{"as_of":"2026-08-12T17:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e5f6f7851b4dfeb092dc676456e7bde2052b613c9e0de492bfce807ff873dda0","coverage":[{"denominator":7,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:08:58.135807Z","state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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":"2026-08-01T17:08:05.347949Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.06277","snapshot_observed_at":"2026-08-01T17:08:05.347949Z","title":"Environmental large language model evaluation (ELLE) dataset: A benchmark for evaluating generative AI applications in eco-environment domain","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17745","last_updated":"2026-07-20T09:39:56Z","snapshot_observed_at":"2026-08-12T01:18:28.988628Z","submitted_at":"2026-07-20T09:39:56Z","title":"WuYu-EnvLE-Bench: A Benchmark for Evaluating Large Language Models in Environmental Law Enforcement","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T17:08:05.347949Z"},"links":{"cited_paper":"/paper/2501.06277","citing_paper":"/paper/2607.17745"},"observation_digest":"sha256:ef93d919c6e029136b466040f64db2ca1c7a44be7bb0d3ff567733e5fa84bd92","observation_id":"e0e42dc6-3001-4f04-830e-7d735cc3f84e","resolution":{"observed_at":"2026-08-01T17:08:05.347949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.06277/citation-record","integrity":"/paper/2501.06277/integrity","json":"/paper/2501.06277/citation-record.json","paper":"/paper/2501.06277"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:08:58.228799Z","title":"foundation models,","venue":null,"work_id":"28318ccb-ad8b-430a-b4d1-7e565b8ba4a0","year":2023},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.045633Z"},"links":{"citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:6c9138135fa00cbee84e90e4af17d349860e59d97421d2ca027688f3dccfcd0b","observation_id":"e7ce40c8-0495-4e8b-8e85-7d0b86628438","resolution":{"observed_at":"2026-08-10T21:08:58.234436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.10373","last_updated":"2024-07-17T09:34:00Z","snapshot_observed_at":"2026-08-02T05:31:09.782791Z","submitted_at":"2024-02-15T23:39:04Z","title":"BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10373","snapshot_observed_at":"2026-08-10T21:08:58.056278Z","title":"arXiv preprint arXiv:2402.10373","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.056278Z"},"links":{"cited_paper":"/paper/2402.10373","citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:9628419b0beb783c2132e0de0cabbc7c4edba3d7182e6d68b6dc4b83c4835995","observation_id":"5fd2a746-8723-4c2e-9ee2-c48677a4bb5a","resolution":{"observed_at":"2026-08-10T21:08:58.056278Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.13018","last_updated":"2025-02-17T18:51:33Z","snapshot_observed_at":"2026-08-12T05:12:05.113877Z","submitted_at":"2024-12-17T15:38:42Z","title":"OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.13018","snapshot_observed_at":"2026-08-10T21:08:58.062692Z","title":"arXiv preprint arXiv:2412.13018","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.062692Z"},"links":{"cited_paper":"/paper/2412.13018","citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:fa66c649268c2512b62670c36c12997796511e8235b30a6b79fa85c830af9a60","observation_id":"ef9eabaa-0f8a-49f8-964c-5c8326d2b417","resolution":{"observed_at":"2026-08-10T21:08:58.062692Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.17161","last_updated":"2024-02-27T02:47:50Z","snapshot_observed_at":"2026-08-12T05:11:39.208095Z","submitted_at":"2024-02-27T02:47:50Z","title":"Large Language Model for Participatory Urban Planning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.17161","snapshot_observed_at":"2026-08-10T21:08:58.135807Z","title":"arXiv preprint arXiv:2402.17161","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.135807Z"},"links":{"cited_paper":"/paper/2402.17161","citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:92627654c0130c119686805dd0dcbb1f48933074e9f7b3c4e19b85dc1fbf15e0","observation_id":"a2912db0-2e2d-4bbf-9732-8689ff234535","resolution":{"observed_at":"2026-08-10T21:08:58.135807Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-08-12T05:09:19.304376Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-08-10T21:08:58.129896Z","title":"arXiv preprint arXiv:2307.15020","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.129896Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:6730f51f9aa9e1d5237ddc16896cf4fa055371d0a16e7e9d20b2c18dedd3ff89","observation_id":"86462444-67fc-478b-a60c-bc8376aa2536","resolution":{"observed_at":"2026-08-10T21:08:58.129896Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.02262","last_updated":"2024-12-03T08:34:42Z","snapshot_observed_at":"2026-08-12T05:10:20.023157Z","submitted_at":"2024-12-03T08:34:42Z","title":"Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation","version":1},"cited_work":{"arxiv_id":"2412.02262","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.02262","snapshot_observed_at":"2026-08-10T21:08:58.212497Z","title":"Composing Open-domain Vision with RAG for Ocean Monitoring and Conservation","venue":"cs.CV","work_id":"2f72992e-b3ba-40de-95e7-25bd553e66b6","year":2024},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.050673Z"},"links":{"cited_paper":"/paper/2412.02262","citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:918187844ad749c52fd2d6832ca95732865d3e8d9545fe753c75d7085b0a4ace","observation_id":"c067fa4c-c462-4a07-b63b-423631a37309","resolution":{"observed_at":"2026-08-10T21:08:58.219723Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T21:08:58.243660Z","title":null,"venue":null,"work_id":"d405e474-97ea-463b-9bf1-09d86defcba4","year":2025},"citing_paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-10T21:08:58.038493Z"},"links":{"citing_paper":"/paper/2501.06277"},"observation_digest":"sha256:004c6e64cefce602005c760d560d0a8202f4f7d5863f01f4bc209fb4aaed4593","observation_id":"b2a78275-772d-4111-b523-bb9a91c5ac60","resolution":{"observed_at":"2026-08-10T21:08:58.248079Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.06277","last_updated":"2025-01-10T12:48:29Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T05:09:38.806331Z","submitted_at":"2025-01-10T12:48:29Z","title":"Environmental large language model Evaluation (ELLE) dataset: A Benchmark for Evaluating Generative AI applications in Eco-environment Domain"},"reference_resolution":{"displayed":7,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":1},"total_outbound_references":7},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 1 inbound Pith citation observation for arXiv:2501.06277."}