{"as_of":"2026-08-15T19:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d4c11d14a9614b2b55cff6e942a78b5a4c5eeeb555a4b9e4a3194dea5eb004cd","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-07T15:48:17.246542Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2605.03415/citation-record","integrity":"/paper/2605.03415/integrity","json":"/paper/2605.03415/citation-record.json","paper":"/paper/2605.03415"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.02894","last_updated":"2025-09-02T23:39:53Z","snapshot_observed_at":"2026-08-09T10:37:12.883014Z","submitted_at":"2025-09-02T23:39:53Z","title":"A proximal augmented Lagrangian method for nonconvex optimization with equality and inequality constraints","version":1},"cited_work":{"arxiv_id":"2509.02894","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2509.02894","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f9c7c6a5-f886-481a-921c-1256e6ab5af1","year":2025},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"cited_paper":"/paper/2509.02894","citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:0f5ad3c9be2d01f2ca58e36d719ffa6454fee3617f8681968251ed291aedddb4","observation_id":"38959ceb-cff4-46d8-ae77-4f8cb9d8ed9b","resolution":{"observed_at":"2026-05-12T10:51:31.684924Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b7bcbe66-8ace-4f1e-81f2-d20f65eae98e","year":2017},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:1048787df437c9d7caead6e40211c7dda7f523a468dafb3af440676b5bb35d1d","observation_id":"ab7e0d88-de2d-46e9-92db-e915be76f4ea","resolution":{"observed_at":"2026-05-27T11:39:01.080668Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Bertsekas,Constrained Optimization and Lagrange Multiplier Methods, Academic Press, New York","venue":null,"work_id":"57f9aa39-a7b1-4f85-8417-3a5ad413dbe4","year":1982},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:35dd061764e4a3eb15df89b18b23c682b48ed56b2f64de560186cd11c1d644de","observation_id":"864ca222-9e24-40ac-aeb2-01b194977e47","resolution":{"observed_at":"2026-05-27T11:39:01.077010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Curtis, Michael J","venue":null,"work_id":"32b2d02c-0bfd-4c8e-bdc2-349b5d3fa67a","year":2024},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:d81749c584fa467c308f83668e73076dbaf796ae1dab67dfd14e73d18d895a94","observation_id":"6617af76-5781-474f-bb61-8f2c6727d825","resolution":{"observed_at":"2026-05-27T11:39:01.087152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s12532-025-00302-1","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":null,"venue":"Mathematical Programming Computation","work_id":"d7d2d777-ac7d-4f65-9458-1523ebcfd393","year":null},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:3f4f2863511476d6e630487409ed1df8c5267982b092def7e85034cda9f57e94","observation_id":"ecc8518d-41c5-4d27-be37-553c2ab489e4","resolution":{"observed_at":"2026-05-09T05:30:17.087135Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fbd20a9f-4425-4e50-8ba5-ca2fcefe000d","year":2021},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:cfc6e87628b7843b653f7602d6571fc60c431316999bef2b3b7359093cc485bd","observation_id":"0af351e8-7d00-4d82-9955-039822f8c907","resolution":{"observed_at":"2026-05-27T11:39:01.066364Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"17, 2004, pp","venue":null,"work_id":"8be18184-0671-42c0-be30-915967cc66f0","year":2003},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:6a4bcb414cd3393a7ada4944a12851d10d1802f8e8c92be7e87fecb3b7819ca7","observation_id":"752d12d6-7dd9-4a4d-b514-5b50e6534437","resolution":{"observed_at":"2026-05-27T11:39:01.049597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Hajinezhad and M","venue":null,"work_id":"863fd51f-7c1c-42c1-b32c-a43c6cbfc6b2","year":2019},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:5fb429714f797e1c5b8e82046ef5bd907781c4cd58c4e7eb1491b1e74a615131","observation_id":"b0594549-c825-43d8-a4d6-8712ee71f9ad","resolution":{"observed_at":"2026-05-27T11:39:01.059824Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"310de1bf-e711-44b2-9077-70d3c752dc24","year":1969},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:7daca0d105975adc63b187b6ef60c4454144a8d3544a5cb9366cd32f9146d05b","observation_id":"9dc5666b-4df0-486c-ac85-5bf413f7fc6f","resolution":{"observed_at":"2026-05-27T11:39:01.070090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"561b52d1-bc5e-4cf8-b0f2-7c082bb74601","year":2017},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:4b6cad4c4ef7daf9368814706e896a07ec6676d4185832b9503b4b2abd60b1bf","observation_id":"e2c1dc11-ad87-4ecb-b91d-cd3798629819","resolution":{"observed_at":"2026-05-27T11:39:01.084013Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Burges, The MNIST Database of Handwritten Digits, 2010.http://yann.lecun.com/exdb/mnist/","venue":null,"work_id":"56b4c0fe-a3fc-4b4a-85e9-d923cd07a4ce","year":2010},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:304b2d4c61b926c314fee5cd69e4605871c0ce1b45f83c8bad2b75798155e54e","observation_id":"269cf992-7f7f-409a-815f-717921b458fd","resolution":{"observed_at":"2026-05-27T11:39:01.045987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Powell,A method for nonlinear constraints in minimization problems, In R","venue":null,"work_id":"257918b4-a876-44cb-a502-70fbf17baab8","year":1969},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:8a6534e1c360464604417ebb94d7a7528107997a62b9267d847390e9a4bc723d","observation_id":"71189f88-c31e-48b4-822b-4e4e1b140147","resolution":{"observed_at":"2026-05-27T11:39:01.090565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Tyrrell Rockafellar,Convex Analysis, Princeton University Press","venue":null,"work_id":"18ffe614-f3d2-471e-af6c-ec05ab8dd083","year":1970},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:6f8af7b10e639f840efe4c91f1e09435fc66487c8b72ebafcf554cd979e8e74e","observation_id":"9623055b-12c8-4071-a4a6-7decbb6a1b3a","resolution":{"observed_at":"2026-05-27T11:39:01.063003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"65aa0d70-dd2a-4325-a1e6-74b6b6eee039","year":1998},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:a99a58551c5c27c3530ff86b885970471334206abfaa64a31a10fc59fa982ea5","observation_id":"405463f2-efe5-4831-be89-f56406a7a0d0","resolution":{"observed_at":"2026-05-27T11:39:01.056602Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-07T08:43:28.852235Z","title":null,"venue":null,"work_id":"7b5e833c-221d-45d6-b5f8-9801431e4f5c","year":2008},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:3d98741a2b9f01e6d66edbe6181592da1e3333eeadc0cbfa64ceae131f7b88a2","observation_id":"862e1ef9-0e55-4139-845f-c766e9cc26d9","resolution":{"observed_at":"2026-05-27T11:39:01.041877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10915-021-01409-y","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Xie and S","venue":"Journal of Scientific Computing","work_id":"6a7deeb2-078d-4ebe-8de7-b413dac8b6d3","year":2021},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:432ddbcd9cacb016a65a699220ebea80a4fb765f8ad5fddb893b57410104206e","observation_id":"ee444f09-b9fa-4d34-bd71-0a47fada5b7b","resolution":{"observed_at":"2026-05-09T05:30:17.090333Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Wang and Y .X","venue":null,"work_id":"d1cbb4ef-b369-40b3-809b-84868cd7e4b1","year":2015},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:dca9dd07c500f07c5f25e4218448dc04243131159158936015090260ae368f61","observation_id":"85636c20-f14f-4a20-8d71-e0db19d4ab8f","resolution":{"observed_at":"2026-05-27T11:39:01.073372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":"Wang and H","venue":null,"work_id":"76b3f0ff-775d-49f7-a33a-388de3d252bb","year":2015},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:7efbd36637a84ab797090dd11256ddb7f457fcfaadc5457738578166017574ca","observation_id":"9c305bd5-21a5-48c2-8ec7-b3c1ebe371ea","resolution":{"observed_at":"2026-05-27T11:39:01.093469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"dd6f43af-89e4-4193-8e63-34fa34801e07","year":2023},"citing_paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-07T15:48:17.246542Z"},"links":{"citing_paper":"/paper/2605.03415"},"observation_digest":"sha256:1887baae8db64a881662128477f3eaeaff75294185ea39fa0d3576fce255fe88","observation_id":"503558d5-2ead-4081-a0e4-8fb7c653c324","resolution":{"observed_at":"2026-05-27T11:39:01.053196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.03415","last_updated":"2026-05-05T06:41:23Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-07-06T23:16:20.322265Z","submitted_at":"2026-05-05T06:41:23Z","title":"A Proximal Augmented Lagrangian Method Based on Quadratic Approximations for Weakly Convex Optimization"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":3,"verified_fuzzy":9},"total_outbound_references":19},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2605.03415."}