{"as_of":"2026-08-07T18:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5ffc8622fc085a9705fe4068a32d766694e6c4b9a09f408e3417817b6ce8e9bd","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:31:53.253028Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:49:52.821536Z","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":"2026-08-06T23:49:56.116681Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"cited_work":{"arxiv_id":"2506.07645","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.07645","snapshot_observed_at":"2026-08-06T23:49:56.116681Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","venue":"cs.CL","work_id":"0af22a99-c8fe-4bdd-bcac-b8297b781419","year":2025},"citing_paper":{"arxiv_id":"2506.16322","last_updated":"2025-06-19T13:56:41Z","snapshot_observed_at":"2026-08-06T23:41:49.856652Z","submitted_at":"2025-06-19T13:56:41Z","title":"PL-Guard: Benchmarking Language Model Safety for Polish","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:52.821536Z"},"links":{"cited_paper":"/paper/2506.07645","citing_paper":"/paper/2506.16322"},"observation_digest":"sha256:1d8cd3210a958711ca760ff74448ea096b84aae6a62aa28d115baf513062cd3b","observation_id":"7daf2794-dfba-4877-a328-33cb345afc63","resolution":{"observed_at":"2026-08-06T23:49:56.218135Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.07645/citation-record","integrity":"/paper/2506.07645/integrity","json":"/paper/2506.07645/citation-record.json","paper":"/paper/2506.07645"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:31:57.365524Z","title":"BERT: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"fba7f2d8-bc5c-45a9-bea6-c21bee372b48","year":2019},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.313324Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:b6e788a94124aef31bf40f4d592e35065fc950a00e6650f54061c056ec2e115c","observation_id":"4d008695-f593-4208-ba51-31e4e4e421da","resolution":{"observed_at":"2026-08-07T05:31:57.455663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:57.161929Z","title":"Abhishek Kadian","venue":null,"work_id":"2cf3fbec-40db-46e7-9a62-5e4eec168585","year":2024},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.403795Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:bbe3813e86ceaa853d8cffc52479b25ba045c1fa98ab37c5052053b02e6a72e9","observation_id":"d9f71cab-131f-46ad-a00d-14d9a0fa2149","resolution":{"observed_at":"2026-08-07T05:31:57.279635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:56.984397Z","title":"Is bert really robust? a strong baseline for natural language attack on text classification and entailment","venue":null,"work_id":"be86c9d5-30e8-4397-8cc3-d1973f351744","year":2019},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.451885Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:83ec5f06b7029756c2754312efe593eb8243e9e9d9eba495a1d94859da7d6311","observation_id":"0d0873e1-42d8-4ccc-bf06-f60b293f89ab","resolution":{"observed_at":"2026-08-07T05:31:57.065191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.09984","last_updated":"2020-10-02T03:08:04Z","snapshot_observed_at":"2026-07-06T09:14:04.157271Z","submitted_at":"2020-04-21T13:30:02Z","title":"BERT-ATTACK: Adversarial Attack Against BERT Using BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.09984","snapshot_observed_at":"2026-08-07T05:31:50.552193Z","title":"Xue, and Xipeng Qiu","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.552193Z"},"links":{"cited_paper":"/paper/2004.09984","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:2bc8a9736f900e2e6c6c664dbab486bfad65fda2de4256d89bcd7083a855c302","observation_id":"494ce934-11f8-465d-98af-2063a34bfb3f","resolution":{"observed_at":"2026-08-07T05:31:50.552193Z","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":"2026-08-07T05:31:56.866099Z","title":"T3: Tree-autoencoder constrained adversarial text generation for targeted attack","venue":null,"work_id":"ff097428-2281-4853-b369-51942a29bacf","year":2020},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.580504Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:82f8fea95b324a1071b264c8066e79d1c3af05b48f17ba54d7d055bcb00547a8","observation_id":"7a4fd339-e467-415a-aeaa-a5c304c995cf","resolution":{"observed_at":"2026-08-07T05:31:56.934032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:56.684144Z","title":"Word-level textual adversarial attacking as combinatorial optimization","venue":null,"work_id":"c4048f0c-61f0-4a5a-8165-ea84af2eeb1e","year":2020},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.620493Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:a0124d5f2ea667e37c96fc85ce0c38677a4117c5c7d5542b2ca90922d93d7e04","observation_id":"0e6dce39-9b11-4ff2-bc6b-b8e9cee93ee7","resolution":{"observed_at":"2026-08-07T05:31:56.769717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:56.537500Z","title":"Jailbroken: How does llm safety training fail? In A","venue":null,"work_id":"4102c84d-ffec-4d04-902a-cb0ccc2cb3c3","year":null},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.709481Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:7b11b4a85f0b4ad5dd31b9ba99f247ead935e2c514256f391ca8255e21091177","observation_id":"708ca4f9-ed20-4287-b385-20c6778e8517","resolution":{"observed_at":"2026-08-07T05:31:56.608085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00118","last_updated":"2024-10-02T15:22:49Z","snapshot_observed_at":"2026-08-02T16:20:09.773989Z","submitted_at":"2024-07-31T19:13:07Z","title":"Gemma 2: Improving Open Language Models at a Practical Size","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00118","snapshot_observed_at":"2026-08-07T05:31:50.762334Z","title":"Gemma 2: Improving open language models at a practical size.arXiv preprint arXiv:2408.00118, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.762334Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:d023ab3c5fc9edf287b151a539025a0f758c01d16a188d3337c0afc89504f4c8","observation_id":"2c7cd213-aa61-43a0-83fc-aa177eb2dcf9","resolution":{"observed_at":"2026-08-07T05:31:50.762334Z","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":"2026-08-07T05:31:56.342043Z","title":"Unsupervised cross-lingual representation learning at scale","venue":null,"work_id":"ba182341-1a22-485e-bff5-5d4ba6e1b72d","year":2019},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.811244Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:d42ae0504c4c203d7f7bec935d54938258a214c3a35ceceb5110b9971a03dac0","observation_id":"520d65f0-4b99-4d75-a8cb-f9ded3c3d50d","resolution":{"observed_at":"2026-08-07T05:31:56.440564Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:56.202620Z","title":"Command r +, 2024","venue":null,"work_id":"5cbd1189-7fae-41ab-ab47-e2b690bc4a62","year":2024},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.913750Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:6bebd0ffa2cfa0142908fde185d83cf9d11d0694d3e13afd6fa67d4e2cd7b7fd","observation_id":"9efb2c49-8718-4600-89ac-d171f7d68c43","resolution":{"observed_at":"2026-08-07T05:31:56.270851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:50.961177Z","title":"Qwen2 technical report, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.961177Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:94652c5c58424486279a9bb14849fe6272a606e1768bf2a06d0496818b9129fd","observation_id":"ab00409d-a765-44c0-ab85-7562cdddffc7","resolution":{"observed_at":"2026-08-07T05:31:50.961177Z","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":"2026-08-07T05:31:56.082837Z","title":"Textbugger: Generating adversarial text against real-world applications","venue":null,"work_id":"43868e8d-1652-4cdc-8254-8006f64eabe6","year":2019},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.039595Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:2327637e36f1333ea18b473fad90eee2f39a0fa1368e66f786c2484884384f05","observation_id":"d911da25-be68-4681-ac4f-cec3cee70907","resolution":{"observed_at":"2026-08-07T05:31:56.115353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:51.109468Z","title":"Zico Kolter, and Matt Fredrikson","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.109468Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:cbcd7a017d89be1c41b2ecf4e2af141f6ac9de265c81d5498ef72d28ad7b7731","observation_id":"061bbeb1-a010-4f80-9e34-d7af884bcb74","resolution":{"observed_at":"2026-08-07T05:31:51.109468Z","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":"2026-08-07T05:31:55.914998Z","title":"Adversarial glue: A multi-task benchmark for robustness evaluation of language models","venue":null,"work_id":"32526342-a30c-431b-89db-8a098dd78315","year":2021},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.210837Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:d7211db5bb137f7455f87c284b20837967a59a78557a37d1190b30611281911e","observation_id":"8790b90f-0382-4bdd-8466-9fe2a9fb89bf","resolution":{"observed_at":"2026-08-07T05:31:55.960751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:55.766793Z","title":"Decodingtrust: A comprehensive assessment of trustworthiness in gpt models","venue":null,"work_id":"ee43010d-0ca9-41a0-add2-69327fa1e783","year":2023},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.274895Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:e909eb2f9a1109a44bbc45b1f786c0c03ec0325d11c4e7bf7febb9c1e99aa3df","observation_id":"d782fc8d-f70e-4391-867e-14dff1aa4d3a","resolution":{"observed_at":"2026-08-07T05:31:55.836210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:55.563236Z","title":"Deep inside convolutional networks: visualising image classification models and saliency maps","venue":null,"work_id":"565432b1-dee5-479b-b0e2-155016ff7b1e","year":2014},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.353581Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:dd131a6485f7f2288378c8b764742af31666589c0da2eb2c288dfadd1faef0f0","observation_id":"4d710b39-8dc0-4301-92fc-11298720ee4c","resolution":{"observed_at":"2026-08-07T05:31:55.707012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:55.402584Z","title":"A unified approach to interpreting model predictions.Advances in neural information processing systems, 30:4765–4774, 2017","venue":null,"work_id":"c1781f1c-9d85-47a6-9b8c-b337b739b176","year":2017},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.419557Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:47fd4a1b53cf59ff3eefcf4fefb44a990257cab70baa05ac689cde80c231665e","observation_id":"82d185ad-bddb-4010-9096-5e5b31a96d63","resolution":{"observed_at":"2026-08-07T05:31:55.497368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:55.245203Z","title":"why should i trust you?","venue":null,"work_id":"a1bba7dd-1f93-43c9-a7e2-eb8b6f444cb9","year":2016},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.511760Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:00373f6eec04814100de12da388b542b897636024a4d2339e604f365d71bd2ba","observation_id":"5bd1de35-5a22-4fd3-bef5-7754d2d6dc14","resolution":{"observed_at":"2026-08-07T05:31:55.348533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1605.01713","last_updated":"2017-04-11T15:58:48Z","snapshot_observed_at":"2026-07-06T04:55:16.805883Z","submitted_at":"2016-05-05T19:52:32Z","title":"Not Just a Black Box: Learning Important Features Through Propagating Activation Differences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.01713","snapshot_observed_at":"2026-08-07T05:31:51.614615Z","title":"Not just a black box: Learning important features through propagating activation differences.ArXiv, abs/1605.01713, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.614615Z"},"links":{"cited_paper":"/paper/1605.01713","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:ca44c065150ce7aa02adf8cf06d10aa1ff41b781c51492b9134e4bce03fb0282","observation_id":"64325dac-4991-4c87-9b3f-ed2d3dea7f14","resolution":{"observed_at":"2026-08-07T05:31:51.614615Z","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":"2026-08-07T05:31:55.143366Z","title":"Axiomatic attribution for deep networks","venue":null,"work_id":"344a07d8-a08d-416b-a5c3-bd7801b2a178","year":2017},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.686664Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:d60527bde05cb0c904bab0a2b18c83fb2ee1b64ae4bf915fb1ee21d04864829c","observation_id":"d71100d1-4b94-408f-b8f1-e95597503279","resolution":{"observed_at":"2026-08-07T05:31:55.187002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.03825","last_updated":"2017-06-12T19:53:30Z","snapshot_observed_at":"2026-07-06T05:46:32.599765Z","submitted_at":"2017-06-12T19:53:30Z","title":"SmoothGrad: removing noise by adding noise","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.03825","snapshot_observed_at":"2026-08-07T05:31:51.789088Z","title":"Viégas, and Martin Wattenberg","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.789088Z"},"links":{"cited_paper":"/paper/1706.03825","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:163201766de03ac573ce189b5d04bd709fed6e108a24b522f710f3c72dda4d60","observation_id":"0a8f3b63-2968-47ff-98b6-a2dec677041b","resolution":{"observed_at":"2026-08-07T05:31:51.789088Z","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":"2026-08-07T05:31:54.974270Z","title":"Quantifying attention flow in transformers","venue":null,"work_id":"ef240545-7d17-4eac-8df9-4825425989d4","year":2020},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:51.887643Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:09847e464a7e05c587b98d98fe0e2b53398cc8e9b325e5aec26c7017be840f6a","observation_id":"03d2b5f1-1aaa-4c82-8cb4-5f497f00d6f7","resolution":{"observed_at":"2026-08-07T05:31:55.043952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:54.848213Z","title":null,"venue":null,"work_id":"9bcc3484-a2c5-47a3-bfcc-6a903c946640","year":2021},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.014755Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:a06ef18be310bb955d43187401c9dc473e2b26487da55f37ad4cb3d4b7fab84b","observation_id":"6ac6f594-cb48-4528-8d52-7c735742f2fe","resolution":{"observed_at":"2026-08-07T05:31:54.916931Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:52.081039Z","title":"Transformer interpretability beyond attention visualization","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.081039Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:d33805d151bffd1906a65863416b79a9e7037aff4ece8ee09fbe96eabad3e24b","observation_id":"05941d96-703e-4298-9545-7f134d8218a6","resolution":{"observed_at":"2026-08-07T05:31:52.081039Z","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":"2026-08-07T05:31:54.667133Z","title":null,"venue":null,"work_id":"51f3a966-c56a-4446-8630-b595db95db0e","year":2020},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.170314Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:2a4b4f43f6864c6f0fbb1ff9d59e15668c60872c386a55890da6c09e0b4c65a7","observation_id":"676f16b6-9d68-4595-82c5-30213ecc561a","resolution":{"observed_at":"2026-08-07T05:31:54.793653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:54.503416Z","title":"HerBERT: Efficiently pretrained transformer-based language model for Polish","venue":null,"work_id":"10a6ad6e-3b30-491d-9e8f-e164751b8107","year":2021},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.241785Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:53b2b4aebd5feb8d5f236226b412d4c2af79d58c315b046808bda9e779b41a21","observation_id":"aa0759a2-3815-4780-a733-9d29ec8e95a4","resolution":{"observed_at":"2026-08-07T05:31:54.577546Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:54.344760Z","title":"Polbert: Attacking polish nlp tasks with transformers","venue":null,"work_id":"a26df35f-6134-4152-ab14-1ff8bbcf6736","year":2020},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.344804Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:892956580710bab665339297418afeeac58e3cbe37deaf119dfbc2dfa454b9b8","observation_id":"134639a1-038d-493a-acf8-5c0540e5a903","resolution":{"observed_at":"2026-08-07T05:31:54.436921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:54.237237Z","title":"Assessing generalization capability of text ranking models in polish,","venue":null,"work_id":"375f632f-ea08-41bd-8aad-9c275771eac2","year":null},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.411660Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:ec845aef354e04382046b10c5511219296e8a0ea89547933ff79fa6d826a43cc","observation_id":"084fd28a-2ccb-4c01-a893-002d81e697cd","resolution":{"observed_at":"2026-08-07T05:31:54.295432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:52.563257Z","title":"Bielik 7b v0","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.563257Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:423ed2bf72fdbd69e2c905f3c9aaa04faa2efc97dd4a09604e0946d5b1909743","observation_id":"0d9afd97-688d-428c-bb26-f0933bb5f6f5","resolution":{"observed_at":"2026-08-07T05:31:52.563257Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11235","last_updated":"2024-03-16T04:32:25Z","snapshot_observed_at":"2026-08-07T05:19:58.002826Z","submitted_at":"2023-09-20T11:54:40Z","title":"OpenChat: Advancing Open-source Language Models with Mixed-Quality Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11235","snapshot_observed_at":"2026-08-07T05:31:52.627591Z","title":"Openchat: Advancing open-source language models with mixed-quality data.arXiv preprint arXiv:2309.11235, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.627591Z"},"links":{"cited_paper":"/paper/2309.11235","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:4ead26e1d2388e002bcb49f7839400c3515b43742c67c718955701942fb636b6","observation_id":"c949ec37-2fa7-4bd4-84cd-846400d902ad","resolution":{"observed_at":"2026-08-07T05:31:52.627591Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.04528","last_updated":"2024-07-16T07:29:49Z","snapshot_observed_at":"2026-07-06T15:39:49.273453Z","submitted_at":"2023-06-07T15:37:00Z","title":"PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.04528","snapshot_observed_at":"2026-08-07T05:31:52.719510Z","title":"Promptbench: Towards evaluating the robustness of large language models on adversarial prompts.arXiv preprint arXiv:2306.04528, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.719510Z"},"links":{"cited_paper":"/paper/2306.04528","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:5951f0f0107d4c0efbb82159308d164016148a4d4bfabf13fda008ed90e832fd","observation_id":"a07116a8-6252-46a8-9d49-de7c94e931c5","resolution":{"observed_at":"2026-08-07T05:31:52.719510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.12095","last_updated":"2023-08-29T05:34:25Z","snapshot_observed_at":"2026-08-05T13:57:45.408890Z","submitted_at":"2023-02-22T11:01:20Z","title":"On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.12095","snapshot_observed_at":"2026-08-07T05:31:52.805313Z","title":"On the robustness of chatgpt: An adversarial and out-of-distribution perspective.arXiv preprint arXiv:2302.12095, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.805313Z"},"links":{"cited_paper":"/paper/2302.12095","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:6a1b68fe90ea14f57aa96cc9fddfa132557272f30cd160029dc704bb3f4f21ee","observation_id":"031ca908-b744-490f-b050-7b0ccbfccc79","resolution":{"observed_at":"2026-08-07T05:31:52.805313Z","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":"2026-08-07T05:31:54.097337Z","title":"Maziarz, Maciej Piasecki, and Ewa K","venue":null,"work_id":"b4d3e816-97f7-4afc-b56a-19766c7f1d9f","year":2014},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.881842Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:ebfe504a60cdb25f01860ad16d93a5c067670844b0f4dafa372af4f2a65fcc5d","observation_id":"1e2795de-e445-400b-868b-4dcd724c71fa","resolution":{"observed_at":"2026-08-07T05:31:54.178357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.00630","last_updated":"2020-05-01T21:55:40Z","snapshot_observed_at":"2026-07-06T09:16:59.519524Z","submitted_at":"2020-05-01T21:55:40Z","title":"KLEJ: Comprehensive Benchmark for Polish Language Understanding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.00630","snapshot_observed_at":"2026-08-07T05:31:52.962319Z","title":"Klej: Comprehensive benchmark for polish language understanding.arXiv preprint arXiv:2005.00630, 2020","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.962319Z"},"links":{"cited_paper":"/paper/2005.00630","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:0e4b36ad535f656e76d0a3477e3dd0fe8626f9af177b8a4d829ee44493443e84","observation_id":"b526d6b0-99d6-4bc3-aaf6-2db5d5d1ecf5","resolution":{"observed_at":"2026-08-07T05:31:52.962319Z","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":"2026-08-07T05:31:53.954087Z","title":"This is the way: designing and compiling lepiszcze, a comprehensive nlp benchmark for polish","venue":null,"work_id":"65ec04dd-dfa5-44ca-903d-eea649b874c6","year":2022},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:53.037139Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:194188d6f1e9af1833a08dc0d7177751ffe972e0331a977c09bc6a35b3cfe6d6","observation_id":"b77522c8-dffb-4987-8e05-59dedae8ba07","resolution":{"observed_at":"2026-08-07T05:31:54.021129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:53.820477Z","title":null,"venue":null,"work_id":"4867032d-1f2c-472f-9e97-0ac594e718e5","year":2019},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:53.093103Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:418634818ac950a554981f74207421c84c49495474014965e809d47763d262f3","observation_id":"b1548104-7518-4f9b-a2ee-2d03d8fbad11","resolution":{"observed_at":"2026-08-07T05:31:53.878229Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T05:31:53.717781Z","title":"Multi-level sentiment analysis of PolEmo 2.0: Extended corpus of multi-domain consumer reviews","venue":null,"work_id":"1720dd37-5c1a-468d-a065-d5211355870f","year":2019},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:53.169208Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:c6408fc26369d658539d406bd6bd99707057bc0c322475e15ccc2f19917a2bb5","observation_id":"0dfcd451-078c-4945-8501-ab3a93d71f72","resolution":{"observed_at":"2026-08-07T05:31:53.757806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-07T05:31:53.253028Z","title":"Mistral 7b.arXiv preprint arXiv:2310.06825, 2023","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:53.253028Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:5ca88d9ac54365eecb36507e62229f2b542ac4c6fac3fbd158a75ddce66fa86a","observation_id":"6bbc474a-cffd-4379-9cb7-697953d4241e","resolution":{"observed_at":"2026-08-07T05:31:53.253028Z","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":"2026-08-07T05:31:50.358904Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:50.358904Z"},"links":{"citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:91fc17cbe27b66ae9b129a1e2490b4f16a0a4bceee23123bd8df496300d75184","observation_id":"58f40129-988c-4afd-a6af-d427c95ca895","resolution":{"observed_at":"2026-08-07T05:31:50.358904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14318","last_updated":"2024-02-22T06:21:41Z","snapshot_observed_at":"2026-07-06T17:33:50.525062Z","submitted_at":"2024-02-22T06:21:41Z","title":"Assessing generalization capability of text ranking models in Polish","version":1},"cited_work":{"arxiv_id":"2402.14318","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.14318","snapshot_observed_at":"2026-08-07T05:31:53.516954Z","title":"Assessing generalization capability of text ranking models in Polish","venue":"cs.CL","work_id":"837115a3-722d-4419-8ab3-cac394c1a7d3","year":2024},"citing_paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T05:31:52.496436Z"},"links":{"cited_paper":"/paper/2402.14318","citing_paper":"/paper/2506.07645"},"observation_digest":"sha256:f4dbc47d3f6421b530cc1721429abd428e653cbe82bc920363d98bcc8b181975","observation_id":"33062dbf-f4cb-4e11-82e0-e56bc0ac1b54","resolution":{"observed_at":"2026-08-07T05:31:53.576927Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.07645","last_updated":"2025-06-09T11:09:39Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T05:26:31.212953Z","submitted_at":"2025-06-09T11:09:39Z","title":"Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":17,"verified_exact":1,"verified_fuzzy":22},"total_outbound_references":40},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2506.07645."}