{"as_of":"2026-08-18T14:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aab95e7430488c1699159124d96003ea1dfdca076e4181253bf062f980cbdae2","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:49:58.344010Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2502.00783/citation-record","integrity":"/paper/2502.00783/integrity","json":"/paper/2502.00783/citation-record.json","paper":"/paper/2502.00783"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:49:58.974979Z","title":null,"venue":null,"work_id":"461466b6-335b-4649-a3ed-bbb9dc3f21af","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.221373Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:7cd9a2980d49c412d3f12ac7877802a16390ecd15e4e51327c3c1e686a921479","observation_id":"1c4ba442-18a9-4191-8478-bfc3fe38e762","resolution":{"observed_at":"2026-08-09T17:49:58.978273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.965093Z","title":"&Chirici, G.(2019).Species distributionmodelling tosupportforest management.A literaturereview.EcologicalModelling,411,108817","venue":null,"work_id":"da3f8761-dfcd-411d-8e7f-659a2ed9d22b","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.225028Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:7d26d3ae70f7afaa619843d8ccdc9837181c9f010bffd7ce45125b49f7f5da11","observation_id":"9cce8795-8c29-4ce4-b510-6c811ef2fde8","resolution":{"observed_at":"2026-08-09T17:49:58.968788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.955776Z","title":"M., Paolucci, L., Ummenhofer, C","venue":null,"work_id":"3f57379f-2bbc-4eab-a288-ce338082feaf","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.228363Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:be34d887e83fc3f1a7798a70f050882b51f276bf7ed0b4d4d5fbe882b95c7f49","observation_id":"6fa76d69-64d9-467d-a0ae-49d11c564d8a","resolution":{"observed_at":"2026-08-09T17:49:58.959040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.946739Z","title":null,"venue":null,"work_id":"be67a943-1f45-4245-a473-39558db8f5ac","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.231769Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:303dcc9c8c5ba7916c1b43da938c97256757506a2dde40c7653420a59f564205","observation_id":"fb07f9cc-e623-4605-8e61-e604d37aeeed","resolution":{"observed_at":"2026-08-09T17:49:58.950010Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.937498Z","title":"J., Field, C","venue":null,"work_id":"3b4ab93a-f31c-496b-94cf-d332be6aee79","year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.235091Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:030410b5db00a9a9d7813a7ceb9e3e678917325758b3e58e84f2493f8a0d41d8","observation_id":"fdc3a983-74e1-46c0-809a-bbeb0f30277c","resolution":{"observed_at":"2026-08-09T17:49:58.940636Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.928369Z","title":null,"venue":null,"work_id":"43c2c153-501d-48ac-a2b0-49a760bc62c6","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.238533Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:de3be347791c37d81e483220fbdaae106b85c344d71021ba61f37f6c8e6a3498","observation_id":"cf4e261d-8baf-42ed-96a1-185799192824","resolution":{"observed_at":"2026-08-09T17:49:58.931710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.918300Z","title":null,"venue":null,"work_id":"82319a2d-3103-4b35-8691-2957ece6bfb6","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.242128Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:a19c344808f6ca6f73ff27331b444048a1ec99ef3593a8f0327fd8e3c25b0db8","observation_id":"a71abe60-1bc5-4428-bd9f-ca7db28039c7","resolution":{"observed_at":"2026-08-09T17:49:58.922119Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.909150Z","title":null,"venue":null,"work_id":"053dac08-5852-4b4e-b1b1-3bbc47f06010","year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.245596Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:84bce1b3130c7b1729f3aabba2a9afdbf6370aa6d41f5b67f3e07e82e0ad055b","observation_id":"3796f34f-89ad-4e53-b694-74955c931e76","resolution":{"observed_at":"2026-08-09T17:49:58.912350Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.899851Z","title":null,"venue":null,"work_id":"105a905f-b47e-4c91-8267-3d705cda887f","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.248842Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:3fe4b0650c150cf86d50b31f396e42f2758834ebce54bb4c7a2b785857642c80","observation_id":"a6668963-e265-46d3-9bf8-d7116f309f47","resolution":{"observed_at":"2026-08-09T17:49:58.903151Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.890439Z","title":null,"venue":null,"work_id":"26c0b23c-d446-4d29-9113-98edfefd75aa","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.251751Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:86dabb4159f13a9378dc0b0a7ebdaa9b51dac35ab92bc874107a49ac40375b4a","observation_id":"5522901f-0ab4-4415-a331-d0ec9140a42d","resolution":{"observed_at":"2026-08-09T17:49:58.893727Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.881300Z","title":null,"venue":null,"work_id":"2b9bf76a-04d9-4951-becb-656b7db6bda0","year":2023},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.254895Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:48069fafc5194811482ff46bfbbbc3147e3904526aa6e2346f2300f1e3cdcc9b","observation_id":"e98370de-fec7-4017-9396-209dc2a1f03c","resolution":{"observed_at":"2026-08-09T17:49:58.884509Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.872172Z","title":"A., Reed, Z","venue":null,"work_id":"9353ed8a-748c-4765-b7a1-b9209c6dd7f3","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.258109Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:4e8a210355ec05d6a680cf6377a4a019007d1883bafa416e91315528e9787ee5","observation_id":"880bb287-aa7f-4406-a214-a3567abe8af8","resolution":{"observed_at":"2026-08-09T17:49:58.875466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.862890Z","title":"S., Mendelova, M.,","venue":null,"work_id":"1d3b57e5-df37-4c49-80a6-3028826dce39","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.261046Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:50cbb3db35866564157a9db46229b9fc5bf4e1c22c9b7c6b0de850618a1c1a0d","observation_id":"f9da1943-27e6-4448-b1e0-53c3657abf31","resolution":{"observed_at":"2026-08-09T17:49:58.865989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.853910Z","title":"P., Cheng, Z., & Guo, L","venue":null,"work_id":"3d8c60c3-43b3-4176-8771-072cdcbe8d36","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.264155Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:c0adc2532454016276f25014169564b06fc1babeb05c58fa446ddbf34b4b4938","observation_id":"0e0f2714-d7fc-4ce3-902f-ca91a12a7138","resolution":{"observed_at":"2026-08-09T17:49:58.857061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.836039Z","title":null,"venue":null,"work_id":"b78ff099-418c-4dc8-a2f2-7ef221cd24f4","year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.270220Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:76ee5d28c886122a372ddc3435c4d25efb756061a8c5c43daae181705b080d74","observation_id":"09012db9-9c4b-4f4f-a4d9-2ab798eb43d7","resolution":{"observed_at":"2026-08-09T17:49:58.839148Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.827205Z","title":null,"venue":null,"work_id":"6fe4aab0-96da-4df5-a02a-5acc800e5cd9","year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.273120Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:944a77f7457bd0c071257696441d158668721467ca47829ef3a8159a8939972e","observation_id":"784a53ba-8574-4708-8115-e439bdd05403","resolution":{"observed_at":"2026-08-09T17:49:58.830338Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.276225Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.276225Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:a04b8a433180db5d53be14dc55beb99803e544b7199a4f17f8510e499a1c8957","observation_id":"0f75d337-3e8b-45e9-9fb3-71482fd64c39","resolution":{"observed_at":"2026-08-09T17:49:58.276225Z","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":"2026-08-09T17:49:58.279253Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.279253Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:3201c76af7f664ed8acfeecf2134ad54cfd06b10822f7f58001896247074adbe","observation_id":"12b7bd5e-f4c8-4b0c-8c6c-af00ea050d53","resolution":{"observed_at":"2026-08-09T17:49:58.279253Z","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":"2026-08-09T17:49:58.282203Z","title":"A., & Duchesne, R","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.282203Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:ad066c0ef34710b829aa55fd740a350eebc7f7b4210b2dad838ba88c2e07e1e2","observation_id":"8919483c-e6bc-47de-b1fc-8b8f448c3fbc","resolution":{"observed_at":"2026-08-09T17:49:58.282203Z","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":"2026-08-09T17:49:58.844955Z","title":null,"venue":null,"work_id":"153e4641-3941-420b-b2ac-be069bfc9d20","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.285122Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:62237452ac9e417dc33407140bf333253da10336bb3f0b8cb1e8d4aee5cf4a72","observation_id":"9a8d509f-b216-4c7a-ae49-a0e42331eaae","resolution":{"observed_at":"2026-08-09T17:49:58.848168Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.818021Z","title":"R., Maghsodi, Z., Mousavi, S","venue":null,"work_id":"2424ef59-1cde-4bcb-9d17-2bcd718cd02f","year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.288100Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:08e04bf9945fa937b88914be7424f2f1afa8bab0c55ba5c0c6b9eeeeb82d2860","observation_id":"6711e9f0-5d10-4492-9dd4-dee7ce811848","resolution":{"observed_at":"2026-08-09T17:49:58.821148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.808879Z","title":null,"venue":null,"work_id":"746e6168-a67e-4553-b99b-31e68dc045fa","year":2023},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.291052Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:9ade70b1cdf444f802b92b5d3e1469617af101d0670fd4ce43fb7c5e1e59ea13","observation_id":"6cea5bae-a939-4982-a235-f6cfaf6fbb4a","resolution":{"observed_at":"2026-08-09T17:49:58.812214Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.799475Z","title":"& Bengio, Y","venue":null,"work_id":"fab0cbf7-7437-4e28-99a1-70e445a4a6fe","year":2014},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.294037Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:2863c313827dbcedf0d71d014d0eb671867ed8e37f1c9cea51b05ffe2681a64b","observation_id":"a5e880d4-a2f5-4108-a11e-cebbe8d906e1","resolution":{"observed_at":"2026-08-09T17:49:58.802904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6114","last_updated":"2022-12-10T21:04:00Z","snapshot_observed_at":"2026-08-14T23:50:45.029465Z","submitted_at":"2013-12-20T20:58:10Z","title":"Auto-Encoding Variational Bayes","version":11},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6114","snapshot_observed_at":"2026-08-09T17:49:58.296998Z","title":"P., & Welling, M","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.296998Z"},"links":{"cited_paper":"/paper/1312.6114","citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:166beebbf1abea34d77ae45f8df5c267ab1d739761c7d0331731f4a902b67b4f","observation_id":"683acb63-6ad6-4864-a313-e3624fa33bb7","resolution":{"observed_at":"2026-08-09T17:49:58.296998Z","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":"2026-08-09T17:49:58.789961Z","title":null,"venue":null,"work_id":"42176c29-b369-4668-888e-bb3225883d2f","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.300312Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:fb4054a8f2110007d67e4b99031e98ad909665270f37ee5634b0103990a0f6e7","observation_id":"8a80d699-4bdc-4fd9-b4e4-df2f67860fb4","resolution":{"observed_at":"2026-08-09T17:49:58.793221Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.780587Z","title":null,"venue":null,"work_id":"7e9c501f-08cb-4100-a49f-8022da2c6efc","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.303223Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:981ec919ea59c9925ec3cf8c558f38945243ad7df382f6ca07034eb4a1111bf6","observation_id":"62943219-bff7-4f11-9648-f6c75fd2a9d3","resolution":{"observed_at":"2026-08-09T17:49:58.783864Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02502","last_updated":"2022-10-05T20:19:21Z","snapshot_observed_at":"2026-08-11T15:38:14.931716Z","submitted_at":"2020-10-06T06:15:51Z","title":"Denoising Diffusion Implicit Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02502","snapshot_observed_at":"2026-08-09T17:49:58.306410Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.306410Z"},"links":{"cited_paper":"/paper/2010.02502","citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:734db63c0b0d538f5ebf65621ef8804d6f2435e072636c3a555b4bfe8196f778","observation_id":"cbcc5a49-78f3-450d-a873-472d2e941e94","resolution":{"observed_at":"2026-08-09T17:49:58.306410Z","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":"2026-08-09T17:49:58.771267Z","title":null,"venue":null,"work_id":"7933bf29-8bc2-47b6-a872-9c13f7a3594b","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.309932Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:b38f4265bf1df8354e80cdf9e2142aaf2f833379041c4b03c4be3a7d3a2e3a0d","observation_id":"a339d714-4f87-4899-9fdc-9a4d03121518","resolution":{"observed_at":"2026-08-09T17:49:58.774538Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.762005Z","title":null,"venue":null,"work_id":"dfe3fc17-3a2d-40c2-b5ca-9f75ca7bce68","year":2019},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.312945Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:dc81a03554a4afe579ee3f8c1a97a4ab5d448f69a374d15c1a8ee3c853f79b54","observation_id":"5e1a4cc0-5ab7-461d-81ea-4622f1f18f65","resolution":{"observed_at":"2026-08-09T17:49:58.765166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.315961Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.315961Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:23262b8b27972163d92030702b8010d2f22468ac3a2cba9cc30c35a15a55d31a","observation_id":"f99f08f1-8fd6-4ea7-ba6a-a14bd81d0216","resolution":{"observed_at":"2026-08-09T17:49:58.315961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.08322","last_updated":"2022-04-13T10:34:32Z","snapshot_observed_at":"2026-08-18T12:28:02.147038Z","submitted_at":"2022-04-13T10:34:32Z","title":"A high-resolution canopy height model of the Earth","version":1},"cited_work":{"arxiv_id":"2204.08322","doi":null,"metadata_source":"pith","pith_arxiv_id":"2204.08322","snapshot_observed_at":"2026-08-09T17:49:58.464630Z","title":"A high-resolution canopy height model of the Earth","venue":"cs.CV","work_id":"d60c32db-a27f-43a7-8e72-df721117cc0c","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.318891Z"},"links":{"cited_paper":"/paper/2204.08322","citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:b57152105218f8cfc287a129c1e5e893a693d5e907d307bdee70a64dd957807d","observation_id":"17fac93f-66a5-499a-8848-24d5ba9ac167","resolution":{"observed_at":"2026-08-09T17:49:58.469316Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3390/rs15153875","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Remote Sensing","work_id":"a941819b-e8cb-4278-8e04-472df13e4179","year":2023},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.322224Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:0ade45cba4e0cbfe3acaf643cf05d27f2f283b9f5cea9d19a8558e445ab2f0b2","observation_id":"356ebba1-0297-4e3e-a329-6bad2f948ed2","resolution":{"observed_at":"2026-08-09T17:49:58.374376Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.751970Z","title":"Y., & Gurari, D","venue":null,"work_id":"1c428541-de4f-4e66-867b-c258f40cffc1","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.325371Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:716c027cb2b901857336a42e86ea7609cbe8b7c90d7be52c3e8b86280def2e9b","observation_id":"1a7a6396-df1f-4a4b-af46-96fbdb4c4f36","resolution":{"observed_at":"2026-08-09T17:49:58.755568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.741732Z","title":"& Zhang, B","venue":null,"work_id":"ea21612e-ee5c-46ee-b36d-1cb3b049c473","year":2023},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.328459Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:209a69bbf92826158c68a49587a0e777b766e06512eb31e5166f44bbc0afe0c8","observation_id":"fc7efe4e-7136-4315-973c-8c98ad2cf8b9","resolution":{"observed_at":"2026-08-09T17:49:58.745245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.732382Z","title":"S., Brousse, O., Esau, I., & Meier, F","venue":null,"work_id":"d96daddc-20f1-4595-b523-9fb51e141cdf","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.331717Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:c6dcd34437544d57fb15d1f28cd802a8c2e07cbb72f599849e134719191e3e1a","observation_id":"575f9bde-bc26-4f30-8ec5-c69f2518806e","resolution":{"observed_at":"2026-08-09T17:49:58.735643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.722758Z","title":null,"venue":null,"work_id":"637a3f27-29d4-4cc8-a2ab-f6a9f95b07be","year":2020},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.334835Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:4457e86aabcc3edbfcac20956bde8ee5a3891078d92a08af13774067d3e96120","observation_id":"f3d492ef-f4d3-4446-963e-bcea173cbb89","resolution":{"observed_at":"2026-08-09T17:49:58.726246Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.713132Z","title":null,"venue":null,"work_id":"a2d24580-1cde-4cfe-b216-d72705483dfd","year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.337867Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:96669b8cacd90a64a2dada625168feb298f1fe4b3b5d0e2a54f1e00cf9d93a6a","observation_id":"31ac3172-174e-4214-ba38-bec3da17e2c6","resolution":{"observed_at":"2026-08-09T17:49:58.716424Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.703393Z","title":null,"venue":null,"work_id":"b74e7500-3c70-4b9b-8741-43cf3be424b6","year":2021},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.340993Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:5c7ac8c95665a281f674a055744a79721e6fadad6668756c97dbccc985cf9df2","observation_id":"412edcfb-a66d-44ec-981c-b665aec92c4b","resolution":{"observed_at":"2026-08-09T17:49:58.706711Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-09T17:49:58.344010Z","title":"& Yang, M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T17:49:58.344010Z"},"links":{"citing_paper":"/paper/2502.00783"},"observation_digest":"sha256:496856d3cc6527054a540928dfc537655e92777a6a605f386cf3c0b5d8bfb7d0","observation_id":"f3c4f5a1-72fa-4e1f-b0ef-31d8fa679a22","resolution":{"observed_at":"2026-08-09T17:49:58.344010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.00783","last_updated":"2025-02-02T12:41:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T12:34:49.039246Z","submitted_at":"2025-02-02T12:41:47Z","title":"A method for estimating forest carbon storage distribution density via artificial intelligence generated content model"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":2,"verified_fuzzy":11},"total_outbound_references":39},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2502.00783."}