{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:AP55UGXC7BHPT3B5N6YLG26STM","short_pith_number":"pith:AP55UGXC","canonical_record":{"source":{"id":"2507.10963","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-15T03:58:28Z","cross_cats_sorted":[],"title_canon_sha256":"db914514bb5b5c0ffff4ae3e3fe1715ebbda0fc7311eb369e6810d26083020af","abstract_canon_sha256":"b40df0cc58e103875aa91127eafdcc72d36add79f5cb07d1e62fd20db051d170"},"schema_version":"1.0"},"canonical_sha256":"03fbda1ae2f84ef9ec3d6fb0b36bd29b06cd07023a3d7f1d2514782b538637fa","source":{"kind":"arxiv","id":"2507.10963","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10963","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10963v1","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10963","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_12","alias_value":"AP55UGXC7BHP","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_16","alias_value":"AP55UGXC7BHPT3B5","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_8","alias_value":"AP55UGXC","created_at":"2026-07-05T11:37:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:AP55UGXC7BHPT3B5N6YLG26STM","target":"record","payload":{"canonical_record":{"source":{"id":"2507.10963","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-15T03:58:28Z","cross_cats_sorted":[],"title_canon_sha256":"db914514bb5b5c0ffff4ae3e3fe1715ebbda0fc7311eb369e6810d26083020af","abstract_canon_sha256":"b40df0cc58e103875aa91127eafdcc72d36add79f5cb07d1e62fd20db051d170"},"schema_version":"1.0"},"canonical_sha256":"03fbda1ae2f84ef9ec3d6fb0b36bd29b06cd07023a3d7f1d2514782b538637fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:37:29.387383Z","signature_b64":"1++uwjssUmJczIpPBwMbliFJO7FdP6rDpzZu5pXJET4F+B2Zx+YGVR1woqJL2bHyQvYIFzw34yp/8sc0ABHSAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"03fbda1ae2f84ef9ec3d6fb0b36bd29b06cd07023a3d7f1d2514782b538637fa","last_reissued_at":"2026-07-05T11:37:29.386925Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:37:29.386925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.10963","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":"2026-07-05T11:37:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5gnp3t96C4TwgbfXm39Sa/mRnC+MEBj64mD8a0cf1JNp2AXzDrbHoCupswPcnKa3RA6OaQN23FIEwmsaHdlHCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:34:05.035453Z"},"content_sha256":"9f733336176ca3164549dce5ca2ba66d90cb6e0d001afd0f16dd1bc913726ce9","schema_version":"1.0","event_id":"sha256:9f733336176ca3164549dce5ca2ba66d90cb6e0d001afd0f16dd1bc913726ce9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:AP55UGXC7BHPT3B5N6YLG26STM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Daniel Killough, Franklin Mingzhe Li, JooYoung Seo, Leyang Li, Patrick Carrington, Toby Jia-Jun Li, Yapeng Tian, Yuhang Zhao, Zheng Ning","submitted_at":"2025-07-15T03:58:28Z","abstract_excerpt":"Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV) individuals. In cooking, BLV people often rely on non-visual cues, such as touch, taste, and smell, to navigate their environment, making it difficult to follow the predominantly audiovisual instructions found in video recipes. To address this problem, we introduce AROMA, an AI system that provides timely responses to the user based on real-time, context-aware assistance by integrating non-visual cues perceived by t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10963","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/2507.10963/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":"2026-07-05T11:37:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iM5S4LiKPkRc3l0q8MmP/2jLEsSxlKoYMYlphBSS8oVFECVZjzi5ZrvHfmo0BJeU6DYtfytuvqQd/pyDpOp0Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:34:05.035987Z"},"content_sha256":"584f99b5a38da5fae2a5918e9ba51257193040fc0871c1f8d01c68c9b0687b70","schema_version":"1.0","event_id":"sha256:584f99b5a38da5fae2a5918e9ba51257193040fc0871c1f8d01c68c9b0687b70"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AP55UGXC7BHPT3B5N6YLG26STM/bundle.json","state_url":"https://pith.science/pith/AP55UGXC7BHPT3B5N6YLG26STM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AP55UGXC7BHPT3B5N6YLG26STM/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":"2026-08-07T18:34:05Z","links":{"resolver":"https://pith.science/pith/AP55UGXC7BHPT3B5N6YLG26STM","bundle":"https://pith.science/pith/AP55UGXC7BHPT3B5N6YLG26STM/bundle.json","state":"https://pith.science/pith/AP55UGXC7BHPT3B5N6YLG26STM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AP55UGXC7BHPT3B5N6YLG26STM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AP55UGXC7BHPT3B5N6YLG26STM","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":"b40df0cc58e103875aa91127eafdcc72d36add79f5cb07d1e62fd20db051d170","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-15T03:58:28Z","title_canon_sha256":"db914514bb5b5c0ffff4ae3e3fe1715ebbda0fc7311eb369e6810d26083020af"},"schema_version":"1.0","source":{"id":"2507.10963","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.10963","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"arxiv_version","alias_value":"2507.10963v1","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.10963","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_12","alias_value":"AP55UGXC7BHP","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_16","alias_value":"AP55UGXC7BHPT3B5","created_at":"2026-07-05T11:37:29Z"},{"alias_kind":"pith_short_8","alias_value":"AP55UGXC","created_at":"2026-07-05T11:37:29Z"}],"graph_snapshots":[{"event_id":"sha256:584f99b5a38da5fae2a5918e9ba51257193040fc0871c1f8d01c68c9b0687b70","target":"graph","created_at":"2026-07-05T11:37:29Z","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/2507.10963/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV) individuals. In cooking, BLV people often rely on non-visual cues, such as touch, taste, and smell, to navigate their environment, making it difficult to follow the predominantly audiovisual instructions found in video recipes. To address this problem, we introduce AROMA, an AI system that provides timely responses to the user based on real-time, context-aware assistance by integrating non-visual cues perceived by t","authors_text":"Daniel Killough, Franklin Mingzhe Li, JooYoung Seo, Leyang Li, Patrick Carrington, Toby Jia-Jun Li, Yapeng Tian, Yuhang Zhao, Zheng Ning","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-15T03:58:28Z","title":"AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.10963","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":"sha256:9f733336176ca3164549dce5ca2ba66d90cb6e0d001afd0f16dd1bc913726ce9","target":"record","created_at":"2026-07-05T11:37:29Z","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":"b40df0cc58e103875aa91127eafdcc72d36add79f5cb07d1e62fd20db051d170","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-07-15T03:58:28Z","title_canon_sha256":"db914514bb5b5c0ffff4ae3e3fe1715ebbda0fc7311eb369e6810d26083020af"},"schema_version":"1.0","source":{"id":"2507.10963","kind":"arxiv","version":1}},"canonical_sha256":"03fbda1ae2f84ef9ec3d6fb0b36bd29b06cd07023a3d7f1d2514782b538637fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03fbda1ae2f84ef9ec3d6fb0b36bd29b06cd07023a3d7f1d2514782b538637fa","first_computed_at":"2026-07-05T11:37:29.386925Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:37:29.386925Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1++uwjssUmJczIpPBwMbliFJO7FdP6rDpzZu5pXJET4F+B2Zx+YGVR1woqJL2bHyQvYIFzw34yp/8sc0ABHSAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:37:29.387383Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.10963","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f733336176ca3164549dce5ca2ba66d90cb6e0d001afd0f16dd1bc913726ce9","sha256:584f99b5a38da5fae2a5918e9ba51257193040fc0871c1f8d01c68c9b0687b70"],"state_sha256":"219bb510ff7531a061dbbcda762402c2825eea2ac1e77d1b83c24fd1f2d2ed31"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qB90mLaynCoig1u5hFRN+X4vl9G9+2HFmsAb/J28xvihociX5pvBbNhI665C0Nw/uSKA/oEZGxJKvmhrkR7wBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:34:05.040524Z","bundle_sha256":"0e38c6b4359e784106c86317ef136437328df8f9e42243e7389ae40b2a41343f"}}