{"as_of":"2026-08-11T08:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7005f045533b9a5eed5d93b46f7951902ac5c6fd30e9076330d599aa0993ebce","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:59:15.555267Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2505.20473/citation-record","integrity":"/paper/2505.20473/integrity","json":"/paper/2505.20473/citation-record.json","paper":"/paper/2505.20473"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:59:15.933311Z","title":"ACM transactions on graphics (TOG) 41, 4 (2022), 1–15","venue":null,"work_id":"08d2358b-7882-4a28-a0ab-482a9b296e9a","year":2022},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.430847Z"},"links":{"citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:846aced1a42e0eeb921635796fe247659462ca34c7f2af2365ee5f47a7222560","observation_id":"c1d09bae-ceb3-4ff5-8388-85c6d6175807","resolution":{"observed_at":"2026-08-07T13:59:15.996051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T13:59:15.357310Z","title":"SIGGRAPH Comput","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":1987,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.357310Z"},"links":{"citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:08e2a6052a5d858efdbd6349fe00460ad4aba1728f50fd8f8f5723ed0867af26","observation_id":"a44b5cbf-6310-4e7d-86f8-6ef1249e4a18","resolution":{"observed_at":"2026-08-07T13:59:15.357310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-07T13:59:15.245850Z","title":"arXiv preprint arXiv:1412.6980 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.245850Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:f7ab12da259312200d1e2ea9b0c0a8743f04aed9fa2c49444d69800e24cc8e89","observation_id":"7826b9d2-63af-4947-a78c-c179063fd03f","resolution":{"observed_at":"2026-08-07T13:59:15.245850Z","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":"2026-08-07T13:59:16.058978Z","title":"ACM Transactions on Graphics (ToG) 36, 4 (2017), 1–13","venue":null,"work_id":"ce5d733f-eeb1-458a-af8a-eb9c3bd082e0","year":2017},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.292744Z"},"links":{"citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:590e70b2d668fb5575c678debb61c68d7635c34137f15ccbbea82f49f07c21e4","observation_id":"c3f5b816-ec9f-4e22-93f2-63a15b441fab","resolution":{"observed_at":"2026-08-07T13:59:16.119379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T13:59:15.825601Z","title":"Advances in neural information processing systems 33 (2020), 7462–7473","venue":null,"work_id":"1367ddc8-5f2b-47e3-9d7e-60f012e20d4c","year":2020},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.482178Z"},"links":{"citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:6bd6a7aa836ff3a029ea8935c4201149182bca628f9bf57907eb1d5b43a62ae1","observation_id":"48d5b364-c322-49f2-959c-3c87fa5d52af","resolution":{"observed_at":"2026-08-07T13:59:15.870129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.10689","last_updated":"2023-02-01T06:00:21Z","snapshot_observed_at":"2026-08-02T09:26:48.635481Z","submitted_at":"2021-06-20T12:59:42Z","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.10689","snapshot_observed_at":"2026-08-07T13:59:15.555267Z","title":"arXiv preprint arXiv:2106.10689 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.555267Z"},"links":{"cited_paper":"/paper/2106.10689","citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:866b428450ccee2c17f9e53f0208e14cce5a98acba46fefbfbe013946c44c29e","observation_id":"3bf57ed9-c1e8-49c2-a043-5af5e6963417","resolution":{"observed_at":"2026-08-07T13:59:15.555267Z","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":"2026-08-07T13:59:16.171370Z","title":"In ACM SIGGRAPH 2022 conference proceedings","venue":null,"work_id":"11065210-beb5-4023-ac33-cac08558ae08","year":2022},"citing_paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:15.173578Z"},"links":{"citing_paper":"/paper/2505.20473"},"observation_digest":"sha256:9d124082791eb2c10515a35639f7f8b1c4e2e184a54302089551d9c350f1593a","observation_id":"5f1d5ad8-c351-4997-a5c8-675a26a94a04","resolution":{"observed_at":"2026-08-07T13:59:16.239458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20473","last_updated":"2025-05-26T19:13:41Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-10T18:14:28.693404Z","submitted_at":"2025-05-26T19:13:41Z","title":"Stochastic Preconditioning for Neural Field Optimization"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":7},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2505.20473."}