{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:3U7WR4COVWQ4IYOLO6TLD4DY45","short_pith_number":"pith:3U7WR4CO","schema_version":"1.0","canonical_sha256":"dd3f68f04eada1c461cb77a6b1f078e756e4502c976275076a1b89602da7abf1","source":{"kind":"arxiv","id":"2412.12681","version":1},"attestation_state":"computed","paper":{"title":"Everyday AR through AI-in-the-Loop","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.HC","authors_text":"David Lindlbauer, Mar Gonzalez-Franco, Misha Sra, Ryo Suzuki","submitted_at":"2024-12-17T08:51:55Z","abstract_excerpt":"This workshop brings together experts and practitioners from augmented reality (AR) and artificial intelligence (AI) to shape the future of AI-in-the-loop everyday AR experiences. With recent advancements in both AR hardware and AI capabilities, we envision that everyday AR -- always-available and seamlessly integrated into users' daily environments -- is becoming increasingly feasible. This workshop will explore how AI can drive such everyday AR experiences. We discuss a range of topics, including adaptive and context-aware AR, generative AR content creation, always-on AI assistants, AI-drive"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2412.12681","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2024-12-17T08:51:55Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"34865d270410cfe3fec5d0cfaa3b024ddfeda2a739c17a69edca313f4f146c4d","abstract_canon_sha256":"a822f81c800a9adab2b4d1acf99a33bedd363b7a4ce0b5fc84ade83c6af65824"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:50:19.050702Z","signature_b64":"wJ85WiXqnUhk8d71STaEPBnwqYcSfJZ39/BMA9ZLQ4ClKiA4QKJUrlnkATCqII9N+G3/7frEQ1ryGBfJtwjyDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd3f68f04eada1c461cb77a6b1f078e756e4502c976275076a1b89602da7abf1","last_reissued_at":"2026-07-05T09:50:19.050250Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:50:19.050250Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Everyday AR through AI-in-the-Loop","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.HC","authors_text":"David Lindlbauer, Mar Gonzalez-Franco, Misha Sra, Ryo Suzuki","submitted_at":"2024-12-17T08:51:55Z","abstract_excerpt":"This workshop brings together experts and practitioners from augmented reality (AR) and artificial intelligence (AI) to shape the future of AI-in-the-loop everyday AR experiences. With recent advancements in both AR hardware and AI capabilities, we envision that everyday AR -- always-available and seamlessly integrated into users' daily environments -- is becoming increasingly feasible. This workshop will explore how AI can drive such everyday AR experiences. We discuss a range of topics, including adaptive and context-aware AR, generative AR content creation, always-on AI assistants, AI-drive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.12681","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/2412.12681/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2412.12681","created_at":"2026-07-05T09:50:19.050324+00:00"},{"alias_kind":"arxiv_version","alias_value":"2412.12681v1","created_at":"2026-07-05T09:50:19.050324+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.12681","created_at":"2026-07-05T09:50:19.050324+00:00"},{"alias_kind":"pith_short_12","alias_value":"3U7WR4COVWQ4","created_at":"2026-07-05T09:50:19.050324+00:00"},{"alias_kind":"pith_short_16","alias_value":"3U7WR4COVWQ4IYOL","created_at":"2026-07-05T09:50:19.050324+00:00"},{"alias_kind":"pith_short_8","alias_value":"3U7WR4CO","created_at":"2026-07-05T09:50:19.050324+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45","json":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45.json","graph_json":"https://pith.science/api/pith-number/3U7WR4COVWQ4IYOLO6TLD4DY45/graph.json","events_json":"https://pith.science/api/pith-number/3U7WR4COVWQ4IYOLO6TLD4DY45/events.json","paper":"https://pith.science/paper/3U7WR4CO"},"agent_actions":{"view_html":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45","download_json":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45.json","view_paper":"https://pith.science/paper/3U7WR4CO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2412.12681&json=true","fetch_graph":"https://pith.science/api/pith-number/3U7WR4COVWQ4IYOLO6TLD4DY45/graph.json","fetch_events":"https://pith.science/api/pith-number/3U7WR4COVWQ4IYOLO6TLD4DY45/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45/action/storage_attestation","attest_author":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45/action/author_attestation","sign_citation":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45/action/citation_signature","submit_replication":"https://pith.science/pith/3U7WR4COVWQ4IYOLO6TLD4DY45/action/replication_record"}},"created_at":"2026-07-05T09:50:19.050324+00:00","updated_at":"2026-07-05T09:50:19.050324+00:00"}