237a3aa97d82d62429d249c785318576ed17f89fda8a49bc98fe0258e02193","first_computed_at":"2026-05-20T00:01:49.759440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:01:49.759440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"quDwGxJMBfZAwsUXIIiQLF97cvM+z9o1QYYV8XZpFU4swgW5aLJXMUFnqWoMbj3KqQxkQHj2vZyadEVr7G03BA==","signature_status":"signed_v1","signed_at":"2026-05-20T00:01:49.759951Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16024","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8611e8bd17d98136a53507e7cde02c8207d622aaa09cd6037794bf3d5cb822df","sha256:6c0141f77cce5e24802ccf83af48067cb86271829d564c9f2d4f18afcb670cfa"],"state_sha256":"6a1b9aba0f5130f567378e80ebb851ff3a8257209b3dbcb6ceaa6b440fed80ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VeIZKMXPUiRlkpQ3laPn+yEgUWZI4aXJqZOGvaXT+aVn2a+TrpNen20/E3NBsQpCpyJPtf5kedvmEjVw0FgpDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T15:32:34.112498Z","bundle_sha256":"c93727c57423cbbe91cd750388fffc2cc55e02d5ee9dc1f6ad98dbec4d1238c6"}}