{"as_of":"2026-08-10T16:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a06a44528cf3522280ad3f1b90a4fd4b980f646d8a217464c2b24237b37e327f","coverage":[{"denominator":54,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":54,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T00:22:01.220014Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2511.02003/citation-record","integrity":"/paper/2511.02003/integrity","json":"/paper/2511.02003/citation-record.json","paper":"/paper/2511.02003"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T00:22:01.001336Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.001336Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:be287251adef2bc5e45cc0deaca08ae231c47fce656d45ed76663e74845d9dfe","observation_id":"9ae288b2-3020-4982-94be-bc50b25ddcb3","resolution":{"observed_at":"2026-08-04T00:22:01.001336Z","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":"2026-08-04T00:22:01.006025Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.006025Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:c8c406ffb259dea0bf529b58b659ea7a93a263c31a855f119785efaea9391ef8","observation_id":"70cdaeb2-438c-488c-9fe8-0f521cc59dc5","resolution":{"observed_at":"2026-08-04T00:22:01.006025Z","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":"2026-08-04T00:22:01.009633Z","title":"Bahri, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.009633Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:2c62e44e27b10b05b18801b990e4779cc6cb420df8915069093d858c6614a721","observation_id":"b5f2e4ce-1989-4d4d-afb0-b859db221ebf","resolution":{"observed_at":"2026-08-04T00:22:01.009633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1611.01232","last_updated":"2017-04-04T19:36:14Z","snapshot_observed_at":"2026-08-10T08:47:08.603823Z","submitted_at":"2016-11-04T00:44:32Z","title":"Deep Information Propagation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01232","snapshot_observed_at":"2026-08-04T00:22:01.013461Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.013461Z"},"links":{"cited_paper":"/paper/1611.01232","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:ebf4aa2d6ec0df5d1c0cd527cca0e9797d577a6b32eacece8dc112862f251a14","observation_id":"d34f3d95-865d-4b15-aa00-c3c8d3303539","resolution":{"observed_at":"2026-08-04T00:22:01.013461Z","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":"2026-08-04T00:22:01.017775Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.017775Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:bbcf21f4b37e587d341ce35a3c52a30f6158fc7e785f7d7989ff53a43ec8f4d2","observation_id":"bf4bb321-f884-4280-ac4a-918cb7d9ce50","resolution":{"observed_at":"2026-08-04T00:22:01.017775Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.00396","last_updated":"2025-06-18T06:30:20Z","snapshot_observed_at":"2026-08-10T09:58:20.878488Z","submitted_at":"2024-10-01T04:39:04Z","title":"Dynamic neuron approach to deep neural networks: Decoupling neurons for renormalization group analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.00396","snapshot_observed_at":"2026-08-04T00:22:01.021611Z","title":"Lee, H.-S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.021611Z"},"links":{"cited_paper":"/paper/2410.00396","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:c0a9ba7d3708963e8acb8b1378b69af7b6441cc4eb41224fe3e7c48c13647a25","observation_id":"4bc85468-9717-4d61-a15f-dac5a3a02a5b","resolution":{"observed_at":"2026-08-04T00:22:01.021611Z","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":"2026-08-04T00:22:01.025297Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.025297Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:51e48bca7bf610149dfcffb2e7eb4d92e523695a004c50291c3db74362ff7785","observation_id":"1e61740b-48a8-4bb3-81a4-10262237c02f","resolution":{"observed_at":"2026-08-04T00:22:01.025297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.13221","last_updated":"2024-06-15T00:00:32Z","snapshot_observed_at":"2026-08-09T19:29:47.049830Z","submitted_at":"2023-04-26T01:03:11Z","title":"Nonlocality and Nonlinearity Implies Universality in Operator Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.13221","snapshot_observed_at":"2026-08-04T00:22:01.028593Z","title":"Lanthaler, Z","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.028593Z"},"links":{"cited_paper":"/paper/2304.13221","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:be6bb8da09e4cfcf8e1ac346198ab642b30d8d11a1c323887dd0c695ad0dc0c7","observation_id":"3be71041-7808-4888-81dd-39a1125b551b","resolution":{"observed_at":"2026-08-04T00:22:01.028593Z","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":"2026-08-04T00:22:01.032529Z","title":"Carnevali and S","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.032529Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:cd3419820ec83172fdaa4aa4273434cc497eb0e0237665be6112d88f81a79876","observation_id":"7650c949-8b93-497e-8e8b-8286768cf27d","resolution":{"observed_at":"2026-08-04T00:22:01.032529Z","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":"2026-08-04T00:22:01.036786Z","title":"Tishby, E","venue":null,"work_id":null,"year":1989},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.036786Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:a899e7f8ea427871f4f73a6c8371023f7d32a04d2791ea25fc46dcc48443ad7a","observation_id":"0fb26f45-47cd-47e1-96ef-275b2a7bb994","resolution":{"observed_at":"2026-08-04T00:22:01.036786Z","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":"2026-08-04T00:22:01.040078Z","title":"Sompolinsky, N","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.040078Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:6900932f53af48277f6ea440e4d78d77d579d1b95b999d86ec6c6d617f5d6fc7","observation_id":"5303e3f9-eed2-4dad-b107-4da9ebeb37ad","resolution":{"observed_at":"2026-08-04T00:22:01.040078Z","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":"2026-08-04T00:22:01.043563Z","title":"Levin, N","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.043563Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:f63521e1cb04aefb1ffe710270d9183a2a16d4a765c0335d3884a2dbb0cea357","observation_id":"0f4d1b83-c16f-4f5b-a46a-03748ffb0b28","resolution":{"observed_at":"2026-08-04T00:22:01.043563Z","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":"2026-08-04T00:22:01.047200Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.047200Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:438efb2c412f933dd80d79a219e782d983ec7974293789d8e33caff468ac0702","observation_id":"52d68dfa-ea8c-482c-bcbd-52670785b6b4","resolution":{"observed_at":"2026-08-04T00:22:01.047200Z","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":"2026-08-04T00:22:01.050481Z","title":"Engel and C","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.050481Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:432c1998b710461bcf3b56f156a5bbed218634efa7b76010f1f17df4ddd1c3c2","observation_id":"239f946f-a7c1-4535-9bd9-da59d8eb113b","resolution":{"observed_at":"2026-08-04T00:22:01.050481Z","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":"2026-08-04T00:22:01.053928Z","title":"M´ ezard and A","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.053928Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:8edf0eae305aa1e4bbbf4d4bb3e6e57c9de04a5433ff055f807473a43e370f65","observation_id":"8e75edc7-5ab8-406c-9452-f2135bdaba7c","resolution":{"observed_at":"2026-08-04T00:22:01.053928Z","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":"2026-08-04T00:22:01.057343Z","title":"Gy¨ orgyi, First-order transition to perfect generaliza- tion in a neural network with binary synapses, Phys","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.057343Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:e81c1e6679834d0bdb22944497d06f378b069ea8c41768b5f1ceb71ff8561cc3","observation_id":"78b6b6ba-ca56-4246-893b-4ba39ca7cee2","resolution":{"observed_at":"2026-08-04T00:22:01.057343Z","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":"2026-08-04T00:22:01.061025Z","title":"Koebarle and W","venue":null,"work_id":null,"year":1990},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.061025Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:5f2aa753ea6e65162ddc67924a44a8815c79d0e2c8078752b986767cf71a32ea","observation_id":"0b8310bf-2228-4be6-aa71-50c2096b3f53","resolution":{"observed_at":"2026-08-04T00:22:01.061025Z","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":"2026-08-04T00:22:01.064387Z","title":"Advani, S","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.064387Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:ea1486b2b50e0e5d773e3ca83885473a24cc114aa11a6acb62d02133f0a55258","observation_id":"3c7be170-8a74-4545-b54c-0d305ed313de","resolution":{"observed_at":"2026-08-04T00:22:01.064387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1410.3831","last_updated":"2014-10-14T20:00:09Z","snapshot_observed_at":"2026-07-06T03:57:22.021017Z","submitted_at":"2014-10-14T20:00:09Z","title":"An exact mapping between the Variational Renormalization Group and Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1410.3831","snapshot_observed_at":"2026-08-04T00:22:01.068320Z","title":"Mehta and D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.068320Z"},"links":{"cited_paper":"/paper/1410.3831","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:c09fff1669d37ca1e44554a7706a1e56b8e59035846c6e34e05d92a9c77c9c29","observation_id":"5d423e3b-c7ae-46b8-ac0e-609bef27e5a1","resolution":{"observed_at":"2026-08-04T00:22:01.068320Z","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":"2026-08-04T00:22:01.072490Z","title":"Zdeborov´ a and F","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.072490Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:3a2db5d55950eef31cbd6a305b19b07712ff910f1abb7870b7ca6a315c84de34","observation_id":"eaada191-312d-4bd0-b52a-6290fc8c649e","resolution":{"observed_at":"2026-08-04T00:22:01.072490Z","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":"2026-08-04T00:22:01.076689Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.076689Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:42956dc0314972035108ef43232a774ff504379dce73a2a51cc286ae11c0ab1e","observation_id":"747b24c8-66f6-4f9f-9d9e-b002fd4316aa","resolution":{"observed_at":"2026-08-04T00:22:01.076689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.00165","last_updated":"2018-03-03T00:45:00Z","snapshot_observed_at":"2026-08-04T10:06:19.819372Z","submitted_at":"2017-11-01T02:13:25Z","title":"Deep Neural Networks as Gaussian Processes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.00165","snapshot_observed_at":"2026-08-04T00:22:01.081205Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.081205Z"},"links":{"cited_paper":"/paper/1711.00165","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:b6c7669cb2bae73ef850e224d9c9c24b2f6609f47b9cfc3d35f68bc5c9a0e29f","observation_id":"01913609-1511-42ce-919b-b64e51aaf5b4","resolution":{"observed_at":"2026-08-04T00:22:01.081205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.06570","last_updated":"2017-10-18T03:05:47Z","snapshot_observed_at":"2026-08-10T09:23:42.946138Z","submitted_at":"2017-10-18T03:05:47Z","title":"A Correspondence Between Random Neural Networks and Statistical Field Theory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.06570","snapshot_observed_at":"2026-08-04T00:22:01.085503Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.085503Z"},"links":{"cited_paper":"/paper/1710.06570","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:1afc46a85fb260a1b12670801a2b4d7afe157dce2cca66edf1eed1d368d2d492","observation_id":"e504cc25-c8d2-4a51-9e99-5e71f140374b","resolution":{"observed_at":"2026-08-04T00:22:01.085503Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.02832","last_updated":"2018-10-31T17:53:12Z","snapshot_observed_at":"2026-07-06T04:55:42.008092Z","submitted_at":"2016-05-10T03:06:23Z","title":"Transport Analysis of Infinitely Deep Neural Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.02832","snapshot_observed_at":"2026-08-04T00:22:01.091037Z","title":"Sonoda and N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.091037Z"},"links":{"cited_paper":"/paper/1605.02832","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:4d352b2123e1f70b10562fdcd1ccd1c5b10b4a01a83f5a0e58ce1f34be960746","observation_id":"e11eea86-e812-4d6b-aca8-fcb69229f6cf","resolution":{"observed_at":"2026-08-04T00:22:01.091037Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11304","last_updated":"2019-09-25T06:29:20Z","snapshot_observed_at":"2026-08-09T13:32:24.420603Z","submitted_at":"2019-09-25T06:29:20Z","title":"Asymptotics of Wide Networks from Feynman Diagrams","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11304","snapshot_observed_at":"2026-08-04T00:22:01.095191Z","title":"Dyer and G","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.095191Z"},"links":{"cited_paper":"/paper/1909.11304","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:84771d636599e63a9c66dec987ff5dff2fb14f3902fdb2e465899fefd7f5b329","observation_id":"140f3834-ec1d-44c7-8095-48241241ff13","resolution":{"observed_at":"2026-08-04T00:22:01.095191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.00019","last_updated":"2020-08-26T22:50:38Z","snapshot_observed_at":"2026-07-06T08:25:52.812775Z","submitted_at":"2019-09-30T18:00:02Z","title":"Non-Gaussian processes and neural networks at finite widths","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.00019","snapshot_observed_at":"2026-08-04T00:22:01.099283Z","title":"Sho, Non-gaussian processes and neural networks at finite widths, arXiv:1910.00019 [stat.ML]","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.099283Z"},"links":{"cited_paper":"/paper/1910.00019","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:0d5acaff95af5c0d430deb64b214d48d11ec1a87167f9341943626b8b117b5e2","observation_id":"af57e32a-ad59-40f6-93ea-28ae43634a15","resolution":{"observed_at":"2026-08-04T00:22:01.099283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.07408","last_updated":"2017-08-18T17:43:30Z","snapshot_observed_at":"2026-08-09T13:50:56.887573Z","submitted_at":"2017-08-18T17:43:30Z","title":"Quantum fields as deep learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.07408","snapshot_observed_at":"2026-08-04T00:22:01.103200Z","title":"Lee, Quantum fields as deep learning, J","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.103200Z"},"links":{"cited_paper":"/paper/1708.07408","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:dfa02627826a1c17ed4fbf67c6a86b96adefedc69e693c727b1dd26a50ce77b3","observation_id":"46738e62-7a78-4138-8a98-3a3e0d7a18cf","resolution":{"observed_at":"2026-08-04T00:22:01.103200Z","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":"2026-08-04T00:22:01.107263Z","title":"Helias and D","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.107263Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:12f36b0cd6ac538ca98c5ef7bd23d8ee071990e33d5803628321f118becc628c","observation_id":"3ebc5587-cb46-4ca2-bb51-ebcf61e5b032","resolution":{"observed_at":"2026-08-04T00:22:01.107263Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.01403","last_updated":"2022-02-26T18:36:51Z","snapshot_observed_at":"2026-08-09T01:37:37.023165Z","submitted_at":"2021-08-03T10:36:04Z","title":"Nonperturbative renormalization for the neural network-QFT correspondence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.01403","snapshot_observed_at":"2026-08-04T00:22:01.111042Z","title":"Erbin, V","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.111042Z"},"links":{"cited_paper":"/paper/2108.01403","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:618a68d12a9cf49790b8290678a7774fbb66965bfd2b54ce19f6b89a65d48000","observation_id":"d9a58c88-33a9-4c18-870d-e5c75724fe14","resolution":{"observed_at":"2026-08-04T00:22:01.111042Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11811","last_updated":"2022-12-22T15:41:13Z","snapshot_observed_at":"2026-07-06T14:34:04.530399Z","submitted_at":"2022-12-22T15:41:13Z","title":"Renormalization in the neural network-quantum field theory correspondence","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.11811","snapshot_observed_at":"2026-08-04T00:22:01.115574Z","title":"Erbin, V","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.115574Z"},"links":{"cited_paper":"/paper/2212.11811","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:f09302622f2c1c09d8ae7053362aeac94aa86687f4598db914223d654a459e22","observation_id":"4c835095-9e4d-4419-9a4b-f20bb7d6e1fe","resolution":{"observed_at":"2026-08-04T00:22:01.115574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.04527","last_updated":"2021-12-08T19:05:36Z","snapshot_observed_at":"2026-08-10T00:28:30.811397Z","submitted_at":"2021-12-08T19:05:36Z","title":"Building Quantum Field Theories Out of Neurons","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.04527","snapshot_observed_at":"2026-08-04T00:22:01.119508Z","title":"Halverson, Building Quantum Field Theories Out of Neurons, arXiv:2112.04527 [hep-th]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.119508Z"},"links":{"cited_paper":"/paper/2112.04527","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:82a18d9f9bb42e97b4a8071f637b66b0c85717ac648d3c7c75ed756baf72a448","observation_id":"03b70583-cb36-419a-b7e2-da0127d417c2","resolution":{"observed_at":"2026-08-04T00:22:01.119508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.08601","last_updated":"2021-03-15T16:52:31Z","snapshot_observed_at":"2026-08-10T03:44:08.602332Z","submitted_at":"2020-08-19T18:00:06Z","title":"Neural Networks and Quantum Field Theory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.08601","snapshot_observed_at":"2026-08-04T00:22:01.123792Z","title":"Halverson, A","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.123792Z"},"links":{"cited_paper":"/paper/2008.08601","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:89ba806806bdef7456d4b12d113d36c3b9368dfe87a661dd78b9411e98ecb5df","observation_id":"ce6fb333-1fd1-447d-9a34-2495ec8004f6","resolution":{"observed_at":"2026-08-04T00:22:01.123792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04913","last_updated":"2021-03-08T17:24:29Z","snapshot_observed_at":"2026-08-04T05:18:04.057368Z","submitted_at":"2021-03-08T17:24:29Z","title":"The Hintons in your Neural Network: a Quantum Field Theory View of Deep Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.04913","snapshot_observed_at":"2026-08-04T00:22:01.127724Z","title":"Bondesan and M","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.127724Z"},"links":{"cited_paper":"/paper/2103.04913","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:a95787c0e7915b1880a0b8abc6f84dde7294b8cf0011f11ede0d07de8a490185","observation_id":"3470b045-ed6d-4c8c-a02c-ca4862780876","resolution":{"observed_at":"2026-08-04T00:22:01.127724Z","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":"2026-08-04T00:22:01.132128Z","title":"Segadlo, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.132128Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:b76fda19c287adad775502391c4aa3bde2e6d1b294c0cd07a2d611db470b5dab","observation_id":"66aaf5b2-6580-4195-8379-e209cc4544a2","resolution":{"observed_at":"2026-08-04T00:22:01.132128Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11104","last_updated":"2022-02-22T19:00:01Z","snapshot_observed_at":"2026-07-06T12:40:33.479618Z","submitted_at":"2022-02-22T19:00:01Z","title":"A duality connecting neural network and cosmological dynamics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.11104","snapshot_observed_at":"2026-08-04T00:22:01.136009Z","title":"Krippendorf and M","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.136009Z"},"links":{"cited_paper":"/paper/2202.11104","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:ac7f52d00ba22f44d15f2066f78333c640799fd79044e4010780bf2b2f1daeae","observation_id":"cd4638ed-fdd8-4afa-8e15-bff7618428aa","resolution":{"observed_at":"2026-08-04T00:22:01.136009Z","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":"2026-08-04T00:22:01.140497Z","title":"Cohen, O","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.140497Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:1599b72655160cc1fbab8defe60c16e56dccfdbc0d88556a211f77511a5f2d52","observation_id":"45797d74-8712-4da4-8914-d90c0b34847d","resolution":{"observed_at":"2026-08-04T00:22:01.140497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.00694","last_updated":"2021-06-01T18:00:06Z","snapshot_observed_at":"2026-07-06T11:14:57.172488Z","submitted_at":"2021-06-01T18:00:06Z","title":"Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.00694","snapshot_observed_at":"2026-08-04T00:22:01.144619Z","title":"Maiti, K","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.144619Z"},"links":{"cited_paper":"/paper/2106.00694","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:2a57aed3e42643c62629ac994aad4e5910676540a17b624f156239d4989e8a30","observation_id":"534100b3-e75f-4b8d-9e92-dfec37fe984f","resolution":{"observed_at":"2026-08-04T00:22:01.144619Z","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":"2026-08-04T00:22:01.149112Z","title":"Halverson, J","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.149112Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:d0253534f22c9edce2bac5d6e3f973b6420d6dd730d96338ad5e0af4cc663bdd","observation_id":"fc06bb3e-93cb-4d78-9f7d-41d02a3f60c6","resolution":{"observed_at":"2026-08-04T00:22:01.149112Z","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":"2026-08-04T00:22:01.153326Z","title":"Demirtas, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.153326Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:6fe15ea49474a80d3f9447c3b3d69cc5fdb73b9615aad56d04911b58451f302e","observation_id":"ae0a6101-0c72-4e64-8491-5ab12406bbec","resolution":{"observed_at":"2026-08-04T00:22:01.153326Z","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":"2026-08-04T00:22:01.158054Z","title":"Vanchurin, Emergent field theories from neural net- 6 works, arXiv:2411.08138 [hep-th]","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.158054Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:60852293471cf9171186a79c22053ca36ad820a7fe4d63e4a373fdadf532add8","observation_id":"31f2c2c6-c713-4bbc-a1ae-99d0f208df26","resolution":{"observed_at":"2026-08-04T00:22:01.158054Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17538","last_updated":"2025-02-05T20:07:55Z","snapshot_observed_at":"2026-08-03T19:10:06.084416Z","submitted_at":"2024-05-27T18:00:00Z","title":"Bayesian RG Flow in Neural Network Field Theories","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.17538","snapshot_observed_at":"2026-08-04T00:22:01.162183Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.162183Z"},"links":{"cited_paper":"/paper/2405.17538","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:b6450c8a6c58f8a7909f9c6e9f2b5e39e19d449ce3c52eb34e6ba64e11b6c2aa","observation_id":"9a6382b6-26bd-4e95-8e8a-f3a2235b3800","resolution":{"observed_at":"2026-08-04T00:22:01.162183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.18553","last_updated":"2025-04-17T07:48:20Z","snapshot_observed_at":"2026-08-07T17:49:24.745244Z","submitted_at":"2025-02-25T18:19:06Z","title":"Applications of Statistical Field Theory in Deep Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.18553","snapshot_observed_at":"2026-08-04T00:22:01.166987Z","title":"Ringel, N","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.166987Z"},"links":{"cited_paper":"/paper/2502.18553","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:1dd2e3ff02fd396c0bf22a36319fde5b4e2348d847cf68ae4de56f852e4f1fd5","observation_id":"4d17d07f-b42c-4c3b-9670-699ea166767a","resolution":{"observed_at":"2026-08-04T00:22:01.166987Z","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":"2026-08-04T00:22:01.171350Z","title":"Lee, H.-S","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.171350Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:7e57e08c772c66277527ddbd6248eceeb6ea1ab0bb647dd77d6dc4550cfaf101","observation_id":"6b4d7e67-2371-46e2-a7b6-c959922badfe","resolution":{"observed_at":"2026-08-04T00:22:01.171350Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1705.05750","last_updated":"2017-05-27T12:02:57Z","snapshot_observed_at":"2026-08-05T05:00:55.531744Z","submitted_at":"2017-05-16T14:57:22Z","title":"Holography as deep learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.05750","snapshot_observed_at":"2026-08-04T00:22:01.175759Z","title":"Gan and F.-W","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.175759Z"},"links":{"cited_paper":"/paper/1705.05750","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:948c416b8dd42d9de3c7aab0da2438e4e06f71e58a14f42d4918f692a041fa26","observation_id":"ed337937-7594-4dbb-bf55-591e2b69b8d5","resolution":{"observed_at":"2026-08-04T00:22:01.175759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08313","last_updated":"2018-02-22T21:59:20Z","snapshot_observed_at":"2026-08-10T09:05:09.489743Z","submitted_at":"2018-02-22T21:59:20Z","title":"Deep Learning and AdS/CFT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.08313","snapshot_observed_at":"2026-08-04T00:22:01.180069Z","title":"Hashimoto, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.180069Z"},"links":{"cited_paper":"/paper/1802.08313","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:9646dab2788575a2c96c29bac35e2894a4804be7f9f92f75c5127de1188033d8","observation_id":"7d07346a-043a-4e95-94da-376ea11b6882","resolution":{"observed_at":"2026-08-04T00:22:01.180069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.10536","last_updated":"2018-09-27T14:19:54Z","snapshot_observed_at":"2026-07-06T07:04:42.277266Z","submitted_at":"2018-09-27T14:19:54Z","title":"Deep Learning and Holographic QCD","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.10536","snapshot_observed_at":"2026-08-04T00:22:01.184752Z","title":"Hashimoto, S","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.184752Z"},"links":{"cited_paper":"/paper/1809.10536","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:163d6e101124217b1d9b11c65c87ac0bcd21277d8402056d02585a3f8352c95f","observation_id":"5d975f4b-80fe-42dd-931d-ccb6a1b6bb73","resolution":{"observed_at":"2026-08-04T00:22:01.184752Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.04951","last_updated":"2019-03-12T14:29:42Z","snapshot_observed_at":"2026-07-06T07:38:44.355773Z","submitted_at":"2019-03-12T14:29:42Z","title":"AdS/CFT as a deep Boltzmann machine","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.04951","snapshot_observed_at":"2026-08-04T00:22:01.189302Z","title":"Hashimoto, AdS/CFT correspondence as a deep Boltzmann machine, Phys","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.189302Z"},"links":{"cited_paper":"/paper/1903.04951","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:a9048b0821f00ab680da7f48ef90b4899f0f71b40eb91f3624d4bd430e068025","observation_id":"8c93d219-46e5-427e-8fef-f5b52acea47a","resolution":{"observed_at":"2026-08-04T00:22:01.189302Z","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":"2026-08-04T00:22:01.193994Z","title":"Parisi,Statistical Field Theory, Frontiers in Physics (Addison-Wesley, Redwood City, CA, 1988)","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.193994Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:a222aeb0285d27ebcfbdd97f4e442be5d2d4f125dd562e6af2e2450aafcf1a5b","observation_id":"95d28474-8ad5-4426-bfa1-6b679324440f","resolution":{"observed_at":"2026-08-04T00:22:01.193994Z","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":"2026-08-04T00:22:01.197975Z","title":null,"venue":null,"work_id":null,"year":1993},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.197975Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:3d27a3e1280b7581ef8e282f915dbbf8d11a52c79e06f9b56f408291c528ce96","observation_id":"0934df35-b795-4eea-b759-0611987543d6","resolution":{"observed_at":"2026-08-04T00:22:01.197975Z","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":"2026-08-04T00:22:01.202371Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.202371Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:73e77658e4ec8ccc6f4eeb016abbfb87e9a6fbe88e520e1a3b0368d57897f180","observation_id":"b152793a-086f-4cb8-8074-a50c666f6052","resolution":{"observed_at":"2026-08-04T00:22:01.202371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.05579","last_updated":"2024-11-18T12:01:29Z","snapshot_observed_at":"2026-08-09T07:25:28.054575Z","submitted_at":"2023-01-13T14:38:24Z","title":"A survey and taxonomy of loss functions in machine learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.05579","snapshot_observed_at":"2026-08-04T00:22:01.206440Z","title":"Ciampiconi, A","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.206440Z"},"links":{"cited_paper":"/paper/2301.05579","citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:a9d386c8af5f57aebb2553e599cbcd481b42c16313c04a342bb6ba9ab929d408","observation_id":"ad7ba85e-afe2-4a90-93fb-a0426d1181f3","resolution":{"observed_at":"2026-08-04T00:22:01.206440Z","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":"2026-08-04T00:22:01.211103Z","title":null,"venue":null,"work_id":null,"year":1950},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.211103Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:f2258d11c07270dcfebc14cb29a040d83616359cd3a411408fcf67dc9d72b914","observation_id":"c848a463-bb1d-4a9d-87b0-62a863966fb4","resolution":{"observed_at":"2026-08-04T00:22:01.211103Z","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":"2026-08-04T00:22:01.215204Z","title":null,"venue":null,"work_id":null,"year":1974},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.215204Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:bd0c10b41c92e97fc1fce3ea73a8ed3a6df0880c9a8b3648e56ca0c08f7d5245","observation_id":"aa8ab716-4689-4d28-b4b6-1c6a16607a9b","resolution":{"observed_at":"2026-08-04T00:22:01.215204Z","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":"2026-08-04T00:22:01.220014Z","title":"Aizenman and R","venue":null,"work_id":null,"year":1986},"citing_paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-04T00:22:01.220014Z"},"links":{"citing_paper":"/paper/2511.02003"},"observation_digest":"sha256:7b1e753e5aa930d6b06f237520ca6ccba765221c501ff71305ffc3736bc1959c","observation_id":"cfe18626-8c9f-4fef-83cb-152b573a5231","resolution":{"observed_at":"2026-08-04T00:22:01.220014Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2511.02003","last_updated":"2026-06-08T12:41:15Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T12:57:04.556939Z","submitted_at":"2025-11-03T19:18:20Z","title":"Bulk-boundary decomposition of neural networks"},"reference_resolution":{"displayed":54,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":54,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":54},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2511.02003."}