Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:30:32.913920Z
Paper Citation Record · LEDGER
Potemkin Understanding in Large Language Models
As of 7 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T15:20:14.933677Z
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
Unavailable: canonical work link unavailable.
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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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
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- 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 2026-08-07T06:34:17.273281+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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:30:34.232060Z
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.
Observation fc60529a-e377-4d7f-bff1-68ebb3aa1c42 · outbound
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7ad8acb-9e25-4e00-a2f2-9ec75fa9b2f0 · outbound
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
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9c5fe9e-7c31-43b3-91c9-c7e8ec64e601 · outbound
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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.
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
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.
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
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T22:30:33.948182Z
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.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation e47380ed-7f27-40ba-9c70-a07012ce052f · inbound
The Serial Scaling Hypothesis cites this paper.
The Serial Scaling Hypothesis Potemkin Understanding in Large Language Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:12:02.504578Z
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.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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
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- arxiv_id, observed 2026-05-11T23:46:52.218393Z
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.
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
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T07:32:36.632338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.