{"as_of":"2026-08-10T13:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:13d5b8eef34ccf0e474d21b3f20424f777ad30edfd9402faa2b3db08cbdbcb05","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":"2026-06-27T09:45:05.825373Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T10:58:03.196096Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.01657","last_updated":"2024-04-02T05:59:43Z","snapshot_observed_at":"2026-08-10T07:31:54.355930Z","submitted_at":"2024-04-02T05:59:43Z","title":"Release of Pre-Trained Models for the Japanese Language","version":1},"cited_work":{"arxiv_id":"2404.01657","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01657","snapshot_observed_at":"2026-07-03T10:58:03.196096Z","title":"In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","venue":null,"work_id":"77e5dca4-02dd-47fb-bcb7-b6731f1982c9","year":2024},"citing_paper":{"arxiv_id":"2408.11349","last_updated":"2026-05-01T04:20:00Z","snapshot_observed_at":"2026-07-06T19:03:52.342045Z","submitted_at":"2024-08-21T05:30:06Z","title":"Image Score: Learning and Evaluating Human Preferences for Mercari Search","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-23T21:43:26.252406Z"},"links":{"cited_paper":"/paper/2404.01657","citing_paper":"/paper/2408.11349"},"observation_digest":"sha256:8527cf9620382a803fa06dcdeffdb48397c40687c3e557ded7148f283bbc5b93","observation_id":"13a42c5d-e0c3-44cd-9d5f-7333411418e8","resolution":{"observed_at":"2026-05-23T21:43:28.576844Z","resolver_source":"arxiv_id","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":"2404.01657","last_updated":"2024-04-02T05:59:43Z","snapshot_observed_at":"2026-08-10T07:31:54.355930Z","submitted_at":"2024-04-02T05:59:43Z","title":"Release of Pre-Trained Models for the Japanese Language","version":1},"cited_work":{"arxiv_id":"2404.01657","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01657","snapshot_observed_at":"2026-07-03T10:58:03.196096Z","title":"In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","venue":null,"work_id":"77e5dca4-02dd-47fb-bcb7-b6731f1982c9","year":2024},"citing_paper":{"arxiv_id":"2505.15353","last_updated":"2026-04-20T15:19:32Z","snapshot_observed_at":"2026-08-02T21:58:10.606536Z","submitted_at":"2025-05-21T10:27:54Z","title":"Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-22T14:11:05.769830Z"},"links":{"cited_paper":"/paper/2404.01657","citing_paper":"/paper/2505.15353"},"observation_digest":"sha256:fd89be45f154145e4a276ef93f7db5cbdf37413266be3a40e9d2baa6bb46ee56","observation_id":"97f1756f-f98f-4fd3-91bb-0e7ee50f6fc6","resolution":{"observed_at":"2026-05-22T14:11:38.375678Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2404.01657","last_updated":"2024-04-02T05:59:43Z","snapshot_observed_at":"2026-08-10T07:31:54.355930Z","submitted_at":"2024-04-02T05:59:43Z","title":"Release of Pre-Trained Models for the Japanese Language","version":1},"cited_work":{"arxiv_id":"2404.01657","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01657","snapshot_observed_at":"2026-07-03T10:58:03.196096Z","title":"In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","venue":null,"work_id":"77e5dca4-02dd-47fb-bcb7-b6731f1982c9","year":2024},"citing_paper":{"arxiv_id":"2509.20237","last_updated":"2026-04-25T18:27:03Z","snapshot_observed_at":"2026-07-06T22:30:41.141182Z","submitted_at":"2025-09-24T15:27:44Z","title":"Investigating the Representation of Backchannels and Fillers in Fine-tuned Language Models","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-05-18T14:07:26.348545Z"},"links":{"cited_paper":"/paper/2404.01657","citing_paper":"/paper/2509.20237"},"observation_digest":"sha256:d0f00c3a73b4a603a79ef950af59da7beef50802c25e847e3f0373c2d6dd3bfd","observation_id":"42f00e3f-979e-4681-bd13-3e9a850f2005","resolution":{"observed_at":"2026-05-18T14:11:27.654840Z","resolver_source":"arxiv_id","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":"2404.01657","last_updated":"2024-04-02T05:59:43Z","snapshot_observed_at":"2026-08-10T07:31:54.355930Z","submitted_at":"2024-04-02T05:59:43Z","title":"Release of Pre-Trained Models for the Japanese Language","version":1},"cited_work":{"arxiv_id":"2404.01657","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.01657","snapshot_observed_at":"2026-07-03T10:58:03.196096Z","title":"In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","venue":null,"work_id":"77e5dca4-02dd-47fb-bcb7-b6731f1982c9","year":2024},"citing_paper":{"arxiv_id":"2606.11875","last_updated":"2026-06-10T09:59:06Z","snapshot_observed_at":"2026-08-06T05:00:40.859774Z","submitted_at":"2026-06-10T09:59:06Z","title":"I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-06-27T09:45:05.825373Z"},"links":{"cited_paper":"/paper/2404.01657","citing_paper":"/paper/2606.11875"},"observation_digest":"sha256:d1c587818131874f370596205d2fa57a3779969babc6f41ea6fa9e3a14307be5","observation_id":"41cd1eb8-187e-487b-9e83-24f32098d20e","resolution":{"observed_at":"2026-07-03T10:58:03.197545Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2404.01657/citation-record","integrity":"/paper/2404.01657/integrity","json":"/paper/2404.01657/citation-record.json","paper":"/paper/2404.01657"},"outbound":[],"paper":{"arxiv_id":"2404.01657","last_updated":"2024-04-02T05:59:43Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T07:31:54.355930Z","submitted_at":"2024-04-02T05:59:43Z","title":"Release of Pre-Trained Models for the Japanese Language"},"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:2404.01657."}