Paper Citation Record · LEDGER

Potemkin Understanding in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 5 inbound Pith citation observations for arXiv:2506.21521.

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

pith.paper-citation-record.v1
2506.21521 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:30:32.913920Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:14.933677Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T04:12:02.502599Z

Reference resolution

65 of 65 outbound references displayed

verified exact2
verified fuzzy27
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d63f77aa-6ef6-49ee-a283-79eb99afab8a · outbound

This paper cites write newline.

Potemkin Understanding in Large Language Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:28.435106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1e6da37-5ba4-4f69-8fa9-0c59c9d581ff · outbound

This paper cites GPT-4 Can't Reason.

Potemkin Understanding in Large Language Models GPT-4 Can't Reason

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:28.514523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2924307-bf4f-46d0-8620-46c553022461 · outbound

This paper cites Synthetic and Natural Noise Both Break Neural Machine Translation.

Potemkin Understanding in Large Language Models Synthetic and Natural Noise Both Break Neural Machine Translation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:28.626627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da117aa1-2c46-4bef-ab57-ea86758a63f7 · outbound

This paper cites The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".

Potemkin Understanding in Large Language Models The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:28.715765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aadb985-3932-4443-9b5c-20ebf50d25b2 · outbound

This paper cites What Will it Take to Fix Benchmarking in Natural Language Understanding?.

Potemkin Understanding in Large Language Models What Will it Take to Fix Benchmarking in Natural Language Understanding?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:28.809315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acad158d-780c-4e01-9d25-2f7b9e40fe4f · outbound

This paper cites A large annotated corpus for learning natural language inference.

Potemkin Understanding in Large Language Models A large annotated corpus for learning natural language inference

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:28.890401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b23d7a8-3d0b-4c30-9521-1a1bfc1a288f · outbound

This paper cites T., Li, Y., Lundberg, S., et al.

Potemkin Understanding in Large Language Models T., Li, Y., Lundberg, S., et al

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:37.175863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c13f625-6a91-4d56-bd70-58eeb0d90de1 · outbound

This paper cites With Little Power Comes Great Responsibility.

Potemkin Understanding in Large Language Models With Little Power Comes Great Responsibility

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:30:33.752650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 570370e0-e76e-4430-9284-c1068694b47e · outbound

This paper cites ChatBench: From Static Benchmarks to Human-AI Evaluation.

Potemkin Understanding in Large Language Models ChatBench: From Static Benchmarks to Human-AI Evaluation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:29.181666Z

Source-reported events for the cited work

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Observation ebe472ad-7448-4859-924d-4375114536cb · outbound

This paper cites N., Li, T., Li, D., Zhu, B., Zhang, H., Jordan, M., Gonzalez, J.

Potemkin Understanding in Large Language Models N., Li, T., Li, D., Zhu, B., Zhang, H., Jordan, M., Gonzalez, J

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:37.015281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0562646-d1d9-4fd3-b47a-e047e37a74de · outbound

This paper cites an unresolved cited work.

Potemkin Understanding in Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:30:36.872633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9b3191d-80f6-4b06-9503-beaa37bb8d3c · outbound

This paper cites and Etzioni, O.

Potemkin Understanding in Large Language Models and Etzioni, O

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:36.720223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1ff9d6c6-be20-479b-8761-9cabe6a83991 · outbound

This paper cites Recognizing textual entailment: Rational, evaluation and approaches--erratum.

Potemkin Understanding in Large Language Models Recognizing textual entailment: Rational, evaluation and approaches--erratum

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:36.600044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4cb16b18-fd89-4569-94ca-464bf44350d6 · outbound

This paper cites Testing ai on language comprehension tasks reveals insensitivity to underlying meaning.

Potemkin Understanding in Large Language Models Testing ai on language comprehension tasks reveals insensitivity to underlying meaning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:36.453392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a0ea739a-535a-4172-8f46-2181181d8d19 · outbound

This paper cites and Meurers, D.

Potemkin Understanding in Large Language Models and Meurers, D

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:36.269650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6077b6e3-a40e-4ede-a49f-cc31384401c8 · outbound

This paper cites Measuring and improving consistency in pretrained language models.

Potemkin Understanding in Large Language Models Measuring and improving consistency in pretrained language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:36.131723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 795b1987-0c86-46cd-9f60-e2fbbe755337 · outbound

This paper cites Evaluating superhuman models with consistency checks.

Potemkin Understanding in Large Language Models Evaluating superhuman models with consistency checks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.945909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df50e5bb-3e3c-4b1c-88ec-df9aaa6f1fe7 · outbound

This paper cites W., Wallach, H., Iii, H.

Potemkin Understanding in Large Language Models W., Wallach, H., Iii, H

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.807415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ef75983-0583-4e5c-bdb5-f556c86df559 · outbound

This paper cites an unresolved cited work.

Potemkin Understanding in Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T22:30:35.689875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d7a95cd-1d8f-4e3a-ad3e-c7466b06c8a0 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

Potemkin Understanding in Large Language Models Transformer Feed-Forward Layers Are Key-Value Memories

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.028454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad7f7eb0-fd01-4e0f-82f0-18976d86aa83 · outbound

This paper cites Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space.

Potemkin Understanding in Large Language Models Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.090564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 882665b5-e390-4393-a700-f7ee81ed8000 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Potemkin Understanding in Large Language Models Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.137112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57ecf5a2-459b-4cc0-8b2b-0afe2ce9ee84 · outbound

This paper cites What can large language models do in chemistry? a comprehensive benchmark on eight tasks.

Potemkin Understanding in Large Language Models What can large language models do in chemistry? a comprehensive benchmark on eight tasks

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.569299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb395e0f-87b7-47c5-b22f-19332a00494b · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Potemkin Understanding in Large Language Models Measuring Massive Multitask Language Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.241460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ed4d6bd-64af-43c2-8e0e-b91ee427f5ac · outbound

This paper cites Understanding by Understanding Not: Modeling Negation in Language Models.

Potemkin Understanding in Large Language Models Understanding by Understanding Not: Modeling Negation in Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.327528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f80f7806-56f6-4f3a-adde-ab4af24c94be · outbound

This paper cites Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models.

Potemkin Understanding in Large Language Models Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.380612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a12bff8-1508-4e41-9956-e1d2c96a5a6b · outbound

This paper cites Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.

Potemkin Understanding in Large Language Models Adversarial Example Generation with Syntactically Controlled Paraphrase Networks

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.427899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4c4a24-c70e-48cf-a109-fd0779d6db79 · outbound

This paper cites Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models.

Potemkin Understanding in Large Language Models Accurate, yet inconsistent? Consistency Analysis on Language Understanding Models

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T22:30:33.511891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4ecb5384-98e1-4909-99a9-00cfd77fb317 · outbound

This paper cites S., and Lukasiewicz, T.

Potemkin Understanding in Large Language Models S., and Lukasiewicz, T

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.468299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68983c8b-c899-4210-9d69-74e87fd3f5a1 · outbound

This paper cites Consistency Analysis of ChatGPT.

Potemkin Understanding in Large Language Models Consistency Analysis of ChatGPT

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.615032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 354c96c6-6b8a-4b97-9c6b-027e9347c2bc · outbound

This paper cites What disease does this patient have? a large-scale open domain question answering dataset from medical exams.

Potemkin Understanding in Large Language Models What disease does this patient have? a large-scale open domain question answering dataset from medical exams

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.375868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6c072be9-1d61-4f5e-97e5-5ac8b700aab8 · outbound

This paper cites Dynabench: Rethinking Benchmarking in NLP.

Potemkin Understanding in Large Language Models Dynabench: Rethinking Benchmarking in NLP

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.708684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0186b315-2370-42f2-bcec-d4c750206225 · outbound

This paper cites a ldchen, S., Binder, A., Montavon, G., Samek, W., and M \.

Potemkin Understanding in Large Language Models a ldchen, S., Binder, A., Montavon, G., Samek, W., and M \

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.273866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 61a4b5d1-70c0-452f-accd-f2ac542cbe02 · outbound

This paper cites Benchmarking and Improving Generator-Validator Consistency of Language Models.

Potemkin Understanding in Large Language Models Benchmarking and Improving Generator-Validator Consistency of Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.853855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34dd9cdc-8b85-4a39-9792-2ecfad2c4309 · outbound

This paper cites Holistic Evaluation of Language Models.

Potemkin Understanding in Large Language Models Holistic Evaluation of Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.910951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d94355-3964-424e-89e1-753c74677884 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Potemkin Understanding in Large Language Models TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:30.965179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2549b930-ffc8-4b3d-934c-a762e4745d65 · outbound

This paper cites MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark.

Potemkin Understanding in Large Language Models MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.067924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be411334-3402-45b3-8c6d-ce53abf7f192 · outbound

This paper cites Sycophancy in Large Language Models: Causes and Mitigations.

Potemkin Understanding in Large Language Models Sycophancy in Large Language Models: Causes and Mitigations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.121504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 091c2206-b1ef-4a53-bb76-a814cce90897 · outbound

This paper cites Locating and editing factual associations in gpt.

Potemkin Understanding in Large Language Models Locating and editing factual associations in gpt

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.195017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6035467f-3a81-400a-b0d5-cc888ce0ad89 · outbound

This paper cites Fast Model Editing at Scale.

Potemkin Understanding in Large Language Models Fast Model Editing at Scale

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.224912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d35c09-92f8-4221-b27e-3e9898934714 · outbound

This paper cites Why AI is Harder Than We Think.

Potemkin Understanding in Large Language Models Why AI is Harder Than We Think

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.291743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f0bdea2-db8d-4924-b014-b67fb3794e51 · outbound

This paper cites D., Bender, E.

Potemkin Understanding in Large Language Models D., Bender, E

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.113972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4d8bd2d3-03dd-41a4-b40a-9090106f3e7f · outbound

This paper cites Language Models as Knowledge Bases?.

Potemkin Understanding in Large Language Models Language Models as Knowledge Bases?

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.430923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7fccb6c-5ef1-4c84-ad1c-c551ef3259a2 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Potemkin Understanding in Large Language Models Measuring and Narrowing the Compositionality Gap in Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.483348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c20d737-f59a-4e24-a439-fe41835ade21 · outbound

This paper cites AI and the Everything in the Whole Wide World Benchmark.

Potemkin Understanding in Large Language Models AI and the Everything in the Whole Wide World Benchmark

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.598191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8654d9be-99c3-404f-9f7e-8492fb9d6de5 · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International conference on machine learning.

Potemkin Understanding in Large Language Models Do imagenet classifiers generalize to imagenet? In International conference on machine learning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:35.017358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efe6e90d-51f8-4d07-8a1b-e0d52e412b8e · outbound

This paper cites BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices.

Potemkin Understanding in Large Language Models BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.722951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf318aeb-57fe-4762-ba40-f4bb1662706d · outbound

This paper cites why should i trust you?.

Potemkin Understanding in Large Language Models why should i trust you?

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.941864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 59283c74-da0b-44ab-9b13-74f0e61b7f41 · outbound

This paper cites T., Singh, S., and Guestrin, C.

Potemkin Understanding in Large Language Models T., Singh, S., and Guestrin, C

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.829170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d13db075-ea71-430e-a719-e1007ab4d794 · outbound

This paper cites T., Guestrin, C., and Singh, S.

Potemkin Understanding in Large Language Models T., Guestrin, C., and Singh, S

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.720084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1bbb4541-0b04-4f46-83a6-dcf80abbd733 · outbound

This paper cites Beyond Accuracy: Behavioral Testing of NLP models with CheckList.

Potemkin Understanding in Large Language Models Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:31.993054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e4ec196-89d8-4a30-a34d-ea2f8cffbdc8 · outbound

This paper cites Models in the wild: On corruption robustness of neural nlp systems.

Potemkin Understanding in Large Language Models Models in the wild: On corruption robustness of neural nlp systems

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.619733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 756778bd-8b0b-448d-86bc-517d7c6e4844 · outbound

This paper cites LLMs' Understanding of Natural Language Revealed.

Potemkin Understanding in Large Language Models LLMs' Understanding of Natural Language Revealed

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:30:33.173737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2cc69fd1-3dd3-41b0-864e-6fd6c07ae10a · outbound

This paper cites everyone wants to do the model work, not the data work.

Potemkin Understanding in Large Language Models everyone wants to do the model work, not the data work

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.533005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 216fad6c-c506-449f-8b23-6b8a3e88fbca · outbound

This paper cites H., Sch \"a rli, N., and Zhou, D.

Potemkin Understanding in Large Language Models H., Sch \"a rli, N., and Zhou, D

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.449212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 016182a3-c9ea-4dc4-b952-cf87cc9e0a17 · outbound

This paper cites and Choi, Y.

Potemkin Understanding in Large Language Models and Choi, Y

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.348695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14bf4e05-0d71-4d7b-82bf-cfe53b9e85b6 · outbound

This paper cites S., Wei, J., Chung, H.

Potemkin Understanding in Large Language Models S., Wei, J., Chung, H

Reference 57

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This paper cites Evaluating the Factual Consistency of Large Language Models Through News Summarization.

Potemkin Understanding in Large Language Models Evaluating the Factual Consistency of Large Language Models Through News Summarization

Reference 58

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This paper cites Evaluating the World Model Implicit in a Generative Model.

Potemkin Understanding in Large Language Models Evaluating the World Model Implicit in a Generative Model

Reference 59

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This paper cites Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function.

Potemkin Understanding in Large Language Models Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:32.594808Z

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Observation c157b09a-1b97-49fd-b6bb-facc38aef7bc · outbound

This paper cites On the planning abilities of large language models-a critical investigation.

Potemkin Understanding in Large Language Models On the planning abilities of large language models-a critical investigation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.145704Z

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Observation ee7bcbd8-a32b-439c-88b7-95a1bbc9be8c · outbound

This paper cites T., Heer, J., and Weld, D.

Potemkin Understanding in Large Language Models T., Heer, J., and Weld, D

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T22:30:34.056585Z

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Observation c4931cb1-6d7c-4e55-a8b2-411fe52458cc · outbound

This paper cites Kformer: Knowledge injection in transformer feed-forward layers.

Potemkin Understanding in Large Language Models Kformer: Knowledge injection in transformer feed-forward layers

Reference 63

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Observation 360749ae-3ffb-43ba-a9d3-9645dd258d68 · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

Potemkin Understanding in Large Language Models WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 64

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Observation 0468593e-4a93-42a7-8b83-bf4510fa936e · outbound

This paper cites Modifying Memories in Transformer Models.

Potemkin Understanding in Large Language Models Modifying Memories in Transformer Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T22:30:32.913920Z

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Pith citing papers

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The Serial Scaling Hypothesis cites this paper.

The Serial Scaling Hypothesis Potemkin Understanding in Large Language Models

Reference 68

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Observation b920a734-a6e2-4c40-8dfb-4b2310026e8f · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny Potemkin Understanding in Large Language Models

Reference 53

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Observation d3377b6c-ba71-43ca-a1e9-e72554f74392 · inbound

The wall confronting large language models cites this paper.

The wall confronting large language models Potemkin Understanding in Large Language Models

Reference 23

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Observation 4f151f5c-19ea-4c68-a39f-a7fdbbbd2f34 · inbound

A paradox of AI fluency cites this paper.

A paradox of AI fluency Potemkin Understanding in Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:46:52.218393Z

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Observation 23d6e3c3-18ed-4570-9836-ee238b71a00a · inbound

Faster AI, Uneven Frontier: Rapid Crossings, a Jagged Frontier, and the Repositioning of Human Judgment cites this paper.

Faster AI, Uneven Frontier: Rapid Crossings, a Jagged Frontier, and the Repositioning of Human Judgment Potemkin Understanding in Large Language Models

Reference 11

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