{"as_of":"2026-08-22T19:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7fc5aba830480a0e5b9610916d60b3cd7ce8ef7fffcd73f9aeed420c031e904","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:21:37.979412Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2505.10331/citation-record","integrity":"/paper/2505.10331/integrity","json":"/paper/2505.10331/citation-record.json","paper":"/paper/2505.10331"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:21:38.392458Z","title":"A review on neural networks with random weights,","venue":null,"work_id":"111323f9-39b0-44e9-990b-69fc90e2fe89","year":2018},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.849012Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:42c3254453a6f565e815ceeb6a0464d87208b14a845db385b2c9bc16cb950d25","observation_id":"3cc1e5f8-02fd-46c6-b73a-f0d6af7fcd57","resolution":{"observed_at":"2026-08-15T21:21:38.395678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:37.853795Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.853795Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:5da545857c47eb67ca03fd14827e015d957966e4e8f20e92b62634e2fe25e4b0","observation_id":"5def8cea-1519-44f5-a3f9-6b425d720d8b","resolution":{"observed_at":"2026-08-15T21:21:37.853795Z","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":"2026-08-15T21:21:38.373611Z","title":"Couillet and Z","venue":null,"work_id":"ba9893d1-da16-4eed-9747-b52bf1fd78ec","year":2022},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.857933Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:156aba5dd6dfd87bf78097eb17dbae6c6e782bd7020951893213534a5969fd9e","observation_id":"5570f92c-86d2-467e-a7d3-67ed3b66c42c","resolution":{"observed_at":"2026-08-15T21:21:38.377612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:37.862358Z","title":"Backpropagation and stochastic gradient descent method,","venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.862358Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:e259c5e18417653a2bd9a49b2479cf852d165656f227bf04fddac5e0c89e33df","observation_id":"6c42d621-d985-4995-bb8a-399c44973664","resolution":{"observed_at":"2026-08-15T21:21:37.862358Z","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":"2026-08-15T21:21:38.353438Z","title":"Engel, Statistical mechanics of learning","venue":null,"work_id":"2f30a535-a2ca-4a76-b22e-5e918e3d7d91","year":2001},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.867272Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:a46b20db8fd8d71cf10a50ad886b31d1a03ac9299218e42d460d806a274c65f0","observation_id":"2fcee71a-ee1c-4f6a-8170-fac47fa667bf","resolution":{"observed_at":"2026-08-15T21:21:38.357552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.08863","last_updated":"2017-05-02T22:43:10Z","snapshot_observed_at":"2026-08-18T07:50:35.911241Z","submitted_at":"2017-04-28T09:57:52Z","title":"On weight initialization in deep neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.08863","snapshot_observed_at":"2026-08-15T21:21:37.871745Z","title":"On weight initialization in deep neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.871745Z"},"links":{"cited_paper":"/paper/1704.08863","citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:ee719243ec9d0868d1124b8e77c1207d464353988bc377408b9899af2dd9b079","observation_id":"5a5674b7-410d-4f3b-a2b3-cece5df72505","resolution":{"observed_at":"2026-08-15T21:21:37.871745Z","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":"2026-08-15T21:21:38.341828Z","title":"A review on weight initialization strategies for neural networks,","venue":null,"work_id":"6488ee9c-cac2-4fda-9742-10e4e4419cdf","year":2022},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.876922Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:03c372210cd80553ea8985198c02f7efd49abdabd9cf814026de714dc745f2a6","observation_id":"d0870297-def9-41f9-a7ad-20024a969f57","resolution":{"observed_at":"2026-08-15T21:21:38.345739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.330047Z","title":"Eigenvalues of covariance matrices: Application to neural-network learning,","venue":null,"work_id":"9dd3044b-6d4c-4959-8c9e-0b36dda1539a","year":1991},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.881544Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:b6b1f4ef78cb110a434dfe537df5d3bca502615a9d6b62be58064b4c04fac54b","observation_id":"f2d99a1a-7930-4145-96b0-d76eccd2148d","resolution":{"observed_at":"2026-08-15T21:21:38.334164Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:37.885264Z","title":"Attention is all you need,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.885264Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:5cf334d3e5b2ed47ef3e96a30e4e45368ef48b5c73e09fea651fa8ff43598526","observation_id":"fed200d3-9940-4e1b-bc64-3f0c99818467","resolution":{"observed_at":"2026-08-15T21:21:37.885264Z","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":"2026-08-15T21:21:38.308121Z","title":"Highly accurate protein structure prediction with alphafold,","venue":null,"work_id":"d724f54f-da58-422d-b4dd-6d6bc06139cc","year":2021},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.889198Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:71bbbfc0fe3bc980eb743b2d4cdeb4f214b9ac0ea454165b12ad069f25258f98","observation_id":"89b7f1c8-b392-4bc7-a49e-958d53cac252","resolution":{"observed_at":"2026-08-15T21:21:38.312672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.294091Z","title":"How does weight correlation affect generalisation ability of deep neural networks?,","venue":null,"work_id":"29fe0af9-6fad-4f45-8f40-8b64a8b44339","year":2020},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.893332Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:83c69cae6a9d0da80d144f825d4af30b89a6b11010990f7984a292ce3bceb670","observation_id":"d2be8fb9-63bd-4b59-8216-84b6f157d0e7","resolution":{"observed_at":"2026-08-15T21:21:38.299817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.281281Z","title":"Heavy-tailed universality predicts trends in test accuracies for very large pre-trained deep neural networks,","venue":null,"work_id":"bb4ab841-2332-459a-a270-1308c9bb19e7","year":2020},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.897051Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:563c46c8c595fbcdf710af173a97f57a419584f5995057b2a799eb92bb5eaad4","observation_id":"d93d23d7-f438-4fa5-a54a-d2ff5d87a0e2","resolution":{"observed_at":"2026-08-15T21:21:38.285785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.264843Z","title":"Computational power of neural networks: A characterization in terms of kolmogorov complexity,","venue":null,"work_id":"624cd367-d1ba-41cc-877d-d936daecc4f4","year":2002},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.901034Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:bf50a0012e041d984fb5e236a7481bd95c60efd91e8da962a1a156df58147202","observation_id":"01dd3298-ed11-4f7c-8d1b-f30c44cdfd4b","resolution":{"observed_at":"2026-08-15T21:21:38.269026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.249855Z","title":"Spin glass theory and its new challenge: structured disorder,","venue":null,"work_id":"7a14971e-def7-45b5-9dc0-b4f517ca9f21","year":2024},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.904822Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:2b75a0699398d871105f180783389821a248bbd005f849d03f6039f7d4708ea5","observation_id":"ddf62955-9268-4d4c-9669-6f033d73a236","resolution":{"observed_at":"2026-08-15T21:21:38.254571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:37.908474Z","title":"More is different: Broken symmetry and the nature of the hierarchical structure of science.,","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.908474Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:d514a9b1f867b5b1e552b36ce80e3fb39802d2e01f1a1efbf23980fdf8fba8af","observation_id":"6bfd1256-8d2a-4946-9d2f-3ff1f483fb00","resolution":{"observed_at":"2026-08-15T21:21:37.908474Z","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":"2026-08-15T21:21:38.229056Z","title":"The perceptron: A model for brain functioning. i,","venue":null,"work_id":"fd746fa5-0de5-4daf-bed9-8fb6615d1c1c","year":1962},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.913265Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:259634bf252cf92db405e0f1f5754b8997ea8f3a889eb1cc320dab8fb2d4ad9e","observation_id":"12467d9e-0b59-4348-9395-cc64ed305d4e","resolution":{"observed_at":"2026-08-15T21:21:38.233182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.218012Z","title":"Huang, Statistical mechanics","venue":null,"work_id":"3f754a99-4c85-4c0d-9c21-08ba345acc08","year":2008},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.916735Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:663ac22bacd5390f9565b8af7790471388b625fce7d4a92235c632c96efdb917","observation_id":"6afae37b-1901-40fe-aa14-c812907139ad","resolution":{"observed_at":"2026-08-15T21:21:38.221606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:37.920519Z","title":"Mnist handwritten digit database,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.920519Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:f744635b3050f94a61e6804fdcc78859fe3a6034a52b946d5cb9f8b619284ea8","observation_id":"87fad8c7-87eb-4447-9c81-316cd7f7d62e","resolution":{"observed_at":"2026-08-15T21:21:37.920519Z","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":"2026-08-15T21:21:37.924360Z","title":"Emerging opportunities and challenges for the future of reservoir computing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.924360Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:c60869f1b093281200ba4c0100cca6deec0ababc6798b21d8acce0b33d8b814b","observation_id":"6efad838-b6a3-4b11-aed4-597af4ef0445","resolution":{"observed_at":"2026-08-15T21:21:37.924360Z","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":"2026-08-15T21:21:38.191567Z","title":"A review on extreme learning machine,","venue":null,"work_id":"3905ed56-8d46-46de-9a0a-ead276a48083","year":2022},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.928236Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:6acd4c949dce6b2a1970188a30bb5511b9df06acc9d913767353fce39508ed15","observation_id":"23d9ec06-f441-4769-a1cb-c34664c897a1","resolution":{"observed_at":"2026-08-15T21:21:38.195781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.179572Z","title":"Visual feature extraction by a multilayered network of analog threshold ele- ments,","venue":null,"work_id":"045e969f-d3f0-4f00-8dbf-368540975efd","year":1969},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.932143Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:fac6aa2345c8b61519fb6035cadcb3d13509ccc0bfc397daa692e94056688066","observation_id":"094cf167-9853-497b-abcf-ac2e8422ced5","resolution":{"observed_at":"2026-08-15T21:21:38.183715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.167585Z","title":"On random weights and unsupervised feature learning.,","venue":null,"work_id":"7d445827-3976-4226-8fd8-892a692a97aa","year":2011},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.936471Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:ec015f2049fdc4e2bf59f23635b5312e8d6ff8cd40299db2ac922068eb08e94e","observation_id":"b44fb8ba-16af-4702-aa30-d7d1a96eb7b0","resolution":{"observed_at":"2026-08-15T21:21:38.171326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.154988Z","title":"Beyond simple features: A large-scale feature search approach to unconstrained face recognition,","venue":null,"work_id":"d530a5d0-c524-4239-896c-014a17f8da9e","year":2011},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.940340Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:dd7850b1a952b88d73f16b374588ee7edeef4d465b397ddf89234ee05c7b6161","observation_id":"cbbc8c99-3d69-4385-8dde-647ccf43c2be","resolution":{"observed_at":"2026-08-15T21:21:38.159127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.142290Z","title":"Deep neural networks with random gaussian weights: A universal classification strategy?,","venue":null,"work_id":"b494a723-0cb9-4dc9-ba06-0ac76385739c","year":2016},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.944542Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:70c38c415e0471805ba0673eb9f654e8549505132a2dcd7a61aa7c59d7ef810b","observation_id":"f10fd9b7-bbdc-4af0-8312-ea981f9eae3a","resolution":{"observed_at":"2026-08-15T21:21:38.146320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.130542Z","title":"Deep randomized neural networks,","venue":null,"work_id":"48b308db-6e23-4886-8b4b-bb9892e9d7e9","year":2020},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.947868Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:4b1028b007a5c5e5505d0d9d73fdf2eb807aa31ce4194df2be4a7eef5cdba4fb","observation_id":"96870a3a-7eca-493c-81c0-132928828f0b","resolution":{"observed_at":"2026-08-15T21:21:38.134369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-16T18:00:58.008096Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-15T21:21:37.951386Z","title":"Distilling the knowledge in a neural network,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.951386Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:ab44a6bf2432bd7a954c40526f9956e715a9a3a19fb54b3a10c3bc641a778f66","observation_id":"27437e67-45ca-4763-8edf-5e4dff24f2c1","resolution":{"observed_at":"2026-08-15T21:21:37.951386Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.00805","last_updated":"2018-08-21T00:02:44Z","snapshot_observed_at":"2026-08-20T00:00:03.960014Z","submitted_at":"2017-04-03T20:50:29Z","title":"On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.00805","snapshot_observed_at":"2026-08-15T21:21:37.955744Z","title":"On the properties of the softmax function with application in game theory and reinforcement learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.955744Z"},"links":{"cited_paper":"/paper/1704.00805","citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:2782143957b0926d878e592a467b49a2bbd99e2c6d6df8965c8c516f0b0bb6d9","observation_id":"1dc4b78b-d178-4f03-a981-1ebd89d73033","resolution":{"observed_at":"2026-08-15T21:21:37.955744Z","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":"2026-08-15T21:21:38.116745Z","title":"A phase transition in diffusion models reveals the hierarchical nature of data,","venue":null,"work_id":"e1861893-3294-49f9-a3a5-f2a8e5b82486","year":2025},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.960516Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:f9947d5f3144c11fee86eff765e4cb7bd9a1a40982bfddde119a75c418f72688","observation_id":"a5f826d3-4559-4685-8f48-7eb286d20360","resolution":{"observed_at":"2026-08-15T21:21:38.121985Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.103415Z","title":"Why and when can deep-but not shallow-networks avoid the curse of dimensionality: a review,","venue":null,"work_id":"39e62279-5ad0-4d01-835c-41e564daead6","year":2017},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.964978Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:9268068a4bf86f55c269dbc0c897a173182fe1803c6e98c9e39aff00dfced67a","observation_id":"2d2402eb-edd6-46eb-9f9e-1f6862bc0eca","resolution":{"observed_at":"2026-08-15T21:21:38.107775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.088300Z","title":"Intrinsic dimensionality estimation of submanifolds in rd,","venue":null,"work_id":"f35ca4a2-1afb-4620-8fd0-e76a1f147c0f","year":2005},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.968534Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:68e9dadfdfe5eb3c9288760fb1d5acf34c0f2c4fc105ee77e4fd3ef922b6cf3a","observation_id":"f735d672-cf42-4549-b17b-a61676084974","resolution":{"observed_at":"2026-08-15T21:21:38.094615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.074723Z","title":"Asymptotic learning curves of kernel methods: em- pirical data versus teacher–student paradigm,","venue":null,"work_id":"8ee21f22-da59-408d-8c24-b07d99d9cbb7","year":2020},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.972067Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:cfdd748a82a0f0afee8d6c89bba494ad9430d464877e32eae0ea0f76974d55c9","observation_id":"0c93bcb6-219c-4ec9-a3b7-63ddaf061522","resolution":{"observed_at":"2026-08-15T21:21:38.079199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.059562Z","title":"sign nX i exp ˜βEx′ h sign(wT ∗ x′x′T wi) i sign(wT ∗ xxT wi) !# , which can be rewritten, employing the identity sign(x) = 2· 1 ≥(x)− 1 that holds for everyx̸= 0, as −¯L∝ Ex,W1","venue":null,"work_id":"28e31157-44c2-4d35-ad82-2e7adab5f4c2","year":2018},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.975652Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:7dac0cae81b88b68539b55b50666a5c9e792061779103f38c610fcf49b566206","observation_id":"2cf22678-9559-4303-be94-58239f16b537","resolution":{"observed_at":"2026-08-15T21:21:38.065018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T21:21:38.044935Z","title":"Train accuracy : %.3 f","venue":null,"work_id":"65ee1c95-eff0-4ca1-81f8-347dff13a9ba","year":2025},"citing_paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T21:21:37.979412Z"},"links":{"citing_paper":"/paper/2505.10331"},"observation_digest":"sha256:458da44ff10efa83fe3c9d136c9e0c93e2850af6f5b9a01a0d7e3e178df1a193","observation_id":"cb7ec712-30a7-4539-b2da-3241b33eecd3","resolution":{"observed_at":"2026-08-15T21:21:38.050071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.10331","last_updated":"2025-05-15T14:20:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T01:27:56.430200Z","submitted_at":"2025-05-15T14:20:02Z","title":"Emergence of Structure in Ensembles of Random Neural Networks"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":24},"total_outbound_references":33},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2505.10331."}