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Paper Citation Record · LEDGER

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions

As of 8 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2507.05220.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.05220 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:40:08.127217Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:18:46.515229Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-06-28T23:22:47.132855Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact5
  • verified fuzzy6
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2cac615b-8f08-4991-8787-6d1281f2b4d6 · outbound

This paper cites Strong laws for l-and u-statistics.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Strong laws for l-and u-statistics

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T19:40:10.224581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b4c729cd-00d9-4d5f-9dcc-964493187ceb · outbound

This paper cites Prediction-Powered Inference.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Prediction-Powered Inference

Reference 2

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Observation 0ac9d399-0579-4e1a-a7d4-a201e8550341 · outbound

This paper cites PPI++: Efficient Prediction-Powered Inference.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions PPI++: Efficient Prediction-Powered Inference

Reference 3

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no resolver link, observed 2026-08-06T19:40:06.095913Z

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Observation b70a1e7a-1952-4abc-9199-08f656082e16 · outbound

This paper cites Argyle, Ethan C.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Argyle, Ethan C

Reference 4

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source=arxiv_source observed=2026-08-06T19:40:06.184765Z digest=sha256:2d9ddf510fc50acd530e399f2d2fb1598880a39862134fa16a191afe6f9cc663

Observation b6c572cf-1282-459b-8389-4e21d0e10876 · outbound

This paper cites AutoEval Done Right: Using Synthetic Data for Model Evaluation.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions AutoEval Done Right: Using Synthetic Data for Model Evaluation

Reference 5

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source=arxiv_source observed=2026-08-06T19:40:06.270349Z digest=sha256:4be3cc2e2990082cbde8c2377d147c386f7a5e8a5d13664a7e9166e2fe61380f

Observation 32009db5-91bf-4e94-abed-5f5f82f889e7 · outbound

This paper cites Distribution-Free Statistical Dispersion Control for Societal Applications.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Distribution-Free Statistical Dispersion Control for Societal Applications

Reference 6

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verified exact
local_arxiv, observed 2026-08-06T19:40:09.043816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 3386b865-c772-45c3-854e-6c61816af70f · outbound

This paper cites Questioning the Survey Responses of Large Language Models.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Questioning the Survey Responses of Large Language Models

Reference 7

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source=arxiv_source observed=2026-08-06T19:40:06.423425Z digest=sha256:aa5041e903480e57a574c44dedc82913a6399568a51d2d45edd99487052c82b1

Observation 45e8ac05-b7cf-46c4-aada-ae97e5b0240f · outbound

This paper cites Arias, Samuel Lantei Mills, and Albert Motivans.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Arias, Samuel Lantei Mills, and Albert Motivans

Reference 8

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raw_fallback, observed 2026-08-06T19:40:09.980681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:06.524995Z digest=sha256:2bd65a7c8bd6b0a17fb717aa9e44189bc6c9758dda3ab0abccbcac93400883d4

Observation ea5cb704-d0cb-4eed-b46c-aba26a1c3557 · outbound

This paper cites Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Regression for the Mean: Auto-Evaluation and Inference with Few Labels through Post-hoc Regression

Reference 9

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local_arxiv, observed 2026-08-06T19:40:08.911154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0da1ec49-7f84-4675-8a1b-2b42b84b977b · outbound

This paper cites Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Reference 10

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verified exact
local_arxiv, observed 2026-08-06T19:40:08.791189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5990a4d7-f147-4992-a826-ce005275585d · outbound

This paper cites Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:06.733262Z digest=sha256:eced3ab82232a89286ae8fba711ace4ca0bf93a4d4ec09cbb142f6de268a5393

Observation 13d1ba11-520b-4d9f-b669-de48359847c4 · outbound

This paper cites Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:06.824745Z digest=sha256:c0d8df220856f3734f8c964302968ab24acf1e955c4ccbfef71cc96dbc3d9390

Observation c27a51d7-2ad7-4fa2-b158-6bbbe4b001f8 · outbound

This paper cites Bayesian Prediction-Powered Inference.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Bayesian Prediction-Powered Inference

Reference 13

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local_arxiv, observed 2026-08-06T19:40:08.638786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c5d7ac8b-a8ec-44b9-b8de-d452c63e6c68 · outbound

This paper cites an unresolved cited work.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:06.988441Z digest=sha256:41543f0e77820e13cde676ddb8dab005e3bb3bb2fd692329004b9e45ce8a3504

Observation fa75b96a-1273-4444-b3b2-2df196e93742 · outbound

This paper cites an unresolved cited work.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-06T19:40:09.814952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:07.069218Z digest=sha256:21d95752dc9ae3b7400a2d2e5c6386c88218c5515820c80a0d71ba1ed35c3729

Observation 1f0ff7a7-b498-48cf-9394-28ea822c9d13 · outbound

This paper cites WILDS: A Benchmark of in-the-Wild Distribution Shifts.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions WILDS: A Benchmark of in-the-Wild Distribution Shifts

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:07.155028Z digest=sha256:c97239f721d86960e29e49a1b96d8e0e69a66dfca21b474e4541f019519be2b0

Observation d25f02c7-bd3b-4245-876a-51cebdb23297 · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 17

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source=arxiv_source observed=2026-08-06T19:40:07.237221Z digest=sha256:833330f93d024e35f23a6e7ef7ee68ac45fcdc648b69872855ce3e65e21cd24b

Observation 0402518f-2384-4321-a854-386d63d931e4 · outbound

This paper cites Cohen, and Mirella Lapata.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Cohen, and Mirella Lapata

Reference 18

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no resolver link, observed 2026-08-06T19:40:07.318795Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:07.318795Z digest=sha256:3c79fe1f7aa17db11a4fda1a0d47686ee208bd99178e8748478c5b2347fcc50c

Observation 8ce1716c-1b73-4119-af14-55035e1ba236 · outbound

This paper cites Trends in income and wealth inequality, January 2020.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Trends in income and wealth inequality, January 2020

Reference 19

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raw_fallback, observed 2026-08-06T19:40:09.691322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f83005f0-b9a8-4318-9f17-b0e6837a1c30 · outbound

This paper cites Conditional value-at-risk for general loss distributions.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Conditional value-at-risk for general loss distributions

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T19:40:09.538575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:07.447889Z digest=sha256:6b7ad6a8fdb7f63f89079cf86ac3317618fdf95b67d39da172f6508a69fb2d1f

Observation 709b5272-17cb-4187-843c-ffce86071233 · outbound

This paper cites Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Quantile Risk Control: A Flexible Framework for Bounding the Probability of High-Loss Predictions

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:07.534555Z digest=sha256:768f0cc89c2d6434bf4f34b14ed35a74fa319d62fbc35f8220a559a73a1df009

Observation 851b0356-5a15-436a-9996-9338da60db39 · outbound

This paper cites Little, and Rajiv McCoy.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Little, and Rajiv McCoy

Reference 22

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doi, observed 2026-08-06T19:40:08.263101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:07.653129Z digest=sha256:89343ff7c4e93dcdb16b6878a9c2f274dd77d885aea073d16045e99671359dc1

Observation 2a76fc05-b01d-4d2a-b6bb-3ff785a3b65c · outbound

This paper cites The evolution, evolvability and engineering of gene regulatory dna.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions The evolution, evolvability and engineering of gene regulatory dna

Reference 23

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no resolver link, observed 2026-08-06T19:40:07.747531Z

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source=arxiv_source observed=2026-08-06T19:40:07.747531Z digest=sha256:5d82c141486c8d0c4b97fb63f8ae245228d217c4988002464c01e0dbcdd0ce79

Observation 3f69d35a-64b5-40fe-8dbd-f50172bc089b · outbound

This paper cites Asymptotic statistics, volume 3.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Asymptotic statistics, volume 3

Reference 24

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source=arxiv_source observed=2026-08-06T19:40:07.803774Z digest=sha256:52c301c40748b883d8dfcfda02120e876b694353b3f1817413808f6a55781b27

Observation 76d927b6-09ec-4127-ac81-cde1e0e01e14 · outbound

This paper cites Lobell, Stefano Ermon, and M.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Lobell, Stefano Ermon, and M

Reference 25

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raw_fallback, observed 2026-08-06T19:40:09.395801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:07.890307Z digest=sha256:c2d7f95d7372fbf2b1fe0c770b08c8e66ed834bf464f87197843fad36787048a

Observation bb17cf9e-fd1e-4bed-ad5a-4bfa908b45da · outbound

This paper cites Benchmarking large language models for news summarization.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Benchmarking large language models for news summarization

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-06T19:40:09.220549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:07.968511Z digest=sha256:4ee0dde12e01c4f783cd2a92e53fb8c8645cd71ff312da5e0e66a0bcfb1237be

Observation a7875107-36c6-4304-9ad6-0d95154f6a48 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 27

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no resolver link, observed 2026-08-06T19:40:08.043189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:40:08.043189Z digest=sha256:436c39762b9c9bfd650deaa1611ecd9f5e6d3797e42f81941bb885886be09682

Observation f84d6241-219f-46d6-99bd-4616d1bdb0d8 · outbound

This paper cites Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models.

QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models

Reference 28

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verified exact
local_arxiv, observed 2026-08-06T19:40:08.411197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:40:08.127217Z digest=sha256:ae7b6301a19c0d89a0b6923ad8074c2e53dfef16cda29f5df36c33c33bd8817a

Pith citing papers

Observation befbeb77-d750-4121-ac50-ebc087b35497 · inbound

Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference cites this paper.

Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference QuEst: Enhancing Estimates of Quantile-Based Distributional Measures Using Model Predictions

Reference 4

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arxiv_id, observed 2026-06-28T23:22:47.134583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T23:18:46.515229Z digest=sha256:896f0acad8082dcbca6ad7201a1156439a3e365a0898401369a847a5dd8d7bfc