{"as_of":"2026-08-23T06:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c4c0132ef509373560eaf9eab7892efde7d46f208e1a66036e23ff0483f9ed18","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:49:56.677935Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2506.20585/citation-record","integrity":"/paper/2506.20585/integrity","json":"/paper/2506.20585/citation-record.json","paper":"/paper/2506.20585"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:49:59.533408Z","title":"ETA Prediction with Graph Neural Networks in Google Maps,","venue":null,"work_id":"3dba12d0-1b76-4e45-9912-20e43edf08ef","year":2021},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:54.711835Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:0ba7c5f90d1d1a71563f53f515d2460b27269780b1166b2eb6514c2e834145bd","observation_id":"17987309-0db4-49d4-9081-78f10094ebc5","resolution":{"observed_at":"2026-08-06T22:49:59.589811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:59.370429Z","title":"Sybil-Based Attacks on Google Maps or How to Forge the Image of City Life,","venue":null,"work_id":"2c26a439-a548-44f6-b462-196005d0957b","year":2022},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:54.788574Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:ea2f791a189dd276984c3697c36afcc428f8b4a83a9d84b3ec40e262c5fe30b2","observation_id":"d116d4a2-43a1-403d-8322-1932af67a58b","resolution":{"observed_at":"2026-08-06T22:49:59.445661Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:59.205593Z","title":"Ghost Riders: Sybil Attacks on Crowdsourced Mobile Mapping Services,","venue":null,"work_id":"2f02d30a-94bd-47f8-bd1d-b90953caecfa","year":2018},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:54.920338Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:d3e33870df5564da8a2327985a424a12e4ce708abdb496ddf93eb4c3fe59d654","observation_id":"8177eb49-e20b-4c36-83ed-e3cb45fa55e9","resolution":{"observed_at":"2026-08-06T22:49:59.281991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1410.0151","last_updated":"2014-10-01T09:07:13Z","snapshot_observed_at":"2026-08-16T11:46:44.958685Z","submitted_at":"2014-10-01T09:07:13Z","title":"Exploiting Social Navigation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.0151","snapshot_observed_at":"2026-08-06T22:49:55.082580Z","title":"Exploiting Social Navigation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.082580Z"},"links":{"cited_paper":"/paper/1410.0151","citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:83f486343aebd2a2295df13a19bad3e5340a0dbda5e11cf8a93cb83d786d7859","observation_id":"8daf2dda-2b24-4025-9ff7-9d7f828165cf","resolution":{"observed_at":"2026-08-06T22:49:55.082580Z","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":"2026-08-06T22:49:59.030564Z","title":"SHIELD: A Data Verification Framework for Participatory Sensing Systems,","venue":null,"work_id":"23a168e6-6374-4834-a34f-218916d82802","year":2015},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.237492Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:7d453eb31657a7506d1cbeee641e343729e09d19c9e51582393b076b5aae7fa7","observation_id":"747fc2bc-013c-4d70-9cd1-f093803d8bda","resolution":{"observed_at":"2026-08-06T22:49:59.112410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:58.849635Z","title":"A Platform-Based Incentive Mechanism for Autonomous Vehicle Crowdsensing,","venue":null,"work_id":"d35fb73f-5f65-4979-a84d-600fcc341bba","year":2021},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.350080Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:b400cbd168caa4dd2b3f2ae0a6bd4ad4fdbf5b031734426c732211a62db1adee","observation_id":"315e2f64-6bf6-4cae-b540-fbd99640d052","resolution":{"observed_at":"2026-08-06T22:49:58.927760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:58.682124Z","title":"Microscopic Traffic Simulation using SUMO,","venue":null,"work_id":"44cf5004-5f31-4763-98fd-5f6c5cb97a3e","year":2018},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.515535Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:1a9ab0fd137e02c8fe001aee8a93edcef72d97d1edfb8c01283dadc359391191","observation_id":"fe3c784d-b4da-4596-95ac-b554f311c9f5","resolution":{"observed_at":"2026-08-06T22:49:58.750314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:58.456011Z","title":"Trustworthy People- Centric Sensing: Privacy, Security and User Incentives Road-Map,","venue":null,"work_id":"d899e64d-a19e-490b-8545-e87967d24f6e","year":2014},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.680823Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:84c7df8bcd06a24e31cce65d5b1137d6e9401edf13be0b6530044f90d24e0118","observation_id":"901edc65-46db-4daa-8a78-87801be85e49","resolution":{"observed_at":"2026-08-06T22:49:58.569020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:58.263997Z","title":"Sboing4Real: A Real-Time Crowdsensing- Based Traffic Management System,","venue":null,"work_id":"d72b1a33-6db5-4f3c-8472-29615731321c","year":2022},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.801073Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:8e9783476c203c894aeb423a5e441e87642cbe9466df1bddfffaf9b1d14458cd","observation_id":"38133891-9212-4507-a4dc-7cb0d8295e2c","resolution":{"observed_at":"2026-08-06T22:49:58.353258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:58.078741Z","title":"Adversarial Diffusion Attacks on Graph-Based Traffic Prediction Models,","venue":null,"work_id":"f0dc0f0c-9cb5-418a-86c3-47501f6e2697","year":2024},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:55.952139Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:3804c8773aa5f1616f417f2b57cb234f767bf6b9fcb1fb57efd071e7501ae7b9","observation_id":"4ae861e9-6cb3-43d8-a541-47e0b2ddaa7f","resolution":{"observed_at":"2026-08-06T22:49:58.163417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:57.898678Z","title":"A Note on Two Problems in Connection with Graphs,","venue":null,"work_id":"fe30ec0f-83ab-475c-8f61-063a8270f099","year":1959},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:56.096171Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:f6cdc0a39d28bb99f7c7cdc3c65c078f3eab9a1409923c3bbb68a479e11bade9","observation_id":"bef709e1-7db9-4930-bef6-9ad91af402d8","resolution":{"observed_at":"2026-08-06T22:49:57.985393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:57.724201Z","title":"Detecting mobile crowdsensing sybil attackers via presence verification,","venue":null,"work_id":"0f927a81-502a-433e-95b7-5019d091e19a","year":2024},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:56.232606Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:ed20bdf574a4ce444c3bab50d659a3a9aeed117fd6d6ca9223f8c28cbf3e6326","observation_id":"79372f19-cb08-4522-b04c-a272b4be182d","resolution":{"observed_at":"2026-08-06T22:49:57.807948Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:57.570014Z","title":"Defending against Sybil Devices in Crowdsourced Mapping Services,","venue":null,"work_id":"3c3d94e2-7e76-4758-a945-4bd89792e46a","year":2016},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:56.393979Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:e32b3373f5a44f8acaab2a0eab6ad63da16c3599d73b8e22f5c3bfc12ff86f97","observation_id":"f09a85e9-344e-46b9-b8ea-c780e34dce88","resolution":{"observed_at":"2026-08-06T22:49:57.657475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:57.326332Z","title":"Sybil Attack Identification for Crowdsourced Navigation: A Self-Supervised Deep Learning Approach,","venue":null,"work_id":"7145959e-823d-4103-8266-b271a7063b2f","year":2021},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:56.496616Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:1b8a962617458711d516c7bf71164f42c13257d0d4032f91819b29f90067bc0b","observation_id":"769cb27e-070d-4441-9377-1b3e763ed128","resolution":{"observed_at":"2026-08-06T22:49:57.480945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:57.066921Z","title":"InTAS – The Ingol- stadt Traffic Scenario for SUMO,","venue":null,"work_id":"1b3ec58b-f09d-4808-996d-b87f3f555d9c","year":2020},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:56.580993Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:03d14a1048a43ebca0867028a39c7f7ef0c185fcb700ce956245a33974adafb7","observation_id":"b23d85a4-0cc4-4274-9069-5a7385e33cd7","resolution":{"observed_at":"2026-08-06T22:49:57.162981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-06T22:49:56.798721Z","title":"On Variants of Shortest-path Betweenness Centrality and their Generic Computation,","venue":null,"work_id":"84ed5aa5-75af-4f7d-b53f-3ca0a16ffbd7","year":2008},"citing_paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:49:56.677935Z"},"links":{"citing_paper":"/paper/2506.20585"},"observation_digest":"sha256:5840ce071d2d352fc57192fdaf699a1f2469e459131127fe97cde0a0842a23c9","observation_id":"b9db61a3-a524-4520-be26-0f0b8a964c40","resolution":{"observed_at":"2026-08-06T22:49:56.921251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.20585","last_updated":"2025-06-25T16:26:01Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-15T08:39:27.029845Z","submitted_at":"2025-06-25T16:26:01Z","title":"On the Impact of Sybil-based Attacks on Mobile Crowdsensing for Transportation"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":15},"total_outbound_references":16},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2506.20585."}