Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T23:05:54.863973Z
Paper Citation Record · LEDGER
Concentration bounds on response-based vector embeddings of black-box generative models
As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2511.08307.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T23:28:47.530333Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-30T23:35:07.655438Z
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ffd5e01c-ed24-4fc3-860a-588a4220e8bc · outbound
This paper cites Consistent estimation of generative model representations in the data kernel perspective space.
Concentration bounds on response-based vector embeddings of black-box generative models Consistent estimation of generative model representations in the data kernel perspective space
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:53.950141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4a55bd9-a7fa-4fb0-a5da-951b74d3cf5e · outbound
This paper cites Proposition A.1.In our setting, supposer=ω(n 3).
Concentration bounds on response-based vector embeddings of black-box generative models Proposition A.1.In our setting, supposer=ω(n 3)
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.685528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff99f637-1299-4e68-8a22-775a92d80266 · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.
Concentration bounds on response-based vector embeddings of black-box generative models Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.166497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d48be3ca-a6a6-48e9-930f-30c9c2fa77f6 · outbound
This paper cites Statistical inference on black-box generative models in the data kernel perspective space.
Concentration bounds on response-based vector embeddings of black-box generative models Statistical inference on black-box generative models in the data kernel perspective space
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.402909Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 77dccd6b-28ef-4979-98a3-4fc0443ec515 · outbound
This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.
Concentration bounds on response-based vector embeddings of black-box generative models Multitask Prompted Training Enables Zero-Shot Task Generalization
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.497681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65b460ba-b2fb-4c09-abc0-fcdcc41ccaf3 · outbound
This paper cites 12 Proposition A.6.In our setting, supposer=ω(n 3).
Concentration bounds on response-based vector embeddings of black-box generative models 12 Proposition A.6.In our setting, supposer=ω(n 3)
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.776363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8c06047-5d9e-4e30-8bb7-f615e016b0d0 · outbound
This paper cites Proof.First note that (from proof ofLemma C.4in Agterberg et al.
Concentration bounds on response-based vector embeddings of black-box generative models Proof.First note that (from proof ofLemma C.4in Agterberg et al
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.863973Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25b8fa40-a5a2-40f6-9391-3e07277ee9da · outbound
This paper cites Planning with Large Language Models for Code Generation.
Concentration bounds on response-based vector embeddings of black-box generative models Planning with Large Language Models for Code Generation
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.598627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d48a6ad8-14be-4874-adcc-ca1b7bd6bb9e · outbound
This paper cites Comparing Foundation Models using Data Kernels.
Concentration bounds on response-based vector embeddings of black-box generative models Comparing Foundation Models using Data Kernels
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.233256Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 661c251b-715a-4fc9-84c3-51b0ee7fc804 · outbound
This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.
Concentration bounds on response-based vector embeddings of black-box generative models Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.094465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c29c8036-57bc-4dc1-a76c-edb43759226c · outbound
This paper cites Perspectives on large language models for relevance judgment.
Concentration bounds on response-based vector embeddings of black-box generative models Perspectives on large language models for relevance judgment
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.318594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34fe2092-0cfa-4a12-a6a3-222dce8b541b · outbound
This paper cites Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels.
Concentration bounds on response-based vector embeddings of black-box generative models Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:05:54.015552Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 313b2b72-616e-4d07-af42-007b78b2d70b · inbound
Recovering manifold structure in LLM responses through a joint Euclidean mirror cites this paper.
Recovering manifold structure in LLM responses through a joint Euclidean mirror Concentration bounds on response-based vector embeddings of black-box generative models
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T02:16:11.168432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation decfb28e-53a2-4237-aa3a-470ce083d8f5 · inbound
Query-efficient model evaluation using cached responses cites this paper.
Query-efficient model evaluation using cached responses Concentration bounds on response-based vector embeddings of black-box generative models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T23:35:07.657084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.