{"as_of":"2026-08-08T04:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a0335e8a4d4b7d6486c0830454f72ac948f95095d0264802dfc6aad8fdc5a19c","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":"2026-08-06T23:27:27.552923Z","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":"2026-08-07T06:34:17.273281+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/2506.18091/citation-record","integrity":"/paper/2506.18091/integrity","json":"/paper/2506.18091/citation-record.json","paper":"/paper/2506.18091"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:27:27.498340Z","title":"In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.498340Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:6e5b607536684d69907f6e8bb71b20bf80742fd2f7183743ba2e89a0323f0349","observation_id":"e4654bc3-57c7-4992-83a8-9abe2ac7096c","resolution":{"observed_at":"2026-08-06T23:27:27.498340Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15032","last_updated":"2024-05-31T14:47:55Z","snapshot_observed_at":"2026-07-06T18:19:00.169416Z","submitted_at":"2024-05-23T20:10:38Z","title":"Aya 23: Open Weight Releases to Further Multilingual Progress","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.15032","snapshot_observed_at":"2026-08-06T23:27:27.502508Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.502508Z"},"links":{"cited_paper":"/paper/2405.15032","citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:29c2e9985ec061b61e76657a70906b7a196fc56e6dc867ac7b8b10ec065f891e","observation_id":"8e2925e9-bc9d-4287-b42d-efe9d8b64405","resolution":{"observed_at":"2026-08-06T23:27:27.502508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T23:27:27.507459Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.507459Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:2e2379b8f6f9d7b20e427fa229722847e16951282d207cc7083fe4c304f58d76","observation_id":"020714dc-96db-44d6-b3c7-0ab61cc830b2","resolution":{"observed_at":"2026-08-06T23:27:27.507459Z","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":"2026-08-06T23:27:27.709754Z","title":null,"venue":null,"work_id":"0ebe8040-a006-485c-8a91-6285e6269a9b","year":2020},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.512125Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:45f658be7a85682e99a7011c75aa16483f085aee64706d5024c25e61e79b926c","observation_id":"7401a88c-715b-43f3-830e-e14b213e4c00","resolution":{"observed_at":"2026-08-06T23:27:27.713844Z","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":"2026-08-06T23:27:27.698470Z","title":null,"venue":null,"work_id":"808c40dc-98cd-47be-8a20-729e909a4d00","year":2018},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.516761Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:b6c03c23aa2d8a381f8f5a055bcb066a86ab095b6cb23e905b07dd1fb0232a5d","observation_id":"fcb50a9b-4275-432e-b7f8-29e8b8537a35","resolution":{"observed_at":"2026-08-06T23:27:27.702413Z","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":"2026-08-06T23:27:27.686827Z","title":"In: Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguisticsfor Cultural Heritage,Social Sciences,Hu- manities and Literature (LaTeCH-CLfL 2024)","venue":null,"work_id":"7b2eec7b-a6ab-4c39-bc23-9ae9cdcc6526","year":2024},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.521174Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:c81df054e0e9a2079fc4b098cfe217edc5dd5a6a57c1955f47c32fc29daa1759","observation_id":"1e602063-98fd-4507-b90c-26b8111a1288","resolution":{"observed_at":"2026-08-06T23:27:27.690564Z","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":"2026-08-06T23:27:27.675332Z","title":"In: In- ternational Conference on Learning Representations (2022),https://openreview","venue":null,"work_id":"a30803af-911c-4d70-b830-7c29a2637e0b","year":2022},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.525133Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:a075653c6375e80ded5cd4d35fe40502147848a1dbe4db02806b0b6ef7e82b61","observation_id":"81f01253-8192-4eec-9a69-c5918bc13564","resolution":{"observed_at":"2026-08-06T23:27:27.679245Z","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":"2026-08-06T23:27:27.529174Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.529174Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:b16ece349214774d35e0b87a120d3c9feca9f6c4f6f2c8633bbff77b4c311b1e","observation_id":"f8af68d9-daf8-4771-b0bf-9bcfc252005b","resolution":{"observed_at":"2026-08-06T23:27:27.529174Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14489","last_updated":"2023-11-15T04:51:27Z","snapshot_observed_at":"2026-08-07T00:23:52.751918Z","submitted_at":"2023-05-23T19:38:28Z","title":"Are Large Language Models Robust Coreference Resolvers?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14489","snapshot_observed_at":"2026-08-06T23:27:27.532894Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.532894Z"},"links":{"cited_paper":"/paper/2305.14489","citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:14f66bd8f481beca71a30b22c0ce9638bfea9ae65f7f8b3da804a85be43d29aa","observation_id":"ea913659-f049-4505-860f-c231e98af6eb","resolution":{"observed_at":"2026-08-06T23:27:27.532894Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-06T23:27:27.536705Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.536705Z"},"links":{"cited_paper":"/paper/2408.00118","citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:4615d4687bea0ac526ba2a82fa17d2ac49b954bbb3ef297852be79999d9b8fbb","observation_id":"c0dfd6f8-cb20-4392-abca-f1014806099c","resolution":{"observed_at":"2026-08-06T23:27:27.536705Z","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":"2026-08-06T23:27:27.664835Z","title":null,"venue":null,"work_id":"1140dd4a-ccef-4bff-93c2-a178aaed002c","year":2024},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.540647Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:f2cc41ca5bf2c6b4274074fb9bce0fb38fe34dcdfcd67831bf9624bfb65ec9f8","observation_id":"243fc0c4-3086-4ede-b19d-b1fbdbb99ea4","resolution":{"observed_at":"2026-08-06T23:27:27.668462Z","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":"2026-08-06T23:27:27.653995Z","title":"Journal of machine learning research21(140), 1–67 (2020)","venue":null,"work_id":"d8fb3276-664e-490c-ab7a-f7f816e8942d","year":2020},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.544585Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:461d1275e004003474a7126a8d7a8bf65efd32311e5565f136116e382b52d6dd","observation_id":"028ae2b0-3815-468d-8ee1-fe1b8e82eacf","resolution":{"observed_at":"2026-08-06T23:27:27.658065Z","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":"2026-08-06T23:27:27.641312Z","title":"In: Proceedings of the CoNLL 2018 shared task: Multilingual parsing from raw text to universal dependencies","venue":null,"work_id":"8836d1db-872b-4a44-b769-f773a0f33d86","year":2018},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.549458Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:60ea0c5aa47189cbe0b32b71b83be03facc622bec78e09b07ba061106bfac501","observation_id":"eb87635e-4b81-4798-b990-ad1ae4d8f514","resolution":{"observed_at":"2026-08-06T23:27:27.646355Z","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":"2026-08-06T23:27:27.552923Z","title":"In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:27:27.552923Z"},"links":{"citing_paper":"/paper/2506.18091"},"observation_digest":"sha256:366a3de5564dc3b961632bce16d61cf0885b6256b630e243302cb5b48c0abf0e","observation_id":"79dc20e4-27e3-45f3-af38-35125ec541bf","resolution":{"observed_at":"2026-08-06T23:27:27.552923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.18091","last_updated":"2025-06-22T16:32:57Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T23:21:00.504831Z","submitted_at":"2025-06-22T16:32:57Z","title":"Evaluating Prompt-Based and Fine-Tuned Approaches to Czech Anaphora Resolution"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":4},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.18091."}