{"as_of":"2026-08-10T14:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ed981e690ff949ed769735c8f242a650aea8674f4190f2869ee8f1ea60089f9","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T01:47:26.420486Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-03T20:08:56.018910Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.03871","last_updated":"2026-05-05T15:31:00Z","snapshot_observed_at":"2026-08-09T01:20:11.013005Z","submitted_at":"2026-05-05T15:31:00Z","title":"EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics","version":1},"cited_work":{"arxiv_id":"2605.03871","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.03871","snapshot_observed_at":"2026-07-03T20:08:56.018910Z","title":"EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics","venue":"cs.AI","work_id":"6874033d-1939-4a5e-af1f-9f031f0ccb0a","year":2026},"citing_paper":{"arxiv_id":"2606.18327","last_updated":"2026-06-16T17:59:40Z","snapshot_observed_at":"2026-08-04T12:45:49.604739Z","submitted_at":"2026-06-16T17:59:40Z","title":"Self-CTRL: Self-Consistency Training with Reinforcement Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T01:38:48.296421Z"},"links":{"cited_paper":"/paper/2605.03871","citing_paper":"/paper/2606.18327"},"observation_digest":"sha256:39cb5c9e1132003cd550764740b90758cbe7b45ace1305dc5f621a4d67558463","observation_id":"c2d48edd-559d-4464-89d5-8d2be67033fb","resolution":{"observed_at":"2026-07-03T20:08:56.021198Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.03871","last_updated":"2026-05-05T15:31:00Z","snapshot_observed_at":"2026-08-09T01:20:11.013005Z","submitted_at":"2026-05-05T15:31:00Z","title":"EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.03871","snapshot_observed_at":"2026-08-01T01:54:10.226495Z","title":"Shuyue Stella Li, Rui Xin, Teng Xiao, Yike Wang, Rulin Shao, Zoey Hao, Melanie Sclar, Sewoong Oh, Faeze Brahman, Pang Wei Koh, and Yulia Tsvetkov","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25675","last_updated":"2026-07-28T12:53:30Z","snapshot_observed_at":"2026-08-08T21:13:41.515747Z","submitted_at":"2026-07-28T12:53:30Z","title":"DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T01:54:10.226495Z"},"links":{"cited_paper":"/paper/2605.03871","citing_paper":"/paper/2607.25675"},"observation_digest":"sha256:83ded79531c4d03c213468295d163bc1e07cc6f57ca555e8b85c5661404dee98","observation_id":"cac28d9e-e93f-4c0b-ab92-811ff92d3df5","resolution":{"observed_at":"2026-08-01T01:54:10.226495Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.03871","last_updated":"2026-05-05T15:31:00Z","snapshot_observed_at":"2026-08-09T01:20:11.013005Z","submitted_at":"2026-05-05T15:31:00Z","title":"EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.03871","snapshot_observed_at":"2026-07-30T18:33:28.521226Z","title":"S.; Xin, R.; Xiao, T.; Wang, Y.; Shao, R.; Hao, Z.; Sclar, M.; Oh, S.; Brahman, F.; Koh, P","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26873","last_updated":"2026-07-31T13:09:25Z","snapshot_observed_at":"2026-08-10T14:17:12.411816Z","submitted_at":"2026-07-29T13:03:07Z","title":"SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-07-30T18:33:28.521226Z"},"links":{"cited_paper":"/paper/2605.03871","citing_paper":"/paper/2607.26873"},"observation_digest":"sha256:e1863b73ba36375b214c67bc6e64a621bf067a5eaa3fdffccc6df06e20fd5689","observation_id":"9b1a90f9-52fb-4d0b-83e5-5c32b008ee46","resolution":{"observed_at":"2026-07-30T18:33:28.521226Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.03871","last_updated":"2026-05-05T15:31:00Z","snapshot_observed_at":"2026-08-09T01:20:11.013005Z","submitted_at":"2026-05-05T15:31:00Z","title":"EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.03871","snapshot_observed_at":"2026-08-03T01:47:26.420486Z","title":"2605.03871 , archivePrefix=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26873","last_updated":"2026-07-31T13:09:25Z","snapshot_observed_at":"2026-08-10T14:17:12.411816Z","submitted_at":"2026-07-29T13:03:07Z","title":"SERPO: Self-Evolving Rubric Policy Optimization for Open-Ended Test-Time Reinforcement Learning","version":2},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-03T01:47:26.420486Z"},"links":{"cited_paper":"/paper/2605.03871","citing_paper":"/paper/2607.26873"},"observation_digest":"sha256:b209bc4747e302e0ef32b1424014b3ec19c0fb1d25c44cfe9a666fe0dab9dcdc","observation_id":"51aa791f-3ed6-4313-9953-0cc108fd7c01","resolution":{"observed_at":"2026-08-03T01:47:26.420486Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.03871/citation-record","integrity":"/paper/2605.03871/integrity","json":"/paper/2605.03871/citation-record.json","paper":"/paper/2605.03871"},"outbound":[],"paper":{"arxiv_id":"2605.03871","last_updated":"2026-05-05T15:31:00Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T01:20:11.013005Z","submitted_at":"2026-05-05T15:31:00Z","title":"EvoLM: Self-Evolving Language Models through Co-Evolved Discriminative Rubrics"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2605.03871."}