Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains | Paper Citation Record

Observation a880fcdf-e778-4d21-ba6e-20d9940fba67 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.279933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 26149e0d-8eb9-4332-9cdf-1e83082e0beb · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.251966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 69e900d0-3881-4fad-b979-c7b8c02ef36a · outbound

This paper cites DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:26.432157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93af01e5-b186-4d09-bc0b-ed487f9ce2b5 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.214076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 25b2ac38-73f5-4df4-8aa9-5024314f1f8a · outbound

This paper cites Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Can LLMs be Good Financial Advisors?: An Initial Study in Personal Decision Making for Optimized Outcomes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:26.452772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61406e0d-cd5e-4474-bc89-0a68d815bc69 · outbound

This paper cites Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:26.462971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45a6f4c-8e46-496e-a233-151fe4252cb5 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains TrustLLM: Trustworthiness in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:26.483687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5795aae-d647-4569-8fda-1ba1f972abf7 · outbound

This paper cites A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:26.494960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be1196a9-8564-4bb9-8da8-49f3a4345de4 · outbound

This paper cites inter-LLM.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains inter-LLM

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:28.318868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f23bc176-9711-4685-b663-d339fa1fd327 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.232411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fcb926c3-96df-4ffb-97dd-673da1d08d60 · outbound

This paper cites Steps to identify applicable statutes:.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains **Steps to identify applicable statutes:**

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:28.190983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 94e03118-fe17-4ab2-b797-8cb9ab65e53c · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.160320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7791fa25-4561-4345-8fbc-546fdaed95af · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.142593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de3bf739-697a-490e-a3f0-9b3f6e21f63c · outbound

This paper cites whoever commits murder shall be punished with death, or imprisonment for life, and shall also be liable to fine.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains whoever commits murder shall be punished with death, or imprisonment for life, and shall also be liable to fine

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:28.112304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4d33ba23-e7a4-4e8d-8670-10e10397c767 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.077951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 927185d7-9d21-4288-a6c7-ff997a00a325 · outbound

This paper cites description.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains description

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:28.049877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d817e839-b835-442d-9fc2-26f841ad5799 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:28.024352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d65fc533-890a-43e4-b611-ddac0a1c28c6 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.984873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e17bd87-59f1-4c0b-b725-302af9362708 · outbound

This paper cites He was not allowed to contact a lawyer or his family during his detention.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains He was not allowed to contact a lawyer or his family during his detention

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.956641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6a8f0740-9a9e-45aa-a46e-e252e7ee14da · outbound

This paper cites - The applicant was arrested and detained for three days without charge.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains - The applicant was arrested and detained for three days without charge

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.932149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4eec50cc-ee02-43b5-9bed-51b6f1710c28 · outbound

This paper cites - Articles 9, 10, and 11 of the UDHR are relevant to the applicant’s claims.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains - Articles 9, 10, and 11 of the UDHR are relevant to the applicant’s claims

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.908458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b450db24-e31f-4a9d-9b9e-af02896a47a8 · outbound

This paper cites The applicant’s detention without charge violated his right to liberty and security of person.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains The applicant’s detention without charge violated his right to liberty and security of person

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.877203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f392f4f4-5cca-4db6-ae02-b2946d5696eb · outbound

This paper cites Note 1: If you find any negative sentiment in the tweets, focus more on that.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Note 1: If you find any negative sentiment in the tweets, focus more on that

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.805082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f6a5dcb9-ca9b-4f59-88f1-14042d181e3c · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.785391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1726b8e5-dfdf-4bd5-8733-531390d1d511 · outbound

This paper cites AAPL is not a good investment.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains AAPL is not a good investment

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.761420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a3c82d35-a82a-4192-b504-d7418800a753 · outbound

This paper cites $AAPL - wall st. kicks off new year on lower note -> URL stock stocks stockaction.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains $AAPL - wall st. kicks off new year on lower note -> URL stock stocks stockaction

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.741246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5763c4e9-b4f1-46b5-81b6-2fc4cbc12747 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.851483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 941632f9-7eb9-4063-b11b-42bfa8fb6b83 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.828398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 84ece2b3-a47b-46de-9512-232835d66a5e · outbound

This paper cites Note 1: If you find any negative sentiment in the tweets, focus more on that.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Note 1: If you find any negative sentiment in the tweets, focus more on that

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.724048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd8a516a-dfbc-4ebb-8915-94a541ecd49a · outbound

This paper cites This dataset can be obtained from a variety of sources, such as online forums, medical records, or research studies.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains This dataset can be obtained from a variety of sources, such as online forums, medical records, or research studies

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.702811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de7805e5-9ae5-410b-a884-c8ff6b6edbfb · outbound

This paper cites This step involves removing punctuation, stop words, and other irrelevant characters from the text.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains This step involves removing punctuation, stop words, and other irrelevant characters from the text

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.682403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 80d80778-caab-42ed-8115-f3fb6698e5d6 · outbound

This paper cites The tokenized text data is then vectorized using a technique such as bag-of- words or TF-IDF.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains The tokenized text data is then vectorized using a technique such as bag-of- words or TF-IDF

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.659700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f7bc0273-954d-4748-82e6-5088d0d3d5e0 · outbound

This paper cites The dataset is then split into two sets: a training set and a testing set.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains The dataset is then split into two sets: a training set and a testing set

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.636967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d5d205a6-3ab7-4125-a1d0-33c32e5ae612 · outbound

This paper cites A machine learning algorithm, such as a support vector machine or a random forest, is then trained on the training set.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains A machine learning algorithm, such as a support vector machine or a random forest, is then trained on the training set

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.618215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5ac2b36-2b48-4353-bccd-1e8a40ea035a · outbound

This paper cites The performance of the machine learning algorithm is then evaluated on the testing set.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains The performance of the machine learning algorithm is then evaluated on the testing set

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.584748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 268de494-2e20-47b8-a405-79194624bad5 · outbound

This paper cites ""Predicts the severity of a text. Args: text: The text to predict the severity of. Returns: The predicted severity of the text.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains ""Predicts the severity of a text. Args: text: The text to predict the severity of. Returns: The predicted severity of the text

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.552372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 923e663c-a92c-49de-a497-b764d78dae2f · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.524645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8ecf88fb-ed96-4a3e-94ec-e8f3c7a2917d · outbound

This paper cites the," "and,.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains the," "and,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.496753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8e390a7d-2105-407a-91b3-7c3247430a93 · outbound

This paper cites Step 2: Feature Extraction.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Step 2: Feature Extraction

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.473524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c83830c-b4fa-4ed6-8782-0ed926557b25 · outbound

This paper cites TF-IDF (Term Frequency-Inverse Document Frequency) weighting can be used to emphasize the importance of tokens that are frequent in the given text but rare across a corpus of texts.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains TF-IDF (Term Frequency-Inverse Document Frequency) weighting can be used to emphasize the importance of tokens that are frequent in the given text but rare across a corpus of texts

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.438738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cd108928-6265-462d-a842-57613f1ffafc · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.409416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1b4018ac-83aa-4abc-bb86-8ace4253d939 · outbound

This paper cites Step 3: Model Training.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Step 3: Model Training

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.381773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a8993336-31f9-4df6-89d5-e0c4821daa18 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.344525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9ad614af-298a-4563-b742-3cd8002984b0 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.317031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e0193946-f164-44dc-acbc-e80d1b8a3b1f · outbound

This paper cites Step 4: Model Evaluation.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Step 4: Model Evaluation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.282073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 75239710-270f-43c7-931f-cde46b5f51ad · outbound

This paper cites Model Selection: The best performing model is selected based on the evaluation results.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Model Selection: The best performing model is selected based on the evaluation results

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:27.259188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b7d7a879-46a4-4020-b4db-8d991b2ae697 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.235953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bd6c878d-d87d-44d9-8a80-fd5871200520 · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.211535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8b0f13f7-2b49-4da4-ae3e-1e09f20ef9ac · outbound

This paper cites an unresolved cited work.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-12T13:35:27.181434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d23d2bc3-6da0-4eb4-8b75-4fcd36f00c55 · outbound

This paper cites In Findings of the Association for Com- putational Linguistics: EMNLP 2020 , pages 2898– 2904, Online.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains In Findings of the Association for Com- putational Linguistics: EMNLP 2020 , pages 2898– 2904, Online

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:28.350259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 62f74765-c04f-4edb-a3ce-4917e225c8bc · outbound

This paper cites Journal of Medical Systems, 47(1):33.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Journal of Medical Systems, 47(1):33

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:35:28.375561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 3828aa1d-342a-4b0e-8521-805e980eb4e0 · outbound

This paper cites Standards for Belief Representations in LLMs.

Can LLMs faithfully generate their layperson-understandable 'self'?: A Case Study in High-Stakes Domains Standards for Belief Representations in LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T13:35:26.443432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers