Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-17T22:30:44.520703Z
Paper Citation Record · LEDGER
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
As of 5 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 48 inbound Pith citation observations for arXiv:2308.05374.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:47.219443Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
100 of 300 outbound references displayed
- verified exact48
- verified fuzzy43
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch7
External citation measurements
45
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation e7b3b27a-885b-4a48-b591-c6d8e5609ebc · outbound
This paper cites Training language models to follow instructions with human feedback.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Training language models to follow instructions with human feedback
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.894441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 074ccdfc-8579-498d-ad3e-0ba673391cb4 · outbound
This paper cites Alignment of Language Agents.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Alignment of Language Agents
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.639582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 599939dd-21a7-481e-8303-9f1a028499e2 · outbound
This paper cites an unresolved cited work.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T22:32:11.734435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f0920c74-d090-4fed-9a42-ca9d7d2cdc3d · outbound
This paper cites On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment On the dangers of stochastic parrots: Can language models be too big? In Proceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.871653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 733298b1-657f-4e7c-b01d-c3d164455c59 · outbound
This paper cites Language models are unsupervised multitask learners.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Language models are unsupervised multitask learners
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.731374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 377695cb-39cd-43e6-883f-3cd9547023b6 · outbound
This paper cites Gpt-4 system card, https://cdn.openai.com/papers/gpt-4-system-card.pdf.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Gpt-4 system card, https://cdn.openai.com/papers/gpt-4-system-card.pdf
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.777739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 35245115-8e4d-491f-9450-c60a3d57972a · outbound
This paper cites an unresolved cited work.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Unresolved cited work
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.643962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ac30acc3-35b2-48dd-aeac-1b05e6c424d3 · outbound
This paper cites Language models are few-shot learners.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Language models are few-shot learners
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.711432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b0ad4d0-fd3d-457c-99b5-a04470f7ab7d · outbound
This paper cites A systematic review of the relationship between internet use, self-harm and suicidal behaviour in young people: The good, the bad and the unknown.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A systematic review of the relationship between internet use, self-harm and suicidal behaviour in young people: The good, the bad and the unknown
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.876772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8638219-70de-4c9f-af91-c98f7ad36616 · outbound
This paper cites The regulation of pornography and child pornography on the internet.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment The regulation of pornography and child pornography on the internet
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.912182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6954d4d9-84e2-43e5-9c45-1723195fd4ec · outbound
This paper cites Dynamics of hate based internet user networks.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Dynamics of hate based internet user networks
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.781905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 82b4a395-7131-4e3d-9c4b-d4e84332410e · outbound
This paper cites an unresolved cited work.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-17T22:32:11.891712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c554d42c-d2ea-41c0-9720-502dedd13109 · outbound
This paper cites Is the internet causing political polarization? evidence from demographics.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Is the internet causing political polarization? evidence from demographics
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.685217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3e5d74c5-3251-42c7-b471-a0c7d2d3ed2a · outbound
This paper cites Regulating the internet of things: first steps toward managing discrimination, privacy, security and consent.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Regulating the internet of things: first steps toward managing discrimination, privacy, security and consent
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.824455Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2e045ec-3e68-4c36-82af-00cf8d73636b · outbound
This paper cites Normative challenges of identification in the internet of things: Privacy, profiling, discrimination, and the gdpr.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Normative challenges of identification in the internet of things: Privacy, profiling, discrimination, and the gdpr
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.773857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 38de5a8c-6c78-47e7-a106-2dad26422fda · outbound
This paper cites Misuse of the internet by pedophiles: Implications for law enforcement and probation practice.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Misuse of the internet by pedophiles: Implications for law enforcement and probation practice
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.688212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5fc96d16-bafd-4081-9ef6-dfafcf2131c6 · outbound
This paper cites Controversies and legal issues of prescribing and dispensing medications using the internet.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Controversies and legal issues of prescribing and dispensing medications using the internet
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.705818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 42bb7ee8-66ef-4ddb-af43-0137b93520fb · outbound
This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.648712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 41a85bc6-a9fa-4285-810e-9a3f3ed2426b · outbound
This paper cites Deep reinforcement learning from human preferences.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Deep reinforcement learning from human preferences
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.736043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2bf38a14-e13b-4237-9b32-e5845148b276 · outbound
This paper cites A General Language Assistant as a Laboratory for Alignment.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A General Language Assistant as a Laboratory for Alignment
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.653923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dab974cb-08be-4cd4-a9c8-6bbce4451e7d · outbound
This paper cites Ethical and social risks of harm from Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Ethical and social risks of harm from Language Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.659091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 68fcf7ca-44f1-45fd-acb4-e2f5ca68447e · outbound
This paper cites Evaluating the Social Impact of Generative AI Systems in Systems and Society.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Evaluating the Social Impact of Generative AI Systems in Systems and Society
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.665665Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4db573e6-6781-430a-b62c-0d42808378ed · outbound
This paper cites Holistic Evaluation of Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Holistic Evaluation of Language Models
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.671076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dcb24634-105e-4a14-aba2-a73be0d84226 · outbound
This paper cites Eight Things to Know about Large Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Eight Things to Know about Large Language Models
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.676823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation be754f5e-92f5-4c10-99f3-0424eca61794 · outbound
This paper cites Deep learning.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Deep learning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.690979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7313c817-426b-44ce-a84d-82f5fb5b38a8 · outbound
This paper cites The curious case of neural text degeneration.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment The curious case of neural text degeneration
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.693478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7a3e7d73-2574-481a-811f-7674ee1a47d5 · outbound
This paper cites Six Challenges for Neural Machine Translation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Six Challenges for Neural Machine Translation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.682327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8955d826-60aa-4e4b-8e3c-0a45695e98e7 · outbound
This paper cites Emergent Abilities of Large Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Emergent Abilities of Large Language Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.687309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation abff574e-d25a-4517-8ade-9712a76b1bb4 · outbound
This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.692311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75882525-c7df-41a0-baf0-a52927992385 · outbound
This paper cites Scaling Instruction-Finetuned Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Scaling Instruction-Finetuned Language Models
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.696234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4a759d02-075c-4282-8e0e-5b3b5ea4f6db · outbound
This paper cites Attention is all you need.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Attention is all you need
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.649849Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ed9ec4a3-5794-4707-91b6-b51f5735a742 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.704064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb940b30-38b4-4d3e-8b96-95adac8a6bf0 · outbound
This paper cites Universal Language Model Fine-tuning for Text Classification.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Universal Language Model Fine-tuning for Text Classification
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.708508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6412e7f4-8f84-4fa6-981f-9f387688205d · outbound
This paper cites Improving language understanding by generative pre-training.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Improving language understanding by generative pre-training
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.654546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 20e0c407-28f6-454b-8caf-4fb1cfdb9431 · outbound
This paper cites OPT: Open Pre-trained Transformer Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment OPT: Open Pre-trained Transformer Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.714012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 13ba5b76-0f13-4951-91ec-62df1b50a5e9 · outbound
This paper cites GLM-130B: An Open Bilingual Pre-trained Model.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment GLM-130B: An Open Bilingual Pre-trained Model
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.718591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7cc0abe7-9371-4f69-8f79-4607f998d12d · outbound
This paper cites DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.724119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 056017d7-d5d7-47ab-9ffb-8f3245dfb36e · outbound
This paper cites Proximal Policy Optimization Algorithms.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Proximal Policy Optimization Algorithms
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.729494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e61a961f-06fa-44a7-8530-96ed0368ac11 · outbound
This paper cites RRHF: Rank Responses to Align Language Models with Human Feedback without tears.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.734358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e655aed-d9e9-469d-9bd9-702e859d5918 · outbound
This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T00:46:57.049485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5684575-2abb-4eba-9531-7bb4ae9352fb · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.747264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5740a7aa-827d-420b-86ee-d39e1e11a805 · outbound
This paper cites Training Socially Aligned Language Models on Simulated Social Interactions.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Training Socially Aligned Language Models on Simulated Social Interactions
Reference 42
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.753050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 69de4e5d-5f92-449c-aefc-fb822bba4926 · outbound
This paper cites Large language models and software as a medical device.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Large language models and software as a medical device
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.729216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f0cc5c94-1e8a-4025-9647-4eca667455e6 · outbound
This paper cites Are large language models ready for healthcare? a comparative study on clinical language understanding.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Are large language models ready for healthcare? a comparative study on clinical language understanding
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.673054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aa371ff7-659b-4a6d-847d-68297efcb110 · outbound
This paper cites How well do large language models support clinician information needs? https://hai.stanford.edu/news/how-well-do-large-language-models-support-clinician-information-needs.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment How well do large language models support clinician information needs? https://hai.stanford.edu/news/how-well-do-large-language-models-support-clinician-information-needs
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.659264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d8dbb802-47da-42d0-adae-afee8a26e62c · outbound
This paper cites Bloomberggpt: A large language model for finance.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Bloomberggpt: A large language model for finance
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.740017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6f63398e-0733-4d21-9e4c-260c634d1e5f · outbound
This paper cites Fingpt: Open-source financial large language models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Fingpt: Open-source financial large language models
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.675286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bffb1347-4fbb-4f60-8697-6322eb238b70 · outbound
This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.758222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 629db029-f5fd-4806-bdfe-3d96c7b2fb01 · outbound
This paper cites A Categorical Archive of ChatGPT Failures.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A Categorical Archive of ChatGPT Failures
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.763063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9341be85-4f1f-4bd4-b61d-389265895027 · outbound
This paper cites Chatgpt and software testing education: Promises & perils.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Chatgpt and software testing education: Promises & perils
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.715487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 147a402b-beef-4e8b-bda9-d0bd9f5bc20d · outbound
This paper cites Fake news detection on social media: A data mining perspective.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Fake news detection on social media: A data mining perspective
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.644842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04c7151b-6645-4811-a796-62c9023a5dee · outbound
This paper cites Some Like it Hoax: Automated Fake News Detection in Social Networks.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Some Like it Hoax: Automated Fake News Detection in Social Networks
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.767969Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 15fb74a1-e99b-4151-b9af-dfb4982d8cbf · outbound
This paper cites Quantifying Memorization Across Neural Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Quantifying Memorization Across Neural Language Models
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.772708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e6c0b4f3-4fa6-4656-a88f-582b95957ddd · outbound
This paper cites A closer look at memorization in deep networks.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A closer look at memorization in deep networks
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.661001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3a4e9f9f-e790-4517-8d2b-2cdd9feeb8d7 · outbound
This paper cites Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.777570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d4c38154-7b51-4e90-8a62-3f27536484b5 · outbound
This paper cites When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:33:08.656299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9eecb229-586c-4a9a-b0f9-184aa2c1c849 · outbound
This paper cites Unsupervised dense information retrieval with contrastive learning.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Unsupervised dense information retrieval with contrastive learning
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.702781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 874910e9-8622-4fa1-a696-2f4c0ec2c1e2 · outbound
This paper cites Prompting GPT-3 To Be Reliable.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Prompting GPT-3 To Be Reliable
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.785699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c79ad24d-822f-4391-96fd-683afbd4f01d · outbound
This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Exploring the limits of transfer learning with a unified text-to-text transformer
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.904933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 34706dc6-e7cb-4b52-9cb0-9098d0d4fc4d · outbound
This paper cites Survey of hallucination in natural language generation.ACM Computing Surveys, 55(12):1–38.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Survey of hallucination in natural language generation.ACM Computing Surveys, 55(12):1–38
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.907967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 808a0a7d-abb3-4356-bfdf-aab5754c891a · outbound
This paper cites Artificial hallucinations in chatgpt: implications in scientific writing.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Artificial hallucinations in chatgpt: implications in scientific writing
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.889238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 72dc64b8-d5fd-411b-8a07-d6af7aa4477b · outbound
This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.789662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5e15fc46-ee83-421a-b1db-b0273c26512d · outbound
This paper cites False memories and confabulation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment False memories and confabulation
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.866585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02fc6cbc-f215-4fa1-8e02-00973a04b52d · outbound
This paper cites Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.794254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6456f4ca-bc64-4d26-adef-1b49796976e8 · outbound
This paper cites Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.799044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 66713c30-0eef-4360-816b-c1bb504bdd78 · outbound
This paper cites Why Does ChatGPT Fall Short in Providing Truthful Answers?.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Why Does ChatGPT Fall Short in Providing Truthful Answers?
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.803564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 670cca5a-9b76-4d8a-a695-eed0ac67b77b · outbound
This paper cites Modeling fluency and faithfulness for diverse neural machine translation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Modeling fluency and faithfulness for diverse neural machine translation
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.871981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e9dfed57-79f4-458e-a4ce-25730ad8e526 · outbound
This paper cites Ensure the correctness of the summary: Incorporate entailment knowledge into abstractive sentence summarization.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Ensure the correctness of the summary: Incorporate entailment knowledge into abstractive sentence summarization
Reference 68
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.869147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c33b5f03-5f9a-4417-ab3a-ff9fcec4f355 · outbound
This paper cites Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
Reference 69
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.807993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c4105137-bd66-4b69-9b4f-b738a16b0e35 · outbound
This paper cites Entity-Based Knowledge Conflicts in Question Answering.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Entity-Based Knowledge Conflicts in Question Answering
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.812356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6a1dcc8c-42ec-4d4a-a8f1-975e1399a1ff · outbound
This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Reference 71
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.816515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 14c6af36-9ca5-4d92-9fa0-aae38dd8018c · outbound
This paper cites Rouge: A package for automatic evaluation of summaries.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Rouge: A package for automatic evaluation of summaries
Reference 72
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.886412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 03f5684b-caa5-4397-afa5-63474dc81caf · outbound
This paper cites Bleu: a method for automatic evaluation of machine translation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Bleu: a method for automatic evaluation of machine translation
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.916660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee256259-4fd4-414d-9815-2272e9f1779d · outbound
This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment TruthfulQA: Measuring How Models Mimic Human Falsehoods
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.820343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 74ed435e-2d94-42e8-93a9-b731b60e19ed · outbound
This paper cites Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Rome was built in 1776: A Case Study on Factual Correctness in Knowledge-Grounded Response Generation
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.824605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2950262e-b343-48e0-9476-1b4dadae70d9 · outbound
This paper cites $Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment $Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering
Reference 76
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.829560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b32d646a-b87a-4cec-90de-9aa30812901b · outbound
This paper cites Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.833676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78c1c276-8ea6-47bf-963d-1d545e771a40 · outbound
This paper cites A simple recipe towards reducing hallucination in neural surface realisation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment A simple recipe towards reducing hallucination in neural surface realisation
Reference 78
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.839843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ce1f4cc0-3965-4d70-8760-102f92d4e621 · outbound
This paper cites Faithful to the original: Fact aware neural abstractive summarization.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Faithful to the original: Fact aware neural abstractive summarization
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.722181Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e635715-428c-415b-b004-afa6b03104a6 · outbound
This paper cites ToTTo: A Controlled Table-To-Text Generation Dataset.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment ToTTo: A Controlled Table-To-Text Generation Dataset
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.837758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0a3f5504-e489-403a-8f6e-5d560ba8626e · outbound
This paper cites The Curious Case of Hallucinations in Neural Machine Translation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment The Curious Case of Hallucinations in Neural Machine Translation
Reference 81
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:30:44.842031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b9a7c6a6-42e4-42f4-b577-5eff600e7ed8 · outbound
This paper cites Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.846293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4b76fccb-fa4a-4a2d-bbb5-f3c51739b498 · outbound
This paper cites Slot-consistent nlg for task-oriented dialogue systems with iterative rectification network.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Slot-consistent nlg for task-oriented dialogue systems with iterative rectification network
Reference 83
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.879562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fa5428b4-3014-45b4-ad57-2ae0ba3bd8a0 · outbound
This paper cites Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Reference 84
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.850322Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bcb8eb64-85fe-4029-8b5d-db0c7e331a60 · outbound
This paper cites Incorporating External Knowledge into Machine Reading for Generative Question Answering.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Incorporating External Knowledge into Machine Reading for Generative Question Answering
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.854405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29579a49-c9ec-4637-8fda-6f70ab426d05 · outbound
This paper cites Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.858762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02231977-b0b5-4d61-88a5-985c11f64d50 · outbound
This paper cites Retrieval Augmentation Reduces Hallucination in Conversation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Retrieval Augmentation Reduces Hallucination in Conversation
Reference 87
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.863027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 56916e3c-b0c6-491b-b26f-c02427b544c8 · outbound
This paper cites Enhancing Factual Consistency of Abstractive Summarization.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Enhancing Factual Consistency of Abstractive Summarization
Reference 88
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.867268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b77f43f-aa3e-4de7-beb3-0e3c31bd95b6 · outbound
This paper cites Consistency Analysis of ChatGPT.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Consistency Analysis of ChatGPT
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.871279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c8924953-b885-402a-92be-5c02e67ddf98 · outbound
This paper cites Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.875331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9c73d7b8-2ced-4762-bb4d-3da0a5d40bfd · outbound
This paper cites Measuring and improving consistency in pretrained language models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Measuring and improving consistency in pretrained language models
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:32:11.882395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5dd65978-ec96-44b1-8742-11c0bf1d85aa · outbound
This paper cites Sparks of artificial general intelligence: Early experiments with gpt-4.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Sparks of artificial general intelligence: Early experiments with gpt-4
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:30:45.117582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9fd397c7-18d8-45b3-94fd-b118aade8fd9 · outbound
This paper cites Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.880185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d43e9670-7748-49e1-bd15-4263adb43533 · outbound
This paper cites Prevent the Language Model from being Overconfident in Neural Machine Translation.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Prevent the Language Model from being Overconfident in Neural Machine Translation
Reference 94
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.884667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 26cbaf25-ab1f-4d5a-85e2-b1cd377ab19e · outbound
This paper cites Examining emergent communities and social bots within the polarized online vaccination debate in twitter.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Examining emergent communities and social bots within the polarized online vaccination debate in twitter
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:30:45.128497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b7969b57-ac70-4196-94b8-33103c4273b1 · outbound
This paper cites Reducing conversational agents’ overconfi- dence through linguistic calibration.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Reducing conversational agents’ overconfi- dence through linguistic calibration
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:30:45.132002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ecada0a-95cb-49fe-b77d-1cfaa1f99243 · outbound
This paper cites On calibration of modern neural networks.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment On calibration of modern neural networks
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-17T22:30:45.135558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9fdc70a5-57a0-412d-aa66-1dd7164fce55 · outbound
This paper cites Calibration of Pre-trained Transformers.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Calibration of Pre-trained Transformers
Reference 98
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 895642fb-a3ad-465c-b024-12598f92d6d8 · outbound
This paper cites Language Models (Mostly) Know What They Know.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Language Models (Mostly) Know What They Know
Reference 99
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.893945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5e4f8a73-8390-4d70-a51a-4f0b64b99cc0 · outbound
This paper cites Teaching Models to Express Their Uncertainty in Words.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Teaching Models to Express Their Uncertainty in Words
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:44.898544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 0c1e245c-a9df-41ef-8817-a9c7de9009b5 · inbound
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 200
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T02:46:27.769211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation eff41bd8-5cc5-4d29-80e3-f0366c3c759a · inbound
Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.
Data-Centric Foundation Models in Computational Healthcare: A Survey Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 180
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5c4d3f45-cc05-44bc-8fc8-e190eb8f5f1b · inbound
TrustLLM: Trustworthiness in Large Language Models cites this paper.
TrustLLM: Trustworthiness in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T11:17:08.440377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 111e065d-3b4d-4da0-bc9d-922e2214f7cd · inbound
A Survey on Knowledge Distillation of Large Language Models cites this paper.
A Survey on Knowledge Distillation of Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 124
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b6f4c71f-f7f6-4e20-a730-1d0debc45709 · inbound
A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.
A Survey on the Memory Mechanism of Large Language Model based Agents Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T07:21:39.700353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cb1fec76-ea68-4c16-8075-1d38f23c817e · inbound
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence cites this paper.
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T21:58:29.267806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 06c80a18-f5f5-40c8-867d-a9375cc639f1 · inbound
Large Language Model-Based Agents for Software Engineering: A Survey cites this paper.
Large Language Model-Based Agents for Software Engineering: A Survey Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 285
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:35:48.559608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6b95cbd2-9fbf-4292-9d87-31c568a39992 · inbound
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T21:08:25.850865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c59c3462-0e0c-45dc-a861-7ab0345af97a · inbound
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 102
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T20:58:26.193034Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9459b701-cd90-4add-a3ec-386afba2657b · inbound
VoiceBench: Benchmarking LLM-Based Voice Assistants cites this paper.
VoiceBench: Benchmarking LLM-Based Voice Assistants Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:50:13.995652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e092785-dddf-40bf-9b52-4e4d4e51c9c4 · inbound
Why Do Multi-Agent LLM Systems Fail? cites this paper.
Why Do Multi-Agent LLM Systems Fail? Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:42:58.329329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04421911-0776-4065-9396-b010ad2bda3e · inbound
AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges cites this paper.
AI Failures in the Eyes of the Downstream Developer: A First Look at Concerns, Practices, and Challenges Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 75
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T23:15:13.145782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 795b9480-2c04-4ebe-a98b-a3d537712592 · inbound
A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents cites this paper.
A Closer Look at the Existing Risks of Generative AI: Mapping the Who, What, and How of Real-World Incidents Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T14:12:22.121283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3458447c-c949-4e73-86cc-f05cb9dc9d8a · inbound
Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.
Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 92
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:38:47.219443Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a2d3a5b-5edf-4b34-abff-04629fb200f2 · inbound
Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey cites this paper.
Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:26:33.452715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9425bf27-1adf-460c-9dd8-faba0bf5efc8 · inbound
Parasites in the Toolchain: A Large-Scale Analysis of Attacks on the MCP Ecosystem cites this paper.
Parasites in the Toolchain: A Large-Scale Analysis of Attacks on the MCP Ecosystem Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T18:46:45.269067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 64bd5f15-fa7e-4f0d-b2ed-e26b626adbd3 · inbound
MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security cites this paper.
MoGU V2: Toward a Higher Pareto Frontier Between Model Usability and Security Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:09:41.513177Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c987e023-83b4-4036-b350-9cf674e405a9 · inbound
EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models cites this paper.
EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:03:16.359879Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f07f4fb3-2299-4f3c-8eb6-6e9a0d72efd6 · inbound
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models cites this paper.
GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:33:54.414142Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e96ec60c-ca14-4e20-b5aa-047a8f2406a0 · inbound
Participatory AI: A Scandinavian Approach to Human-Centered AI cites this paper.
Participatory AI: A Scandinavian Approach to Human-Centered AI Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:37:26.708756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7384618-bb2e-40ea-8c1f-d7b2023f0900 · inbound
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.
Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T20:54:21.558206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fbc28f63-343f-40e5-aace-bcbe2c61c29f · inbound
Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles cites this paper.
Understanding AI Trustworthiness: A Scoping Review of AIES & FAccT Articles Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-18T05:00:54.818170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55380fa7-9fa9-4b1c-b990-133244ef57da · inbound
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models cites this paper.
OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T22:30:23.271111Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c454e0c4-d206-4f71-b36f-2dbe54ee528b · inbound
Epistemic Familiarity is Associated With Belief Stability in Large Language Models cites this paper.
Epistemic Familiarity is Associated With Belief Stability in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T20:37:39.306149Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation db5f045e-7fe8-4033-b0a5-b173627bf467 · inbound
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs cites this paper.
Guardian-as-an-Advisor: Advancing Next-Generation Guardian Models for Trustworthy LLMs Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T06:46:36.850370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 380c624b-6948-44df-948d-29208e7b1e1c · inbound
The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training cites this paper.
The Art of (Mis)alignment: How Fine-Tuning Methods Effectively Misalign and Realign LLMs in Post-Training Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T00:45:50.646401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 693d6405-997d-48eb-b461-7c3aa8be26be · inbound
AlignCultura: Towards Culturally Aligned Large Language Models? cites this paper.
AlignCultura: Towards Culturally Aligned Large Language Models? Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T12:56:04.622915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4c24c063-ffcb-42ef-a350-8708f222ee3a · inbound
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control cites this paper.
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T13:01:03.983287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 563cc766-29b8-4e3f-891b-8f3890b22cd9 · inbound
Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection cites this paper.
Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-01T08:55:35.003533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4e3fd481-1945-446f-8eb3-e7828b980e7b · inbound
Math Education Digital Shadows for Investigating Learning with GenAI: Mathematics Performance, Anxiety, and Confidence in LLMs cites this paper.
Math Education Digital Shadows for Investigating Learning with GenAI: Mathematics Performance, Anxiety, and Confidence in LLMs Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:36:30.514850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation af4d22c6-cdd9-4048-a40e-3bfe409b1587 · inbound
Math Education Digital Shadows for Investigating Learning with GenAI: Mathematics Performance, Anxiety, and Confidence in LLMs cites this paper.
Math Education Digital Shadows for Investigating Learning with GenAI: Mathematics Performance, Anxiety, and Confidence in LLMs Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T15:14:39.209055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c8738c3-8dc8-4df4-b0ff-bec3f9f4aa1e · inbound
Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior cites this paper.
Mapping how LLMs debate societal issues when shadowing human personality traits, sociodemographics and social media behavior Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:06:29.224052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cdf4023b-c91c-4f89-94e5-ada49c956573 · inbound
Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA cites this paper.
Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:16:07.820357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 883636bf-cbfa-40da-8a7d-62ff0b112b82 · inbound
Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination cites this paper.
Vocabulary Hijacking in LVLMs: Unveiling Critical Attention Heads by Excluding Inert Tokens to Mitigate Hallucination Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:16:24.376482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 02f4f25c-da49-4333-bc6c-aac8e2b756cb · inbound
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks cites this paper.
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:31:23.886120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29880c29-86e2-4153-8db0-a59042aec9c4 · inbound
Domain Restriction via Multi SAE Layer Transitions cites this paper.
Domain Restriction via Multi SAE Layer Transitions Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T06:02:23.746342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c2f96c2b-78e7-4763-b0d0-02232150cd3d · inbound
Common-agency Games for Multi-Objective Test-Time Alignment cites this paper.
Common-agency Games for Multi-Objective Test-Time Alignment Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T06:15:06.339204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f4fda42b-7ded-4d19-b72b-17fee65f0da7 · inbound
Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.
Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 80
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T21:52:48.315527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 73b28cf4-e67d-445a-8527-fa7aabc70d33 · inbound
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security cites this paper.
Towards trustworthy agentic AI: a comprehensive survey of safety, robustness, privacy, and system security Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 17
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T19:45:01.681883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0655bad0-9c60-4156-aa08-b56a0a44a312 · inbound
Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles cites this paper.
Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T06:03:08.892014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f8c51b30-888b-4b18-b650-8a1294c4313e · inbound
DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation cites this paper.
DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T20:46:13.954372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a55e550-bcac-4e6e-93f2-5e0dd933a71e · inbound
Beyond Uniform Forgetting: A Study of Sequential Direct Preference Optimization Across Preference Settings cites this paper.
Beyond Uniform Forgetting: A Study of Sequential Direct Preference Optimization Across Preference Settings Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T03:29:29.888170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b8cf4919-f76a-4102-807e-423245d1c865 · inbound
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA cites this paper.
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T03:39:30.306955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5d1b266d-6424-4697-b00c-d40167d299d4 · inbound
Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models cites this paper.
Answer Engineering: Local Trajectory Editing for Protocol-Constrained Decision Making in Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-26T14:19:31.006531Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 33e7de85-4986-4395-ad31-e415250c34d9 · inbound
Test-Time Scaling via Error Localization cites this paper.
Test-Time Scaling via Error Localization Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T07:28:17.063799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51d48a3c-1fd4-4576-a9c5-e50ea845fffe · inbound
Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning cites this paper.
Knowing When to Quit: Diagnosing and Training LLMs to Abort Futile Reasoning Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:36:49.140976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab61dac6-8463-454b-80d2-2f3b800d43f0 · inbound
Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.
Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 79
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:56:17.217228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0548d452-5576-43af-bac4-3635a75d744b · inbound
Risky Business: Measuring The Faithfulness-Safety Tension cites this paper.
Risky Business: Measuring The Faithfulness-Safety Tension Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:40:56.184932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.