{"as_of":"2026-08-10T23:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6a738e626d6f0b2687d4839aaf33fb67ac646f82ebad79dede137f341e1b2d0b","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T23:11:00.950712Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.18531/citation-record","integrity":"/paper/2501.18531/integrity","json":"/paper/2501.18531/citation-record.json","paper":"/paper/2501.18531"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T23:11:01.524170Z","title":"Finding and evaluating community structure in networks,","venue":null,"work_id":"04ff6dec-c239-41c9-9dfa-9f044eec64f7","year":2004},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.792915Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:a822980ebc83d0278a0c5843801157361e40bc70afe323d90f5a6cb49e754b7e","observation_id":"723f22d5-ac34-4a23-ab3b-66eff0011389","resolution":{"observed_at":"2026-08-09T23:11:01.529482Z","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":"2026-08-09T23:11:01.505608Z","title":"Role of contact tracing the ebola 2014 outbreak: A review,","venue":null,"work_id":"1847e165-38c7-4448-88d1-976dcefc6fcb","year":2014},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.799217Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:fd94222427b7b1fcd9f7baf5552204aca9afff31c1306b18099d4dfd557d13ed","observation_id":"b8d85d0b-4527-4c05-a804-7c5996a9648b","resolution":{"observed_at":"2026-08-09T23:11:01.512455Z","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":"2026-08-09T23:11:01.486921Z","title":"An exploratory study on rabies exposure through contact tracing in a rural area near bengaluru, karnataka, india,","venue":null,"work_id":"f44d9791-b4b6-4f46-b46d-7f429c9b84b8","year":2018},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.804696Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:bec52dd1606ae809804f836227839482f4d4e86af16a40d2cd8e69291a271860","observation_id":"e3980833-024e-4ac7-8e2e-42e4d60513a6","resolution":{"observed_at":"2026-08-09T23:11:01.493274Z","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":"2026-08-09T23:11:01.465638Z","title":"Aerosol transmis- sion of sars-cov-2? evidence, prevention and control,","venue":null,"work_id":"e198776d-2620-48ab-a0ec-c755c95bfc15","year":2020},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.810144Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:feb4087ac035e322223a7a3e53070ac70b626588b8fc549c01e3d9105b644aed","observation_id":"ad8dba6b-323f-4c33-ad2e-5aa80ef6dc42","resolution":{"observed_at":"2026-08-09T23:11:01.471581Z","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":"2026-08-09T23:11:01.445706Z","title":"Evidence of respira- tory syncytial virus spread by aerosol. time to revisit infection control strategies?","venue":null,"work_id":"ee9b4cee-c168-4c4a-b776-0f4cdb342891","year":2016},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.816397Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:6daf329f68f9dadaed88ff43074a3a60eaab62b5470a0c74c5ea11452d3307e0","observation_id":"87348c66-f856-43b0-b8de-fb732489a09f","resolution":{"observed_at":"2026-08-09T23:11:01.451388Z","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":"2026-08-09T23:11:01.423608Z","title":"Review of aerosol transmission of influenza a virus,","venue":null,"work_id":"1afeb547-31a7-45b1-b649-22e543d6d26f","year":2006},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.823514Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:f5942dbf306a4348cf06682d3df2b40662e0827ce14371049dc9bb1f858157aa","observation_id":"484c37c1-f21c-4fd7-8211-a3538e7667a0","resolution":{"observed_at":"2026-08-09T23:11:01.429446Z","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":"2026-08-09T23:11:01.407373Z","title":null,"venue":null,"work_id":"8b493428-392a-45c8-8c54-76b8a8ea435c","year":2022},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.829503Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:f4949c352e20a65412f232cdca78c32eda443e28b1960544a2f607df87d85bb6","observation_id":"36c4bf7f-edf7-4393-8766-4bb48e8c1dab","resolution":{"observed_at":"2026-08-09T23:11:01.412269Z","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":"2026-08-09T23:11:01.390661Z","title":"Facilitators and barriers to engagement with contact tracing during infectious disease outbreaks: A rapid review of the evidence,","venue":null,"work_id":"f7e0e37c-ef1d-414d-86b7-e66b36fcdbdb","year":2020},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.834643Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:d25c1cc8a8e2acbd8dc974127d656e2764b4b7a199d539c8c2c6522e0cf84f40","observation_id":"1fc7e310-b6a3-4651-bd00-ff0aa537a067","resolution":{"observed_at":"2026-08-09T23:11:01.395514Z","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":"2026-08-09T23:11:01.373919Z","title":"Contact tracing reveals community transmission of covid-19 in new york city,","venue":null,"work_id":"65d21927-096a-48a1-97e2-848169aeb204","year":2022},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.839858Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:fb6205b1508711ee2563b230ce766778dd4015e630413a247aea9423d2e39fb0","observation_id":"e2f99dfb-6a90-49ce-8451-25eba27defb5","resolution":{"observed_at":"2026-08-09T23:11:01.379246Z","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":"2026-08-09T23:11:01.355409Z","title":"Wastewater surveil- lance of sars-cov-2 across 40 u.s. states from february to june 2020,","venue":null,"work_id":"ae005f09-5f28-4a99-b763-20d23414d91d","year":2020},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.845926Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:464bd35cd2e5b1541578f78c414473c8168828ec1c2b68433e70dadde5ca73e0","observation_id":"33432215-1f1a-491b-8ea4-e71bb7ff510c","resolution":{"observed_at":"2026-08-09T23:11:01.361824Z","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":"2026-08-09T23:11:01.339111Z","title":"Digital exposure notification tools: A global landscape analysis,","venue":null,"work_id":"faaa361b-7cd3-4eab-8f74-dd7c1a278952","year":2023},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.851181Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:51133cb8c0fadaacd06d6fad8e01ba5b7a8082a26bd46fb626a55a4f54e35469","observation_id":"7808c0dc-0a48-4cbb-b482-7668a3b98d13","resolution":{"observed_at":"2026-08-09T23:11:01.344153Z","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":"2026-08-09T23:11:01.323420Z","title":"com / products/visits/","venue":null,"work_id":"98085936-78eb-4f99-bf23-462df6a54047","year":null},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.857240Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:0b11bc63084af76896ca5b05620fef93ba91689f788cc293972e23689ce8ef93","observation_id":"2d15a2b6-1aea-4605-b77a-6deef3baa934","resolution":{"observed_at":"2026-08-09T23:11:01.328652Z","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":"2026-08-09T23:11:01.305850Z","title":"Infection in social networks: Using network analysis to identify high-risk individu- als,","venue":null,"work_id":"560a8065-3b08-4386-957c-88cf7109e57f","year":2005},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.862925Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:d0db977f2033a9473f6155eb66cfab61e18ffdc6c2424461ae17765ffdd1ab88","observation_id":"064c4577-34c7-421e-b090-ad6796b92c52","resolution":{"observed_at":"2026-08-09T23:11:01.311377Z","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":"2026-08-09T23:11:01.289169Z","title":"Seir modeling of the covid- 19 and its dynamics,","venue":null,"work_id":"dd11f07c-d424-4a72-b0ac-4b4c1b7cf70b","year":2020},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.868359Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:6213eeb86c9f87322c9256ff17510a06f59b71fd9f24b3644d0fc7de30b5071e","observation_id":"c579cbfc-1d0a-4bdc-ac68-e0f58aa3c98a","resolution":{"observed_at":"2026-08-09T23:11:01.293772Z","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":"2026-08-09T23:11:01.269891Z","title":"Surveillance and control measures during smallpox outbreaks,","venue":null,"work_id":"ae10d29e-dd17-4b0a-b1dc-ec9eca2aa5d3","year":2005},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.873805Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:009d4065c8317456defd8af68107402b0e25f6fdecb52fd4d32c463aebc7111e","observation_id":"700a71d4-9990-44e6-9210-21f6375251a9","resolution":{"observed_at":"2026-08-09T23:11:01.275652Z","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":"2026-08-09T23:11:01.251607Z","title":"Interventions to improve contact tracing for tuberculosis in specific groups and in wider populations: An evidence synthesis,","venue":null,"work_id":"acd443fd-f778-416c-8e7b-c309fa7edf02","year":2017},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.879429Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:abeef15f7ec6107b89ea3f26d9b1b6315d23a924918b4fbf71beb29e2993f99e","observation_id":"b1b4b9b5-7e9e-4f99-9a57-08bb594917d6","resolution":{"observed_at":"2026-08-09T23:11:01.257147Z","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":"2026-08-09T23:11:01.233869Z","title":"Systematic scoping review of the im- plementation, adoption, use, and effectiveness of digital contact tracing interventions for covid-19 in the western pacific region,","venue":null,"work_id":"eef08be9-648e-41c5-ab15-107a4ec2bd64","year":2023},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.884817Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:a3c696d43af1528c9c47e490848d5516353fa85dfec3ab918f6a8b8dae292372","observation_id":"0e4a6469-3433-4628-964d-74905fb74e61","resolution":{"observed_at":"2026-08-09T23:11:01.239661Z","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":"2026-08-09T23:11:01.211156Z","title":"Use of a digital contact tracing system in singapore to mitigate covid-19 spread,","venue":null,"work_id":"cbe71cfb-508d-456c-870b-5f27829f8bba","year":2023},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.890661Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:94e51794b8254e41cd597b37eddbb480188a4d214babb045fad3fb7a7bdcf203","observation_id":"1f266435-667e-423f-bc08-4e56d6a06983","resolution":{"observed_at":"2026-08-09T23:11:01.220320Z","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":"2026-08-09T23:11:01.188149Z","title":"Quantifying sars- cov-2 infection risk within the google/apple exposure notification framework to inform quarantine recommen- dations,","venue":null,"work_id":"4f2ca936-6ce9-4439-93cc-be6bde2d55b5","year":2022},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.895556Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:5d7e25ac458b6ea04d800404de1dd8fbe0c658f95fcfbc449995291779f746b3","observation_id":"67c767b3-9c60-49fc-969a-140df3afac40","resolution":{"observed_at":"2026-08-09T23:11:01.196344Z","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":"2026-08-09T23:11:01.167517Z","title":"Lessons learned from the investigation of a covid-19 cluster in creil, france: Effectiveness of targeting symptomatic cases and conducting contact tracing around them,","venue":null,"work_id":"3d2f3d8e-e18c-4917-8bf4-372493612749","year":2021},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.900276Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:6909ec6be1f7a523885999b5bf39ed381e8b20fa2bb11a09545b4a7aa21d1e15","observation_id":"49e4245f-52f3-4eac-a619-0af8818295ab","resolution":{"observed_at":"2026-08-09T23:11:01.174346Z","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":"2026-08-09T23:11:01.147774Z","title":"Halting sars-cov-2 by targeting high-contact individuals,","venue":null,"work_id":"440e3c8e-307f-469b-8675-13b3b6b69192","year":2020},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.905394Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:174ba31f5ea1bafaec7b91a8264c8035b7b719aab964ad0d6c38d2d0dfda4cd1","observation_id":"a33e92d4-3c51-4c4f-8e66-129be1443eca","resolution":{"observed_at":"2026-08-09T23:11:01.153624Z","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":"2026-08-09T23:11:01.130122Z","title":"Effective so- cial network-based allocation of covid-19 vaccines,","venue":null,"work_id":"3bf2edad-4615-4d4d-a475-90cea5f495eb","year":2022},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.910500Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:205cbda0511716391fb415588be6e94ecedd36fac4502146fbe59856071c9353","observation_id":"f3aca2e9-77ea-4cb1-acf0-8d55f008b826","resolution":{"observed_at":"2026-08-09T23:11:01.136228Z","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":"2026-08-09T23:11:01.110087Z","title":"Targeted pandemic containment through identifying local contact network bottlenecks,","venue":null,"work_id":"d982c15b-3c40-44a1-ba3f-103fa937c654","year":2021},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.915077Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:32fdd20e7aedaf762e5dbfd243f1b6efec8b917314f060eea76ea5df0a8b98e3","observation_id":"a1b1558f-e859-440f-a23e-17a022a07e64","resolution":{"observed_at":"2026-08-09T23:11:01.115918Z","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":"2026-08-09T23:11:01.090363Z","title":"State-based targeted vaccination,","venue":null,"work_id":"e1e0b065-5bef-4a36-9138-26f2437e7c8c","year":2021},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.919740Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:520dcde57ed3c0cd131a7b750482bd541766ac3c4e2536b826d4436e300d795d","observation_id":"9f990a56-541d-431f-85fb-341129670be7","resolution":{"observed_at":"2026-08-09T23:11:01.095729Z","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":"2026-08-09T23:11:01.072656Z","title":"Bidirectional contact tracing could dramatically improve covid-19 control,","venue":null,"work_id":"3963fa57-76d9-4f28-8b55-60c31ff2224e","year":2021},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.924531Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:e94ca113f8ee3712d9c8746b1f07f397242e546c29f80eee2304d2fec9eca2a2","observation_id":"fc22ee8c-0a91-4542-8477-2bf6086a9599","resolution":{"observed_at":"2026-08-09T23:11:01.077971Z","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":"2026-08-09T23:11:01.052779Z","title":"The graph neural network model,","venue":null,"work_id":"60321068-4387-4972-83a1-d9eb8f1f2310","year":2009},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.929447Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:9b919275188e2e8e54b46c89de003f32d0d98a49e768c877257bbea9d5c95357","observation_id":"c60b29ee-699c-4c03-b300-41ae2dd9859d","resolution":{"observed_at":"2026-08-09T23:11:01.058614Z","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":"2026-08-09T23:11:01.031474Z","title":"Semi-supervised classification with graph convolutional networks,","venue":null,"work_id":"db6a6a2c-6c6f-4b2b-a8c5-8f75d1b6eb6f","year":2017},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.934611Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:38f7469fa91d1df79ba69546827277f4b89d6a02a50fce870202300386c273d9","observation_id":"1354d561-aca6-4dfd-a0d9-4b3215afe068","resolution":{"observed_at":"2026-08-09T23:11:01.039299Z","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":"2304.04300","last_updated":"2023-04-09T19:21:46Z","snapshot_observed_at":"2026-08-10T20:36:29.643337Z","submitted_at":"2023-04-09T19:21:46Z","title":"Class-Imbalanced Learning on Graphs: A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.04300","snapshot_observed_at":"2026-08-09T23:11:00.945560Z","title":"Practical considerations for measuring the effective reproductive number, rt,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.945560Z"},"links":{"cited_paper":"/paper/2304.04300","citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:4e376992460d692e5490d5d6bb17f2e3f9c6a8c16731619a75ee244cea93ba90","observation_id":"55224835-e57e-4257-8075-496ebf49ee35","resolution":{"observed_at":"2026-08-09T23:11:00.945560Z","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":"2026-08-09T23:11:01.007306Z","title":null,"venue":null,"work_id":"8835cba4-a681-4302-93e1-c0c17bdda25d","year":1979},"citing_paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T23:11:00.950712Z"},"links":{"citing_paper":"/paper/2501.18531"},"observation_digest":"sha256:a4504845ef7bc221e066b9465657cfb933b8e7169c39015933a3e90bc76e7868","observation_id":"83fa98a8-398d-4b3e-9bd2-cdfade75573e","resolution":{"observed_at":"2026-08-09T23:11:01.015127Z","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"}}],"paper":{"arxiv_id":"2501.18531","last_updated":"2025-01-30T17:57:15Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-10T20:36:49.099780Z","submitted_at":"2025-01-30T17:57:15Z","title":"Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":29},"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 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2501.18531."}