{"as_of":"2026-08-11T20:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c69ab55292047f55b653d20e0c7da549ca8f8b71b872ebf8cba7f91ab8a57e7","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:49:54.474830Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-28T19:32:35.079980Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-08-11T14:49:54.474830Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.11618","last_updated":"2024-12-16T10:01:33Z","snapshot_observed_at":"2026-08-11T14:43:49.227939Z","submitted_at":"2024-12-16T10:01:33Z","title":"EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal Structure and Sequence Representations","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-11T14:49:54.474830Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2412.11618"},"observation_digest":"sha256:ee1a312eb98e41282fc42b1d8a9e02c5f2e26a9320ba97c595186aeb2613304d","observation_id":"699d5fb8-4d06-4703-92a0-18020799330a","resolution":{"observed_at":"2026-08-11T14:49:54.474830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-08-10T19:19:27.788057Z","title":"Protchatgpt: Towards understanding proteins with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.10282","last_updated":"2025-01-25T12:33:22Z","snapshot_observed_at":"2026-08-11T16:03:26.262754Z","submitted_at":"2025-01-17T16:21:18Z","title":"Computational Protein Science in the Era of Large Language Models (LLMs)","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-10T19:19:27.788057Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2501.10282"},"observation_digest":"sha256:7e136e0b3654f56018bae7747a524407839301aedeb2bdaf37303860f08cd2b9","observation_id":"24efa592-9b6c-4b4e-8ac6-8affe98f5d2e","resolution":{"observed_at":"2026-08-10T19:19:27.788057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-08-10T14:46:51.839938Z","title":"arXiv preprint arXiv:2402.09649","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15007","last_updated":"2025-01-25T00:59:12Z","snapshot_observed_at":"2026-08-10T17:00:36.765883Z","submitted_at":"2025-01-25T00:59:12Z","title":"Controllable Protein Sequence Generation with LLM Preference Optimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:46:51.839938Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2501.15007"},"observation_digest":"sha256:f4d3fc10476dace494f792214af7b49eb3619840d4ee94dc80baa85b6a86b551","observation_id":"fb677ba9-ae9c-42b3-9b21-79d1c0ef2116","resolution":{"observed_at":"2026-08-10T14:46:51.839938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-08-08T22:00:02.179368Z","title":"Protchatgpt: Towards understanding proteins with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06846","last_updated":"2025-05-22T09:43:36Z","snapshot_observed_at":"2026-08-10T01:40:37.952377Z","submitted_at":"2025-02-07T05:23:16Z","title":"Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T22:00:02.179368Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2502.06846"},"observation_digest":"sha256:eda610b56b2691ffc89df8a76ee5494ae3c7711d664f61d24a874c1aaff3f096","observation_id":"23c6492c-8145-4615-bef1-ec9a78220976","resolution":{"observed_at":"2026-08-08T22:00:02.179368Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-08-08T12:31:52.014784Z","title":"https://arxiv","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.07527","last_updated":"2025-06-20T05:18:13Z","snapshot_observed_at":"2026-08-09T17:43:38.820458Z","submitted_at":"2025-02-11T13:08:03Z","title":"Nature Language Model: Deciphering the Language of Nature for Scientific Discovery","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T12:31:52.014784Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2502.07527"},"observation_digest":"sha256:11e5818d8d700a0938a20c5e2bf2325cacb7fca7f19b8e0d1f9614954469d9c6","observation_id":"89b5a982-1da6-4474-8331-ccf74fe1bd99","resolution":{"observed_at":"2026-08-08T12:31:52.014784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.09649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-06-28T19:32:35.079980Z","title":"ProtChatGPT: towards understanding proteins with large language models","venue":null,"work_id":"bd08e09f-10fc-44ad-98e1-909fbd30435e","year":2024},"citing_paper":{"arxiv_id":"2506.03800","last_updated":"2026-05-13T10:54:43Z","snapshot_observed_at":"2026-07-31T18:54:59.445111Z","submitted_at":"2025-06-04T10:09:15Z","title":"STELLA: A Multimodal LLM for Protein Functional Annotation via Unified Sequence-Structure Encoding","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-19T12:04:52.231238Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2506.03800"},"observation_digest":"sha256:748e9c0d61d8058c88bfb0728a07ec0926c992fe141da61f7629d0700de07966","observation_id":"c900b4a0-cec2-471a-b692-e3a249d03686","resolution":{"observed_at":"2026-05-19T12:07:20.949373Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-08-03T23:59:56.735847Z","title":"Protchatgpt: Towards understanding proteins with large language models.arXiv preprint arXiv:2402.09649, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.03354","last_updated":"2026-07-23T13:45:54Z","snapshot_observed_at":"2026-08-09T18:58:45.955536Z","submitted_at":"2025-11-05T10:48:36Z","title":"Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T23:59:56.735847Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2511.03354"},"observation_digest":"sha256:207a56a011f224354bf3f93019ddfa82a98b20d0efa13d1d934da2b534b246e8","observation_id":"c43e7de3-3506-4731-b4be-c25d04985448","resolution":{"observed_at":"2026-08-03T23:59:56.735847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.09649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-06-28T19:32:35.079980Z","title":"ProtChatGPT: towards understanding proteins with large language models","venue":null,"work_id":"bd08e09f-10fc-44ad-98e1-909fbd30435e","year":2024},"citing_paper":{"arxiv_id":"2605.21522","last_updated":"2026-05-19T04:14:06Z","snapshot_observed_at":"2026-08-03T10:51:29.183905Z","submitted_at":"2026-05-19T04:14:06Z","title":"Protein Thoughts: Interpretable Reasoning with Tree of Thoughts and Embedding-Space Flow Matching for Protein-Protein Interaction Discovery","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-22T02:10:15.644360Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2605.21522"},"observation_digest":"sha256:cf9124d56b25caad76a3294b84668c225804a42758d48c920d59f5bde880a29c","observation_id":"1b90b357-9680-436b-a7c2-e0207ea23d92","resolution":{"observed_at":"2026-05-22T02:10:55.978714Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models","version":2},"cited_work":{"arxiv_id":"2402.09649","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.09649","snapshot_observed_at":"2026-06-28T19:32:35.079980Z","title":"ProtChatGPT: towards understanding proteins with large language models","venue":null,"work_id":"bd08e09f-10fc-44ad-98e1-909fbd30435e","year":2024},"citing_paper":{"arxiv_id":"2606.00451","last_updated":"2026-05-30T00:42:38Z","snapshot_observed_at":"2026-08-08T17:46:30.298132Z","submitted_at":"2026-05-30T00:42:38Z","title":"ProtStructQA: A Denotation Threshold in Protein Structural Reasoning","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-06-28T19:26:00.817333Z"},"links":{"cited_paper":"/paper/2402.09649","citing_paper":"/paper/2606.00451"},"observation_digest":"sha256:6e417b53afe1dbb882bff0200ea604290728fdae82b3efeb65333cbe0c53125d","observation_id":"4bbb2143-6120-4279-9715-b3ffcfb55c30","resolution":{"observed_at":"2026-06-28T19:32:35.081609Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.09649/citation-record","integrity":"/paper/2402.09649/integrity","json":"/paper/2402.09649/citation-record.json","paper":"/paper/2402.09649"},"outbound":[],"paper":{"arxiv_id":"2402.09649","last_updated":"2025-01-23T06:30:10Z","latest_version":2,"primary_category":"cs.CE","snapshot_observed_at":"2026-08-11T15:27:42.834721Z","submitted_at":"2024-02-15T01:22:30Z","title":"ProtChatGPT: Towards Understanding Proteins with Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.09649."}