{"as_of":"2026-08-10T09:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3f07401cf2698fa5cd65baef29863c94554c11d969afb3c4d50358d51a9e7986","coverage":[{"denominator":73,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":73,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T21:14:40.273521Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T05:51:35.038721Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T11:58:06.048891Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.09085","snapshot_observed_at":"2026-08-04T05:51:35.038721Z","title":"Dynamic Uncertainty-Aware Multimodal Fusion for Outdoor Health Monitoring,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.18540","last_updated":"2026-08-03T17:37:39Z","snapshot_observed_at":"2026-08-10T09:20:55.859560Z","submitted_at":"2026-03-19T06:51:05Z","title":"GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T05:51:35.038721Z"},"links":{"cited_paper":"/paper/2508.09085","citing_paper":"/paper/2603.18540"},"observation_digest":"sha256:88a2998d487695fc90ad26af40ee86993aaeaf750429a93c3fa794e7231637c2","observation_id":"a617e691-d180-4d00-9760-b1e80c316ba1","resolution":{"observed_at":"2026-08-04T05:51:35.038721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"cited_work":{"arxiv_id":"2508.09085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.09085","snapshot_observed_at":"2026-07-03T11:58:06.048891Z","title":"Dynamic uncertainty-aware multimodal fusion for outdoor health monitoring","venue":null,"work_id":"87157d23-6b49-4145-bcac-f557ad440219","year":2025},"citing_paper":{"arxiv_id":"2604.14643","last_updated":"2026-04-16T05:47:57Z","snapshot_observed_at":"2026-08-06T07:19:18.335325Z","submitted_at":"2026-04-16T05:47:57Z","title":"Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T12:21:23.000753Z"},"links":{"cited_paper":"/paper/2508.09085","citing_paper":"/paper/2604.14643"},"observation_digest":"sha256:27168560a76136620a424e5277ffb8ef3347eecccd505b6b7739286f3d1a062d","observation_id":"0ba99a9c-1313-4b78-8e51-d9c38b43cf06","resolution":{"observed_at":"2026-05-10T12:25:22.611570Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"cited_work":{"arxiv_id":"2508.09085","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.09085","snapshot_observed_at":"2026-07-03T11:58:06.048891Z","title":"Dynamic uncertainty-aware multimodal fusion for outdoor health monitoring","venue":null,"work_id":"87157d23-6b49-4145-bcac-f557ad440219","year":2025},"citing_paper":{"arxiv_id":"2606.11803","last_updated":"2026-06-10T08:35:31Z","snapshot_observed_at":"2026-08-06T15:35:25.172296Z","submitted_at":"2026-06-10T08:35:31Z","title":"SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-27T09:17:04.893967Z"},"links":{"cited_paper":"/paper/2508.09085","citing_paper":"/paper/2606.11803"},"observation_digest":"sha256:a47c62308d0f87680df2a862657cda38bdab1aef4a6d78e67c949353ea1d6277","observation_id":"de05d0ca-87c6-409d-baf2-a264cfb15a96","resolution":{"observed_at":"2026-07-03T11:58:06.050492Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.09085/citation-record","integrity":"/paper/2508.09085/integrity","json":"/paper/2508.09085/citation-record.json","paper":"/paper/2508.09085"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:14:50.802418Z","title":null,"venue":null,"work_id":"b30f37ce-d5c6-42b8-94bc-460a6330cd2e","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:33.565682Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:5f800c959d982ff9595ea5da2dc7a3b9f43482834cb6e8a4b6c14f54d0a3885d","observation_id":"0b544c85-46be-4041-9724-59253305af05","resolution":{"observed_at":"2026-08-05T21:14:50.853865Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:50.535739Z","title":null,"venue":null,"work_id":"00ecd703-2929-4228-a3d7-653352fe1c1c","year":1980},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:33.626037Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:53cd3db05e02b1e3456051b897d3d2beb4ed9e0f903a2f29a83754300e6c4bac","observation_id":"79809300-d42e-4e86-a4a0-20d15eee3df9","resolution":{"observed_at":"2026-08-05T21:14:50.710239Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:50.454786Z","title":"Hamza Cherif, L","venue":null,"work_id":"251e237d-333c-49f8-a08b-eb78bd2e30c5","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:33.743334Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:0325e7ab860f37423be236ec096045db7f787fe75d73f09781a52ef2ae29b06b","observation_id":"7eb156c8-5df5-4a86-9c30-6f5e1563227b","resolution":{"observed_at":"2026-08-05T21:14:50.530324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:50.303255Z","title":null,"venue":null,"work_id":"a190e1c3-bedf-450f-980b-0a019e3e53c1","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:33.853995Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:26eb3334304afb044f7d7b7793ccaf15ee616a88e42c45fc07d1e36771ae5c11","observation_id":"01ce0706-6bc1-4313-a384-434bc61a0aca","resolution":{"observed_at":"2026-08-05T21:14:50.361053Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02592","last_updated":"2024-11-21T07:16:05Z","snapshot_observed_at":"2026-08-10T07:02:31.914617Z","submitted_at":"2024-10-03T15:34:41Z","title":"IC3M: In-Car Multimodal Multi-object Monitoring for Abnormal Status of Both Driver and Passengers","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02592","snapshot_observed_at":"2026-08-05T21:14:33.956310Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:33.956310Z"},"links":{"cited_paper":"/paper/2410.02592","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:c3cc2eb9178675b6f1d2fb935bd6303859fa2f256ab295606461633a26ec6925","observation_id":"80d5af3b-6429-4d40-a034-4443aef162db","resolution":{"observed_at":"2026-08-05T21:14:33.956310Z","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":"2026-08-05T21:14:50.093948Z","title":"Al-Khafajiy, T","venue":null,"work_id":"3d465ba2-6ab5-45f9-9a94-39f678727a03","year":2019},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.045745Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:247205f229062b589223f576330a3e47c23d840688e314cc135974dc2c3f1d50","observation_id":"90c47266-db64-42f7-ae90-219f1c01a01a","resolution":{"observed_at":"2026-08-05T21:14:50.186953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00392","last_updated":"2024-11-21T06:52:56Z","snapshot_observed_at":"2026-08-08T21:13:54.663269Z","submitted_at":"2024-10-01T04:23:27Z","title":"MERIT: Multimodal Wearable Vital Sign Waveform Monitoring","version":3},"cited_work":{"arxiv_id":"2410.00392","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.00392","snapshot_observed_at":"2026-08-05T21:14:41.139215Z","title":"MERIT: Multimodal Wearable Vital Sign Waveform Monitoring","venue":"eess.SY","work_id":"0d61dd7b-e395-42ea-9915-47ac1d666d69","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.186302Z"},"links":{"cited_paper":"/paper/2410.00392","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:f8003cb521bfc3a24386969ae111aac3b58c1801103dc70794dfd3ae34b83aa9","observation_id":"9980a038-794c-4e60-81b1-eb5f12ec0dbf","resolution":{"observed_at":"2026-08-05T21:14:41.245497Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:49.957905Z","title":null,"venue":null,"work_id":"cda8ec82-8154-445d-9621-b4948591225a","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.270065Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:dc8e92266a855ba3297476b82351840301d0685a2b82114b4bae0ea7084ab350","observation_id":"001daf78-898e-462e-a900-62c02ffca311","resolution":{"observed_at":"2026-08-05T21:14:50.024312Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:49.835869Z","title":null,"venue":null,"work_id":"1594ee4e-d2b7-44d1-91bf-6f1be5406ab5","year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.380127Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:04585ea23f368c2312761036605da00ed50497fc42a20fae453c9342f9a56a9f","observation_id":"e19c3e48-78d7-415e-b653-d5151270e813","resolution":{"observed_at":"2026-08-05T21:14:49.890582Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:49.691862Z","title":null,"venue":null,"work_id":"ae0c13be-9fe3-405f-adb7-b0d1fad0f9ad","year":2018},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.504548Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:4d0a3bf035898c767a7d2818479a3457cea227b50e366408597a5036298aaa3c","observation_id":"5af206f1-e021-4081-bb83-65ed02f71e07","resolution":{"observed_at":"2026-08-05T21:14:49.764620Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:49.500498Z","title":null,"venue":null,"work_id":"8a70d912-aef1-46dc-a692-3ca95500e5db","year":2022},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.658794Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:f48f43595cc6beffee391a216c00f921a32f48b27d04987a95c61073ceba3643","observation_id":"21ae377f-2df3-456e-abb1-c9d428a9d95a","resolution":{"observed_at":"2026-08-05T21:14:49.623539Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:49.335748Z","title":null,"venue":null,"work_id":"ee223021-f268-45e3-946f-f2cb05c92fa7","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.796385Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:2b3fb65bfb07bf9693028c4997ab9941ee70f71179882d22059db484eb9feab3","observation_id":"572cb791-8dbf-4323-98ee-7c0cba8231e1","resolution":{"observed_at":"2026-08-05T21:14:49.417137Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:49.144337Z","title":"Akbari, L","venue":null,"work_id":"5fb09945-0483-4d76-893d-c47d8f45d440","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:34.892716Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:9d80464d4643f29ccf89fb428854fb8751aea8e34678893e394d647dfcff7d8f","observation_id":"add7fc05-8dcf-4b34-a04c-87cd8b0e78ab","resolution":{"observed_at":"2026-08-05T21:14:49.231080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.02184","last_updated":"2022-03-13T01:52:28Z","snapshot_observed_at":"2026-08-07T00:15:34.035413Z","submitted_at":"2022-01-05T17:40:45Z","title":"Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.02184","snapshot_observed_at":"2026-08-05T21:14:35.054556Z","title":"Shi, W.-N","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.054556Z"},"links":{"cited_paper":"/paper/2201.02184","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:5bb238998e4c698f4cdd8d235b7ede6fbc74068b8cf9a5529c587bcf72e488d5","observation_id":"120056b9-0ef1-4f67-994f-127feb7cfcbe","resolution":{"observed_at":"2026-08-05T21:14:35.054556Z","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":"2026-08-05T21:14:48.984163Z","title":null,"venue":null,"work_id":"f08156d5-16f6-4c5a-bf38-6f95d953ec4f","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.273702Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:b211b2363f607d7422278a1dc4be8fc51a6b01229e17897138c7c584e5a0837c","observation_id":"b9112aac-b3a5-4f3b-a6af-63e8ccfaa3f2","resolution":{"observed_at":"2026-08-05T21:14:49.072957Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:48.822429Z","title":null,"venue":null,"work_id":"e58a16bc-a313-435d-b14f-3048f2dab4dd","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.384387Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:ee8c85ef28ac56601352a3e9b4005dc7e85f99faa7c17984263d9aa06f9d44a8","observation_id":"134be95e-048d-41c3-851b-ec4e27732589","resolution":{"observed_at":"2026-08-05T21:14:48.905652Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:48.677007Z","title":"Zhang, X","venue":null,"work_id":"ceb9df59-10c7-40a1-babb-f8df572bea24","year":2022},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.528683Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:c360f55baa77c316c6125d0969a270e9dc9ce934301199d0ed2176d3ac897425","observation_id":"9d146fc0-2520-45c8-a49d-170b96bec939","resolution":{"observed_at":"2026-08-05T21:14:48.742760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.22890","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T21:14:40.963249Z","title":null,"venue":null,"work_id":"65284478-5687-4aec-858a-2a226e702edd","year":2025},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.626210Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:ba75436b701554d87fa083cb5b6585476cabb82644b1f1608434171c6530005a","observation_id":"d61d9c53-057c-422a-9c28-abb7a0ba0cff","resolution":{"observed_at":"2026-08-05T21:14:41.016655Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:48.477220Z","title":null,"venue":null,"work_id":"3add3652-bfa1-49c9-949a-a9ce4ce6596f","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.752923Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:f78befe39bb4022825907e6664bf625e67c22fe493877a2120c9f8369a74f06b","observation_id":"64d0db59-1953-4407-ae1e-af3368fb4d24","resolution":{"observed_at":"2026-08-05T21:14:48.570643Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:48.331092Z","title":"Verspoor, K","venue":null,"work_id":"c4ec8ce5-13ef-41dc-ae59-df4fd3307b49","year":2012},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.826765Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:3413e279b3005449f7b19f8a64e80f888a1168dc5a77c74aa342f019719dc856","observation_id":"cb01bb4b-bbe3-4cc1-bd56-c3bf7a81a98f","resolution":{"observed_at":"2026-08-05T21:14:48.401121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07773","last_updated":"2024-08-14T18:57:05Z","snapshot_observed_at":"2026-08-10T00:35:28.198993Z","submitted_at":"2024-08-14T18:57:05Z","title":"MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series Analysis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07773","snapshot_observed_at":"2026-08-05T21:14:35.888224Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.888224Z"},"links":{"cited_paper":"/paper/2408.07773","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:c3098322118d610cca87306d4ba892660f9551cd3b75bf07dc9a808a866c8c32","observation_id":"cd8508de-f0cb-40c7-a8de-285e68630392","resolution":{"observed_at":"2026-08-05T21:14:35.888224Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16739","last_updated":"2025-06-04T07:22:47Z","snapshot_observed_at":"2026-08-03T22:38:00.596602Z","submitted_at":"2023-09-28T06:22:59Z","title":"Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16739","snapshot_observed_at":"2026-08-05T21:14:35.989666Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:35.989666Z"},"links":{"cited_paper":"/paper/2309.16739","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:2bec0c81a07458ba4a658dc19ab2014d7b7d2e555b384e060d61179524fb5251","observation_id":"db9dbf73-c237-415e-a535-714a5f7730e8","resolution":{"observed_at":"2026-08-05T21:14:35.989666Z","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":"2026-08-05T21:14:48.164358Z","title":null,"venue":null,"work_id":"024ed0fc-5ed7-41ad-9c85-554a311a101c","year":2025},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.082470Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:0bc4ea07fe2f38e5899068365416266f0c1981cf15a2c1b6d5436f5a784fa0a4","observation_id":"803c5fd9-022b-415f-ba64-53fb7586a5ad","resolution":{"observed_at":"2026-08-05T21:14:48.242300Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02795","last_updated":"2025-05-05T17:09:19Z","snapshot_observed_at":"2026-08-10T00:00:00.499429Z","submitted_at":"2025-05-05T17:09:19Z","title":"HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.02795","snapshot_observed_at":"2026-08-05T21:14:36.167606Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.167606Z"},"links":{"cited_paper":"/paper/2505.02795","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:5b18bf2845ae941af339cef7f7296c1c1b8e5fac14b764635a3cd306f24a0e91","observation_id":"80d0c145-c18d-4df9-bb1c-5d500ecd7f4a","resolution":{"observed_at":"2026-08-05T21:14:36.167606Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.06866","last_updated":"2024-04-27T06:20:26Z","snapshot_observed_at":"2026-07-06T17:15:01.812342Z","submitted_at":"2024-01-12T19:40:11Z","title":"Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.06866","snapshot_observed_at":"2026-08-05T21:14:36.232114Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.232114Z"},"links":{"cited_paper":"/paper/2401.06866","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:665866b3b12bd60d9185f2ee3e36d2e4c2e07e422981409b3563656a52d8d1e2","observation_id":"c58227e9-5fb5-45e9-ab99-4aaf10bdd108","resolution":{"observed_at":"2026-08-05T21:14:36.232114Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06448","last_updated":"2024-12-06T07:10:30Z","snapshot_observed_at":"2026-07-06T17:57:52.364338Z","submitted_at":"2024-04-09T16:50:30Z","title":"Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06448","snapshot_observed_at":"2026-08-05T21:14:36.290338Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.290338Z"},"links":{"cited_paper":"/paper/2404.06448","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:5c39bc85d1b1ef7c53f1375b2ca96f429f7ce1e7100ba32c246f79b5754032fc","observation_id":"f96b75d9-a429-4e46-93b0-5db02dfa15e0","resolution":{"observed_at":"2026-08-05T21:14:36.290338Z","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":"2026-08-05T21:14:47.977232Z","title":null,"venue":null,"work_id":"debdf024-2510-441c-ac9d-118e3b5004a6","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.403074Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:efb754049fdb3a5576feb039925e3017affaf4e08215fb054ff59c44d9295ed1","observation_id":"b18530c3-80be-447e-b607-fad07185561f","resolution":{"observed_at":"2026-08-05T21:14:48.064497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15525","last_updated":"2023-05-24T19:25:16Z","snapshot_observed_at":"2026-07-30T22:52:51.575527Z","submitted_at":"2023-05-24T19:25:16Z","title":"Large Language Models are Few-Shot Health Learners","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15525","snapshot_observed_at":"2026-08-05T21:14:36.506119Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.506119Z"},"links":{"cited_paper":"/paper/2305.15525","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:10a4b486ebf76b0ec4d3da2c692d1ad687e79e5def59c5fc73f4f1f73af04e3d","observation_id":"cb619425-abb4-4652-a944-7566ab621f0e","resolution":{"observed_at":"2026-08-05T21:14:36.506119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03718","last_updated":"2025-03-29T10:23:36Z","snapshot_observed_at":"2026-08-07T16:28:43.452194Z","submitted_at":"2025-03-29T10:23:36Z","title":"Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge","version":1},"cited_work":{"arxiv_id":"2504.03718","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.03718","snapshot_observed_at":"2026-08-05T21:14:40.657344Z","title":"Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge","venue":"cs.LG","work_id":"ff02d717-7e6a-4e44-a877-ab002093f1e6","year":2025},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.597593Z"},"links":{"cited_paper":"/paper/2504.03718","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:af0b4b9c2f4b35db56344dd65b3ca01e97fd2e0a47b8dec190a00f2e5357450d","observation_id":"d618c708-af21-42dc-8adf-5f112c99703d","resolution":{"observed_at":"2026-08-05T21:14:40.702451Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:47.853755Z","title":null,"venue":null,"work_id":"3b3f8abb-fdc3-43ba-ad66-953f39352e21","year":1930},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.793056Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:a62dce1463d63e353fbfdef7804f86a73b849b884477c0bcef9b9ebda1d4ba04","observation_id":"de4025e2-5648-4be3-9e57-bb690bc1ad41","resolution":{"observed_at":"2026-08-05T21:14:47.901285Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13549","last_updated":"2024-11-29T15:51:23Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-23T15:21:52Z","title":"A Survey on Multimodal Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13549","snapshot_observed_at":"2026-08-05T21:14:36.938514Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:36.938514Z"},"links":{"cited_paper":"/paper/2306.13549","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:eb9a72ade40520d40702039aec4aa26a330934aa249a0a86b8935dce857cf8b8","observation_id":"6d08d426-bb5e-454a-b32a-78cdf1eba9fe","resolution":{"observed_at":"2026-08-05T21:14:36.938514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16413","last_updated":"2024-05-26T03:05:10Z","snapshot_observed_at":"2026-07-06T18:20:01.382394Z","submitted_at":"2024-05-26T03:05:10Z","title":"Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models","version":1},"cited_work":{"arxiv_id":"2405.16413","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.16413","snapshot_observed_at":"2026-08-05T21:14:40.545087Z","title":"Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models","venue":"cs.AI","work_id":"e966efa9-5dfd-4e58-8e8c-1e2ced48009e","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.054609Z"},"links":{"cited_paper":"/paper/2405.16413","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:b60dfb1cc83f09a8389ef8b737cd399b73c56b18fd675e0dfce241a5a65ae432","observation_id":"93e34e43-0b11-46af-9474-c13ebcaa7047","resolution":{"observed_at":"2026-08-05T21:14:40.585769Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00952","last_updated":"2024-07-01T04:13:25Z","snapshot_observed_at":"2026-08-09T00:00:59.056808Z","submitted_at":"2024-07-01T04:13:25Z","title":"SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00952","snapshot_observed_at":"2026-08-05T21:14:37.164008Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.164008Z"},"links":{"cited_paper":"/paper/2407.00952","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:c9c3534c21d54d5be7a3fff56a6cc40c03a4c9d78ea41028d49afc7a2302764f","observation_id":"1501f989-a593-4669-b4ae-5d6c95eb380f","resolution":{"observed_at":"2026-08-05T21:14:37.164008Z","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":"2026-08-05T21:14:47.682268Z","title":null,"venue":null,"work_id":"4f1b707e-e762-4747-b01d-bcd8ab51dc63","year":2025},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.245381Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:19158c89f4e7f91dd172e7e9678e08b8d0624015470b2233b5f6b5d223ec6da4","observation_id":"8e3b032d-492b-4bbd-9232-ba3ad7ef56d8","resolution":{"observed_at":"2026-08-05T21:14:47.770046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.06345","last_updated":"2024-04-21T09:12:19Z","snapshot_observed_at":"2026-07-06T17:57:48.153936Z","submitted_at":"2024-04-09T14:33:16Z","title":"AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.06345","snapshot_observed_at":"2026-08-05T21:14:37.331622Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.331622Z"},"links":{"cited_paper":"/paper/2404.06345","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:54ce256e82786994d401f2689b076b5e42034437410822e349c7ebf2e2d70268","observation_id":"220095c2-6e13-40ea-a927-ca2b749e959c","resolution":{"observed_at":"2026-08-05T21:14:37.331622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20081","last_updated":"2024-05-31T07:40:04Z","snapshot_observed_at":"2026-07-06T18:22:44.129954Z","submitted_at":"2024-05-30T14:11:27Z","title":"NoiseBoost: Alleviating Hallucination with Noise Perturbation for Multimodal Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20081","snapshot_observed_at":"2026-08-05T21:14:37.409500Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.409500Z"},"links":{"cited_paper":"/paper/2405.20081","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:ddecec452f070c0fbbf17063c57ca5b07a6780f1c73004b6eca23049005cad60","observation_id":"41466627-7ff3-4c49-9a84-0f311c35f6b6","resolution":{"observed_at":"2026-08-05T21:14:37.409500Z","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":"2026-08-05T21:14:47.522995Z","title":null,"venue":null,"work_id":"46a64ee2-789e-41c3-a5ad-bb9bdbd5eab9","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.465136Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:122a5f36999683d3c7c7b842bf86b7e2ccc18ca1d1af68b9273327d3bb437dbb","observation_id":"360af73a-6cd6-45a7-8fc7-eb3f0a18bcbb","resolution":{"observed_at":"2026-08-05T21:14:47.596027Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:47.336082Z","title":null,"venue":null,"work_id":"a52e9f2f-4c29-486f-986f-b4f625303828","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.524340Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:4ba5ce3a26a1854a31ac5cc43cce71201caa4761e7621971059008292ee249f8","observation_id":"a0e6abc4-901f-4c9a-91a2-4a1bd7e07c32","resolution":{"observed_at":"2026-08-05T21:14:47.422680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:47.157946Z","title":null,"venue":null,"work_id":"c365752f-1f29-4fdb-ab1c-ec42b74230fd","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.587395Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:d25eab429c93c592d2c91d91639cc15f5ab962b83e49cf9003e426ec1fbb6c2c","observation_id":"28eef67c-d504-417b-9e08-1e7f21a68ede","resolution":{"observed_at":"2026-08-05T21:14:47.225919Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:46.995593Z","title":null,"venue":null,"work_id":"3efa3d26-1f9e-4fe7-8d77-3b7cfd52b17e","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.623320Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:b790024ea3aaf6d2836d6e87f189df57f3cce35c3af534f061857519b1181bc3","observation_id":"8db65947-6e6f-4d8a-8c9e-15f99b29ade7","resolution":{"observed_at":"2026-08-05T21:14:47.096978Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:46.806581Z","title":"Perera, R","venue":null,"work_id":"e52be975-0f86-4252-807b-5a7a37f9247e","year":2019},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.683272Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:961ceb37088c23aa7c95d9f8dcefa2548805f702ff8252b6d77b74ffaa7dd447","observation_id":"6751357b-9863-4d9f-96a0-9d5540fee09c","resolution":{"observed_at":"2026-08-05T21:14:46.905316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12712","last_updated":"2023-04-13T20:41:31Z","snapshot_observed_at":"2026-08-03T04:49:15.195814Z","submitted_at":"2023-03-22T16:51:28Z","title":"Sparks of Artificial General Intelligence: Early experiments with GPT-4","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12712","snapshot_observed_at":"2026-08-05T21:14:37.753500Z","title":"Bubeck, V","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.753500Z"},"links":{"cited_paper":"/paper/2303.12712","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:cde0366b9dbd34c592339db094135f35a010b21987af488300051913964ff490","observation_id":"ad3b3136-ffdb-49d0-a1b1-27fa3984fc79","resolution":{"observed_at":"2026-08-05T21:14:37.753500Z","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":"2026-08-05T21:14:46.609874Z","title":null,"venue":null,"work_id":"fd2388e9-cc43-4d49-8088-bed581c7acb4","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.823401Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:b89a0a9e889fb47d9844204b03000596d49e0e7db9537fbdc7194f009d948ab0","observation_id":"bc0ac7da-2ddb-4a93-aab9-473702e11a62","resolution":{"observed_at":"2026-08-05T21:14:46.711104Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T21:14:37.918322Z","title":"Touvron, T","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.918322Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:c61d6f8d61298f9f12e55773204f69cdbb4b6f4c5094ef5668f0c33c51c721f8","observation_id":"4f9dab2e-2a04-41d1-a4d2-04cef86dc3f4","resolution":{"observed_at":"2026-08-05T21:14:37.918322Z","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":"2026-08-05T21:14:46.404592Z","title":"Bolton, D","venue":null,"work_id":"2b766bc5-cadd-4828-8621-30f8eaf092a1","year":2022},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:37.990307Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:dc9636de31daf503f82a3d7e2292fde0e79f3b6ad26995f02250282bc51d1768","observation_id":"c8487990-9af0-415d-9d88-cf5980ce2250","resolution":{"observed_at":"2026-08-05T21:14:46.501424Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:46.168390Z","title":null,"venue":null,"work_id":"9781fac4-4315-4f7c-8c48-538492b22be2","year":2022},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.090305Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:a6b7b83962c86c499a0794c0a2fdc41f84c199915d910b7add29813621d343ac","observation_id":"aa73623d-7e48-47ac-8ade-fe40fa169ecd","resolution":{"observed_at":"2026-08-05T21:14:46.276288Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:46.010048Z","title":"Singhal, S","venue":null,"work_id":"66facb6b-3c95-4901-8e32-f7149b68b3b0","year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.174383Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:c2ed7320e846cec8e2bc351be3c44cfba05ae0e0218935659a731f38e74eb01b","observation_id":"f7fd387e-87e0-4068-ab2f-2d6713f07de2","resolution":{"observed_at":"2026-08-05T21:14:46.063536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:45.828119Z","title":"Nagrani, S","venue":null,"work_id":"60717d99-9fe4-4b2c-b42d-1a70089e4da7","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.233687Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:42a8cd4a0076cd2968a96902ed671a3f9df2e691113cb980300cbe9f624af9f4","observation_id":"157cade8-001d-4987-b7a3-87f0529ce189","resolution":{"observed_at":"2026-08-05T21:14:45.912827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:45.634917Z","title":"Blundell, J","venue":null,"work_id":"6344b098-b6ff-432c-817b-b4e0d4a0ec03","year":2015},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.321015Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:43c3e4cbb2fa203646a66cd46b11c0d12c1c1792ac9662eacab8ab635fe7bf9d","observation_id":"cb035191-d787-4304-97f2-ba55b9bf7088","resolution":{"observed_at":"2026-08-05T21:14:45.735527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:45.421634Z","title":"Gal and Z","venue":null,"work_id":"fb0ed934-d4e1-49e7-aa45-4872c2cb4d16","year":2016},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.393940Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:cfa3a0b32f2abfadc0ad4916318198041cb989976282d959920bb4a002f48a33","observation_id":"6aea79cb-1bfc-4ebc-ac91-00c33620dd55","resolution":{"observed_at":"2026-08-05T21:14:45.524992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:45.247292Z","title":null,"venue":null,"work_id":"35929223-d67f-4c1a-8e8b-c868fb53fe23","year":2019},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.444419Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:dd201f11bff8cbdbfcc8c503a9848d10d896076def44cc7446cd12f0ee44b7ee","observation_id":"2cb09801-c9ab-4c27-abb4-4cf3157c0d33","resolution":{"observed_at":"2026-08-05T21:14:45.341237Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:45.026756Z","title":"Subedar, R","venue":null,"work_id":"b6a12ec2-bea5-4652-8ff9-92775779d98c","year":2019},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.522720Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:550ca207f663c6486e950cfaa7cee818a7768aca0d09dbc0423100c5fb4fc649","observation_id":"8e70676b-bf8a-4b5c-a6bf-ba2a4b0c33cc","resolution":{"observed_at":"2026-08-05T21:14:45.137869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:44.818384Z","title":null,"venue":null,"work_id":"8e73fe86-dc86-4bee-af94-b040fecefa7f","year":2023},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.592198Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:7ba88c9c2800ccc7bba9e81bf0d8f445a956f44efd0ef4d0d760ee9c4300ce2a","observation_id":"f38020d1-095b-4835-b3c5-4dfa31df0d47","resolution":{"observed_at":"2026-08-05T21:14:44.914192Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:44.670259Z","title":null,"venue":null,"work_id":"c60828a7-2dae-4e66-aa6c-c498f06b27c2","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.684354Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:0736cef2fcd03a6506df55ad4a0c9d8c3d17e2886c9a7b9d99e46022761a20f1","observation_id":"22651775-374e-4315-9a52-af9ac06f6885","resolution":{"observed_at":"2026-08-05T21:14:44.766333Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:44.506996Z","title":"Chang, Z","venue":null,"work_id":"cd37ebdb-53ed-44dd-bab5-ae006521c8a7","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.772397Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:25bd358e75e00ce307b84560f0d2677799278b716b491af440442353d52b3871","observation_id":"73ecb80d-bc58-41fd-b23c-44c3d69d7f0b","resolution":{"observed_at":"2026-08-05T21:14:44.586029Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:44.337977Z","title":"Kwon, J.-H","venue":null,"work_id":"d6d73125-297b-414b-a00f-be00e03cac18","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.860449Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:6ef23b88198ac84bd0614b78d50ee0fa805aa402cccd680d0718a46639734816","observation_id":"093bb91d-ddeb-442d-aea8-8bda7d8eafc5","resolution":{"observed_at":"2026-08-05T21:14:44.431030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:44.138611Z","title":"Harper and J","venue":null,"work_id":"6843d4d6-b973-4f97-8494-570358e6f190","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:38.958043Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:73c26c3299271c365e19fa49d6ccbd8acb783db7c52a248ba284cc9a80b89a6c","observation_id":"7f3bfc16-adb6-4a58-9257-ded243b1e252","resolution":{"observed_at":"2026-08-05T21:14:44.242302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:43.956235Z","title":null,"venue":null,"work_id":"435423f1-5f32-4107-92ff-76f457724d86","year":2017},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.018134Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:7eb73330193f639c544d5e5e047230ddf7622dc3bc77246af53aa6690a103e38","observation_id":"f9e22f6d-ecb6-495f-a769-4c9d16dca6a4","resolution":{"observed_at":"2026-08-05T21:14:44.033004Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:43.740340Z","title":"Kuleshov, N","venue":null,"work_id":"85c043e5-e45c-49b3-8707-44d05e21de4e","year":2018},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.106304Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:e3de3b1e2446089a76312c5f22238597aed7ba88a1a5c4de76e1dde2fc86917f","observation_id":"648c65e7-36d8-489a-bc46-ea8849097e7f","resolution":{"observed_at":"2026-08-05T21:14:43.849692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:43.591228Z","title":"Mukhoti, V","venue":null,"work_id":"0d40843a-9e49-48f9-81cf-ea8dd13fcfee","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.152448Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:365191b324b707d5ee5fae861949ad4b0dccd5517d1692dee7415fe0d5479a4a","observation_id":"2861d7c8-abd4-437a-9dd5-40261099fcf0","resolution":{"observed_at":"2026-08-05T21:14:43.664742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:43.461680Z","title":"Sanchez, M","venue":null,"work_id":"337e8008-16cb-4433-8237-bed1733bd412","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.269576Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:abe029ae200be263e2ae5873eba3ca9e85cbd49c5e5aaa6ce4be29e2d20df681","observation_id":"8a7e8eb1-de0f-45e9-a769-9614546852c1","resolution":{"observed_at":"2026-08-05T21:14:43.544909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:43.292051Z","title":null,"venue":null,"work_id":"e6f81892-f569-470a-b1c5-80d7fc3b87bd","year":2017},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.384200Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:907f8ab67ce9788c88c8d0214897600031cf610f10441d4c605b1f9ca26b752f","observation_id":"151e2ca2-107b-41ae-8dd6-fe3940737a08","resolution":{"observed_at":"2026-08-05T21:14:43.375283Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:43.108352Z","title":"Taamneh, P","venue":null,"work_id":"d6632104-6297-4d38-af8c-7acd6937b72c","year":2017},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.470027Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:187103371912e918f0b207c71c546395a7f468ead60632d2789e1b4b7cd5fe3c","observation_id":"59da4505-327a-42c3-9018-bdc123dc579e","resolution":{"observed_at":"2026-08-05T21:14:43.196208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:42.957954Z","title":"Nguyen, J","venue":null,"work_id":"0c23983c-deaa-4c50-984b-501a5623a8db","year":2015},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.551944Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:9425caf67a42b1dbab03ab1a4a04a8432f3ab4dd9ae0d3a013f7150a92f30836","observation_id":"375ec6ac-f6f0-4140-a5de-10e43f6cf619","resolution":{"observed_at":"2026-08-05T21:14:43.024875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:42.761445Z","title":null,"venue":null,"work_id":"ba3e78f5-f444-499e-ac41-be0021d38052","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.632128Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:77cf0a7444a18f7a1df1244148470a4b7441d1b01c7617aebb6180eb8da2d065","observation_id":"0f119437-b83c-496c-8ae9-56b8a0919e01","resolution":{"observed_at":"2026-08-05T21:14:42.868710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:42.528667Z","title":"Mart \\' nez-Villase \\ n or, H","venue":null,"work_id":"d495326f-1735-48c0-85af-f2253deca627","year":1988},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.702832Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:558f397b5af8d6896c25381d1650af8d57b58042f61c25d1045af95c58c662d3","observation_id":"9248899c-37d2-4454-b08a-c0a1060f4b48","resolution":{"observed_at":"2026-08-05T21:14:42.639981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:42.397530Z","title":"N e mcov \\'a , V","venue":null,"work_id":"eecd0ec5-14a9-464f-a858-bff5ad7b812a","year":2020},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.773464Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:e6c06039bcf35b956791f128e09fef6b2800dc6e68662e9b5d81a3fa4f14bcfd","observation_id":"20796d43-e757-4244-bb30-b281a86af7fc","resolution":{"observed_at":"2026-08-05T21:14:42.475885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:42.162030Z","title":null,"venue":null,"work_id":"9e118786-678d-46db-81fc-eddd8a01cb65","year":2021},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.864854Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:12c9195e8d962b51afe2d124ce82ff1837398fddf47b3341623fdb66b5e4389d","observation_id":"4b759b41-66dc-4ad7-be65-efd4455944c7","resolution":{"observed_at":"2026-08-05T21:14:42.286046Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:41.891890Z","title":null,"venue":null,"work_id":"729dc623-dddd-49af-bef0-660e1f80a7fd","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:39.928809Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:809d8e8c12f28e0b6492bdd3b10fbdb4364f9668846a56718b2e22fcfc1df45f","observation_id":"69b74526-6594-4a94-80cc-108e01085add","resolution":{"observed_at":"2026-08-05T21:14:42.006149Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T21:14:41.674037Z","title":null,"venue":null,"work_id":"ccba9e11-06ee-4561-964b-abd01c785b94","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:40.023648Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:31cf7337c9ffe2244c53c6a0f0cf02cd5422c500a7dc82f80198ffddb33c4a66","observation_id":"9d05c010-4478-405d-84e7-4ea9900cb263","resolution":{"observed_at":"2026-08-05T21:14:41.793575Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.01850","last_updated":"2025-01-03T14:59:48Z","snapshot_observed_at":"2026-08-09T15:55:47.592784Z","submitted_at":"2025-01-03T14:59:48Z","title":"LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.01850","snapshot_observed_at":"2026-08-05T21:14:40.112170Z","title":"Zhang, H","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:40.112170Z"},"links":{"cited_paper":"/paper/2501.01850","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:8984ea638b980db161bcd145a86360648084326ef96149ed86ef24b918fd46e5","observation_id":"342e8b2b-f08e-46f2-9ddd-31b0fbddc4bd","resolution":{"observed_at":"2026-08-05T21:14:40.112170Z","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":"2026-08-05T21:14:41.406699Z","title":null,"venue":null,"work_id":"91c2ca2d-9c22-4279-b4c8-fa2b17111228","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:40.203778Z"},"links":{"citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:a3f3676fe348fe23f18845084bed2518f4e3f34f08be62e6bc19d72c4cf6135c","observation_id":"47ae020f-3064-4099-880a-892029d48b8b","resolution":{"observed_at":"2026-08-05T21:14:41.553468Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.16460","last_updated":"2024-03-29T08:46:16Z","snapshot_observed_at":"2026-08-10T03:08:38.723530Z","submitted_at":"2024-03-25T06:43:28Z","title":"FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data","version":2},"cited_work":{"arxiv_id":"2403.16460","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.16460","snapshot_observed_at":"2026-08-05T21:14:40.380410Z","title":"FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data","venue":"cs.LG","work_id":"8f1be83b-5660-4ee8-8e87-894a3cb8f153","year":2024},"citing_paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-05T21:14:40.273521Z"},"links":{"cited_paper":"/paper/2403.16460","citing_paper":"/paper/2508.09085"},"observation_digest":"sha256:4608b54885eb09791e776642ec98fa558b468900b9a18516c80f1feae3b5eb85","observation_id":"3463e126-5d27-4a2e-b4bc-f5d5efd5cabf","resolution":{"observed_at":"2026-08-05T21:14:40.434081Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.09085","last_updated":"2025-08-12T17:07:27Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-07T08:15:26.153638Z","submitted_at":"2025-08-12T17:07:27Z","title":"Dynamic Uncertainty-aware Multimodal Fusion for Outdoor Health Monitoring"},"reference_resolution":{"displayed":73,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":5,"verified_fuzzy":22},"total_outbound_references":73},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 3 inbound Pith citation observations for arXiv:2508.09085."}