{"as_of":"2026-08-21T15:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c147e78060d340ab199dde8bab3f4f270b9e12d1d63b221802648a011090741f","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T16:19:17.854722Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2509.06618/citation-record","integrity":"/paper/2509.06618/integrity","json":"/paper/2509.06618/citation-record.json","paper":"/paper/2509.06618"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10570-020-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:19:17.906329Z","title":"fibril collective","venue":null,"work_id":"52d4d2e0-a740-4ed5-a34f-e2de6229a07a","year":2022},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.843645Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:aca5c742249ca88b31ef5e43a7cb5126ec135baf55f787608de8e5c5990265e0","observation_id":"ad4e8be9-5178-4912-8b86-0fbdd010e956","resolution":{"observed_at":"2026-08-15T16:19:17.910001Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T16:19:17.928132Z","title":null,"venue":null,"work_id":"421a2f0e-23f8-4698-828d-26716e56bf1d","year":2019},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.834242Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:39ef44a98df547579a832cebc963cad306dc80f2b9aeb83ca31a67dc3da85500","observation_id":"bc24cb6e-59ad-4311-8568-fe180833be29","resolution":{"observed_at":"2026-08-15T16:19:17.931581Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T16:19:17.917473Z","title":"ground truth images","venue":null,"work_id":"ee473026-e40f-4dcb-bba9-2e13ceb6d79c","year":2021},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.838787Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:a93eedb315ddd3aacc47bb42b0b78f5218e2e75e565b2e19dbaa85bb87bafadc","observation_id":"76063313-8d9f-4c44-bc47-cf3353b512be","resolution":{"observed_at":"2026-08-15T16:19:17.920964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T16:19:17.952587Z","title":"Perspectives on Cellulose Nanofibril Size Measurement Using Scann ing Electron Microscopy","venue":null,"work_id":"e92a90ef-d688-49e6-be4f-81668061dfbd","year":2012},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.824068Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:860f7c206490637e6a2dd03158913fe7d56664db4f5c3495964a013343ffa421","observation_id":"c8947798-0fff-4658-aff3-39cf9cd917e1","resolution":{"observed_at":"2026-08-15T16:19:17.956723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-08-15T16:19:17.939516Z","title":"The ‘fines’ percentage, defined by the ISO specification (ISO 2014), is the percentage of fibrils with a length less than 200 µm","venue":null,"work_id":"a5f9aa9b-c5ad-4158-b36a-9b9938f73b5f","year":2014},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.829918Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:3a66ffdc2fb51cc130fb2948925c39a18778b78dc33b7dd0fb5463b89ad30bcd","observation_id":"36560d35-0815-4bce-bbf8-0871badc78ab","resolution":{"observed_at":"2026-08-15T16:19:17.944854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10570-025-06458-2","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-19T11:03:45.297681Z","title":"Open Physics 10(1):181-188","venue":"Cellulose","work_id":"f04903f2-2dba-496d-8dbe-b21a9cd31ef2","year":2012},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":2810,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.850284Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:92b0e12824ccf034458f14bc3ea1558697137e1ddf767e180f1d9f0d44f79bdc","observation_id":"578a6b70-08c6-404b-8ebe-fe05ebd91753","resolution":{"observed_at":"2026-08-15T16:19:17.899170Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.15376/biores.15.2.zambrano","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:19:17.881377Z","title":null,"venue":null,"work_id":"92fac7da-ec20-48c6-abfe-508054e0da92","year":2021},"citing_paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning","version":1},"reference_index":4590,"source":"pdf_text","source_observed_at":"2026-08-15T16:19:17.854722Z"},"links":{"citing_paper":"/paper/2509.06618"},"observation_digest":"sha256:01ecdaa1c0b404727813ab0d0206ec2314497f1632879a223475760c42d859cf","observation_id":"b7565a25-bc29-488c-8e02-c6a52ee4d36d","resolution":{"observed_at":"2026-08-15T16:19:17.886835Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.06618","last_updated":"2025-09-08T12:36:41Z","latest_version":1,"primary_category":"physics.bio-ph","snapshot_observed_at":"2026-08-15T19:35:20.196979Z","submitted_at":"2025-09-08T12:36:41Z","title":"Semi-automated image analysis of Cellulose Nanofibrils using Machine learning segmentation and Morphological thinning"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":2,"verified_fuzzy":3},"total_outbound_references":7},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2509.06618."}