{"as_of":"2026-08-08T15:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:69af5affa1fff9f92a50807d93ec803de00c98e3c0316f2ae5e39f7bc4d2531c","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:24:26.323698Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2505.23823/citation-record","integrity":"/paper/2505.23823/integrity","json":"/paper/2505.23823/citation-record.json","paper":"/paper/2505.23823"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T13:24:24.091765Z","title":"Gpt-4 technical report.arXiv preprint arXiv:2303.08774, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.091765Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:1f8c1da674da93dc8b29efb166c65759813678f637fed8a25ce45a15247ecfcc","observation_id":"9f45aacd-f014-4d66-aa71-d681d6bbc32d","resolution":{"observed_at":"2026-08-07T13:24:24.091765Z","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":"2026-08-07T13:24:29.637938Z","title":"Gemini: Google’s large language models.https://gemini.google.com/,","venue":null,"work_id":"d53e07b0-350c-4f61-b66e-082eb74b4a14","year":null},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.152896Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:35c8f9c4db9fb0b925020b05d5fd827dc9cd334184c9061bbde5848cf9fdcbc7","observation_id":"3492f0da-b9ee-4a5e-bff3-34c754cca85d","resolution":{"observed_at":"2026-08-07T13:24:29.697904Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:29.268273Z","title":"Gemini 2.0 flash | generative ai on vertex ai, February 2025","venue":null,"work_id":"21c3d534-59a0-4ed4-b899-4a599014a17d","year":2025},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.333245Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:4a85e260db143add48826629095f0eabdf02357d59ba783aff986dc6ba4f53e5","observation_id":"535cdf4c-2738-4c84-8e14-d34073111f33","resolution":{"observed_at":"2026-08-07T13:24:29.392938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:29.023200Z","title":"Deepseek-v3","venue":null,"work_id":"6805df12-c3b9-4a37-935f-4826e6d682f6","year":2024},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.400974Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:cce2ee51fa65087b055ef20bbf1c1ca369fe5e98f498b20237ec7bf3daf36eb1","observation_id":"51410d72-bad7-4578-bcfb-9c817d216e06","resolution":{"observed_at":"2026-08-07T13:24:29.158479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:28.854882Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"712e05b0-d7bd-49a4-be26-c5112b24fe51","year":2019},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.457569Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:1afe759f73016d0787abe23d7c2c3d175c33693ecdaa2cc4a1703a9ce79c2470","observation_id":"7386f517-7b6e-4f93-8811-6b437773b33c","resolution":{"observed_at":"2026-08-07T13:24:28.927843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:28.730086Z","title":"Drug discovery: a historical perspective.science, 287(5460):1960–1964, 2000","venue":null,"work_id":"6a934f12-1ffc-4966-8a0e-f9b29c863fc7","year":1960},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.533561Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:35efc1592ba962e61795f2f64887b38e107b7a65fbdf780b730c4b4ae4a5b66f","observation_id":"122eb2f5-86df-4f20-9375-587d0ec45c52","resolution":{"observed_at":"2026-08-07T13:24:28.800651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:28.598573Z","title":"Accelerating therapeutics for opportunities in medicine: a paradigm shift in drug discovery.Frontiers in pharmacology, 11:770, 2020","venue":null,"work_id":"3084322c-fd38-4534-ad02-29eaf0a40eed","year":2020},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.616438Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:1af217d4c60d18d610130c793100c5edb0b6b7513b952c20387a2e5065ebcfef","observation_id":"3d957dc7-f359-478d-b41a-2654569ad48a","resolution":{"observed_at":"2026-08-07T13:24:28.645259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:24.698824Z","title":"Survey of hallucination in natural language generation","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.698824Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:da154821c703bd3c469e3379b8ffbeb9661e748862e9da66a48f2a0709a1d6f8","observation_id":"2934ec8b-b5d3-40e6-a4e6-cdd50a4955ff","resolution":{"observed_at":"2026-08-07T13:24:24.698824Z","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":"2026-08-07T13:24:28.446727Z","title":"Genegpt: Augmenting large language models with domain tools for improved access to biomedical information","venue":null,"work_id":"eb683a56-4610-4740-9497-b62c50a00108","year":2024},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.769063Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:452581938e4146538fb81bd07557b2a4d275d7b9dbb27aa4c7d9bbf76c13366f","observation_id":"19cf8a96-9a5a-4dff-a94c-7b2b15d923fa","resolution":{"observed_at":"2026-08-07T13:24:28.514245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.00172","last_updated":"2020-02-15T01:04:52Z","snapshot_observed_at":"2026-07-06T08:33:58.970043Z","submitted_at":"2019-11-01T01:09:53Z","title":"Generalization through Memorization: Nearest Neighbor Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.00172","snapshot_observed_at":"2026-08-07T13:24:24.830772Z","title":"Generalization through memorization: Nearest neighbor language models.arXiv preprint arXiv:1911.00172, 2019","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.830772Z"},"links":{"cited_paper":"/paper/1911.00172","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:43531373d9850fe44763e76354cc5b3b197ec62e8d92a963fb6abf88b191180f","observation_id":"e3ca7b7a-8267-4132-92a4-1ec7e260d430","resolution":{"observed_at":"2026-08-07T13:24:24.830772Z","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":"2026-08-07T13:24:28.350089Z","title":"Jsl-medllama-3-8b-v2.0, 2024","venue":null,"work_id":"83ade5f0-d192-4bb9-884f-f95a0ce6b055","year":2024},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.897699Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:b1e03c749ec497d282ca8b024e14ba06ae5fc2aac4bb0fc20f635907f1f3af6a","observation_id":"42febe10-3667-4721-a14c-fadfc2cd9e49","resolution":{"observed_at":"2026-08-07T13:24:28.395873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:24.964176Z","title":"Retrieval-augmented generation for knowledge-intensive nlp tasks.Advances in Neural Information Processing Systems, 33:9459–9474, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.964176Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:5cd441f2f8965f3af9cf4f14fa12fb45c088600626dcd780ffac4892ba04c427","observation_id":"446c00f6-d223-4ce7-aa54-2c5a6917720f","resolution":{"observed_at":"2026-08-07T13:24:24.964176Z","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":"2026-08-07T13:24:28.161861Z","title":"Understand the dynamic world: An end-to-end knowledge informed framework for open domain entity state tracking","venue":null,"work_id":"333908f8-d87b-4f19-b09a-76fe450bc20a","year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.042329Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:1f66459c81ac2843216b6e025f3765847ac2c2d1723d4024e869f69ace177cdf","observation_id":"591a3c72-70b3-4a57-ad1d-e3027bdaff94","resolution":{"observed_at":"2026-08-07T13:24:28.254839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.16382","last_updated":"2025-01-24T18:16:53Z","snapshot_observed_at":"2026-07-06T20:27:00.165620Z","submitted_at":"2025-01-24T18:16:53Z","title":"GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration","version":1},"cited_work":{"arxiv_id":"2501.16382","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.16382","snapshot_observed_at":"2026-08-07T13:24:26.418043Z","title":"GraPPI: A Retrieve-Divide-Solve GraphRAG Framework for Large-scale Protein-protein Interaction Exploration","venue":"q-bio.QM","work_id":"27e0bd61-3783-4ebd-8785-ae74e7dd02aa","year":2025},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.126135Z"},"links":{"cited_paper":"/paper/2501.16382","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:e28ddf963d1d646c71d700e08b0de15ae8f01712a1af378d9aef72dbe365d932","observation_id":"2346e570-5ff9-4d55-a65e-bc4ae44758c3","resolution":{"observed_at":"2026-08-07T13:24:26.469494Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:25.199362Z","title":"Rouge: A package for automatic evaluation of summaries","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.199362Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:0dca42e8ed3bb368e5431b40145842629883a876b344c093614d3ff3b9907395","observation_id":"89e89ad2-aa71-4de3-a8fc-4f303378668d","resolution":{"observed_at":"2026-08-07T13:24:25.199362Z","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":"2026-08-07T13:24:28.016581Z","title":"What is retrieval-augmented generation? IBM Research Blog, 22, 2023","venue":null,"work_id":"e010d8e8-8b7c-4413-99cb-3e77af5d6d38","year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.263753Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:61e220c30f4b41511343bb637634c04f9b7a84f0a8e10b716a680de3a993b296","observation_id":"17e35d28-ef96-4bcb-a889-671a887b2491","resolution":{"observed_at":"2026-08-07T13:24:28.089153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14251","last_updated":"2023-10-11T05:27:50Z","snapshot_observed_at":"2026-08-01T16:29:58.693560Z","submitted_at":"2023-05-23T17:06:00Z","title":"FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14251","snapshot_observed_at":"2026-08-07T13:24:25.320503Z","title":"Factscore: Fine-grained atomic evaluation of factual precision in long form text generation.arXiv preprint arXiv:2305.14251, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.320503Z"},"links":{"cited_paper":"/paper/2305.14251","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:c78128d045d9d7dff769a9d2e2f5e9554cc41d4822298587a1ab0f1172930a03","observation_id":"cafb7291-85d8-4f0c-9417-96028d2f73c2","resolution":{"observed_at":"2026-08-07T13:24:25.320503Z","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":"2026-08-07T13:24:27.823272Z","title":"Chatgpt: Optimizing language models for dialogue.https://openai.com/ chatgpt, 2023","venue":null,"work_id":"92df3d02-6572-4f7c-800c-bbe77ba534f5","year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.397019Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:e8c28afde72fd3d1036643c25f73f84e2139a2ada86d98f5a3944a90ded90afc","observation_id":"7d3d3514-15a6-4591-a5e5-1e93a0bf354d","resolution":{"observed_at":"2026-08-07T13:24:27.916992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:27.677813Z","title":"Introducing gpt-4.1 in the api, April 2025","venue":null,"work_id":"9295f0bd-7a7e-4f01-bc56-e965496f7c05","year":2025},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.501913Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:d8071bdbfaf4426946ba60b88b1c605f5e023a45aef15c3d6b73566a2044510f","observation_id":"769d53d3-59e2-4517-96d5-722fe91d9b04","resolution":{"observed_at":"2026-08-07T13:24:27.757321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:27.515427Z","title":"The biogrid database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions.Protein Science, 30(1):187–200, 2021","venue":null,"work_id":"b38bf4af-eaf9-4997-9723-dace8c3dfbc5","year":2021},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.570174Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:ca34e7e943a4dfc4eec1b82db88a327b6d7b1117a104c605c7d181bec2410824","observation_id":"dadf910d-3c2c-47f0-86cd-799143faf75f","resolution":{"observed_at":"2026-08-07T13:24:27.592941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:27.382964Z","title":"Target identification approaches in drug discovery","venue":null,"work_id":"8bca26b7-1437-4d94-a9e3-b2573980c00b","year":2022},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.635344Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:88c245c3ca534f621f008a1f2c01dfd49fdb65241e417b9595e5bfcfaee95826","observation_id":"f7c8d489-9ed3-4ddd-9acf-13f4bdd6f1fd","resolution":{"observed_at":"2026-08-07T13:24:27.451063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:27.231044Z","title":"Druggen: Advancing drug discovery with large language models and reinforcement learning feedback, 2024","venue":null,"work_id":"72e3b76a-7f27-4821-ac4b-45d6882ff790","year":2024},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.709784Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:7f1c0b85b5074902c9b9159dd6ae3d5114fd21dbecb4b0eb852c06431061f482","observation_id":"0f71f2dd-73ab-44b7-b2a4-2559c034f4cf","resolution":{"observed_at":"2026-08-07T13:24:27.303478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:27.091476Z","title":"Proteoform: a single term describing protein complexity","venue":null,"work_id":"986b484a-56fa-4820-bc90-5f47e1bbf108","year":2013},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.772711Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:601879227d13ea3760d53036934212f4c8f8fa3264c7ac93b840b78b1bf62de9","observation_id":"83640ca3-4cd3-4781-a68f-be72aeb7b87c","resolution":{"observed_at":"2026-08-07T13:24:27.166325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:26.984010Z","title":null,"venue":null,"work_id":"b13f0eee-0d02-41a3-a077-83f6bb6e5909","year":2021},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.859926Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:aa2817f6d7eeaf49c0f2d47c1a570f25ceb7a4599b3a30e47e230c624437dbda","observation_id":"9eeccf68-818c-416d-9363-e08e1539d68f","resolution":{"observed_at":"2026-08-07T13:24:27.030845Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:25.933388Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:25.933388Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:bcf76504c2320afc9d83e957f434e2cbfc9ea879200bccb93476583d322c2d35","observation_id":"7d81da2a-02ad-4c7c-96ea-1a14ccd59151","resolution":{"observed_at":"2026-08-07T13:24:25.933388Z","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":"2026-08-07T13:24:26.832431Z","title":"Llama: Open and efficient foundation language models.https: //github.com/facebookresearch/llama, 2023","venue":null,"work_id":"6e18251f-ef65-4005-9f47-f8c5e95f0bf8","year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:26.002936Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:2eb7f3d090d10a07ebf3cb90350be54e2539957c136d94df24ab3caf36e82d78","observation_id":"3811d548-69f8-4726-9ccc-82527f0ec611","resolution":{"observed_at":"2026-08-07T13:24:26.889255Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:26.710014Z","title":"Estimated research and de- velopment investment needed to bring a new medicine to market, 2009-2018.Jama, 323(9):844–853, 2020","venue":null,"work_id":"93ab4703-b6ca-4bc9-bbcf-b5fa3aef395c","year":2009},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:26.062191Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:a1fc74ed131b613cba50d190c8561933136b297031b1ed5fa737197d8a1da0fb","observation_id":"758af260-172d-4f8b-9793-d27b72a927bb","resolution":{"observed_at":"2026-08-07T13:24:26.779533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T13:24:26.561164Z","title":"Grok-2-1212","venue":null,"work_id":"afab8ef6-6341-4cc4-8a60-12715e9d5cd4","year":2024},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:26.148149Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:17a40ef480f1e60dfea8cdda0d9bed1001f412cb3c36a9531b51a41177db8c3c","observation_id":"d80a01f8-a06c-477f-96e0-5617659504e7","resolution":{"observed_at":"2026-08-07T13:24:26.634483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13669","last_updated":"2024-06-13T03:44:03Z","snapshot_observed_at":"2026-08-05T08:47:31.549852Z","submitted_at":"2023-05-23T04:22:50Z","title":"The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13669","snapshot_observed_at":"2026-08-07T13:24:26.205642Z","title":"The knowledge alignment problem: Bridging human and external knowledge for large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:26.205642Z"},"links":{"cited_paper":"/paper/2305.13669","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:ace1d6d69d04421bc19e851abb903c9e13f3512daaffff3d448807e6f77aa4cd","observation_id":"8a29e5f0-ea98-49f7-bbaa-bcbbc46285e5","resolution":{"observed_at":"2026-08-07T13:24:26.205642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-07T13:24:26.280972Z","title":"Bertscore: Evaluating text generation with bert.arXiv preprint arXiv:1904.09675, 2019","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:26.280972Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:9f893229bffdbdae7d48b9a5f8c650dee950c1c5942fd9e29350713cb8301a6e","observation_id":"395e563c-30d2-4a3e-befa-b9eb06655b7a","resolution":{"observed_at":"2026-08-07T13:24:26.280972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.01219","last_updated":"2025-09-14T09:34:46Z","snapshot_observed_at":"2026-07-06T16:13:46.112815Z","submitted_at":"2023-09-03T16:56:48Z","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.01219","snapshot_observed_at":"2026-08-07T13:24:26.323698Z","title":"Which proteins are involved in the protein-protein interactions (PPIs) described in the abstract?","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:26.323698Z"},"links":{"cited_paper":"/paper/2309.01219","citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:e9718d4a2c74ef38796b9b85ec10eb9d706c7f77881300aba751251b88e51402","observation_id":"3038312e-e967-49c5-a8a6-e120f76914d7","resolution":{"observed_at":"2026-08-07T13:24:26.323698Z","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":"2026-08-07T13:24:29.500395Z","title":null,"venue":null,"work_id":"18f9ee6c-a1e5-44de-9a5a-8d99d4fa5f09","year":2024},"citing_paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T13:24:24.229219Z"},"links":{"citing_paper":"/paper/2505.23823"},"observation_digest":"sha256:6c26e88c72d0724831f34afba39c79c3222dda18b1b9ecb408f01420f20fc72f","observation_id":"964b82aa-467b-46a5-b0d2-78a275fc8ae5","resolution":{"observed_at":"2026-08-07T13:24:29.549278Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23823","last_updated":"2026-06-11T00:54:15Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T13:15:40.446435Z","submitted_at":"2025-05-28T05:48:25Z","title":"RAGPPI: RAG Benchmark for Protein-Protein Interactions in Drug Discovery"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":11,"verified_exact":1,"verified_fuzzy":19},"total_outbound_references":32},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.23823."}