{"as_of":"2026-08-06T17:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7287a09452a38eb762e04b50ab0c3c92f2888e8282e5ad57157baadb814aadf8","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T23:03:16.097382Z","state":"measured"},{"denominator":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.09098/citation-record","integrity":"/paper/2605.09098/integrity","json":"/paper/2605.09098/citation-record.json","paper":"/paper/2605.09098"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T12:13:44.771275Z","title":"InPro- ceedings of the 2023 Conference on Empirical Meth- ods in Natural Language Processing, pages 12914– 12929, Singapore","venue":null,"work_id":"27d2026e-f033-4e33-8a1a-56802af4a69e","year":2023},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:b1cfe7283f109c6d59733978ff1fd462320303a6c4d7378b900ec86635781412","observation_id":"842e0b93-7784-4fd6-9c50-b75ab879bdbe","resolution":{"observed_at":"2026-07-07T12:13:44.773669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T12:13:44.768911Z","title":"InProceedings of the Seventh Conference on Machine Translation (WMT), pages 46–68, Abu Dhabi, United Arab Emirates (Hybrid)","venue":null,"work_id":"e9531268-aca9-4750-a4ec-1946c38c75fa","year":2021},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:a449b65b898985b85499ebe4527ba39449b67f484ff471356fb1f112b2cde9b7","observation_id":"ad9d37ae-406f-4c5e-9366-ff600f3dca65","resolution":{"observed_at":"2026-07-07T12:13:44.770557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:da904a5a4e3e262f681cdb35a76a87ed2afd426b6f695d1be999824582c91d50","observation_id":"de6ae8fa-ccbb-45ba-a091-740f0e21ab77","resolution":{"observed_at":"2026-06-30T23:05:07.119766Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T12:13:44.776722Z","title":null,"venue":null,"work_id":"96cd96d5-1b76-49e1-be4d-a75cf6fc9dfc","year":2022},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:928bde82a79f7b8be9ada18ca92bc1e845229f35c4396935f7725f1a740c6744","observation_id":"4113b3bd-9a9d-48d2-9dbf-ea06221104f9","resolution":{"observed_at":"2026-07-07T12:13:44.778874Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T12:13:44.781105Z","title":null,"venue":null,"work_id":"1d0ea881-ef56-4223-b6dc-c2b2e8b1204f","year":null},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:9e7cbcea9dfc47c7d8f4b730433747d64c97ec16611aee39f2cbac6166849a93","observation_id":"6561b7be-ba2b-4fa9-9bd5-e60cff7bdb36","resolution":{"observed_at":"2026-07-07T12:13:44.782373Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T12:13:44.779402Z","title":null,"venue":null,"work_id":"ceec2341-6781-46a8-8de9-a0d3f36184f6","year":null},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:1e68062da82398837f430f699071a0ab2639e84a45f1452cdd6e3839146d39b6","observation_id":"99fc4587-2219-4e8f-b40e-209fa8848780","resolution":{"observed_at":"2026-07-07T12:13:44.780615Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T12:13:44.774271Z","title":"We then retain the temperature yielding the best validation performance according to a specified selection criterion","venue":null,"work_id":"5b7b8b9c-5bc6-42a9-bc3e-76bd2685c74e","year":null},"citing_paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T23:03:16.097382Z"},"links":{"citing_paper":"/paper/2605.09098"},"observation_digest":"sha256:3d1dfb15ea03fa4992a9dd71d5e9c8c33b65b8cc27c11ef12856e3f96a11d038","observation_id":"f3aabc0d-a447-458b-aa5b-be3cd2eb244a","resolution":{"observed_at":"2026-07-07T12:13:44.776008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.09098","last_updated":"2026-05-31T21:09:03Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-03T19:49:15.232694Z","submitted_at":"2026-05-09T18:12:10Z","title":"Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":7},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2605.09098."}