{"as_of":"2026-08-10T15:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a6160840f133a749d5d0edfedec230d092e1585492c9a4de8f723e6d8475389a","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T10:09:09.678060Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2606.03576/citation-record","integrity":"/paper/2606.03576/integrity","json":"/paper/2606.03576/citation-record.json","paper":"/paper/2606.03576"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T10:09:09.678060Z","title":"Journal of the Association for Information Science and Technology , volume =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:4171d0129ea10a36a67c6349026d00cad5f45f076c255448c0d2746b9739fc58","observation_id":"95087cdb-c91f-4b59-97af-8d99a3f4c8d8","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Science , volume =","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:832f887b6085747f8d424c7346d8567795f8e536b912608460e04c6258d1b000","observation_id":"f3720d60-4228-4a51-af3a-ad252d39205a","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"1976 , note =","venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:3978eab6313b71517e206f5670858ac515a3f893fb64fa9462318f118afdf5a4","observation_id":"c807df10-3447-4d5b-ab61-a6bb9d0eecd5","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Journal of the Association for Information Science and Technology , volume =","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:c36a48f86a4d573be5e2e4f8afb375f2fe4b96c8fe4271681079cdacb70806eb","observation_id":"bf7bc01d-06d6-4d54-b231-ff9dff750615","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Science , volume =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:b1f0fb65ed901260e10e6ea12d7935e16b99a1a3c8a29f9980ae9732a2e3bafc","observation_id":"f843c435-b3c0-4d12-971f-10bd1983b0da","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Journal of the American Society for Information Science and Technology , volume =","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:fde2e6cf1abed25f0ed0d2eb47fd8f7b5227b80d34b2859020fb08da090ce0cd","observation_id":"3efa76fc-0cdc-42b4-b732-552c03d9a80f","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Journal of the Association for Information Science and Technology , volume =","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:77b226bb3d6bc11bbffdd586cca63cf7a4b23adecb419ca3e2e4a6c3ea6f12a0","observation_id":"f4f5c019-820a-42be-b536-3c0401ba201e","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2022 , url =","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:895b8702707cbccc2c4e7b5cd1695534b68d510b75eae151878b28d39e09f179","observation_id":"1da916bc-21d6-427b-9ad7-60b8034fefb5","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics , pages =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:1f2c7542eb591a712f8501bec22e8da8033dd76d7256e559b9e37ac724457c1d","observation_id":"3d87ad4c-b3ad-45b6-94ac-1edf72e07242","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2019 , doi =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:ec4897129d67a3e739c2bab1405f1e012116c91fa999471e3e48d6e0c851d6d9","observation_id":"a2e8f044-b223-4e5b-86ca-e5e474ff016c","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":", booktitle =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:b4732b37fff78928724e4f61c91b18ecbbc01064bacceb591cf11955e22d801c","observation_id":"91989c34-96b2-439a-aff2-8f8446972ae1","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics , pages =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:9d4b13e9cc85761938b19ca4c84c5df1ddb65aa3848483da7c7258e39e97c497","observation_id":"380d7b6e-76d9-49ab-9aa0-121c90ba0eda","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:5fc6d8b5feb34c09547c3e7c7787024d1867b7b53e91b8ac247bbc4e383a298a","observation_id":"fbfafc7f-6556-478a-bcbc-7187c86976b7","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2019 , doi =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:dc43048236497488deadf1978417edef332390fb319aeb7a7c48a9bf4e2bf83c","observation_id":"973f6b88-f355-49fb-98b8-f6b617dfd66d","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2019 , url =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:5a39587db0ac68057deb60d2f15b3b4a483999bcc169cdae3a3fc84378faa8bc","observation_id":"dcfd1272-acd1-4564-b6f8-08fa5e21d579","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Pre-Training With Whole Word Masking for","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:7d38228d1f1cae60bbe5d22032212bb0f1ad23978f552a0acf9444d930f6cff4","observation_id":"de599e5f-fcb3-497a-b2f4-0a259f0b0514","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Revisiting Pre-Trained Models for","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:369bc32d285f1566ae714883e34774ae3a4fa70ea812883df71db6c175427915","observation_id":"fe77d601-6cf7-4a25-a88d-534d25968f79","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"IEEE Transactions on Knowledge and Data Engineering , volume =","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:7b73a929fae81b9188924bf4bb8bf402000e9305cc007f6bc1010b693fc24dd3","observation_id":"383c139f-ea0e-4ba4-8d1f-abcf31118b5d","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Neural Networks , volume =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:0934ad09fe28d6b5e71b0406042cad4335a8144222ac924a033f058bd6766346","observation_id":"01bdd1c4-5f8a-4011-a5df-d1e5de7e482c","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the IEEE International Conference on Computer Vision , pages =","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:acd5f394b442b04a9d62a0a24bce7f307da31a52223170c602c7e6b85fcf5019","observation_id":"0708a809-2db6-44e8-ab9a-75d12e227118","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Advances in Neural Information Processing Systems , pages =","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:a7d0aed1d18dcff83f20f5515587d87df1629a83a8fd532d47f17dd648141ca4","observation_id":"1ad80957-2b2a-44c3-b3ae-9815bb3c79ce","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Advances in Neural Information Processing Systems , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:48d18a0442e3569eeeb128a5eab572155886b97bb247cec9d6545c80434d4cc9","observation_id":"4068bb23-07d8-4434-86ae-0088e92fc46f","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:4ee93269fa4d59592e755abd28767fad4afa1918255701558186db45f673327e","observation_id":"5b07a03b-8a50-4108-9e4f-345ac96b9b00","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"International Conference on Learning Representations , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:2326584bcff124c89f962d4addc94a27ab668a70966e403bb4b9309da895f08c","observation_id":"ad09d98d-18ab-4963-af09-a0ada8995a32","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.07725","last_updated":"2021-11-16T07:16:21Z","snapshot_observed_at":"2026-08-03T15:04:24.910065Z","submitted_at":"2016-05-25T04:25:45Z","title":"Adversarial Training Methods for Semi-Supervised Text Classification","version":4},"cited_work":{"arxiv_id":"1605.07725","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1605.07725","snapshot_observed_at":"2026-07-02T03:26:28.462824Z","title":"Adversarial training methods for semi- supervised text classification","venue":null,"work_id":"6961a2c6-e191-42bb-9ec5-47454fbfc267","year":2016},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"cited_paper":"/paper/1605.07725","citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:62579d082b2cdc1b457db9fd7718703f8b90a7d5658f1dd02129d0d31542e960","observation_id":"175ab6d8-6d09-414c-9fe7-e8d3fc5c65b2","resolution":{"observed_at":"2026-07-02T03:26:28.464664Z","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-28T10:09:09.678060Z","title":"2020 , url =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:4e2b2a896d89e36f84b9c95306ccb75b4b8c0d39d0dcccd32da800fae1888523","observation_id":"86efaefd-42a1-461e-8c46-227c55276548","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2020 , doi =","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:a69ed3f9176cf2b13fac480d5c55a84c895fa3de9e11bf800fcf4683ceb3b14a","observation_id":"38d3d993-6e53-49c4-8b12-18c0359c1a8f","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2021 , url =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:513c1a47c55e68016a90a020d9cc0919d19a8fdeba476a37cebefbd738a99ab3","observation_id":"5a4bdacb-cde5-426b-af56-22a5746d9b42","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Neural Computation , volume =","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:ad1cf7d563ad811648514a76e67660ccb778b5dd56618cbc9c9f478964db98be","observation_id":"b0a34329-1e5e-4dcb-88b1-29f0f156c785","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2023 , doi =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:86f1ebbc493157673eb5508f924fa66484a78d5b171da3d340d64e7115384a6a","observation_id":"738e09f3-e95d-4fb9-a236-8b9992e889c2","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2024 , url =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:939da34185757195c9fbb7899407f7e4f2301596ea12ea218fb623898c7ed8d0","observation_id":"9d1573f7-9c0b-45aa-8261-921c6515830a","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the Fourth Workshop on Scholarly Document Processing , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:ed5c17208a273a066dd7e5a385a72a27d0cacab475d61f31d638d2aa9b4c0e41","observation_id":"dbdb21bf-bc8f-41d9-866e-452a443d2428","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the First Workshop on Advancing Natural Language Processing for Wikipedia , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:91ad83eb12536564c43d354fcd119c646a961b7f2e1ad7b617bbcac139425f62","observation_id":"8c0ef87d-b3b7-4203-b68e-eab733e549db","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 7th International Conference on Natural Language and Speech Processing , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:afb37b27393b4f591a96c7c36d77000ae0ff226ad7c02da61fbccf9cbb063016","observation_id":"aa530a59-d4a0-4353-84c4-3e9faac667c6","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics , pages =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:45e6f0a9acd497af9c4d1107ac49c0ebf796565b89eb4c3a8482d1deb368dc8a","observation_id":"b2c71a27-439a-42a5-8659-1239e22793dc","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2024 , doi =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:6f4cda7aea48e2db39184ef5fa4677f3b38fd4bd0df5c7c9caa325f19530e33a","observation_id":"eafe38af-2720-4b70-8e82-ad086bea15d8","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:928edf0486619e4fc9a59100fb9576e4bc462d2b061263462c4e71604d26001a","observation_id":"10abe32c-4a74-4c64-b5e7-9ad515a5d375","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation , pages =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:3c99937b92e0884de975cca1ec9f90fba7dd95c81e411532ecf0cc278dacc85d","observation_id":"05bf8ebd-da89-4bb1-8342-ae1bce5d0446","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2023 , doi =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:aad1b3ebedda7a479ed052c8da4af047e989044a48e16a75ac277b6bbd43c99a","observation_id":"de1f0605-32dc-4793-b4a7-d11f8f59e5b5","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2023 , doi =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:c1fd58e22b9fb00b6fdb59325fe95f9c6953c3a9514b77e417deba13a28b1d57","observation_id":"685fa5af-056d-48b7-978f-50fc0ea48dc0","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"Findings of the Association for Computational Linguistics: EACL 2023 , pages =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:3d26afc4c6e61cdd71b8a68fba1dab3a0d181c2ad3d63963a792e8517fdaa9a4","observation_id":"82018f45-3600-489b-8bae-9ca922625338","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","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":"2026-06-28T10:09:09.678060Z","title":"2026 , doi =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-28T10:09:09.678060Z"},"links":{"citing_paper":"/paper/2606.03576"},"observation_digest":"sha256:a50f0bc604f5ca7bde19e0aa98e9555cb4469244ca895c828df55ed08b9b85e7","observation_id":"2f2d93a5-8733-4d09-81a6-06b9dab6a688","resolution":{"observed_at":"2026-06-28T10:09:09.678060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.03576","last_updated":"2026-06-08T08:13:46Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T08:05:54.085617Z","submitted_at":"2026-06-02T12:44:40Z","title":"AutoTail-BSFGM: Class-Balance-Aware Fine-Tuning for Chinese Scholarly Text Classification"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":42},"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 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.03576."}