{"as_of":"2026-08-08T00:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f29bac01accbdc98cc0be94bc7e199df292fde0d1bafbe23bf244eae20501f8b","coverage":[{"denominator":37,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":37,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:46:12.602717Z","state":"measured"},{"denominator":37,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":37,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2506.04446/citation-record","integrity":"/paper/2506.04446/integrity","json":"/paper/2506.04446/citation-record.json","paper":"/paper/2506.04446"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T10:46:13.146959Z","title":"Better click quality on display ads improves the user and advertiser experience, 2015","venue":null,"work_id":"b168377a-10a0-44b1-8982-072fe5fc2f31","year":2015},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.431998Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:968d55d225d2556b33f05cc49ba74b3c6bc8da8814ee72d3ed5e0a98e845fdd9","observation_id":"4a85ec15-4004-470f-9bd9-1e265a149d14","resolution":{"observed_at":"2026-08-07T10:46:13.151460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.133178Z","title":"Robust bi-tempered logistic loss based on bregman divergences","venue":null,"work_id":"76688b89-8c82-4342-8982-60c57866ad44","year":2019},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.437043Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:aca980406d76028f37a83ce880b14d02a978e0aec923d44fd5997cc0bce61a08","observation_id":"7d394a67-a6f0-4f1d-aa19-e2829c3f7c7a","resolution":{"observed_at":"2026-08-07T10:46:13.137527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.119043Z","title":"Locoprop: Enhancing backprop via local loss optimization","venue":null,"work_id":"8130defb-1aa0-45dd-b1a6-1ee11d61cb79","year":2022},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.441792Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:0295046e05909b174b92bc069dbb2ba7dac4e2828afbae79b38f393d47c49643","observation_id":"78ab06ac-4e90-44c7-9d1b-e80082475965","resolution":{"observed_at":"2026-08-07T10:46:13.123572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.102895Z","title":"Exponentially many local minima for single neurons","venue":null,"work_id":"253c6922-b5fd-4364-8164-b83065b8a581","year":1995},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.447784Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:ed07b7785b7872aea69dc29fc6283c92d611402b78c1eb77279c345cd412433f","observation_id":"8ea47b3a-e429-41f7-8eb6-7f9c40b46cc2","resolution":{"observed_at":"2026-08-07T10:46:13.108152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.086570Z","title":"Improving post-click user engagement on native ads via survival analysis","venue":null,"work_id":"60760e52-d81d-43ae-958b-90bc98a8b00b","year":2016},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.453049Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:b342a1e6f3028a26bb17b75c0d15a34946b5d65b30515e2a7af495867c98b914","observation_id":"9cc172ea-0d32-4070-a66d-22ac394b92c9","resolution":{"observed_at":"2026-08-07T10:46:13.091568Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.071768Z","title":"Asymmetric loss functions for forecasting in criminal justice settings","venue":null,"work_id":"ade87879-d413-4c12-9dd4-3477ddb7ad90","year":2011},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.458816Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:f8adc6bee354b01671b90a7eda0a56f97276c6ae152c553f8182f74dc60279f9","observation_id":"710d1abb-f15e-4690-b785-04a47fcf347b","resolution":{"observed_at":"2026-08-07T10:46:13.076670Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.057477Z","title":"Convex Optimization","venue":null,"work_id":"d547a148-8257-46fb-9c4d-8fedff9b97ca","year":2004},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.464138Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:244e7a85a4153253676a301fbff850cce900af738258337324898a9528c8d70f","observation_id":"a39318e1-91dd-46c4-8d85-f74a30463063","resolution":{"observed_at":"2026-08-07T10:46:13.062017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.043365Z","title":null,"venue":null,"work_id":"71bcde20-5be4-4f87-b9f5-f0578f20b896","year":1967},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.468522Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:51d3512910eee95ccd10ebbcaff46ea4b57e58f3aea480bfb9f3e8097376141d","observation_id":"4dabb64c-35c8-4c88-a95c-09aac075e36a","resolution":{"observed_at":"2026-08-07T10:46:13.047735Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:13.028928Z","title":"Loss functions for binary class probability estimation and classification: Structure and applications","venue":null,"work_id":"81975b51-243e-4f8e-b4db-3bf973db0c65","year":2005},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.472854Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:ee385a55ca26e1c47a0bd3549de6db2cf0350323f6805a62f43afd1ec50bb5a4","observation_id":"0254a56e-12a7-43f4-b620-f65fc8ccee35","resolution":{"observed_at":"2026-08-07T10:46:13.033331Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.477964Z","title":"Learning to rank using gradient descent","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.477964Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:3df7582ac5fc9dae07ecff017f945b16b341e90ec33d4f99eef7796b872c0585","observation_id":"3ccfb1b3-24aa-4bb2-a422-f926fd788d38","resolution":{"observed_at":"2026-08-07T10:46:12.477964Z","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":"2026-08-07T10:46:12.483540Z","title":"From ranknet to lambdarank to lambdamart: An overview","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.483540Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:d0dd2e9619100d3ab0edfc2851f92be86c7db95361d32059ca3010e95a021f76","observation_id":"8754c598-08ac-4172-97de-bb098368189d","resolution":{"observed_at":"2026-08-07T10:46:12.483540Z","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":"2026-08-07T10:46:12.996227Z","title":"Learning to rank: from pairwise approach to listwise approach","venue":null,"work_id":"ca55cace-227d-48a8-9d89-35cf3cb065ed","year":2007},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.488202Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:4d0cf44d85724d4aca3025da8e528d5e325b14627d26c5a44958f25894a6601d","observation_id":"d9455423-70ce-45fb-a389-2ee4bfcefe9d","resolution":{"observed_at":"2026-08-07T10:46:13.000681Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.982175Z","title":"An iterative row-action method for interval convex programming","venue":null,"work_id":"4580a030-5bce-4849-b025-be9e81faf7ac","year":1981},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.492649Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:3926c39c92e9622c9e5aa4e8d553073be2482d6ebea9715d5e7339d1ad44cf02","observation_id":"e5bddbe8-ce7a-4d1b-9c3b-1becd15512d1","resolution":{"observed_at":"2026-08-07T10:46:12.986643Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.966787Z","title":"Online learning to rank with top-k feedback","venue":null,"work_id":"6bf4b553-da33-4a8e-a34f-763721651a8c","year":2017},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.497519Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:f02674d72009f172238dbddadde4522231d6387a62cd3faac6072eab745ee8b9","observation_id":"b9097a15-3bd0-4cbd-9776-ac7c8b4d0b4d","resolution":{"observed_at":"2026-08-07T10:46:12.971998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.951698Z","title":"Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei","venue":null,"work_id":"83f1b51a-1ac0-4ede-9c52-cbdd0bc272e0","year":2017},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.502386Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:51523ab43f6c2d675a5b61df56e07ca9a4720b891d8e7ec82c194ee415f66efd","observation_id":"9e8cc40a-3c00-4c9a-959a-6a8cbd9e741e","resolution":{"observed_at":"2026-08-07T10:46:12.956244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.937683Z","title":"Support-vector networks","venue":null,"work_id":"90f2a8cf-f9dc-45c1-a193-5af5d20c4f16","year":1995},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.506788Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:ac049e441027fc04b5b1e8c6a1e3f81a75cc3bb72edc9c200615cec41ae6b155","observation_id":"1c990f0e-6a34-4d6f-9326-a1b5a034f545","resolution":{"observed_at":"2026-08-07T10:46:12.942146Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.923338Z","title":"Kl divergence for machine learning","venue":null,"work_id":"77f4a4d5-bfb5-4f12-822e-3c2217a17038","year":2023},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.511044Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:121c818aa7edaf4ba626f55ed8eed97a641284da7afad6bc63a0370fce56acbf","observation_id":"4135c549-e201-4b2d-b351-c1a4ef68ff8c","resolution":{"observed_at":"2026-08-07T10:46:12.927739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.908751Z","title":"Worst-case loss bounds for single neurons","venue":null,"work_id":"575ae8b8-3125-4aa4-a66d-8aa7e943f35a","year":1995},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.515667Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:c0b8770be90ec799bf9f723418f76663b36dd21a733c967c82e246a459438020","observation_id":"13a44e58-99d6-4493-96c4-237a120e94ed","resolution":{"observed_at":"2026-08-07T10:46:12.913210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-07T10:46:12.520236Z","title":"Distilling the knowledge in a neural network","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.520236Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:c52b2e14e1614034868be62f5e5c51261d9179862335befd297068f87217a99b","observation_id":"8bfefac5-cf31-4359-bac1-70ab35b64031","resolution":{"observed_at":"2026-08-07T10:46:12.520236Z","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":"2026-08-07T10:46:12.893540Z","title":"Nonlinear Asymmetric Loss with Spectral Decomposition for Glucose Prediction","venue":null,"work_id":"50442a2a-270a-411d-958b-808e8f6a567f","year":2010},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.525448Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:cb082a4ae2433bd9ff94b81acc8704c20de37bceac3ab22ee1313ee200c25db7","observation_id":"9abf645c-e04a-4ff1-b513-674ab7716a82","resolution":{"observed_at":"2026-08-07T10:46:12.898565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.529899Z","title":"Robust estimation of a location parameter","venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.529899Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:1d70cfb6c3a0054a87ec3267c57151a35441157090927f9c567d144fee811945","observation_id":"115a72a3-d135-4b06-9b2d-93f01bd3420a","resolution":{"observed_at":"2026-08-07T10:46:12.529899Z","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":"2026-08-07T10:46:12.534110Z","title":"a rvelin and Jaana Kek \\","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.534110Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:8231d78bb39e020b3e9ad92a0be6494dea119ea1f8cfe29590bb6badea40fa4b","observation_id":"2ea884df-20e6-4973-981a-508b0707d60a","resolution":{"observed_at":"2026-08-07T10:46:12.534110Z","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":"2026-08-07T10:46:12.858834Z","title":"Relative loss bounds for multidimensional regression problems","venue":null,"work_id":"f6fe3a8c-d774-487b-91bb-fa5141ff92a3","year":1997},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.538289Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:7f7f61edd1943614d0e0f327b07b978777f6301f3cc4cee2944d733f9513a853","observation_id":"9314f4f0-261d-4878-a4dd-7e2f2a7f01c6","resolution":{"observed_at":"2026-08-07T10:46:12.864358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.843174Z","title":"Learning to rank for information retrieval","venue":null,"work_id":"b8c447d0-f5bb-44fc-8415-8d87593b1902","year":2009},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.542536Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:8589fa8735fd66f57ca31b19e04be1c7aa35fd6bf5a444a76412cc757e6333b6","observation_id":"de7efc3d-f8e2-4c8e-98c1-937e289b6a76","resolution":{"observed_at":"2026-08-07T10:46:12.848329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.827897Z","title":"Learning to rank for information retrieval","venue":null,"work_id":"669d37d5-b365-425c-9147-e2c40889e099","year":2011},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.546963Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:695d82f6e84a5f669be49e987cfc39c2bf5d0bb786eeaf722fb6150936a290b0","observation_id":"7b305ce6-e171-4fa9-967d-012faec97a96","resolution":{"observed_at":"2026-08-07T10:46:12.832431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.813493Z","title":"Manning, Prabhakar Raghavan, and Hinrich Sch \\\"u tze","venue":null,"work_id":"94ee63b0-852f-400a-ab20-4da6e3279e89","year":2008},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.552301Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:87a4d7fbf7a404771ececea9fa86bb8d881d4a08d51eb73e94c8058b8a45060c","observation_id":"a5016fae-6c49-4fdf-8647-5e7fe1703fb0","resolution":{"observed_at":"2026-08-07T10:46:12.818123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.798790Z","title":"Rectified linear units improve restricted boltzmann machines","venue":null,"work_id":"b54659e2-e5ad-4c58-a823-e23a20af8ca9","year":2010},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.556831Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:0deb7779cde04a742eac575d8ba92d5d5086c13570ccd7715e743f75450b0b89","observation_id":"5aeceed5-e9a4-4388-b3f6-9ca9de237966","resolution":{"observed_at":"2026-08-07T10:46:12.803537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.784263Z","title":"Supervised learning: No loss no cry","venue":null,"work_id":"a03459f4-c146-4f0d-b414-2b4cfe033c16","year":2020},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.561648Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:60257f286d86cd0cd7418216067271e06f8be750c565b20bd655e69352a3c377","observation_id":"66d053a4-4852-4146-abb1-26d04e7cf1c7","resolution":{"observed_at":"2026-08-07T10:46:12.788838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.769175Z","title":"Direct preference optimization: Your language model is secretly a reward model","venue":null,"work_id":"7dfc3c46-9f8e-4e93-8615-eade57b181c5","year":2023},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.566241Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:401ba8dec3b17edcd2f8e7770ce18dc8a17b6c82e08df4d79cacdb927136abe9","observation_id":"9c550716-9786-41d7-b30b-ab6db816ea21","resolution":{"observed_at":"2026-08-07T10:46:12.773724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.570711Z","title":"On ndcg consistency of listwise ranking methods","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.570711Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:89146f3cfe09f6b4440c8086624f06a27b9d0ef3038dd672ac64212c0e245036","observation_id":"464ca78d-c216-45dc-8b09-ef489b27f3b1","resolution":{"observed_at":"2026-08-07T10:46:12.570711Z","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":"2026-08-07T10:46:12.745355Z","title":"Composite binary losses","venue":null,"work_id":"84dd2f17-309d-49b3-b672-bbaa5bed3112","year":2010},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.575403Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:ca5957fb8fa45ccb6d7a2b4d6c20b90390c9e5bbca5b358370f64b8276cf8ed4","observation_id":"fcd95679-2476-45a6-aecd-e83dac011492","resolution":{"observed_at":"2026-08-07T10:46:12.750049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.730364Z","title":"Information, divergence and risk for binary experiments","venue":null,"work_id":"1800285d-d6e5-47d2-a566-5f682b4f1bae","year":2011},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.579759Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:920a6dbf5066d19295e5105d0a81a00acab103c906cee1d109b8bd596e143c36","observation_id":"efa033f3-0afc-4fe0-91d3-2a8efd6854ef","resolution":{"observed_at":"2026-08-07T10:46:12.735470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.06499","last_updated":"2022-02-14T06:22:56Z","snapshot_observed_at":"2026-07-06T12:37:21.762051Z","submitted_at":"2022-02-14T06:22:56Z","title":"Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations","version":1},"cited_work":{"arxiv_id":"2202.06499","doi":null,"metadata_source":"pith","pith_arxiv_id":"2202.06499","snapshot_observed_at":"2026-08-07T10:46:12.668339Z","title":"Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations","venue":"cs.LG","work_id":"4b9060a3-7035-4a49-a755-19d397e6da05","year":2022},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.584282Z"},"links":{"cited_paper":"/paper/2202.06499","citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:03a6f675b89471b42718aac2cb788434606eac1a6d2da92f5bdc64bcfaa4dfe6","observation_id":"ca14118c-1b0a-4b54-a685-7037cb213fda","resolution":{"observed_at":"2026-08-07T10:46:12.674822Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2010.09931","last_updated":"2020-12-01T00:11:42Z","snapshot_observed_at":"2026-08-07T13:45:18.751330Z","submitted_at":"2020-10-20T00:06:47Z","title":"Smooth activations and reproducibility in deep networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.09931","snapshot_observed_at":"2026-08-07T10:46:12.589757Z","title":"Smooth activations and reproducibility in deep networks","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.589757Z"},"links":{"cited_paper":"/paper/2010.09931","citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:30a22b2c03d9b144c86e696982b2a8d1339930c0493634b31f412b19a5fd90c1","observation_id":"1afcea04-c5c8-4790-b0d2-de06ff23ba85","resolution":{"observed_at":"2026-08-07T10:46:12.589757Z","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":"2026-08-07T10:46:12.715266Z","title":"Learning to approximate a bregman divergence","venue":null,"work_id":"fbf9b22b-3794-435d-b220-16ce15d27771","year":2020},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.594223Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:0c3ac899ebbbba41e15b45ac78f0c51d79c6105bd0b40de8ebac55fd06855692","observation_id":"11a24f70-e9f4-4c41-9cb8-fb390164389a","resolution":{"observed_at":"2026-08-07T10:46:12.720095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T10:46:12.700913Z","title":"Beyond clicks: dwell time for personalization","venue":null,"work_id":"55677cb3-dcb5-4961-94b0-a716a4bfd8ed","year":2014},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.598682Z"},"links":{"citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:797c906179ec8237b6cbaa7442a242e0bc04ae8e8e9382ebe599220d889bafbc","observation_id":"fd8448f8-ba30-4325-a2c0-a20ea8a511c1","resolution":{"observed_at":"2026-08-07T10:46:12.705344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.08593","last_updated":"2020-01-08T23:02:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-09-18T17:33:39Z","title":"Fine-Tuning Language Models from Human Preferences","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.08593","snapshot_observed_at":"2026-08-07T10:46:12.602717Z","title":"Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T10:46:12.602717Z"},"links":{"cited_paper":"/paper/1909.08593","citing_paper":"/paper/2506.04446"},"observation_digest":"sha256:19da9bee083379593e96109e238c6122870c3e501691837bb5dd0c6def6334d3","observation_id":"87ea704f-01d0-41f8-81ab-03b37688f9ea","resolution":{"observed_at":"2026-08-07T10:46:12.602717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.04446","last_updated":"2025-06-09T18:06:48Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T10:39:44.923315Z","submitted_at":"2025-06-04T21:03:54Z","title":"Selective Matching Losses -- Not All Scores Are Created Equal"},"reference_resolution":{"displayed":37,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":1,"verified_fuzzy":27},"total_outbound_references":37},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.04446."}