{"as_of":"2026-08-17T17:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ec58a5dda7be4091002731dadb894e3362fce8b65cd6d906e101bb2b36a60c1","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:45:30.673692Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2507.02072/citation-record","integrity":"/paper/2507.02072/integrity","json":"/paper/2507.02072/citation-record.json","paper":"/paper/2507.02072"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-019-0334-9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Beaumont, M.A.,","venue":"Scientific Data","work_id":"cb6308eb-06cd-49a0-ba3d-f46fb4a5afa2","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.500933Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:165ef1e1364519da79a1ae34542e810f6f47a5c2542ff22ff14642d59de4bdb6","observation_id":"a5006048-2b9e-4ae0-897a-b94664354769","resolution":{"observed_at":"2026-08-06T20:45:30.855811Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41597-020-0501-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"11 Figure 1: (A) Simulated epidemic based on SIR model (black curve) and observed data (red dots)","venue":"Scientific Data","work_id":"78d89522-c0ba-4a49-85c7-a03d3fbdc523","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.669044Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:584a90154eab8e26e5c5d8bce70d4b3f7a20df4a692bed2ffc508bd0c33efa54","observation_id":"12713bf9-8886-4423-874b-54b85ba3b77b","resolution":{"observed_at":"2026-08-06T20:45:30.711482Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-023-38819-x","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Katono, K., Alicai, T., Baguma, Y., Edema, R., Bua, A., Omongo, C.A.,","venue":"Scientific Reports","work_id":"2262eeb6-2812-4760-98f4-0da4e4bd6632","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.624250Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:73c5d6a08aa28d4742edb2e55c5fd8ea06b9b5a06fca8749ef25992cf01e318d","observation_id":"5bfac3ee-eafd-4f9d-8b41-673bef482bfc","resolution":{"observed_at":"2026-08-06T20:45:30.791371Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1214/21-aoas1486","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Szyniszewska, A.M.,","venue":"The Annals of Applied Statistics","work_id":"e2366916-425c-410c-b4fb-3985701abfcd","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.664266Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:6e8f868d586b2a8e633c85777bd2cac360e1a750e0e88525b264c3901d34adc1","observation_id":"6ce8f9c6-0372-49ed-b451-f538fd1903dd","resolution":{"observed_at":"2026-08-06T20:45:30.726138Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2019.10036","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:31.080272Z","title":"Epidemics 29, 100368","venue":null,"work_id":"7916c1c8-9ae0-4a5c-a70b-5764fc8b6f01","year":2019},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.655802Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:71035003cd4aa8693f5acc5db9f13e5ddfe6427c9f4cbc72ac4ca99d0b10707f","observation_id":"6fcfa0eb-2cc3-43d5-a82e-6730926e5377","resolution":{"observed_at":"2026-08-06T20:45:31.087897Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2025.15216","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:30.995198Z","title":"Retkute, R., Touloupou, P., Bas´ a˜ nez, M.G., Hollingsworth, T.D., Spencer, S.E.F.,","venue":null,"work_id":"bc445853-58dc-4748-8535-a1cb33e08b3b","year":2025},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.659828Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:d142f468d2401ada74f542919bcc31f869178fdb5414e18f8e97362fa4ddd317","observation_id":"5913a97d-592e-4fed-a22d-2977a6ef2fe4","resolution":{"observed_at":"2026-08-06T20:45:31.003634Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T20:45:31.221316Z","title":"(B) The model host landscape, representing the fraction of 1 km2 grid cell occupied by cassava, derived from Cas- savaMap (Szyniszewska, 2020)","venue":null,"work_id":"7e30dd6e-86cf-47ac-aea2-21bfe0120c43","year":2020},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.673692Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:0783805900a8c3b2f44a40893688a6fffe00157c239cd87eb2ed63e8aa3fa5ea","observation_id":"337528ba-dacf-400d-b289-4e3a001db1dc","resolution":{"observed_at":"2026-08-06T20:45:31.228879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:30.613955Z","title":"Journal of Computational Physics 22, 403–434","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":1976,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.613955Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:d067a74c99f7a2729fbe3648ddf5a59cc1d46de330fc156da42a051f01848b1d","observation_id":"f1494842-266b-41cb-a299-746a89ab5278","resolution":{"observed_at":"2026-08-06T20:45:30.613955Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:30.618842Z","title":"The Jour- nal of Physical Chemistry 81, 2340–2361","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":1977,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.618842Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:684baaa216a95f85fc9bebbd4d094ad1086acff167dafa815103d970790cbaee","observation_id":"39c16fc7-0c86-4641-a214-73c318e5630e","resolution":{"observed_at":"2026-08-06T20:45:30.618842Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:30.637359Z","title":"Proceedings of the National Academy of Sciences 100, 15324–15328","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2003,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.637359Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:15f04c488515e6907a867b44d7811d472a12b6495662157ae38c24c8c0b28598","observation_id":"891869e6-86dd-429a-99c0-408e79d3ab9c","resolution":{"observed_at":"2026-08-06T20:45:30.637359Z","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":"0434.2005","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:31.171281Z","title":"Journal of Phytopathology 153, 307–312","venue":null,"work_id":"c3e0becd-8cc7-43c6-979c-99da98cae5e5","year":2005},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2005,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.641716Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:929b099936148725f0160affeea4ffcbf62386e305ea204fec56e2af0d3e0409","observation_id":"60c2be35-f5bd-4c47-8b7e-2f01386cf0c3","resolution":{"observed_at":"2026-08-06T20:45:31.179898Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1094/pd-91-0024","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Plant Disease 91, 24–29","venue":"Plant Disease","work_id":"788bb9f7-cb91-49f7-a20f-7e2633e9f5a5","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2007,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.391675Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:f2c7ef9dd97f97e9077799bf2fda9d1a64a4b55c55e321743b7ee956a5f30423","observation_id":"cd402b7b-3191-4810-b830-cce333916bb5","resolution":{"observed_at":"2026-08-06T20:45:30.869498Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1146/annurev-ecolsys-102209-144621","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Annual Review of Ecology, Evolution, and Systematics 41, 379–406","venue":"Annual Review of Ecology Evolution and Systematics","work_id":"22a02e11-8493-4dcc-bb59-33610f7e5a4a","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2010,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.574304Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:38cce8501a7a9d652cede171880aae9a8d2c79bad9da03808ca319029ce39d52","observation_id":"3a92a8ad-8364-4a85-bdce-e1466e3ab68e","resolution":{"observed_at":"2026-08-06T20:45:30.842246Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1111/ppa.12453","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Plant Pathology 65, 299–309","venue":"Plant Pathology","work_id":"e42563a6-e152-46be-b657-509197289679","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.650998Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:98d2b747f3a47b563f2bcec3c87be068455ef0e2ff1857dd75d32401d08046ec","observation_id":"fefeff6c-0c1c-4a49-ab01-8e606649d4ae","resolution":{"observed_at":"2026-08-06T20:45:30.740890Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:45:30.633211Z","title":"Systematic Biology , syw077URL: http://dx.doi.org/10.1093/sysbio/syw077, doi:10.1093/sysbio/syw077","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.633211Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:081805110f9894decacfdc442c6be3f4016f8f0798bd452af875dd7672fb2784","observation_id":"e2117c36-3f75-4dbb-81cb-65c40b032651","resolution":{"observed_at":"2026-08-06T20:45:30.633211Z","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":"10.1371/journal.pcbi.1005654","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"PLOS Computational Biology 13, e1005654","venue":"PLoS Computational Biology","work_id":"e94b5d73-a569-4f39-a4ff-2a8632e54afe","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.646399Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:5fada2529a04e912d62a6eedad3b21d4204abe71abfce55208562ed5960a659b","observation_id":"29ca9de4-cf88-4cde-84e7-ed886ec0f344","resolution":{"observed_at":"2026-08-06T20:45:30.755469Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T20:45:31.242414Z","title":null,"venue":null,"work_id":"264e82ad-5e0b-417f-b69e-3f031715b67b","year":2004},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.422924Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:9d910196fcf97b2383295d753a894eeee26648d8d31c524112e01c3d63dd6275","observation_id":"a49ce660-4c81-4f57-837e-d6da4f97f2fa","resolution":{"observed_at":"2026-08-06T20:45:31.248599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41592-020-0822-z","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Nature Methods 17, 455–456","venue":"Nature Methods","work_id":"ead365b0-2f67-4eb1-8ab3-3008104189ab","year":null},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.608681Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:88189119767d4ca84e07ba37f5281ab931ecc4191df91786f2b0edb8d71e1dff","observation_id":"1bcb02ee-6df9-47a2-b8e9-3deb9c4263af","resolution":{"observed_at":"2026-08-06T20:45:30.827588Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.heliyon.2023.e19939","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Heliyon 9, e19939","venue":"Heliyon","work_id":"afc5cbe3-1f7e-4bc0-9dab-3b0688f68ed5","year":2023},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.319567Z"},"links":{"citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:16f88024ebf1c059e9c78469db0c8fdb2f7e7d2dcff97279f174002171522892","observation_id":"ae3b67bd-4818-489e-a30d-6a58cdc93be6","resolution":{"observed_at":"2026-08-06T20:45:30.884022Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19698","last_updated":"2025-04-28T11:52:27Z","snapshot_observed_at":"2026-08-16T05:43:23.502709Z","submitted_at":"2025-04-28T11:52:27Z","title":"Advances in Approximate Bayesian Inference for Models in Epidemiology","version":1},"cited_work":{"arxiv_id":"2504.19698","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.19698","snapshot_observed_at":"2026-08-06T20:45:31.201785Z","title":"Advances in Approximate Bayesian Inference for Models in Epidemiology","venue":"stat.ME","work_id":"80ecfbd9-9730-4d8a-bc11-8feb12faa9ef","year":2025},"citing_paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T20:45:30.628364Z"},"links":{"cited_paper":"/paper/2504.19698","citing_paper":"/paper/2507.02072"},"observation_digest":"sha256:01d3d5e6e915e9e62820825358e877c51737a4cecf1a7b287cde3031dc0bcb6f","observation_id":"282177c0-f86a-4454-93f3-7c3102f1ee19","resolution":{"observed_at":"2026-08-06T20:45:31.207313Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.02072","last_updated":"2025-07-02T18:16:19Z","latest_version":1,"primary_category":"stat.ME","snapshot_observed_at":"2026-08-17T08:08:41.083711Z","submitted_at":"2025-07-02T18:16:19Z","title":"A novel two-stage parameter estimation framework integrating Approximate Bayesian Computation and Machine Learning: The ABC-RF-rejection algorithm"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":5,"verified_exact":11,"verified_fuzzy":1},"total_outbound_references":20},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.02072."}