{"as_of":"2026-08-10T21:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bce681d2a045050644f32c2b5a9cc5d99ac7731240dfc3a37eea99870e09fd79","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:12:00.231479Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-07T13:12:00.231479Z","title":"Ideabench: Benchmarking large lan- guage models for research idea generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23843","last_updated":"2025-05-28T15:17:34Z","snapshot_observed_at":"2026-08-10T14:50:39.591025Z","submitted_at":"2025-05-28T15:17:34Z","title":"Evaluation Hallucination in Multi-Round Incomplete Information Lateral-Driven Reasoning Tasks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:12:00.231479Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2505.23843"},"observation_digest":"sha256:f053c3c57b27c587b3a8d01d39373471b6367d65f93cb15ac58146cff8c862d6","observation_id":"b36b8472-84b4-4d8b-a34f-c5894b39d8c4","resolution":{"observed_at":"2026-08-07T13:12:00.231479Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":"2411.02429","doi":"10.48550/arxiv.2411.02429","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ideabench: Benchmarking large language models for research idea generation","venue":"arXiv (Cornell University)","work_id":"03f38729-240f-4d21-b8af-435c309b5bc3","year":2024},"citing_paper":{"arxiv_id":"2507.11810","last_updated":"2026-05-11T19:19:50Z","snapshot_observed_at":"2026-07-06T21:57:50.776977Z","submitted_at":"2025-07-16T00:11:01Z","title":"Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-19T05:15:49.513101Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2507.11810"},"observation_digest":"sha256:e77088590bc97c26f4dfb41d07d52aff2457c2fe36289f7f699e6437d2274a7c","observation_id":"d3f34563-cb83-4d7e-a7ff-be96e5d1da9d","resolution":{"observed_at":"2026-05-19T05:17:06.273114Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":"2411.02429","doi":"10.48550/arxiv.2411.02429","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ideabench: Benchmarking large language models for research idea generation","venue":"arXiv (Cornell University)","work_id":"03f38729-240f-4d21-b8af-435c309b5bc3","year":2024},"citing_paper":{"arxiv_id":"2507.15736","last_updated":"2026-06-04T10:11:00Z","snapshot_observed_at":"2026-08-06T15:22:33.124408Z","submitted_at":"2025-07-21T15:43:05Z","title":"IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-19T03:48:44.217655Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2507.15736"},"observation_digest":"sha256:6af875e6247b0a093f7a961650e7b5d70b629a9d17b5bc94a7bc4ed7a71c46c6","observation_id":"ef8a8fff-d44b-4ae5-9601-429d120476af","resolution":{"observed_at":"2026-05-19T03:52:01.575926Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-06T15:31:18.396565Z","title":"doi: 10.1145/3659943","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15736","last_updated":"2026-06-04T10:11:00Z","snapshot_observed_at":"2026-08-06T15:22:33.124408Z","submitted_at":"2025-07-21T15:43:05Z","title":"IDRBench: Understanding the Capability of Large Language Models on Interdisciplinary Research","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:31:18.396565Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2507.15736"},"observation_digest":"sha256:52e180ef9d95ca7b7543f9834ebd3b0547d06a2936df5e31f4057e66cd828699","observation_id":"776fd5d0-1877-42e1-a175-2f989cfb6d3f","resolution":{"observed_at":"2026-08-06T15:31:18.396565Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":"2411.02429","doi":"10.48550/arxiv.2411.02429","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ideabench: Benchmarking large language models for research idea generation","venue":"arXiv (Cornell University)","work_id":"03f38729-240f-4d21-b8af-435c309b5bc3","year":2024},"citing_paper":{"arxiv_id":"2606.02258","last_updated":"2026-06-01T13:45:18Z","snapshot_observed_at":"2026-08-02T16:51:34.074966Z","submitted_at":"2026-06-01T13:45:18Z","title":"Matter to Mechanism: A Benchmark for AI Co-Scientists in Materials and Battery Research","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-06-28T12:08:10.552789Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2606.02258"},"observation_digest":"sha256:f71423931fc2bbe64466768f88ab18c55cf898195c0b3f756d02933e2957cf80","observation_id":"790a8b4e-ad3a-47e8-8e1f-2a582e282959","resolution":{"observed_at":"2026-06-28T12:12:07.849244Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":"2411.02429","doi":"10.48550/arxiv.2411.02429","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ideabench: Benchmarking large language models for research idea generation","venue":"arXiv (Cornell University)","work_id":"03f38729-240f-4d21-b8af-435c309b5bc3","year":2024},"citing_paper":{"arxiv_id":"2606.09105","last_updated":"2026-06-10T01:31:19Z","snapshot_observed_at":"2026-08-08T23:31:29.031125Z","submitted_at":"2026-06-08T06:58:21Z","title":"Graph2Idea:Retrieval-Augmented Scientific Idea Generation with Graph-Structured Contexts","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T16:39:36.945808Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2606.09105"},"observation_digest":"sha256:97ec8d4d128c2612f83a02f5fbf5f5685ed3824d23153a7221476d947ae1f24e","observation_id":"8a89d92e-2284-4724-8f56-31d1ed5abd6e","resolution":{"observed_at":"2026-07-03T01:17:31.031470Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":"2411.02429","doi":"10.48550/arxiv.2411.02429","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ideabench: Benchmarking large language models for research idea generation","venue":"arXiv (Cornell University)","work_id":"03f38729-240f-4d21-b8af-435c309b5bc3","year":2024},"citing_paper":{"arxiv_id":"2606.09550","last_updated":"2026-06-08T14:29:40Z","snapshot_observed_at":"2026-07-06T23:48:53.420827Z","submitted_at":"2026-06-08T14:29:40Z","title":"InquiTree: Evaluating AI Agents in the Scientific Inquiry Loop with Paper-Derived Research Trees","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-27T14:06:59.471772Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2606.09550"},"observation_digest":"sha256:8f774c6fb99d0544a6d257bc30e77aa313f58af6c55a8db287828e6d2f7d8a50","observation_id":"c5d0f6cc-4389-4bbb-9785-a008542d2448","resolution":{"observed_at":"2026-07-03T04:07:37.260605Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-07-11T19:11:37.739920Z","title":"Ideabench: Benchmarking large language models for research idea generation, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.04439","last_updated":"2026-07-05T17:59:43Z","snapshot_observed_at":"2026-07-11T19:11:36.152412Z","submitted_at":"2026-07-05T17:59:43Z","title":"ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-11T19:11:37.739920Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2607.04439"},"observation_digest":"sha256:6b25f4781aa13f9ecd712bc5c23903fee82789b03926239518febff8b6a80ff2","observation_id":"1454759b-7df1-47f2-8061-9b42e943007c","resolution":{"observed_at":"2026-07-11T19:11:37.739920Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-07-14T13:58:30.439198Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10144","last_updated":"2026-07-20T11:28:47Z","snapshot_observed_at":"2026-08-10T02:37:00.026524Z","submitted_at":"2026-07-11T06:04:29Z","title":"IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T13:58:30.439198Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2607.10144"},"observation_digest":"sha256:8067dc7099ff4c403134d7d8d67568b81a2191f9c1ad544d925d65d2ebf99f73","observation_id":"e58d174e-0358-4c4c-b5ec-0e9db764c419","resolution":{"observed_at":"2026-07-14T13:58:30.439198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.02429","snapshot_observed_at":"2026-08-02T07:23:15.568951Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10144","last_updated":"2026-07-20T11:28:47Z","snapshot_observed_at":"2026-08-10T02:37:00.026524Z","submitted_at":"2026-07-11T06:04:29Z","title":"IdeaTrail: Full-Process Agent Trajectories for Scientific Ideation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T07:23:15.568951Z"},"links":{"cited_paper":"/paper/2411.02429","citing_paper":"/paper/2607.10144"},"observation_digest":"sha256:421e8571487d21b0869483ed9cc4c158f0e448aa3e2a154b695411467a72c663","observation_id":"356400f3-fb30-4134-a35c-38214eba2417","resolution":{"observed_at":"2026-08-02T07:23:15.568951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.02429/citation-record","integrity":"/paper/2411.02429/integrity","json":"/paper/2411.02429/citation-record.json","paper":"/paper/2411.02429"},"outbound":[],"paper":{"arxiv_id":"2411.02429","last_updated":"2024-10-31T17:04:59Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T11:24:59.713362Z","submitted_at":"2024-10-31T17:04:59Z","title":"IdeaBench: Benchmarking Large Language Models for Research Idea Generation"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.02429."}