{"as_of":"2026-08-19T16:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36ad8a191e2d402c18241b76bfe5b02b4a74bdf21d854db6f57262e7ec5fa888","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T04:58:48.043232Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2412.00883/citation-record","integrity":"/paper/2412.00883/integrity","json":"/paper/2412.00883/citation-record.json","paper":"/paper/2412.00883"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T04:58:48.391265Z","title":null,"venue":null,"work_id":"3b70c004-f228-4434-9626-a021d5eb704f","year":2017},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.969438Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:466edec490d15212baac0afa2b75e8dec905ae5dfe23b4c2bbc06c7f99bb178d","observation_id":"750c740c-20f1-45ac-989c-b6e267118a12","resolution":{"observed_at":"2026-08-12T04:58:48.395670Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T04:58:48.375039Z","title":"In NeurIPS","venue":null,"work_id":"b072e25e-258e-495e-ba7b-60ccaefbcb87","year":2020},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.979781Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:ad78019821ec0155214c693ab35c9a9d2d6cb13ae7146dd63ed100253b1c6470","observation_id":"bff26d70-dfc1-4731-b685-17da6c507ff8","resolution":{"observed_at":"2026-08-12T04:58:48.379263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T04:58:48.362709Z","title":"In NAACL, pages 3003–","venue":null,"work_id":"a1558911-6721-4aff-963a-3cc705fe3307","year":null},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.988723Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:7997783d11efbfb6e370adf0f37bee45f754b7985bd0db754b130601dd05de69","observation_id":"cebd4b1b-af9e-4fc9-b3fa-b705459d8823","resolution":{"observed_at":"2026-08-12T04:58:48.366695Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T04:58:48.272764Z","title":"Fur- thermore, PS-NET incorporates curriculum ad- versarial training (CAT) (shown in Algorithm 1) to 2O progressively increase learning complexity","venue":null,"work_id":"1531d3b7-8e04-427e-a4b9-0e5f71fd3ec2","year":2018},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:48.043232Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:ef3283c7c15a62a5ab4ded0a7f2225eb00479364c4a2b13e49a8cc90829e4fa0","observation_id":"a3e0df55-fa88-490f-a1d8-e64daa00cfd0","resolution":{"observed_at":"2026-08-12T04:58:48.326197Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.13818","last_updated":"2020-10-23T03:19:58Z","snapshot_observed_at":"2026-08-12T23:09:44.615619Z","submitted_at":"2020-09-29T07:08:35Z","title":"A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.13818","snapshot_observed_at":"2026-08-12T04:58:47.983740Z","title":"In NeurIPS, pages 1163–1171","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.983740Z"},"links":{"cited_paper":"/paper/2009.13818","citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:d2d59cea0610a341a13e3013811fa81aab01062b1b77f1c3bb5c0d4389446832","observation_id":"c7cf7d25-d670-4b37-b254-8604f7856664","resolution":{"observed_at":"2026-08-12T04:58:47.983740Z","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":"2026-08-12T04:58:48.405439Z","title":"In NeuralPS, pages 3146–3154","venue":null,"work_id":"e93d0003-600d-4242-8256-b0d05d042f8e","year":2019},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.964558Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:c351209c3c21a96aa580bae2a3bb8777cfe32caba8295c4e8f9a0e8333b543b0","observation_id":"64c03b77-c33f-42b2-8f08-5a5cc731ded3","resolution":{"observed_at":"2026-08-12T04:58:48.409397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1207.0580","last_updated":"2012-07-03T06:35:15Z","snapshot_observed_at":"2026-08-15T00:54:35.320150Z","submitted_at":"2012-07-03T06:35:15Z","title":"Improving neural networks by preventing co-adaptation of feature detectors","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1207.0580","snapshot_observed_at":"2026-08-12T04:58:47.952673Z","title":"In ICML, vol- ume 80 of Proceedings of Machine Learning Re- search, pages 1602–1611","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.952673Z"},"links":{"cited_paper":"/paper/1207.0580","citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:7f83738931b8c04d8b35f583ee022b5e5ce9fb80899e84e5d008a9a2131b6e79","observation_id":"428041a5-be91-41b6-a118-16efa61577ed","resolution":{"observed_at":"2026-08-12T04:58:47.952673Z","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":"2026-08-12T04:58:48.566090Z","title":"In NeurIPS, pages 5050–5060","venue":null,"work_id":"0aec874a-c2f0-49ed-b258-c5d5c449ef1b","year":2022},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.788018Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:f50bc0b289516d49f3fcab5f1005bed7ae668f78293d853f90860075b591ac7c","observation_id":"ee996dad-1fe9-4b8c-8fe2-b913b521e9c7","resolution":{"observed_at":"2026-08-12T04:58:48.612470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.10921","last_updated":"2023-03-15T15:49:07Z","snapshot_observed_at":"2026-08-16T16:00:05.083990Z","submitted_at":"2023-01-26T03:53:25Z","title":"SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.10921","snapshot_observed_at":"2026-08-12T04:58:47.873008Z","title":"In NeurIPS","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.873008Z"},"links":{"cited_paper":"/paper/2301.10921","citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:719dfdf8e5e5d23e87806872812122fe71c65360ebd00398bb9fa8a2febe91b5","observation_id":"aa11776c-7e6c-47c0-8ae8-eaa674edd804","resolution":{"observed_at":"2026-08-12T04:58:47.873008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-12T04:58:47.974400Z","title":"In NeurIPS","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.974400Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:ec1e38b5414370015cce01a1315ba52fc391bc95bb1027bd2905c81ff7e249d0","observation_id":"d5b11e3f-fd37-4652-ae0b-55bcd9e96911","resolution":{"observed_at":"2026-08-12T04:58:47.974400Z","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":"2026-08-12T04:58:48.434781Z","title":"In CVPR, pages 18392–18402","venue":null,"work_id":"f86edf3c-a677-4509-9e3c-b481b4a97c9e","year":null},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.807101Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:7fffb6a4776e9ccc2517e98d2ebff06a80971a9a1abf8f3059d2faf04a64a060","observation_id":"ffb3b976-5c91-4765-bc07-333c0cbe162c","resolution":{"observed_at":"2026-08-12T04:58:48.469905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T04:58:48.348335Z","title":"Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, and Weiran Xu","venue":null,"work_id":"1cf76014-07a7-44f6-b972-66da5fe1c7ba","year":2021},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":3013,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.994849Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:046fb159feba0d713a0cb16700dee0772743f60edee9e712d3a77c125300cc1f","observation_id":"08d72ab0-7d07-423b-8a16-4fd4182dc57a","resolution":{"observed_at":"2026-08-12T04:58:48.353599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-12T04:58:48.418101Z","title":"Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, and Qun Liu","venue":null,"work_id":"f0a04036-7f7e-4c05-93ad-53162835f546","year":2020},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":4030,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:47.959165Z"},"links":{"citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:4809e98f77a2d37149aeb512b7655852768b6d208c9169d67959d3337dea3c4b","observation_id":"8cddf531-85e7-480d-9e63-1f7fd916cc9a","resolution":{"observed_at":"2026-08-12T04:58:48.423185Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13372","last_updated":"2024-06-27T22:44:48Z","snapshot_observed_at":"2026-08-17T02:51:06.474773Z","submitted_at":"2024-03-20T08:08:54Z","title":"LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13372","snapshot_observed_at":"2026-08-12T04:58:48.001845Z","title":"Bowen Zhang, Yidong Wang, Wenxin Hou, Hao Wu, Jindong Wang, Manabu Okumura, and Takahiro Shi- nozaki","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence","version":1},"reference_index":5075,"source":"pdf_text","source_observed_at":"2026-08-12T04:58:48.001845Z"},"links":{"cited_paper":"/paper/2403.13372","citing_paper":"/paper/2412.00883"},"observation_digest":"sha256:699c4c64bd3287d8e7b85d82f39c43f2bf5682a02caa52ee25740e9e34f323a8","observation_id":"fed66f58-e509-43e0-a045-68abe36f5481","resolution":{"observed_at":"2026-08-12T04:58:48.001845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2412.00883","last_updated":"2024-12-01T16:44:27Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T15:29:07.281838Z","submitted_at":"2024-12-01T16:44:27Z","title":"Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":8},"total_outbound_references":14},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2412.00883."}