{"as_of":"2026-08-08T18:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a76ac8460de27d8ea80b0adca288ce3289e6c7184b65edc253ac6f7d10ee5114","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T23:05:54.863973Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T23:28:47.530333Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-06-30T23:35:07.655438Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"cited_work":{"arxiv_id":"2511.08307","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.08307","snapshot_observed_at":"2026-06-30T23:35:07.655438Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","venue":"stat.ML","work_id":"4e611e21-88c3-41c8-b855-18569beda697","year":2025},"citing_paper":{"arxiv_id":"2604.07011","last_updated":"2026-04-24T20:11:45Z","snapshot_observed_at":"2026-07-06T22:55:20.208897Z","submitted_at":"2026-04-08T12:33:35Z","title":"Recovering manifold structure in LLM responses through a joint Euclidean mirror","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-05-10T18:27:08.866645Z"},"links":{"cited_paper":"/paper/2511.08307","citing_paper":"/paper/2604.07011"},"observation_digest":"sha256:f3cbb2a12f79dd9906ce46398460aeee96f9d5cf933f3850081fe288d40922bb","observation_id":"313b2b72-616e-4d07-af42-007b78b2d70b","resolution":{"observed_at":"2026-06-30T02:16:11.168432Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"cited_work":{"arxiv_id":"2511.08307","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.08307","snapshot_observed_at":"2026-06-30T23:35:07.655438Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","venue":"stat.ML","work_id":"4e611e21-88c3-41c8-b855-18569beda697","year":2025},"citing_paper":{"arxiv_id":"2605.07096","last_updated":"2026-06-04T16:41:18Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T01:24:06Z","title":"Query-efficient model evaluation using cached responses","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T23:28:47.530333Z"},"links":{"cited_paper":"/paper/2511.08307","citing_paper":"/paper/2605.07096"},"observation_digest":"sha256:e9e2fd8a8975a1dd4db5e54b80d36b830e6486b2a13dc36cdb7a9fa6e94ea578","observation_id":"decfb28e-53a2-4237-aa3a-470ce083d8f5","resolution":{"observed_at":"2026-06-30T23:35:07.657084Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2511.08307/citation-record","integrity":"/paper/2511.08307/integrity","json":"/paper/2511.08307/citation-record.json","paper":"/paper/2511.08307"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.17308","last_updated":"2025-01-17T04:30:17Z","snapshot_observed_at":"2026-07-06T19:22:23.126605Z","submitted_at":"2024-09-25T19:35:58Z","title":"Consistent estimation of generative model representations in the data kernel perspective space","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17308","snapshot_observed_at":"2026-08-03T23:05:53.950141Z","title":"Consistent estima- tion of generative model representations in the data kernel perspective space.arXiv preprint arXiv:2409.17308,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:53.950141Z"},"links":{"cited_paper":"/paper/2409.17308","citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:978ad3ed7e1d69f8f2a4f00372027a11abe74b9d9b9dc0d4115c2caa787ba2c7","observation_id":"ffd5e01c-ed24-4fc3-860a-588a4220e8bc","resolution":{"observed_at":"2026-08-03T23:05:53.950141Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:05:54.685528Z","title":"Proposition A.1.In our setting, supposer=ω(n 3)","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.685528Z"},"links":{"citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:a67327f04bd72f962ad1669d17dc8926cea22bc93409cca26f1c55e46788ad1f","observation_id":"b4a55bd9-a7fa-4fb0-a5da-951b74d3cf5e","resolution":{"observed_at":"2026-08-03T23:05:54.685528Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:05:54.166497Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.166497Z"},"links":{"citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:dd747e564d2199eddbc7e2c5d55ad527b087fa166c5a833a4b58441bbf026b75","observation_id":"ff99f637-1299-4e68-8a22-775a92d80266","resolution":{"observed_at":"2026-08-03T23:05:54.166497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01106","last_updated":"2025-05-22T14:47:00Z","snapshot_observed_at":"2026-08-08T15:32:33.932639Z","submitted_at":"2024-10-01T22:28:39Z","title":"Statistical inference on black-box generative models in the data kernel perspective space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01106","snapshot_observed_at":"2026-08-03T23:05:54.402909Z","title":"Embedding-based statistical inference on generative models.arXiv preprint arXiv:2410.01106, 2024a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.402909Z"},"links":{"cited_paper":"/paper/2410.01106","citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:eab54fe9804065ef104a42f651b197a571bf05e6d8db97e9e308dd8071a67743","observation_id":"d48be3ca-a6a6-48e9-930f-30c9c2fa77f6","resolution":{"observed_at":"2026-08-03T23:05:54.402909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.08207","last_updated":"2022-03-17T17:53:01Z","snapshot_observed_at":"2026-07-06T11:58:21.596920Z","submitted_at":"2021-10-15T17:08:57Z","title":"Multitask Prompted Training Enables Zero-Shot Task Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.08207","snapshot_observed_at":"2026-08-03T23:05:54.497681Z","title":"Multitask prompted training enables zero-shot task generalization.arXiv preprint arXiv:2110.08207,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.497681Z"},"links":{"cited_paper":"/paper/2110.08207","citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:1a19b6b8d85d12ea17bf92712dd57850db9ad81c82c750645fc7ee8ddfc34cda","observation_id":"77dccd6b-28ef-4979-98a3-4fc0443ec515","resolution":{"observed_at":"2026-08-03T23:05:54.497681Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:05:54.776363Z","title":"12 Proposition A.6.In our setting, supposer=ω(n 3)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.776363Z"},"links":{"citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:f051380b0508ec4c3076f0035b420228de6c81bec72a1fa494f3189054ca1643","observation_id":"65b460ba-b2fb-4c09-abc0-fcdcc41ccaf3","resolution":{"observed_at":"2026-08-03T23:05:54.776363Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:05:54.863973Z","title":"Proof.First note that (from proof ofLemma C.4in Agterberg et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.863973Z"},"links":{"citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:c6a5231db8d49cead6351242f2d1558eac1c967b0882688aee59489e53005025","observation_id":"c8c06047-5d9e-4e30-8bb7-f615e016b0d0","resolution":{"observed_at":"2026-08-03T23:05:54.863973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.05510","last_updated":"2023-03-09T18:59:47Z","snapshot_observed_at":"2026-07-06T15:00:58.804337Z","submitted_at":"2023-03-09T18:59:47Z","title":"Planning with Large Language Models for Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.05510","snapshot_observed_at":"2026-08-03T23:05:54.598627Z","title":"Planning with large language models for code generation.arXiv preprint arXiv:2303.05510,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.598627Z"},"links":{"cited_paper":"/paper/2303.05510","citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:9b92b6b1cb31742951cedc12dcb7e80e5a39e993b54642e7b606a95ca41e7677","observation_id":"25b8fa40-a5a2-40f6-9391-3e07277ee9da","resolution":{"observed_at":"2026-08-03T23:05:54.598627Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.05126","last_updated":"2024-01-07T15:28:56Z","snapshot_observed_at":"2026-08-07T06:07:37.443076Z","submitted_at":"2023-05-09T02:01:07Z","title":"Comparing Foundation Models using Data Kernels","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.05126","snapshot_observed_at":"2026-08-03T23:05:54.233256Z","title":"Comparing foundation models using data kernels.arXiv preprint arXiv:2305.05126,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.233256Z"},"links":{"cited_paper":"/paper/2305.05126","citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:10b2c7fa2a8b46a877b8ff4a34abfda74bfd5cb9164b3768565529362f6683e6","observation_id":"d48a6ad8-14be-4874-adcc-ca1b7bd6bb9e","resolution":{"observed_at":"2026-08-03T23:05:54.233256Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:05:54.094465Z","title":"Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.094465Z"},"links":{"citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:3170bbf880c54389dfa8f6e5e1bc59fe6eb40f7592e3411a5297e38e7dfd1e5f","observation_id":"661c251b-715a-4fc9-84c3-51b0ee7fc804","resolution":{"observed_at":"2026-08-03T23:05:54.094465Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T23:05:54.318594Z","title":"Perspectives on large language models for relevance judgment","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.318594Z"},"links":{"citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:967dd229b8660e386e30b2e6ad268eff4de3c0887307e4d21112789f2718d67e","observation_id":"c29c8036-57bc-4dc1-a76c-edb43759226c","resolution":{"observed_at":"2026-08-03T23:05:54.318594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.05053","last_updated":"2025-06-03T20:31:51Z","snapshot_observed_at":"2026-07-06T14:28:52.486524Z","submitted_at":"2022-12-09T18:56:42Z","title":"Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.05053","snapshot_observed_at":"2026-08-03T23:05:54.015552Z","title":"Joint spectral clustering in multilayer degree-corrected stochastic blockmodels.arXiv preprint arXiv:2212.05053,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T23:05:54.015552Z"},"links":{"cited_paper":"/paper/2212.05053","citing_paper":"/paper/2511.08307"},"observation_digest":"sha256:ed0281c8d3751c6764aacbc6be25bd471d7a697facfb8493946e90b2dac093de","observation_id":"34fe2092-0cfa-4a12-a6a3-222dce8b541b","resolution":{"observed_at":"2026-08-03T23:05:54.015552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2511.08307","last_updated":"2026-06-27T15:13:24Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T06:08:08.436143Z","submitted_at":"2025-11-11T14:37:05Z","title":"Concentration bounds on response-based vector embeddings of black-box generative models"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":12,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":12},"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 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2511.08307."}