{"as_of":"2026-08-11T17:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1f0ffd8f33615e260640a754e4765860d28463cdf7f82307b875cba15cd4aa7","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T18:06:13.804465Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.06934/citation-record","integrity":"/paper/2608.06934/integrity","json":"/paper/2608.06934/citation-record.json","paper":"/paper/2608.06934"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.500591Z","title":"Validation of Walk Score for estimating neighborhood walkability: An analysis of four US metropolitan areas,","venue":null,"work_id":"a13ffb70-ec9b-4526-9904-b7f0b907e1f1","year":2011},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.594698Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:5d1132da3a0d3c2d02088390c0677c4e224fcd463dc70657b54482fbb97b1c77","observation_id":"4239f637-aaff-4141-bfce-ea9db7449c95","resolution":{"observed_at":"2026-08-10T18:06:14.507966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.483465Z","title":"Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning,","venue":null,"work_id":"3fd5672a-7395-4fc9-8ccc-241a4227b5fe","year":2019},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.602972Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:8a07c67745c54d393bc5c73031bf6198caa28b0ce03be6fe1ccebf959ccb81f2","observation_id":"9fd30368-7b24-4467-b887-4651b2e58bda","resolution":{"observed_at":"2026-08-10T18:06:14.489547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.465562Z","title":"How does pedestrian accessibility vary for different people? Development of a perceived user-specific accessibility measure for walking (PAW),","venue":null,"work_id":"ff290690-ab24-4c9c-b019-984035d74f63","year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.610826Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:47e5fc20673c44eb481dee2f53efa4099f39412923afe31e351693289580d6cc","observation_id":"0e226d1d-5c32-4f1d-89b7-abcacf5e795b","resolution":{"observed_at":"2026-08-10T18:06:14.470988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.448191Z","title":"Understanding urban perception with visual data: A systematic review,","venue":null,"work_id":"ce2c2d71-2978-4baf-b77f-cebef646f10f","year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.618107Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:0b81abacd4dad6f193b9da6647c24ba6abc9af70daa608c2321b0326dfcecfa2","observation_id":"dc158475-d66f-4def-9599-6a280169301d","resolution":{"observed_at":"2026-08-10T18:06:14.453951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.431397Z","title":"Measuring visual walkability perception using panoramic street view images, virtual reality, and deep learning,","venue":null,"work_id":"e7c59961-bb04-49d1-9fb2-9238cee24f68","year":2022},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.624946Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:3d9a6ec2e57925e9e14f552bf95ac4813f72d5eb17cd0c67414a6a59354d2788","observation_id":"9f0b25b5-1afb-4875-a28a-f9c2ad8cde93","resolution":{"observed_at":"2026-08-10T18:06:14.437274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.414197Z","title":"Global urban visual perception varies across demograph- ics and personalities,","venue":null,"work_id":"60c389b1-d838-4ed3-a34b-746869e87cce","year":2025},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.630570Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:fe9369dbef8b1415ff1d6e6e8d194267c4fe0bea010d1beb211e7ab5d7d90ad5","observation_id":"d049e1b3-a541-4dcc-9965-1835055aa17e","resolution":{"observed_at":"2026-08-10T18:06:14.419723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.398694Z","title":"Geographic identity and perceptions of walkable space,","venue":null,"work_id":"6cb1854b-e2ed-4780-a57d-4bfb0c317aac","year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.636417Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:249ce5c47ba39cd69adacb5acf2a11938824892c7496b4a12edea1a0bb099838","observation_id":"70cc77ab-2069-4dad-bb75-5c455092122d","resolution":{"observed_at":"2026-08-10T18:06:14.403707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.381240Z","title":"Translat- ing street view imagery to correct perspectives to enhance bikeability and walkability studies,","venue":null,"work_id":"6228eeb1-048c-43d4-a72b-03d6ca9dd38f","year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.641528Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:2aa26dbcd4a5ec0c3cc30263c5d0adb42bc1b1a606bf941f4901b240eb5a972f","observation_id":"a5409875-d07b-4a80-b29a-d2440e8d2ac4","resolution":{"observed_at":"2026-08-10T18:06:14.386783Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.362788Z","title":"Designing effective image-based surveys for urban visual perception,","venue":null,"work_id":"513a921c-568c-4fd9-8b9d-dd21a87f90b4","year":2025},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.647643Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:b8919ff7c07584e9de40b9913458090be05a05d3dff2b90bfe34295e592bffdd","observation_id":"2a973ebc-38d3-45d9-b968-73c6d487489b","resolution":{"observed_at":"2026-08-10T18:06:14.368206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.340770Z","title":"Measuring the unmeasurable: Urban design qualities related to walkability,","venue":null,"work_id":"b4934712-2212-41fa-8fee-22d6fad40409","year":2009},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.653106Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:6bebbbf283cdcc75a46da9d1c8f80a9e14bdd8e9cd739138c556551c8da4d3db","observation_id":"07c0d994-809c-4a88-ae65-2bd86c9440c1","resolution":{"observed_at":"2026-08-10T18:06:14.346106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.321716Z","title":"Deep learning the city: Quantifying urban perception at a global scale,","venue":null,"work_id":"5c66b22c-1095-4f8c-b74a-cf27d8947ee3","year":2016},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.659116Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:d6b20ad0e7c6b097fa7cda5a29ae131152af1ff7cb181b4c56d8e55e214070e6","observation_id":"8ae98151-14e5-4511-9fbd-fe1105d599c9","resolution":{"observed_at":"2026-08-10T18:06:14.327643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.301085Z","title":"Practical multicriteria urban bicycle routing,","venue":null,"work_id":"763f3710-9b05-4382-b0b9-19f851ddcd24","year":2017},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.664460Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:1cbe67b53ba72158bd3b4dca0e0c42e50fdb14ce499edf84b25767fcca574554","observation_id":"befe1a94-8f52-4860-84d7-691f0777a92d","resolution":{"observed_at":"2026-08-10T18:06:14.307134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.283737Z","title":"Response quality checks,","venue":null,"work_id":"05c0fd41-f3c0-4f5b-b14e-284dd1f6551d","year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.669235Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:eac6dacd303ab52dc1a53f787ade892eff1a72ef936109d5e98382116f779bbf","observation_id":"215ed903-fac5-43fe-b894-6a9d541c790f","resolution":{"observed_at":"2026-08-10T18:06:14.288994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.266269Z","title":"Towards automatic assess- ment of perceived walkability,","venue":null,"work_id":"0ae49f4b-8303-4f55-95ec-e875c5f703aa","year":2018},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.673777Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:aaceae9db1916357ade3510d042e0f7373e222e7e268531b058dbba151c83c83","observation_id":"fe0f4823-8e8f-4611-afa5-89bc7074ace3","resolution":{"observed_at":"2026-08-10T18:06:14.271276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.248986Z","title":"Per- sonalized image aesthetics assessment with rich attributes,","venue":null,"work_id":"f52d2b24-54ab-4928-8bfa-4f23b6f3a152","year":2022},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.678159Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:380edbfe015de53785eaa0b14a104c949a232935c8418fd96c63a80d55be275c","observation_id":"4baebf89-a382-4183-bef0-21b6a1e6fa34","resolution":{"observed_at":"2026-08-10T18:06:14.254724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16556","last_updated":"2024-04-24T17:37:52Z","snapshot_observed_at":"2026-07-06T15:33:42.279377Z","submitted_at":"2023-05-26T00:50:09Z","title":"LANISTR: Multimodal Learning from Structured and Unstructured Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.16556","snapshot_observed_at":"2026-08-10T18:06:13.683298Z","title":"Lanistr: Multi- modal learning from structured and unstructured data,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.683298Z"},"links":{"cited_paper":"/paper/2305.16556","citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:ffca81913d812bf211512c103549b108125324c6f51f0c988f03d2e4c219646a","observation_id":"bfbf1bf5-bd3e-4df0-9a0e-060f3aff0f0f","resolution":{"observed_at":"2026-08-10T18:06:13.683298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.233528Z","title":"MetaFormer baselines for vision,","venue":null,"work_id":"588a832e-351e-49fa-b02d-4568b3ed5cfc","year":2023},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.688738Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:bbcb845c06e02ac4209fcc69035802ba0d2a27a809bcae7c4301e3cc68aea410","observation_id":"b2162784-83ee-46b9-9e35-13eba74892d6","resolution":{"observed_at":"2026-08-10T18:06:14.238097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.216816Z","title":"Revisiting deep learning models for tabular data,","venue":null,"work_id":"df63523e-1896-435c-b7b5-bfd0adf11e83","year":2021},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.695578Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:1ef2ab62767ebb6f92fe14d3fd19611b8c9bb581f13fc3be6b2aee2d1c4e7c89","observation_id":"a2cd4c40-6190-468c-b004-c33252e1c784","resolution":{"observed_at":"2026-08-10T18:06:14.222660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.701795Z","title":"Rank consistent ordi- nal regression for neural networks with application to age estima- tion,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.701795Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:c21bbe438a0b5ba2aba784d0934115a721f0ccf25a403dac368e797b675dffd0","observation_id":"415a02f3-9f8f-447e-b234-232a77ff733a","resolution":{"observed_at":"2026-08-10T18:06:13.701795Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.193217Z","title":"LAPIS: A novel dataset for personalized image aesthetic assessment,","venue":null,"work_id":"4c637102-4af3-437d-ae75-7b3ff190953f","year":2025},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.706987Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:f4ea0d28c8c350e0df0e4adb479183f77e08e5a7770ea63044606c721c9e0510","observation_id":"035faf1d-f173-4ddf-8423-5c64c6e9cb8b","resolution":{"observed_at":"2026-08-10T18:06:14.203416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.173586Z","title":"How rating scales influence responses’ reliability, extreme points, middle point and respondent’s preferences,","venue":null,"work_id":"4dbb0800-e7d1-42cc-8632-49e87f0234bc","year":2022},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.712672Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:245bdce61dbd5159cdd77a04f3d1ca0f6d24bcc3669ea8c062db15f44c608fb7","observation_id":"1142fbf8-f292-41f0-b7f5-0ceebcdd1d78","resolution":{"observed_at":"2026-08-10T18:06:14.180411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.157395Z","title":"Measuring streetscape perceptions from driveways and side- walks to inform pedestrian-oriented street renewal in D ¨usseldorf,","venue":null,"work_id":"c89c9cd1-b454-4a0a-b123-db91b0a51bf3","year":2023},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.717654Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:3365a8fa572023d702adc31039c0853cf10d2a55d041a2daeff9f9a66a1efd2c","observation_id":"aaf5f9ee-6f5d-4078-89b9-b61da00499f7","resolution":{"observed_at":"2026-08-10T18:06:14.162744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16243","last_updated":"2024-12-19T20:52:10Z","snapshot_observed_at":"2026-08-11T14:57:24.479167Z","submitted_at":"2024-12-19T20:52:10Z","title":"Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16243","snapshot_observed_at":"2026-08-10T18:06:13.722238Z","title":"Bag of tricks for multimodal AutoML with image, text, and tabular data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.722238Z"},"links":{"cited_paper":"/paper/2412.16243","citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:9cdf55dee6277a1082d0315fb0256d20428e15b054b441b581c5e54982d111f9","observation_id":"21d84596-18cd-4ae8-a670-159a501a9e44","resolution":{"observed_at":"2026-08-10T18:06:13.722238Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.139737Z","title":"A neural approach to automated essay scor- ing,","venue":null,"work_id":"61ba664f-ed13-4572-acb7-de025d9fdf27","year":2016},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.727198Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:b21e0f81bcf7b1210d5d7764afb6f33bbbd4576bc109e12544ab2e9add9b7a58","observation_id":"17a3d4a1-975c-4977-b9a8-c73c29097ea8","resolution":{"observed_at":"2026-08-10T18:06:14.145402Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.121957Z","title":"Deep learning fundus image analysis for diabetic retinopathy and macular edema grading,","venue":null,"work_id":"96fc3381-61c1-467e-8c6b-f72edf381c0e","year":2019},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.731743Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:94fd6299516476492fa7c36f8caa51981c68b3a2bc835b386ec54aba3b720529","observation_id":"57b06dc8-2e9b-46b0-95db-29b859de168b","resolution":{"observed_at":"2026-08-10T18:06:14.127190Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.103658Z","title":"Random forests,","venue":null,"work_id":"5375808f-43be-4a7f-a405-45d2216ff9f1","year":2001},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.736454Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:f555a79367c8c1c79baa669d4557d16a9328edb7b2c165086c34519dfba0c0f1","observation_id":"311bd260-48df-4ba5-8955-9afb3efde3b5","resolution":{"observed_at":"2026-08-10T18:06:14.110714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.084700Z","title":"Which cycling environment appears safer? Learning cycling safety perceptions from pairwise image comparisons,","venue":null,"work_id":"45eb8e4f-faa0-42b7-bd27-e20134aa59cf","year":2025},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.741519Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:66875898d8090ff1d80fcec4da2fe6cb779065226fbf0448eac528ed8c0592ff","observation_id":"c86fe6b2-e3ab-4f0c-ac11-dd03e2d81981","resolution":{"observed_at":"2026-08-10T18:06:14.092134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.068126Z","title":"Personalized image aesthetics,","venue":null,"work_id":"a326cf03-70d6-49bc-9a56-9ebd3faad541","year":2017},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.747338Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:f8111afd1b09ef9ddaa10203f7baa0a22b7632752134c85793530b2caf62aa65","observation_id":"c4598a92-e382-40e1-adb9-583beef7118b","resolution":{"observed_at":"2026-08-10T18:06:14.073729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.051513Z","title":"Street view imagery in urban analytics and GIS: A review,","venue":null,"work_id":"9ceee3c5-97ff-423a-b857-ef39c332b156","year":2021},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.752125Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:8acbdc245221c79338f1cf715da430e09084cf97b34f45cf5e8f1b2f7b169eff","observation_id":"19309f3a-dcf8-4dd8-96f7-d867db615ae7","resolution":{"observed_at":"2026-08-10T18:06:14.056931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.757651Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.757651Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:21aff52480e7a5036156e72f9914326b670464e50e620f5d85c2c3ee2b6a72f9","observation_id":"49ad0b46-44f9-462e-b413-75d8f2a6dad1","resolution":{"observed_at":"2026-08-10T18:06:13.757651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.022752Z","title":"Swin Transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":"1c8c2d52-1b26-4fe3-8bd4-f39db07857b1","year":2021},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.762468Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:80578b6a512e5b283c7c8597f4aeabe885d89686007b727693d6f93b471b0ab8","observation_id":"ec6ab4e1-18fd-42e1-8e77-31854a929374","resolution":{"observed_at":"2026-08-10T18:06:14.027881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:14.003554Z","title":"A ConvNet for the 2020s,","venue":null,"work_id":"b241e89c-5e70-41e2-8e2d-a97115615df5","year":2022},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.767161Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:a784c9f89beec959b6f1a126019beec0086723a9f660cff0e888492e870a1ce2","observation_id":"5994e267-6e4b-471e-a735-726360bbb941","resolution":{"observed_at":"2026-08-10T18:06:14.010123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.985019Z","title":"Deep neural networks for rank- consistent ordinal regression based on conditional probabilities,","venue":null,"work_id":"90f1a735-c865-4163-a545-e2371947d695","year":2023},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.772185Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:e9091faa982bf61e9643349e4bd769b9beef5b5cc82c10e36c6f5631721cbea9","observation_id":"cbbe00f9-586e-48e1-adbb-abe5f3e7f52f","resolution":{"observed_at":"2026-08-10T18:06:13.990711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.969927Z","title":"Attention is all you need,","venue":null,"work_id":"0cd9ef8e-4a5d-45b2-9190-94f8d25cf6b6","year":2017},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.778088Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:7cdda160c6a2ec08ed3146bff44fd3c5032e4805254c3419d669d1cdc293db06","observation_id":"e40b6808-205b-4129-9c28-cd21b6525fed","resolution":{"observed_at":"2026-08-10T18:06:13.974461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.954365Z","title":"Crowd- sourced NeRF: Collecting data from production vehicles for 3D street view reconstruction,","venue":null,"work_id":"505f21fe-7782-441e-8a55-c41967bcecf4","year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.783468Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:5c65085e5647d017a984b49c589333992c5ad17f42ff825895ba1e542ce6b405","observation_id":"5aa75782-b97c-481b-b8f2-b92f0c6b7969","resolution":{"observed_at":"2026-08-10T18:06:13.959250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.03151","last_updated":"2021-10-07T21:43:58Z","snapshot_observed_at":"2026-08-10T23:31:17.521400Z","submitted_at":"2019-05-01T22:37:47Z","title":"Unrestricted Permutation forces Extrapolation: Variable Importance Requires at least One More Model, or There Is No Free Variable Importance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.03151","snapshot_observed_at":"2026-08-10T18:06:13.788718Z","title":"Please stop permuting features: An expla- nation and alternatives,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.788718Z"},"links":{"cited_paper":"/paper/1905.03151","citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:4ad65ef4e2ae8a9b686e22418b5b4714908d2492394cd3eb44e8aabb609dbd01","observation_id":"4d35e7ac-7677-449c-8003-48034acb9bf7","resolution":{"observed_at":"2026-08-10T18:06:13.788718Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.938166Z","title":"Adaptive personalized travel information systems: A Bayesian method to learn users’ personal preferences in multimodal transport networks,","venue":null,"work_id":"5fdf2fed-c478-4138-b159-7b211f694e4c","year":1957},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.794150Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:fde6cb35dd6e3a5e29f8490759d8ca55de3b117bb0169e060a2b8cd1aa6d6e7b","observation_id":"ae7c83a4-6a79-48dd-822b-ae14d0b1635f","resolution":{"observed_at":"2026-08-10T18:06:13.943011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T18:06:13.919011Z","title":"Deep learning for intelligent transportation systems: A survey of emerging trends,","venue":null,"work_id":"3df2059f-3a42-461a-b39e-92e338919f36","year":2020},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.799161Z"},"links":{"citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:a9bd26a2e0323e099089a46a8b1db0faca520e516ca28adb29e7b9df34e6ee11","observation_id":"5b5635d0-1b38-4cce-94bf-ef7525081d82","resolution":{"observed_at":"2026-08-10T18:06:13.926639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16233","last_updated":"2024-04-30T21:09:27Z","snapshot_observed_at":"2026-08-09T12:08:52.225929Z","submitted_at":"2024-04-24T22:28:12Z","title":"AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16233","snapshot_observed_at":"2026-08-10T18:06:13.804465Z","title":"AutoGluon-Multimodal (AutoMM): Supercharg- ing multimodal AutoML with foundation models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T18:06:13.804465Z"},"links":{"cited_paper":"/paper/2404.16233","citing_paper":"/paper/2608.06934"},"observation_digest":"sha256:6ffb6d83c8a8bad03981de8b71e1ef7cc797b512f3630fa8c9685d2b88f6c380","observation_id":"c7f7e653-e7e6-4502-9396-04eb255856ea","resolution":{"observed_at":"2026-08-10T18:06:13.804465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.06934","last_updated":"2026-08-07T08:07:06Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-11T16:10:48.189299Z","submitted_at":"2026-08-07T08:07:06Z","title":"Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":33},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.06934."}