{"as_of":"2026-08-13T22:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4099688cb71c20cea458a176572e6bfae3a273d5c9719b1c1531ddcddfab12be","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:34:31.785572Z","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":"2026-05-18T06:15:58.010938Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.17967","last_updated":"2025-04-24T22:27:50Z","snapshot_observed_at":"2026-08-12T07:23:07.417746Z","submitted_at":"2025-04-24T22:27:50Z","title":"LLM Agent Swarm for Hypothesis-Driven Drug Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.17967","snapshot_observed_at":"2026-08-07T14:34:31.785572Z","title":"Llm agent swarm for hypothesis-driven drug discovery.arXiv preprint arXiv:2504.17967, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.21534","last_updated":"2025-05-23T22:26:22Z","snapshot_observed_at":"2026-08-10T11:05:28.694524Z","submitted_at":"2025-05-23T22:26:22Z","title":"Uncovering Bottlenecks and Optimizing Scientific Lab Workflows with Cycle Time Reduction Agents","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:34:31.785572Z"},"links":{"cited_paper":"/paper/2504.17967","citing_paper":"/paper/2505.21534"},"observation_digest":"sha256:ad5f1464e2a2b6ccb90844e19a8e799da9b0ccaf09d77982b921ef12df636c72","observation_id":"d7a78607-a19b-4ebd-92a6-560568381ff3","resolution":{"observed_at":"2026-08-07T14:34:31.785572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.17967","last_updated":"2025-04-24T22:27:50Z","snapshot_observed_at":"2026-08-12T07:23:07.417746Z","submitted_at":"2025-04-24T22:27:50Z","title":"LLM Agent Swarm for Hypothesis-Driven Drug Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.17967","snapshot_observed_at":"2026-08-06T20:07:59.730862Z","title":"Trotter, and J.Y","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.03722","last_updated":"2025-07-04T17:20:14Z","snapshot_observed_at":"2026-08-13T20:31:38.526271Z","submitted_at":"2025-07-04T17:20:14Z","title":"Roadmap for using large language models (LLMs) to accelerate cross-disciplinary research with an example from computational biology","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:07:59.730862Z"},"links":{"cited_paper":"/paper/2504.17967","citing_paper":"/paper/2507.03722"},"observation_digest":"sha256:279ad3414f3e438aeddfcf6c33d601e10d108e61255ccfbdb6e654281912f764","observation_id":"13f47a96-b060-458e-b94d-a61306010d09","resolution":{"observed_at":"2026-08-06T20:07:59.730862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.17967","last_updated":"2025-04-24T22:27:50Z","snapshot_observed_at":"2026-08-12T07:23:07.417746Z","submitted_at":"2025-04-24T22:27:50Z","title":"LLM Agent Swarm for Hypothesis-Driven Drug Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.17967","snapshot_observed_at":"2026-08-06T18:47:24.009118Z","title":"Llm agent swarm for hypothesis-driven drug discovery","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.07426","last_updated":"2025-07-31T13:57:25Z","snapshot_observed_at":"2026-08-12T07:48:36.868592Z","submitted_at":"2025-07-10T04:39:55Z","title":"DrugMCTS: a drug repurposing framework combining multi-agent, RAG and Monte Carlo Tree Search","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:47:24.009118Z"},"links":{"cited_paper":"/paper/2504.17967","citing_paper":"/paper/2507.07426"},"observation_digest":"sha256:0a6d29d1e257c4123fef8ac703e9937f474c4b92f46eb667d9f820d9a65032e2","observation_id":"94599eb4-df69-4728-a07b-88ecfd5f3805","resolution":{"observed_at":"2026-08-06T18:47:24.009118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.17967","last_updated":"2025-04-24T22:27:50Z","snapshot_observed_at":"2026-08-12T07:23:07.417746Z","submitted_at":"2025-04-24T22:27:50Z","title":"LLM Agent Swarm for Hypothesis-Driven Drug Discovery","version":1},"cited_work":{"arxiv_id":"2504.17967","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.17967","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"and Chen, J","venue":null,"work_id":"8a150a51-64c8-46b6-8ff5-e1dee19e2a5a","year":2025},"citing_paper":{"arxiv_id":"2510.16853","last_updated":"2026-04-24T15:30:08Z","snapshot_observed_at":"2026-08-12T23:34:21.628112Z","submitted_at":"2025-10-19T14:32:46Z","title":"Agentic Inequality","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-18T06:15:12.105326Z"},"links":{"cited_paper":"/paper/2504.17967","citing_paper":"/paper/2510.16853"},"observation_digest":"sha256:ee68662c16d410155586c66b7ee7864b837385a48fd06c498b854b9b33c758a4","observation_id":"586aad15-3f80-496a-a494-321ffb908313","resolution":{"observed_at":"2026-05-18T06:15:58.013767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.17967/citation-record","integrity":"/paper/2504.17967/integrity","json":"/paper/2504.17967/citation-record.json","paper":"/paper/2504.17967"},"outbound":[],"paper":{"arxiv_id":"2504.17967","last_updated":"2025-04-24T22:27:50Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T07:23:07.417746Z","submitted_at":"2025-04-24T22:27:50Z","title":"LLM Agent Swarm for Hypothesis-Driven Drug Discovery"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.17967."}