{"as_of":"2026-08-17T19:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd138c03a47eda1113f9dfdd4e0c87816c172ca688120f7224608a40a10be8d4","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:04:30.497875Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.14159/citation-record","integrity":"/paper/2507.14159/integrity","json":"/paper/2507.14159/citation-record.json","paper":"/paper/2507.14159"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:37.429713Z","title":"& Kumar, A","venue":null,"work_id":"4c73992c-1826-4305-bf35-c46e5a28bb2f","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.065408Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:f7ad1bcc0ee5485b101d346512b0b2ff46b58a27a76eec87be302c324d56285f","observation_id":"19ce8d55-5897-401b-8714-004bafb2d85b","resolution":{"observed_at":"2026-08-06T20:04:37.514637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:37.259212Z","title":"& Hey, T","venue":null,"work_id":"95f9bbe9-9c77-4428-8b00-c63e90377e5b","year":2022},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.116874Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:48c1cb5b724bc97b93d99a3c2fc9dfe658d56cccdae1b808d11360b714e1668f","observation_id":"d488fb62-f853-4573-8bf0-f566f77285e2","resolution":{"observed_at":"2026-08-06T20:04:37.335075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.03295","last_updated":"2016-10-11T12:09:03Z","snapshot_observed_at":"2026-08-14T21:35:45.210326Z","submitted_at":"2016-10-11T12:09:03Z","title":"Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.03295","snapshot_observed_at":"2026-08-06T20:04:27.251284Z","title":"& Shashua, A","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.251284Z"},"links":{"cited_paper":"/paper/1610.03295","citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:c400fa5795af82f04b0ab61671297020bcb8dd2f0a758c290fa39b2903c8e5f5","observation_id":"052d1ef4-2717-4101-b785-7306ac5912b2","resolution":{"observed_at":"2026-08-06T20:04:27.251284Z","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":"2026-08-06T20:04:37.081367Z","title":"S., Shah, N","venue":null,"work_id":"bc7acc9f-867c-4a30-b85d-0e55d4d9f666","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.341306Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:43856f8d20bb3b58cdcf3d876cdd68ce52861715b840e77fdfebeaa526809bd0","observation_id":"ded2e74b-c4ae-4f09-9311-ca4d0ee05fec","resolution":{"observed_at":"2026-08-06T20:04:37.189925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.852201Z","title":"Y ., Hu, Y","venue":null,"work_id":"122e1768-c648-45c8-ac6e-b1f95359de12","year":2011},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.440406Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:38bc5b12151e98167fef56f4fe9797ed88c4125e4bb65cad98b137a499e618b3","observation_id":"93d219f9-ffcd-46dc-83ea-8146618790ef","resolution":{"observed_at":"2026-08-06T20:04:36.983140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.771960Z","title":null,"venue":null,"work_id":"6fdaeca2-2602-4a4a-b459-cd8959003f47","year":2015},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.484078Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:ceb5d9160d8a0ec0746639f558a1992c97b4bff9537232d5968744f4ac1462d1","observation_id":"3ef01ec0-7c92-4be7-b1ab-f050653f6860","resolution":{"observed_at":"2026-08-06T20:04:36.841857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.660619Z","title":"& Talwalkar, A","venue":null,"work_id":"1a4ae47d-7e5e-46b1-a8a7-1395db77b8ba","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.537117Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:c664737698d31531307162ff0c867424fba5ea018a5cc524f04998ca78b1a386","observation_id":"26efba19-c21e-409d-858a-a669d632ce6a","resolution":{"observed_at":"2026-08-06T20:04:36.703024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.569797Z","title":"& Han, Z","venue":null,"work_id":"07b0a79d-8f1a-4815-98ba-ed9720043a05","year":2023},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.605493Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:8373185d232e9cec37a54130463333ae48407a278c1fcf45a8949cbfd4c793d0","observation_id":"3393fc2d-765f-40db-b3fd-3147ab8048df","resolution":{"observed_at":"2026-08-06T20:04:36.603616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.453061Z","title":null,"venue":null,"work_id":"98cb1098-c1ea-4db4-8cb2-26615f0b0fff","year":2023},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.658356Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:36bf8fcef48528bbc1a8a7a675d6bc794b787cbbd842c872dc649c50e42169f0","observation_id":"df166d0d-7ac9-460a-ad67-a0b514b6767d","resolution":{"observed_at":"2026-08-06T20:04:36.505882Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.353891Z","title":null,"venue":null,"work_id":"6edfe418-027b-458e-9859-d17d61f6ae98","year":2023},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.732292Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:1afd9e67115105e6c54f47f809fdc463fbca99411a7480c6166cbb88c6f41d8f","observation_id":"0d605a3c-b7bf-42be-9efc-4de56da0521a","resolution":{"observed_at":"2026-08-06T20:04:36.398557Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.244627Z","title":null,"venue":null,"work_id":"0a50985c-a91f-444f-b898-f89bd93cd103","year":2013},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.784402Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:3a24fc497112d257345582c0726e52252430e7f93bbb2647008dfcfa54f59027","observation_id":"76dca304-fa65-44e3-896a-8744de0403d8","resolution":{"observed_at":"2026-08-06T20:04:36.295620Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.156689Z","title":"Monte Carlo: concepts, algorithms, and applications (Springer Science & Business Media, 2013)","venue":null,"work_id":"8de98d40-b78b-4aaf-8e70-5a48726bed9d","year":2013},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.846177Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0cce1e6105e342c28851eb64431ee00cbb67ee3f3d09964fdb3a4627700341db","observation_id":"542d5c6f-f63b-4c4a-8f1c-185b7331ec07","resolution":{"observed_at":"2026-08-06T20:04:36.193514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:36.051486Z","title":null,"venue":null,"work_id":"f019053a-961b-42a8-a45b-07fff02da847","year":2000},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.914895Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0c7bdf28c7106da62e7196858e0041504aa35d317337dc89843d9ba9143a08e9","observation_id":"3723c96e-0397-45cd-a2ff-1b1d56ecbf27","resolution":{"observed_at":"2026-08-06T20:04:36.104047Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.934341Z","title":null,"venue":null,"work_id":"625a14a8-bfa2-4baf-a1ea-46d82d7b469b","year":2017},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:27.947864Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:aefd800db3724e281192c5f75592e0e2552c7a88bb36eda6b3d3fdb4b349ac6b","observation_id":"47f1e37d-53a1-40b2-aa08-6bd582479620","resolution":{"observed_at":"2026-08-06T20:04:35.986599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.822003Z","title":"P., Liu, Y .-H","venue":null,"work_id":"ed50f2a9-323c-4576-8990-baa8de81870c","year":2017},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.028499Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:a6d3f45ee3ebcf39968be580296555be445589bdf5cff6bcc47b8f00f53ba1d8","observation_id":"e0ab8032-4235-4fed-9756-e5908eeec73e","resolution":{"observed_at":"2026-08-06T20:04:35.871396Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:28.082611Z","title":"& Melko, R","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.082611Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:daf94c807649f7f273a68659ee448aedcab1ea19bcdeae01a452c3bf03a4a288","observation_id":"2564f72e-313b-4f8a-99ae-45204b4ac705","resolution":{"observed_at":"2026-08-06T20:04:28.082611Z","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":"2026-08-06T20:04:35.692415Z","title":null,"venue":null,"work_id":"cd1befab-1fa2-4a90-b59d-4392838723e3","year":1980},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.151660Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:c3f42f666e1a8c566daa608d86e1a282a5bc8852015b7e731e8476bf6ab50d7f","observation_id":"9a4287ef-8bc4-4457-bc0d-6e03b1018a5e","resolution":{"observed_at":"2026-08-06T20:04:35.746222Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.576302Z","title":"& Seager, C","venue":null,"work_id":"c9fc39c2-e2bf-4c30-ae39-1211b3dfe043","year":1974},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.220020Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:cac8665e90447e4e3eacbd867a952395c8a801fd323ed05dfcccba9c3aaed032","observation_id":"deef25d6-114d-4455-8d8b-600b2c68e0e1","resolution":{"observed_at":"2026-08-06T20:04:35.628447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.455262Z","title":"& Ziff, R","venue":null,"work_id":"f8614d8e-17bd-4ba0-a48e-13155fc195fd","year":2000},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.278583Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:703e2111f4b99c54c4920d0522c1709e97cc0c5db0da113de0135a832bc83903","observation_id":"954e2aae-0e34-4e06-8e4b-55aad2cacc59","resolution":{"observed_at":"2026-08-06T20:04:35.541273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.297871Z","title":"& Zhou, K","venue":null,"work_id":"1902cef0-2382-462d-b6ea-bca8925210cc","year":2023},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.344470Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:f3709df1a814302e0df448fe95e8aa605c25917bc22fe3eb294bfd6c86e8e7fb","observation_id":"9899a935-2e99-4008-a58a-ead3deede0b4","resolution":{"observed_at":"2026-08-06T20:04:35.364254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.143535Z","title":null,"venue":null,"work_id":"105b5787-cd3e-4ff3-a818-cdac402e92e6","year":2019},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.397114Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:ae8c77fd3bfe8dce7f9f446882ca20b35d403f2eb6fe4c878ee16b9c5a08bf4f","observation_id":"4cf662e0-028a-4ad6-bdfe-b6778ab2e1dd","resolution":{"observed_at":"2026-08-06T20:04:35.224631Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:35.042639Z","title":"& Wei, T","venue":null,"work_id":"a0d0b71d-7bf5-480c-8a9d-cb3411d70328","year":2019},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.469984Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:49fd0c37e63631c48cbc8512fc1bf120584e00c62cb94920f5dfbc7e39ef8b82","observation_id":"fcf0ec87-7639-4f42-896e-bedb4a4a089a","resolution":{"observed_at":"2026-08-06T20:04:35.100206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.928558Z","title":null,"venue":null,"work_id":"e1d1d1b7-231a-458b-a676-3f28b3a3cba5","year":2023},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.517679Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:97b31df8718826a7b13039fc5d623b454f0237da6a2c5645154de38d330f6fa8","observation_id":"e423f303-ddb6-4c98-82e4-456e23115877","resolution":{"observed_at":"2026-08-06T20:04:34.960448Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.786073Z","title":"& Wetzel, S","venue":null,"work_id":"1971585c-254e-4d56-966d-e1bd684d0164","year":2022},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.556434Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:46d61225704a016303410a06b9fc08a0481844815c441f1758da7601f7f717da","observation_id":"51991e1c-2ed7-48c2-8626-2a152d664eac","resolution":{"observed_at":"2026-08-06T20:04:34.868322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.647683Z","title":"Discovering phase transitions with unsupervised learning","venue":null,"work_id":"7ff6922d-f594-47da-9c59-bdc397e0c287","year":2016},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.614299Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0d214a46a9f033752df1c685911b1d9f87ae39963014324cd58f7e49719d48c9","observation_id":"f6692c2a-271c-40c8-8b49-d078c8b1bed2","resolution":{"observed_at":"2026-08-06T20:04:34.722698Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.527553Z","title":null,"venue":null,"work_id":"b09a63f3-5343-4eb6-a5be-c2e77aa4ae7d","year":2017},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.686932Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:f7089e73f86ac8c28336eb608899be0199614387bf5f9bdab0e8bd326e0fa99b","observation_id":"1bbce515-41e3-45b4-b33e-014cefc89e5d","resolution":{"observed_at":"2026-08-06T20:04:34.582107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.387377Z","title":null,"venue":null,"work_id":"0269d407-6f91-43c4-a437-91c755ea316d","year":2022},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.768853Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:cc33c000b401c3eed196a7ab1fe22d787ded154fc67c1d2cf475d4623e946b42","observation_id":"37bcfe55-4113-415a-a9dc-fc12531f7334","resolution":{"observed_at":"2026-08-06T20:04:34.439522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.242269Z","title":null,"venue":null,"work_id":"b2d7c7e2-7172-4e66-be90-eaef3e625e35","year":2023},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.837779Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0f9a0993441c2c8e921dfdd680f1e9b9c8d872139edee21e381aa32a96ae1b04","observation_id":"e1826815-7849-424d-9f8d-64f32f996681","resolution":{"observed_at":"2026-08-06T20:04:34.281947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:34.104556Z","title":null,"venue":null,"work_id":"663ba9b3-44b9-4d3a-8a86-6b98062e5062","year":2024},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.905525Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:4d7f0cf3f4d56536481ccedb97bea0b4d4c09aff53f57a800a0a1134bc667609","observation_id":"04710966-3988-4aab-a614-33ea19bfa1d0","resolution":{"observed_at":"2026-08-06T20:04:34.172292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.853694Z","title":null,"venue":null,"work_id":"fa343e49-3779-431c-a2ce-a4f39cd1ea06","year":2015},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:28.971149Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:33f1830ade04386027f3b3a00f7dfd7f04c46d6605034867422a9956a9a23b9e","observation_id":"f494a348-6cd4-4c67-b4c0-11225b32ed0a","resolution":{"observed_at":"2026-08-06T20:04:33.995658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.734284Z","title":"& Aharony, A","venue":null,"work_id":"74c6f3b7-bb9b-45ca-8600-c310b74bd3f3","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.069114Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:1fc897a5793328b189340c99db3398916f252f5647b5e59ca365ee8370fe91ab","observation_id":"cc1cfad4-21df-4e79-a28a-5e66f8c1998a","resolution":{"observed_at":"2026-08-06T20:04:33.800004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.589402Z","title":null,"venue":null,"work_id":"06395771-9b86-4867-a8b5-296ee5a2da5d","year":1971},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.143841Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:6fe8725c53fa0c29216532d6e7a9cc0191ff2bbdd7449f63ccb44855a92c8f11","observation_id":"91ccd61d-34ba-451b-b82c-f089a9fee68a","resolution":{"observed_at":"2026-08-06T20:04:33.641992Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.448487Z","title":null,"venue":null,"work_id":"60902a9b-6ad0-4ddd-8e58-1a2f424623cf","year":2015},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.242870Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:f306ff9860d03460705847a69b63aa2dc71cf707b32d883bc5dfafefc3003459","observation_id":"3ca0d211-3d79-4b8c-8e40-4d9b6bb71b5c","resolution":{"observed_at":"2026-08-06T20:04:33.508990Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.304990Z","title":null,"venue":null,"work_id":"f0773ac9-8cbf-479c-8b07-055ecfb25cd2","year":1992},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.311239Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:fc8c7d0864df797e71cd9ccd6bde2bf32e0c87c451776c0ab13bdbb7900e299d","observation_id":"62c67606-3b16-41fd-8fbd-a9f4b6305ba6","resolution":{"observed_at":"2026-08-06T20:04:33.360575Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.165818Z","title":"& Ziff, R","venue":null,"work_id":"8919520e-5e2b-42a2-96bc-d796de3bf165","year":2014},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.360855Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:e4811f976a892a83685d17da4d3f6997ee1df6466e5b6c337257567caffbdbb5","observation_id":"175f1e33-fb53-4b98-8a3d-a269a4a89ef4","resolution":{"observed_at":"2026-08-06T20:04:33.204522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:33.006400Z","title":"& Moloney, N","venue":null,"work_id":"b89b0bea-3611-48a6-8ecd-45809898fd91","year":2005},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.436528Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:8d8ed0366a3419893268d5e385c5e805c645b788f94c6fa5312159697da23dc7","observation_id":"5660975e-ad6a-4437-8a9e-7e0dff790c41","resolution":{"observed_at":"2026-08-06T20:04:33.081940Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:32.865857Z","title":null,"venue":null,"work_id":"dee3aaa4-1e78-4ee4-ac08-533aed8770f3","year":2007},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.498285Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:2985860cd1304d223f681ea5a0485cf99afdff77c284218e10ccdc070148a0af","observation_id":"a678b20f-0da2-46c9-b28d-2b4daf75ba61","resolution":{"observed_at":"2026-08-06T20:04:32.950308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:32.727694Z","title":"& Mitkov, R","venue":null,"work_id":"7ed10c33-e042-44e9-80dc-8f2864ff83ec","year":2019},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.580094Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:c14c819cb0f12fb65c4b55c56f2148d7fb62756ea31a76dae09cedecd3f6be67","observation_id":"f1950929-fea9-459b-81fd-a8a11ccbfbdd","resolution":{"observed_at":"2026-08-06T20:04:32.787495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:32.621038Z","title":"Siamese neural networks: An overview","venue":null,"work_id":"86c9adef-502a-4a41-89c0-f783387ee28b","year":2021},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.641481Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:d21b12e95c383ceafe403e77a5620e613245ee36737c304acaa040c44b832bfa","observation_id":"c4103a2c-05f4-4050-8e04-a0d0679fab4d","resolution":{"observed_at":"2026-08-06T20:04:32.672286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:32.374435Z","title":null,"venue":null,"work_id":"6a527c55-8651-4cff-9cd6-5b210d2f59af","year":2016},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.708922Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0765b1e6cb5d79520d2199ce744cbc6344b57c4fa513e58cceeb160de9087129","observation_id":"a539f160-3f97-48dd-becb-b65e027e6ab6","resolution":{"observed_at":"2026-08-06T20:04:32.504940Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:32.151011Z","title":"& Wolf, L","venue":null,"work_id":"93bf14a1-8440-41e6-8b78-6e69fceac75c","year":2014},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.789226Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:a3721d841911c9cabef471ea17fe716af23baffb546df95206757375b3a65704","observation_id":"c1bff045-5547-431e-a5c8-53a21776c514","resolution":{"observed_at":"2026-08-06T20:04:32.235442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:32.024157Z","title":null,"venue":null,"work_id":"4d664e18-ae1a-41b0-88dc-f26baac95080","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.842438Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:af8058a70cfcaa99451ec71515a1c8c0270d48d037cf4e1538b6526dfb3b1d6f","observation_id":"615b78a0-004a-4093-9930-dffe75b33894","resolution":{"observed_at":"2026-08-06T20:04:32.085883Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:31.924325Z","title":"& Blöte, H","venue":null,"work_id":"c00ba432-bb4a-4a04-8d24-a657d7407e2d","year":2005},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:29.956039Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:b530d24fe28caed29c2d899a9bfdcd3e9f4bed163b24e851d11c653df06006ec","observation_id":"08fbeffa-a119-4080-a72a-bc5c37420075","resolution":{"observed_at":"2026-08-06T20:04:31.981939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:31.771295Z","title":"& Grossman, J","venue":null,"work_id":"75a9b1c5-cd4c-40ea-bed0-2624ca352027","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.041248Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:5b37ade0ce5af23d79a868cd3d822262d7ac1e49d87471d34bd580fd8c2be1ac","observation_id":"2fb1557e-7961-40ec-8c9e-83f51a25d7dc","resolution":{"observed_at":"2026-08-06T20:04:31.845527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:31.604641Z","title":null,"venue":null,"work_id":"8eec41b0-68da-4d5d-b244-8455a7abdc19","year":2019},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.128291Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:f487a5b5ba16f70d586ef43e60e14cb5523941e064607c57ec4c12a96405dfe9","observation_id":"9a95f7b9-c294-42d2-937d-b8ecc4785bf5","resolution":{"observed_at":"2026-08-06T20:04:31.655760Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:31.420025Z","title":"& Zhang, D","venue":null,"work_id":"e01f9772-09cf-42ef-ae63-f85e0553b042","year":2021},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.201383Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:4c7427d55f0e440d47034336d7af2eac6a4996679f4db77cceab30ea0e73b06e","observation_id":"71630d06-47c8-40d6-906b-1b8b267523e2","resolution":{"observed_at":"2026-08-06T20:04:31.493885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:31.161552Z","title":"& Ringel, Z","venue":null,"work_id":"e7ff9478-85c4-4854-9666-ed3d1afa49fb","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.255175Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0a6ed7a70a5d780950c303a8dc1d9842e811cd8bb58c87efe1031c0824876377","observation_id":"7f0ec239-db3e-4e39-9477-f04e174be284","resolution":{"observed_at":"2026-08-06T20:04:31.348648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:30.953908Z","title":"& Wang, L","venue":null,"work_id":"3cacd7c3-7445-4b59-ba51-8100e47ca5b7","year":2018},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.343091Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:7b1f4d26a428347a071ac3173605976faf0d321fecfc8c99366560636eda94f8","observation_id":"dbdac2ca-aa61-4797-8019-dd1ad377d6b3","resolution":{"observed_at":"2026-08-06T20:04:31.056707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:30.821006Z","title":"Non-equilibrium phase transitions (Springer, 2008)","venue":null,"work_id":"8662a8b4-521d-4dbf-a46f-5fcb1753cac5","year":2008},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.407236Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:5c41a4b7fe7ac6adbf6703cf2a5c3baf7f519d5db0430e6e91f2650c6954a148","observation_id":"b76fd2a5-8aa7-4d29-a7cd-51d877a20592","resolution":{"observed_at":"2026-08-06T20:04:30.899201Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:04:30.615881Z","title":null,"venue":null,"work_id":"eb77e992-8a23-4a4e-a3f4-b72d55af93be","year":2014},"citing_paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T20:04:30.497875Z"},"links":{"citing_paper":"/paper/2507.14159"},"observation_digest":"sha256:0c81fa2259c760c9ad33060e88a248c238045f5b476bc9d1069cdb5ff0ed2a20","observation_id":"698e8dda-6bce-4345-81d8-879586e6f359","resolution":{"observed_at":"2026-08-06T20:04:30.708839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.14159","last_updated":"2026-07-08T09:14:49Z","latest_version":2,"primary_category":"cond-mat.dis-nn","snapshot_observed_at":"2026-08-08T05:00:43.442484Z","submitted_at":"2025-07-05T09:51:26Z","title":"Siamese Neural Network for Label-Efficient Critical Phenomena Prediction in 3D Percolation Models"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":50},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2507.14159."}