{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:IQPRH3JAEWHI6RNKJZAXJONPDT","short_pith_number":"pith:IQPRH3JA","canonical_record":{"source":{"id":"2305.09699","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-16T07:16:36Z","cross_cats_sorted":[],"title_canon_sha256":"8b438208b2aa306eebd9d9dd3e726c3bdae45c98e401a3efe77f7cf01b885d49","abstract_canon_sha256":"e0918b43f68b527c16b37551bafdf373cf496ee5e0fe58084e05aeccb6f2d3de"},"schema_version":"1.0"},"canonical_sha256":"441f13ed20258e8f45aa4e4174b9af1ce12cd710deaec451a6e22235134b8bea","source":{"kind":"arxiv","id":"2305.09699","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09699","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09699v1","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09699","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"pith_short_12","alias_value":"IQPRH3JAEWHI","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"pith_short_16","alias_value":"IQPRH3JAEWHI6RNK","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"pith_short_8","alias_value":"IQPRH3JA","created_at":"2026-07-05T06:10:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:IQPRH3JAEWHI6RNKJZAXJONPDT","target":"record","payload":{"canonical_record":{"source":{"id":"2305.09699","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-16T07:16:36Z","cross_cats_sorted":[],"title_canon_sha256":"8b438208b2aa306eebd9d9dd3e726c3bdae45c98e401a3efe77f7cf01b885d49","abstract_canon_sha256":"e0918b43f68b527c16b37551bafdf373cf496ee5e0fe58084e05aeccb6f2d3de"},"schema_version":"1.0"},"canonical_sha256":"441f13ed20258e8f45aa4e4174b9af1ce12cd710deaec451a6e22235134b8bea","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:10:52.951225Z","signature_b64":"d4P6X6E5F9ozfZPdGHd6bN2UMI7AwtM9Ti9GPn7HDX/RC+1PJA1XA+Kr2037ctiTwY34aA9trvdcnalIye49Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"441f13ed20258e8f45aa4e4174b9af1ce12cd710deaec451a6e22235134b8bea","last_reissued_at":"2026-07-05T06:10:52.950765Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:10:52.950765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.09699","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":"2026-07-05T06:10:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gsft8ZXMN/A5uwtTs9tZg2FgAvut9LZMrqSawufE8QTP3FPAuY/CTIelrUD85J7g/bXeO36DExvaH8QgmalGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T22:38:34.049272Z"},"content_sha256":"5e6e0a45468dad50b3ceb60c4b38e7a27341f5f26a84d2ca02d988e72f91f12d","schema_version":"1.0","event_id":"sha256:5e6e0a45468dad50b3ceb60c4b38e7a27341f5f26a84d2ca02d988e72f91f12d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:IQPRH3JAEWHI6RNKJZAXJONPDT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mobile User Interface Element Detection Via Adaptively Prompt Tuning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changhua Meng, Haoxing Chen, Jun Lan, Weiqiang Wang, Zhangxuan Gu, Zhuoer Xu","submitted_at":"2023-05-16T07:16:36Z","abstract_excerpt":"Recent object detection approaches rely on pretrained vision-language models for image-text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it contains additional OCR information, which describes its content and function but is often ignored. In this paper, we develop a new MUI element detection dataset named MUI-zh and propose an Adaptively Prompt Tuning (APT) module to take advantage of discriminating OCR information. APT is a lightweight and effective module to jointly optimize category prompts across different modalities. For every element, APT uniform"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09699","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/2305.09699/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":"2026-07-05T06:10:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+XRU97kvxc3q4bveYevlKwwW8fTezQNB3wiVy83bqQfm/mOKuuB+wf6f7aKyvtRbgGsSbw3XahCe8IAcVKGiCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-15T22:38:34.049689Z"},"content_sha256":"33e286c660ac5bd374b63d12286470f0e2be41a918bdab9d018d8b29cd330386","schema_version":"1.0","event_id":"sha256:33e286c660ac5bd374b63d12286470f0e2be41a918bdab9d018d8b29cd330386"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IQPRH3JAEWHI6RNKJZAXJONPDT/bundle.json","state_url":"https://pith.science/pith/IQPRH3JAEWHI6RNKJZAXJONPDT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IQPRH3JAEWHI6RNKJZAXJONPDT/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":"2026-07-15T22:38:34Z","links":{"resolver":"https://pith.science/pith/IQPRH3JAEWHI6RNKJZAXJONPDT","bundle":"https://pith.science/pith/IQPRH3JAEWHI6RNKJZAXJONPDT/bundle.json","state":"https://pith.science/pith/IQPRH3JAEWHI6RNKJZAXJONPDT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IQPRH3JAEWHI6RNKJZAXJONPDT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IQPRH3JAEWHI6RNKJZAXJONPDT","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":"e0918b43f68b527c16b37551bafdf373cf496ee5e0fe58084e05aeccb6f2d3de","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-16T07:16:36Z","title_canon_sha256":"8b438208b2aa306eebd9d9dd3e726c3bdae45c98e401a3efe77f7cf01b885d49"},"schema_version":"1.0","source":{"id":"2305.09699","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.09699","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"arxiv_version","alias_value":"2305.09699v1","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.09699","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"pith_short_12","alias_value":"IQPRH3JAEWHI","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"pith_short_16","alias_value":"IQPRH3JAEWHI6RNK","created_at":"2026-07-05T06:10:52Z"},{"alias_kind":"pith_short_8","alias_value":"IQPRH3JA","created_at":"2026-07-05T06:10:52Z"}],"graph_snapshots":[{"event_id":"sha256:33e286c660ac5bd374b63d12286470f0e2be41a918bdab9d018d8b29cd330386","target":"graph","created_at":"2026-07-05T06:10:52Z","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/2305.09699/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent object detection approaches rely on pretrained vision-language models for image-text alignment. However, they fail to detect the Mobile User Interface (MUI) element since it contains additional OCR information, which describes its content and function but is often ignored. In this paper, we develop a new MUI element detection dataset named MUI-zh and propose an Adaptively Prompt Tuning (APT) module to take advantage of discriminating OCR information. APT is a lightweight and effective module to jointly optimize category prompts across different modalities. For every element, APT uniform","authors_text":"Changhua Meng, Haoxing Chen, Jun Lan, Weiqiang Wang, Zhangxuan Gu, Zhuoer Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-16T07:16:36Z","title":"Mobile User Interface Element Detection Via Adaptively Prompt Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.09699","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":"sha256:5e6e0a45468dad50b3ceb60c4b38e7a27341f5f26a84d2ca02d988e72f91f12d","target":"record","created_at":"2026-07-05T06:10:52Z","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":"e0918b43f68b527c16b37551bafdf373cf496ee5e0fe58084e05aeccb6f2d3de","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-16T07:16:36Z","title_canon_sha256":"8b438208b2aa306eebd9d9dd3e726c3bdae45c98e401a3efe77f7cf01b885d49"},"schema_version":"1.0","source":{"id":"2305.09699","kind":"arxiv","version":1}},"canonical_sha256":"441f13ed20258e8f45aa4e4174b9af1ce12cd710deaec451a6e22235134b8bea","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"441f13ed20258e8f45aa4e4174b9af1ce12cd710deaec451a6e22235134b8bea","first_computed_at":"2026-07-05T06:10:52.950765Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:10:52.950765Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d4P6X6E5F9ozfZPdGHd6bN2UMI7AwtM9Ti9GPn7HDX/RC+1PJA1XA+Kr2037ctiTwY34aA9trvdcnalIye49Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:10:52.951225Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.09699","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5e6e0a45468dad50b3ceb60c4b38e7a27341f5f26a84d2ca02d988e72f91f12d","sha256:33e286c660ac5bd374b63d12286470f0e2be41a918bdab9d018d8b29cd330386"],"state_sha256":"e6affc6faee3f7270e27ec5056a486fda75468416aa5e18c7c7c507f3cfe94ee"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v4CgyBSA+w5cC+sgv76PI9gY+FEwPmhwaQcMNiReefknJeeeizOTsa8j4Xxm0Litov7oIwLCH0Teo7PbvcF3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-15T22:38:34.051983Z","bundle_sha256":"9aff2c58f3dcec5f8ea72f3ae711575fac69045e0b4795494ba6a2043eff41c9"}}