{"as_of":"2026-08-19T14:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c3dbb012d3d5d828903f8297fdc85c9406ae180f7ea21d3d46d0012569bde7ec","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T06:01:05.868129Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2506.06464/citation-record","integrity":"/paper/2506.06464/integrity","json":"/paper/2506.06464/citation-record.json","paper":"/paper/2506.06464"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:01:06.282000Z","title":", N}, fi(⃗u) ≤ fi(⃗v) (1)","venue":null,"work_id":"3b1daaf0-9954-40e5-93ff-7e40eec601e4","year":null},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.755146Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:a14cf7390751ea576386f1e1aa0174017afa073784b9bea6fceb24dad611e4d1","observation_id":"1a4ef3b5-da04-4de9-ae9c-c93823c02282","resolution":{"observed_at":"2026-08-07T06:01:06.285080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.272784Z","title":", N} : fj(⃗u) < fj(⃗v) (2) To apply this method to ML-based mass model selec- tion, each vector represents the predicted masses across the entire nuclear chart","venue":null,"work_id":"eb6c7d67-0746-4e77-915d-e12dee67c20d","year":null},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.758912Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:b1d0aee10ffb50d92559640301d089236372b20eb17bbaba09f220c62a40fc25","observation_id":"0e98ffb2-0cc4-4fb8-b639-a5c8be2e2f19","resolution":{"observed_at":"2026-08-07T06:01:06.276454Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.264062Z","title":"Aidala, A","venue":null,"work_id":"ddad7252-35ac-452d-b27e-d6a6504b8076","year":2023},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.763143Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:2f89aae66b71e32a5c3e3c8e172c1a3bcff9d74cd13da9a97ce9d95e35dc7ed5","observation_id":"9c2f01ed-0da9-4498-b440-9bfd0965e628","resolution":{"observed_at":"2026-08-07T06:01:06.267207Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.255408Z","title":"Madurga, R","venue":null,"work_id":"0f4c4b5f-2d33-468e-b247-4666280459d4","year":2012},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.767075Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:ddb877f8df08b03d2aefe2801476ed7d434fb8a8a41a060c13125f4b501f84be","observation_id":"8739136e-ad66-4ce3-be5f-9ad3cd473902","resolution":{"observed_at":"2026-08-07T06:01:06.258627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.246500Z","title":"Lorusso, S","venue":null,"work_id":"62e96779-4a7e-4e8e-9639-737cc5093070","year":2015},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.770702Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:26ac4990b9d1d54b65f3bb14bc730752ccfa12ad952baa4e243d0d8f2a54bfed","observation_id":"1680fc44-5597-4d54-9827-e3572170c76e","resolution":{"observed_at":"2026-08-07T06:01:06.249554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1512.05676","last_updated":"2015-12-17T17:20:59Z","snapshot_observed_at":"2026-08-18T14:55:19.815246Z","submitted_at":"2015-12-17T17:20:59Z","title":"Precision Mass Measurements of 129-131Cd and Their Impact on Stellar Nucleosynthesis via the Rapid Neutron Capture Process","version":1},"cited_work":{"arxiv_id":"1512.05676","doi":null,"metadata_source":"pith","pith_arxiv_id":"1512.05676","snapshot_observed_at":"2026-08-07T06:01:06.000915Z","title":"Precision Mass Measurements of 129-131Cd and Their Impact on Stellar Nucleosynthesis via the Rapid Neutron Capture Process","venue":"nucl-ex","work_id":"f5a91c05-9a09-4bbd-8c02-429d71ead1f8","year":2015},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.774487Z"},"links":{"cited_paper":"/paper/1512.05676","citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:57bd5a3e602e39cec42677167ac024bcbe5e0ae4934349497462bb1e58eab455","observation_id":"a1e1b954-7a23-4688-8ea5-fbe047ef3cc6","resolution":{"observed_at":"2026-08-07T06:01:06.004346Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.237775Z","title":"Vilen, J","venue":null,"work_id":"0ccea852-59f6-4576-89d4-df809e204e8a","year":2018},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.778429Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:cf3a7ba9db3a3598fa577ba2fe980157ece8249302a16e95b063ff51e119bd71","observation_id":"c057cc85-5b96-420d-a1a1-3ffa18073e72","resolution":{"observed_at":"2026-08-07T06:01:06.240836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.229310Z","title":"Lunney, J","venue":null,"work_id":"65ec2c6d-158d-468c-a34c-6272399628ae","year":2003},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.781631Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:7718db62062eb00edcbf6d83894956f19dd4ce1681acfb17340fd63bad39c913","observation_id":"266aa1e2-5ede-4da2-8695-bd5044f2c052","resolution":{"observed_at":"2026-08-07T06:01:06.232385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.220793Z","title":"Duflo and A","venue":null,"work_id":"a207a889-c917-44b9-8e4c-4bf6d2781066","year":1995},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.784951Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:fade40d728844bb15adc36df5340dde01520bff4ecb4ee1073f96031f2dd3d1a","observation_id":"78f38a25-6cf4-49a3-9349-bc938371369f","resolution":{"observed_at":"2026-08-07T06:01:06.223770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.212217Z","title":"Koura, T","venue":null,"work_id":"387a3ded-ec76-4e32-91a5-563320f78dca","year":2005},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.787926Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:189e2a960d3210fc62d89522637f0fa037600a7cc2dab623c09bc0bb7a07e18c","observation_id":"dca1ec2f-e112-4dd9-b13a-69b820ed0921","resolution":{"observed_at":"2026-08-07T06:01:06.215195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.204028Z","title":"M¨ oller, W","venue":null,"work_id":"3d17f101-0efa-46e1-ae16-18f54f3f0cf6","year":2012},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.791026Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:ec7a00bad2495d63b7024b24abe0a8d92381b5ccc26986f6c80212887fc8caae","observation_id":"b9c1b647-cfa8-4a9d-80b5-5d36250f0888","resolution":{"observed_at":"2026-08-07T06:01:06.206820Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.194946Z","title":"Goriely, N","venue":null,"work_id":"831beb88-bb39-4af9-abd1-a4fb502c5e8e","year":2016},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.794063Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:3549b496c5e02ccd73883101b5c73a999fca8aa2fab0778509931430c11b3330","observation_id":"2ffdf6f8-4b9d-4695-9e32-6dbabfda37b6","resolution":{"observed_at":"2026-08-07T06:01:06.198223Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.185665Z","title":null,"venue":null,"work_id":"0089a72b-2ed0-4c88-8327-836d42b5dab8","year":2020},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.797009Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:446a9eaf373616466ac691f513d84b020aba0051c097717f2e017b4f980e2869","observation_id":"68b10c87-d67f-46de-b050-d366ea6f0906","resolution":{"observed_at":"2026-08-07T06:01:06.189230Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.02445","last_updated":"2021-05-06T05:19:22Z","snapshot_observed_at":"2026-08-18T14:55:00.338864Z","submitted_at":"2021-05-06T05:19:22Z","title":"Machine learning the nuclear mass","version":1},"cited_work":{"arxiv_id":"2105.02445","doi":null,"metadata_source":"pith","pith_arxiv_id":"2105.02445","snapshot_observed_at":"2026-08-07T06:01:05.986573Z","title":"Machine learning the nuclear mass","venue":"nucl-th","work_id":"cba8839a-1482-48e0-9f90-e7ddee8f275c","year":2021},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.800371Z"},"links":{"cited_paper":"/paper/2105.02445","citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:cd045d8efc80f38409ab17c78c991d8ef3aa99c406bbaba33b104cc7a53bf3b0","observation_id":"fb5a69a9-ad34-4ee0-9fe6-f6efb812c897","resolution":{"observed_at":"2026-08-07T06:01:05.991139Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.176401Z","title":null,"venue":null,"work_id":"d95ab4a7-bf97-4dab-8315-0d5697095a97","year":2022},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.803762Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:cc6775ff7969a6e514fa3c272f917a695e4bdb591c97b4c62fa4a7c92c1816db","observation_id":"e949a1a1-7893-45d8-b8d0-c99b140dd629","resolution":{"observed_at":"2026-08-07T06:01:06.179605Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2023.11985","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T06:01:05.968647Z","title":"Mumpower, M","venue":null,"work_id":"31fa4ebe-4faf-43ef-b104-f27c785c1649","year":2023},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.806763Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:ca84e678e78d4d7e07659e37311bcf974fbf84577a3d8ad9f0d4e9bf9bf36707","observation_id":"779ed596-ede4-4e6e-9ef3-08436e124738","resolution":{"observed_at":"2026-08-07T06:01:05.974669Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.167321Z","title":"Y¨ uksel, D","venue":null,"work_id":"701bbeff-704c-4415-a384-dfe2c7328ec0","year":2024},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.809618Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:ea2aa6fa65b5f79f776a514c2815fdb5419be06d5cf27bee8a6aecbcb6d6460f","observation_id":"f2572651-17d7-4eaf-92f9-a3813854c6f9","resolution":{"observed_at":"2026-08-07T06:01:06.170480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.149961Z","title":null,"venue":null,"work_id":"714055fc-c705-485b-afe8-e55361b4e713","year":2024},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.815553Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:b8796eeb3ab795e4365dc8809612877f716d4973b825fa95768bec67eaba064b","observation_id":"c79c22da-62ce-4690-8b81-bf2ab1c9ead3","resolution":{"observed_at":"2026-08-07T06:01:06.152964Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.141112Z","title":"Ngatchou, A","venue":null,"work_id":"a452faf3-4188-4edd-a5ee-e71dabe33d2f","year":2005},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.818484Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:2d00c57e9af5ecc4dd0ff641c4e198ea21a46a64e5d5048307cac2520eca887e","observation_id":"c3068302-7e95-47fd-97bf-2f8dbd551620","resolution":{"observed_at":"2026-08-07T06:01:06.144141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.132204Z","title":"Bishop, Mixture density networks, WorkingPaper (As- ton University, 1994)","venue":null,"work_id":"62e6199a-72bd-499f-95f5-b4ccb181c20f","year":1994},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.821499Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:b53d845ed6a83757875ef913cbd7256ae222839c4f88c5a249150d81327854f1","observation_id":"00ea01be-5091-44df-abbe-41cb3ca698c3","resolution":{"observed_at":"2026-08-07T06:01:06.135529Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.123012Z","title":null,"venue":null,"work_id":"4f4d030d-f14f-4248-8bdf-c1aaf94f1dc0","year":2017},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.824593Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:5a9d241695b2628f15ef31bcdaa5727c28a5a4bb06f2e761999f8946c1299c60","observation_id":"47443705-0666-4600-b6fd-3f25148f310c","resolution":{"observed_at":"2026-08-07T06:01:06.126189Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.114149Z","title":"Vassh, G","venue":null,"work_id":"538d1a33-32bc-4c29-9e14-9d66da68bcda","year":2021},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.827539Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:a1b0512ea6c52c24cc9a3e99faac0ad5fea4bdba6661f92f699dea1de5740736","observation_id":"bb443b87-2185-4ed3-a1d3-1bf3bd36f386","resolution":{"observed_at":"2026-08-07T06:01:06.117356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.104946Z","title":"Kajino, W","venue":null,"work_id":"d7468ba4-13d1-4692-915e-a90d66305d9f","year":2019},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.830489Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:593dee13bba787d7642cc9b393a4d3ae4bbed5f4dffbb4d8b706dbe8b587d7a7","observation_id":"a6422c6f-1ea7-4ce6-b254-41e16c6d9688","resolution":{"observed_at":"2026-08-07T06:01:06.107863Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.095827Z","title":"Li and B","venue":null,"work_id":"1a42c77b-443d-4900-b154-b905cabc0893","year":2022},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.833461Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:6a43d1d049a437dd27f68f15fd90cafca7a394f966c174ffa8c3601128726efb","observation_id":"f02a0b3e-e4c2-4306-8883-df791ba47609","resolution":{"observed_at":"2026-08-07T06:01:06.098889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.087130Z","title":null,"venue":null,"work_id":"52cef3d0-8637-48ba-ae9b-f8c1b9bf5494","year":2018},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.836307Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:ef65c226e48f17a1fafaffa6dc87e4c8e5b62c66bff9b4aafab156160a0e9b9e","observation_id":"54703d05-3f7a-45d3-8b22-aac8896094be","resolution":{"observed_at":"2026-08-07T06:01:06.090132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.078135Z","title":null,"venue":null,"work_id":"f58ed6ca-09a6-4f5d-9781-abcb6741b827","year":2016},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.839425Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:050f7a777d7969036c2b579d4dac9d8eb5fdc709e0d19b5442cd41f8e893e7d9","observation_id":"f77e21fb-f177-4a2d-b73c-44a7553674c0","resolution":{"observed_at":"2026-08-07T06:01:06.081256Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.067394Z","title":"M¨ oller, M","venue":null,"work_id":"1b665b92-606f-4589-9e50-de2168d9f6bd","year":2019},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.842495Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:585a5ccb4f6b8353a47f527c79b897409a3343fe5b0317cc4a0b765238fb868d","observation_id":"cf335aaf-38d7-43a5-a9a0-f463a363d3c5","resolution":{"observed_at":"2026-08-07T06:01:06.070506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.058202Z","title":"Kawano, R","venue":null,"work_id":"6253ef48-a23f-4751-879e-d022a37cfbf5","year":2016},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.845645Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:42317dbd3e50635e0d9ecefc2ed0006cead1410a16ba44ba8750db761214da7f","observation_id":"b7b12a17-79bf-4bea-97f8-83e8dbf0b0a0","resolution":{"observed_at":"2026-08-07T06:01:06.061594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.049007Z","title":"Vassh, M","venue":null,"work_id":"d2d536c3-a587-4c5e-9f96-ec09e5040871","year":2020},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.848822Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:4be43cf1c53135a19d27afb918bb94d50de2eda07667c5f71e539870abd97bbc","observation_id":"936b0d65-134e-4502-995a-7db20caf17d3","resolution":{"observed_at":"2026-08-07T06:01:06.052261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.158638Z","title":null,"venue":null,"work_id":"5c776c0e-41e6-455d-b382-31c9b9e14dd6","year":2021},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.851989Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:58606caffc3aa343cad1f37bbf0f89b7f1428765bdb6f713540c219404c2f494","observation_id":"302a6594-e7d9-46f9-9da8-18edfc18d708","resolution":{"observed_at":"2026-08-07T06:01:06.161719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.039441Z","title":null,"venue":null,"work_id":"f30d7214-ef6b-4822-9987-741b5dea7e40","year":1997},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.855036Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:31fd44318b17c76bfdad7c14b7df51c7912e48dfae91b8075b4c75c48440ff16","observation_id":"ab1b6582-d28e-4685-a1c4-66a4b436c373","resolution":{"observed_at":"2026-08-07T06:01:06.042694Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.029702Z","title":null,"venue":null,"work_id":"390ac68d-b2f9-458c-b02f-ba1d4e51c36c","year":2022},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.858185Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:9f5841d7411b4b65880482fea5630ba88e747a65229ccceab73183d0cb5faeb8","observation_id":"8cc965da-acdc-4855-b60e-2ee2a8dd0c76","resolution":{"observed_at":"2026-08-07T06:01:06.032919Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.09724","last_updated":"2018-06-25T23:10:10Z","snapshot_observed_at":"2026-08-14T18:59:21.851512Z","submitted_at":"2018-06-25T23:10:10Z","title":"Californium-254 and kilonova light curves","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.09724","snapshot_observed_at":"2026-08-07T06:01:05.861230Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.861230Z"},"links":{"cited_paper":"/paper/1806.09724","citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:3b3086f607ae4c46e9de1d862956ca082c9b2686517eb65f2933b3a831d76fbb","observation_id":"ebad2060-bc98-4a41-a2bb-5c84766d6125","resolution":{"observed_at":"2026-08-07T06:01:05.861230Z","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":"2026-08-07T06:01:06.020485Z","title":null,"venue":null,"work_id":"1dbfea9c-5970-46f3-9b76-2a41b451d599","year":2015},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.864957Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:cb972ddd954512f49d3837b5acc2ad03558e60aaa7e42d8a2f881444257ca764","observation_id":"a123f4fe-16ce-4e18-9261-e7a2df7ffcc4","resolution":{"observed_at":"2026-08-07T06:01:06.023622Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-07T06:01:06.010830Z","title":null,"venue":null,"work_id":"5b9ea088-e421-4bfc-9f77-c01d6145360f","year":null},"citing_paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T06:01:05.868129Z"},"links":{"citing_paper":"/paper/2506.06464"},"observation_digest":"sha256:b6242ee4c432488b207aef3546dcce629313657dfdaa505de3916b836d87f660","observation_id":"7a0dfdbb-497b-4561-a70d-d55d5d3a88fe","resolution":{"observed_at":"2026-08-07T06:01:06.014116Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06464","last_updated":"2025-06-06T18:37:56Z","latest_version":1,"primary_category":"astro-ph.SR","snapshot_observed_at":"2026-08-19T08:16:16.874092Z","submitted_at":"2025-06-06T18:37:56Z","title":"Constraining Nuclear Mass Models Using r-process Observables with Multi-objective Optimization"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":20},"total_outbound_references":35},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.06464."}