{"as_of":"2026-08-13T01:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4ef71ddaf239d3b2f12000d884ef790961089d983b7710bb7905147db4dd4073","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:33:28.124038Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2411.14159/citation-record","integrity":"/paper/2411.14159/integrity","json":"/paper/2411.14159/citation-record.json","paper":"/paper/2411.14159"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:33:31.094920Z","title":"Stauffer and A","venue":null,"work_id":"e27a235f-5fde-4eca-8be5-93c68a85f282","year":1994},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:26.906727Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:635410eecb905373787af0341d786ed0ba7e44a6f148d3c45a0fc3eb398fdfb5","observation_id":"068869eb-cec6-4b62-882f-d2be7c9e2701","resolution":{"observed_at":"2026-08-12T15:33:31.117964Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.993493Z","title":null,"venue":null,"work_id":"376301e2-16af-410e-a997-f69d9b30fc34","year":1981},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:26.938428Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:4f1bbe0641369537dbf6986306204309394c9d570cdf70a66fcfd56b6c03a016","observation_id":"cc8d0b15-f419-450e-87ed-58210c875f63","resolution":{"observed_at":"2026-08-12T15:33:31.054441Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.825588Z","title":"Griffiths, F","venue":null,"work_id":"72e30273-0500-4d37-a896-b8250e640cfe","year":2017},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:26.963820Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:a6b4df3c946351e0f19065a13b895a8b2438e183849fbc03f5bc31ba9e9fe778","observation_id":"90d1be6e-3879-4d07-95a9-466682dc4b6a","resolution":{"observed_at":"2026-08-12T15:33:30.897207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:26.978509Z","title":"Rubinstein and R","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:26.978509Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:6ce18ec03193bbb66f2ee9f72339a18c9129a6c29e88809c04941ba3caa25cd9","observation_id":"3340776c-3740-435a-89d2-c4be9810a056","resolution":{"observed_at":"2026-08-12T15:33:26.978509Z","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":"2026-08-12T15:33:26.990266Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:26.990266Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:d88a94ad7806b40e7447d8db1cca9c384629735b90f752f4816bda87b8fb481c","observation_id":"4339511f-2b9b-4b71-ab4a-c74ba35c8336","resolution":{"observed_at":"2026-08-12T15:33:26.990266Z","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":"2026-08-12T15:33:30.599222Z","title":null,"venue":null,"work_id":"e268f924-9293-4e4e-9b26-6af4a17270d3","year":1978},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.004151Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:c7e53b5586ba985b6b1d8642529e18c7eab148845cb842ff260c0cd409267174","observation_id":"66177cad-1dbe-452c-8fad-7aefb4f93b89","resolution":{"observed_at":"2026-08-12T15:33:30.644899Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.511797Z","title":"Sahimi, Heterogeneous Materials I: Linear Transport and Optical Properties(Springer-Verlag, 2003)","venue":null,"work_id":"f795a5f6-f09e-41c9-ba85-f34cb84d6d11","year":2003},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.018401Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:18c6c54e2c7d8ed22f81839ff54c7c3c68458681ea3c73b0a0c9a9b7f3462e71","observation_id":"84f7c944-5d5c-452f-b540-b1e1ef5ec545","resolution":{"observed_at":"2026-08-12T15:33:30.562023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.483181Z","title":"Moukarzel and P","venue":null,"work_id":"9b4eeccd-3a50-4416-b9f1-29b6eb0f7c0c","year":1995},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.031742Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:874e31208249390f2b5bd10f5ae9af14c9ca6347331cc2c4955ce2ce5e02326d","observation_id":"be027e5e-decc-444f-b1bb-de51cd592453","resolution":{"observed_at":"2026-08-12T15:33:30.486993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:27.053539Z","title":"Hoshen and R","venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.053539Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:aaf41dde56c716637a2a442af67e69552f99a2d993a7de79782f08a978c747b8","observation_id":"bd0ec1ee-976c-4e09-9be8-d8a9f3852b96","resolution":{"observed_at":"2026-08-12T15:33:27.053539Z","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":"2026-08-12T15:33:30.467445Z","title":"Livraghi, K","venue":null,"work_id":"baf40a8a-99e3-4edb-8795-3346822460c3","year":2021},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.059605Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:d49eb82647dc687a7be8011047a7bbcd8a288206bd5363bea25836de29daeb6a","observation_id":"918f4a02-275f-437a-a377-84430fa52bb6","resolution":{"observed_at":"2026-08-12T15:33:30.471002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:27.075290Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.075290Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:a15aef88f49e873cb46a652510728b0053633dd3b4729538642331368c04315b","observation_id":"452bc6ac-3080-4621-b1ba-cbaaad4ef285","resolution":{"observed_at":"2026-08-12T15:33:27.075290Z","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":"2026-08-12T15:33:30.451535Z","title":null,"venue":null,"work_id":"5cb7178d-28ad-4f6f-8f21-14b5ac53b328","year":2003},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.086905Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:510505d3d1251c3eb9acb96dd8f81d5630334f7efb41e44a3085d8ba9641b54a","observation_id":"4c3f623d-feaa-47bf-85ec-e66fdabcdce2","resolution":{"observed_at":"2026-08-12T15:33:30.454479Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.433501Z","title":"Wilhelm and E","venue":null,"work_id":"8f3b8670-8eef-4efd-9daf-8bf29b2c90ab","year":2003},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.112176Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:72e6bcdeb679130a0dd8a6a75c2d8228beffd52ccd8a8f3e2d21f7af887a871a","observation_id":"f5c12029-50c5-49e0-ae08-c4cdd62c1883","resolution":{"observed_at":"2026-08-12T15:33:30.442022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.335593Z","title":null,"venue":null,"work_id":"799acfbd-864d-478a-b151-1834f57c14b9","year":2017},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.134595Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:c818db4d0c2be50404853fdcb2f6c2e5f8286f7e99d060191a31543878f83e07","observation_id":"8a135445-f798-4b4c-9e65-a05d7103d993","resolution":{"observed_at":"2026-08-12T15:33:30.397966Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.228576Z","title":"Carleo, I","venue":null,"work_id":"a97c77bf-b894-4e9d-9b02-be8f82739ce5","year":2019},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.183467Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:4145a2f2f9d720be36ec17597243490ed20ea9fecee895a9ed8e608a22b869f5","observation_id":"0d40afad-319b-4297-85b9-5ce8d4fc3f5c","resolution":{"observed_at":"2026-08-12T15:33:30.274970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:30.077490Z","title":"van Mastrigt, M","venue":null,"work_id":"24b6dddf-b3a5-4e1a-a622-eb921085758a","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.225186Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:eb0ca9613451792fa7c653e2c08a84a86118530824707ab9c3c3ec0ce71125e1","observation_id":"0b92716d-07d3-4813-a7f3-d6afc9e9a12e","resolution":{"observed_at":"2026-08-12T15:33:30.158259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.998789Z","title":"Lu and A","venue":null,"work_id":"5529eb53-df0c-4e67-903a-43b856a1a023","year":2024},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.274598Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:41fdd2bf7a706261f1ec9e3219fc64a8f6c91b366fdfec0b6ad1027f62951706","observation_id":"e7732907-7662-476b-b7d4-ed805810a964","resolution":{"observed_at":"2026-08-12T15:33:30.014830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.969535Z","title":null,"venue":null,"work_id":"6fc28121-70b5-4a09-82d5-76209e2fbe1f","year":2024},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.314663Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:b4bee3c1cb44335b749ee4979310b493ce0186ed70f3dc1c82bd39bec47c3f47","observation_id":"36b150f2-9f97-48b6-be8c-a2621133b114","resolution":{"observed_at":"2026-08-12T15:33:29.991127Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.909814Z","title":"Raissi, P","venue":null,"work_id":"da8b8b01-8609-4ed0-b80d-ba6c349db87a","year":2019},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.355721Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:753908ace4bfc3743514a9d53ce3e6e8483bf92dddff7b0aa358e63db7526c3d","observation_id":"17319db5-353c-40cb-b8b4-abe7efc33a27","resolution":{"observed_at":"2026-08-12T15:33:29.939634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.789515Z","title":"Physics-informed machine learn- ing,","venue":null,"work_id":"e84ff3df-2c49-4673-82a9-d339170879c7","year":2021},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.390409Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:b8cf53669752fcde457655445e3b36d646775786316dbbf40cc197e1a04c8d71","observation_id":"56b9405a-58c8-4a6d-8727-e5c768799ce0","resolution":{"observed_at":"2026-08-12T15:33:29.836146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.743275Z","title":"Penwarden, S","venue":null,"work_id":"3207bede-489c-40e0-9baa-6a96a8dd5aad","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.419283Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:47313e3701c6ba7072a2bc7baa65e10fb9bde7aa216395426b058a3805868e15","observation_id":"0793b517-23ff-4074-8854-e3856873518e","resolution":{"observed_at":"2026-08-12T15:33:29.746784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.683369Z","title":"Saadat, W","venue":null,"work_id":"c0b13961-cb47-4fb3-8343-f5315f77e610","year":2024},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.454399Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:ec83a0ab21b729587e564fa2edd8b12a63b2daaf42e5a0c0546ea3efaeba2398","observation_id":"01d97c20-9f01-496b-94e9-9ed212a0edc5","resolution":{"observed_at":"2026-08-12T15:33:29.722273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.563574Z","title":"Yu and P","venue":null,"work_id":"3b7f9e74-8a80-4b2c-9c26-62eb397a81f1","year":2020},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.475744Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:8111193ad864783c6f7b58e389e79f02a48a98c9feed3723209e1cf1a0414718","observation_id":"dea5f0cc-132f-47f3-8060-ba5abe5c991e","resolution":{"observed_at":"2026-08-12T15:33:29.629070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.456814Z","title":"Zhang, B","venue":null,"work_id":"ee924b67-d3e8-43d3-985a-cf168340376e","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.503396Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:a046c422e479f9dc1dd403eb0284fa15a2fd3d3b9c2a605dcd38a3f9f9083ec2","observation_id":"00b64c98-9a4a-4907-acfc-67d171cfbcdd","resolution":{"observed_at":"2026-08-12T15:33:29.516204Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.396847Z","title":"Mimar and G","venue":null,"work_id":"bba12647-23ac-4557-8d77-96c95df2b381","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.523931Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:eac24b3b916b279c1d51f0eeaca202c631b02fc7a4f4bf818b6213fb732be91f","observation_id":"73d05a9b-3f88-4d68-baf6-66cf23d8bd0f","resolution":{"observed_at":"2026-08-12T15:33:29.400155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.383684Z","title":null,"venue":null,"work_id":"7e0f1672-2581-4a2b-80ca-3b427ec038b4","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.545849Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:c74a3c163737c774ae1851eaf715517389444fd86ca09f7bf4db3bf10506c343","observation_id":"d2c7d06c-6414-4def-9f3d-649d83a2ae36","resolution":{"observed_at":"2026-08-12T15:33:29.389710Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.299937Z","title":"Reiser, M","venue":null,"work_id":"bede1c09-c7ef-4d33-90a3-fd615fd7a9a4","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.578773Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:cf3a2b84293250a2f82dac8e504425a50b0f386148421c7f7f0260317001d5d8","observation_id":"74827078-d4fc-4e61-bd12-cbaba9a9acb9","resolution":{"observed_at":"2026-08-12T15:33:29.351914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.190347Z","title":"Gurnani, C","venue":null,"work_id":"6df16540-087a-492e-8941-218d4915530c","year":2023},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.615989Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:17d00ce24eeb416836ffe5ec2de96254fc9b32b365887a1e471f72057c45c8e1","observation_id":"58d78579-7e51-409f-bad0-a93fb68d9a0a","resolution":{"observed_at":"2026-08-12T15:33:29.236133Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.175662Z","title":null,"venue":null,"work_id":"152c26d6-ac23-42b5-9da0-21d81dc8c2be","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.643366Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:e976c172644e1bcc56cbc0280a056dfaf0840af8f03ad93a89cbf32b3145f4b7","observation_id":"afc9b6a5-2dbe-4b1a-904a-ea7e072eaa1a","resolution":{"observed_at":"2026-08-12T15:33:29.183335Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:29.103617Z","title":"Graph neural networks for molecules,","venue":null,"work_id":"686e4c0c-b1af-4e2a-8488-605ed0cac52e","year":2023},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.683221Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:266f92c9bf23132fc1f6ed6b3e23d648319a76260a88b9c6ac0dd93aa00e5ff5","observation_id":"ed53b81f-3900-4601-926a-90515f3f4c1a","resolution":{"observed_at":"2026-08-12T15:33:29.148803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.987750Z","title":"Head and C","venue":null,"work_id":"c59b959b-8fc5-4d16-a028-80e0b5c451e0","year":2019},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.714281Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:cbe5f3c498e7a57a62ff9f6514abf49e2e19cec547cd636a48a9907c2536bfa7","observation_id":"30d971c0-61c4-4b14-ba53-418e55c75de6","resolution":{"observed_at":"2026-08-12T15:33:29.047350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.896940Z","title":"Head, Physical Review Letters 129, 018001 (2022)","venue":null,"work_id":"c9d7d91a-8d92-45bb-b5fc-566305dc756c","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.764047Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:4662ac069b0bc57e2dc493c116b5df0b918d8806744a8eb91b6a990a698362d5","observation_id":"9084ac66-1f03-487d-a0d1-e6dcd03efee7","resolution":{"observed_at":"2026-08-12T15:33:28.929052Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.841390Z","title":null,"venue":null,"work_id":"b9323979-3c45-4784-9132-071271907540","year":2016},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.836596Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:c72993e6a0d665016d2a29139d27d6a7dacfd5e3a804091aeb8738afa7594fe5","observation_id":"05c5182c-5ac5-4b6c-9459-606692e81846","resolution":{"observed_at":"2026-08-12T15:33:28.863229Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.735559Z","title":null,"venue":null,"work_id":"852a5c7a-dfff-416f-9f35-3e469753afd2","year":1987},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.898561Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:cfb2d9064bcde111ab639d2e59be22fcbce777d24046478f2547ac69fd7c9fac","observation_id":"75b4e906-94d7-4c2b-b049-49d9c1e6e31e","resolution":{"observed_at":"2026-08-12T15:33:28.784350Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.652412Z","title":null,"venue":null,"work_id":"1c74281d-337b-4e42-ac94-36032a8a5b7e","year":null},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.933937Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:3d3cc618d54e947d02df137758e83f5742983a4251e3d3bf1bb4ffdfbb884353","observation_id":"d2360756-7d9a-4fa0-8143-b18ff81aef62","resolution":{"observed_at":"2026-08-12T15:33:28.683747Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.600037Z","title":"Defferrard, X","venue":null,"work_id":"5658001a-4505-4c27-b483-56349b717661","year":2016},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.964742Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:c2d381a69b25eb33ddc0b92907d33ea917a8d74cea23b7693c0a4e8861c49c1d","observation_id":"24bb995c-baaa-44c8-9b13-a956529fa619","resolution":{"observed_at":"2026-08-12T15:33:28.622709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.534446Z","title":null,"venue":null,"work_id":"a8d022ea-079b-4f9e-8636-6decc8072751","year":2018},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.978964Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:5ed07219eeb8e0b4434c28ef2dc624d9ec887a997a262f60bf1ba636ca9bc7b4","observation_id":"bb8affec-8a14-428b-8f41-ba0992346bde","resolution":{"observed_at":"2026-08-12T15:33:28.580596Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.428106Z","title":"Haykin, Neural Networks and Learning Machines, 3rd ed","venue":null,"work_id":"78c6e559-37a3-4794-b3b5-fe6e063a2eaf","year":2018},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:27.993526Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:117cc55628741de2e51292b95db184603dbfe6c6590f920bbefc5354c810c3fa","observation_id":"f043bed4-d675-4bd1-ba57-dba7c7f8dc25","resolution":{"observed_at":"2026-08-12T15:33:28.479175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.374210Z","title":null,"venue":null,"work_id":"91b71c7e-bfbd-4bb1-9868-06f3ccc8062a","year":null},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:28.013317Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:e9c5c6b00ba09606e4b723a9b2c1d5690dc36d27d8862da84a276c317ac041f7","observation_id":"dae06dd2-7e75-446d-9417-5a800baa4f1f","resolution":{"observed_at":"2026-08-12T15:33:28.388186Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.331389Z","title":null,"venue":null,"work_id":"2d622e4f-f8d4-4e28-9141-dccaea072cc2","year":null},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:28.039211Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:179a96bcf2d0f7289b4c69cd516617ffd0866c1e23e064a5efe1ed5e374d609c","observation_id":"2f940642-758e-4449-b8c4-fff8fb71677f","resolution":{"observed_at":"2026-08-12T15:33:28.351541Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.273952Z","title":"Zhang, L","venue":null,"work_id":"c7d1f17e-6110-4e58-9524-d9a8603bbc92","year":2019},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:28.079370Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:989ed5ea01430cd538d2642226414171e91d72d548376084cb7d5ea02ff54c2d","observation_id":"4a1b345a-27dc-461a-be87-217393cea448","resolution":{"observed_at":"2026-08-12T15:33:28.304987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T15:33:28.185527Z","title":null,"venue":null,"work_id":"f7046583-365a-46c9-b4de-256bea1f707a","year":2022},"citing_paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T15:33:28.124038Z"},"links":{"citing_paper":"/paper/2411.14159"},"observation_digest":"sha256:b7f64d74cd5f12479424bec1eb6e858c13f346269ca17199a50ab25dbd5048ec","observation_id":"c57f8a0c-a854-4cd3-a3c1-1e49c7cb766e","resolution":{"observed_at":"2026-08-12T15:33:28.233454Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.14159","last_updated":"2025-03-28T09:24:52Z","latest_version":2,"primary_category":"physics.comp-ph","snapshot_observed_at":"2026-08-12T15:26:02.682237Z","submitted_at":"2024-11-21T14:19:40Z","title":"Predicting rigidity and connectivity percolation in disordered particulate networks using graph neural networks"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":17,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":42},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2411.14159."}