Paper Citation Record · LEDGER

GPT-4 Technical Report

As of 4 August 2026, this Paper Citation Record lists 100 of 128 outbound references and 100 inbound Pith citation observations for arXiv:2303.08774.

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

pith.paper-citation-record.v1
2303.08774 v6

Coverage vector

measured 100 of 128 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T09:49:30.972363Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 100 of 3253 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:37:46.361856Z

Reference resolution

100 of 128 outbound references displayed

verified exact1
verified fuzzy94
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2c8d2ae-515e-43a5-be82-75574225cbdc · outbound

This paper cites Understanding the Capabilities, Limita- tions, and Societal Impact of Large Language Models.

GPT-4 Technical Report Understanding the Capabilities, Limita- tions, and Societal Impact of Large Language Models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.770651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cf03f46b-c5ab-4b8b-9eb2-aeae5100fcb1 · outbound

This paper cites Introducing the new Bing.

GPT-4 Technical Report Introducing the new Bing

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.776246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 81449993-8bbb-4fcd-a7d2-08052ed5e9d3 · outbound

This paper cites WebGPT: Improving the factual accuracy of language models through web browsing.

GPT-4 Technical Report WebGPT: Improving the factual accuracy of language models through web browsing

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.191333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 712ec15e-3dea-4d8d-96bd-6ced64803733 · outbound

This paper cites ACT-1: Transformer for Actions – Adept.

GPT-4 Technical Report ACT-1: Transformer for Actions – Adept

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.195445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b191f126-230d-4dac-b89d-3bcc1613abb5 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

GPT-4 Technical Report Evaluating Large Language Models Trained on Code

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.200192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4ebd41cb-d3d0-4164-9948-5880a07971a8 · outbound

This paper cites Ethical and social risks of harm from Language Models.

GPT-4 Technical Report Ethical and social risks of harm from Language Models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.207917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 09673c04-f70e-4196-9587-b82fabacb949 · outbound

This paper cites Release Strategies and the Social Impacts of Language Models.

GPT-4 Technical Report Release Strategies and the Social Impacts of Language Models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.219335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7a704b31-07f5-41d5-8006-7eed9675f917 · outbound

This paper cites Improving language understanding with unsupervised learning.

GPT-4 Technical Report Improving language understanding with unsupervised learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.223630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f80ef8b8-d381-40c5-9e24-46f43f19a3cc · outbound

This paper cites Better language models and their implications.

GPT-4 Technical Report Better language models and their implications

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.234154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 358f656b-25fe-415e-9020-e4c633438cae · outbound

This paper cites Language Models are Few-Shot Learners.

GPT-4 Technical Report Language Models are Few-Shot Learners

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.240773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 96aab0e5-5f4b-4d0d-92d8-f68907401b30 · outbound

This paper cites Planning for AGI and beyond.

GPT-4 Technical Report Planning for AGI and beyond

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.243930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 96056b6b-c6f5-442f-a189-4f8b3b87dd94 · outbound

This paper cites Training language models to follow instructions with human feedback.

GPT-4 Technical Report Training language models to follow instructions with human feedback

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.249158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 98855cba-28ce-497d-a4f6-5101efd51046 · outbound

This paper cites Deep reinforcement learning from human preferences.

GPT-4 Technical Report Deep reinforcement learning from human preferences

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.254850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bc7bd302-1134-46c6-9448-a99e0f0be61a · outbound

This paper cites Model Cards for Model Reporting.

GPT-4 Technical Report Model Cards for Model Reporting

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.258918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 77ad5581-6100-49a9-8eea-0f91a3e59b38 · outbound

This paper cites System Cards, a new resource for under- standing how AI systems work.

GPT-4 Technical Report System Cards, a new resource for under- standing how AI systems work

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.265109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8d35ee09-1288-4d06-9cef-50a1d194c920 · outbound

This paper cites DALL ·E 2 Preview - Risks and Limitations.

GPT-4 Technical Report DALL ·E 2 Preview - Risks and Limitations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.268130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f9e35b4a-6c2c-4028-b7fc-c829ffd75697 · outbound

This paper cites Diﬀerential Technology Development: A Responsible Innovation Principle for Navigating Technology Risks.

GPT-4 Technical Report Diﬀerential Technology Development: A Responsible Innovation Principle for Navigating Technology Risks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.276115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b6739e4e-2acd-4ae6-bfee-2ddc14edf01f · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

GPT-4 Technical Report Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.279135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 24f81e22-f495-4ee8-948a-d0ea3975c34c · outbound

This paper cites Discovering Language Model Behaviors with Model-Written Evaluations.

GPT-4 Technical Report Discovering Language Model Behaviors with Model-Written Evaluations

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.283889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 50142625-5c26-474b-8ccc-41bf06b17476 · outbound

This paper cites an unresolved cited work.

GPT-4 Technical Report Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:17:18.287720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5ab42efb-84fd-4aa5-9f0f-6290ccd39830 · outbound

This paper cites Lessons learned on language model safety and misuse.

GPT-4 Technical Report Lessons learned on language model safety and misuse

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.292426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1031c899-f449-41c2-8f4d-7d776793c717 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

GPT-4 Technical Report Language Models are Unsupervised Multitask Learners

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.298916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 256b029c-1f7b-4eb8-ab1e-475d12fd1d19 · outbound

This paper cites an unresolved cited work.

GPT-4 Technical Report Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:17:18.301964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f624c085-0cd7-4e92-b09d-4d03755c2804 · outbound

This paper cites Taxonomy of Risks posed by Language Models.

GPT-4 Technical Report Taxonomy of Risks posed by Language Models

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.307040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f251e3f5-cfea-497c-9feb-0861a10f79c2 · outbound

This paper cites Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets.

GPT-4 Technical Report Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.311081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a2985935-15b8-411e-bd8f-15444cd0ea8e · outbound

This paper cites Toward Comprehensive Risk Assessments and Assurance of AI-Based Systems.

GPT-4 Technical Report Toward Comprehensive Risk Assessments and Assurance of AI-Based Systems

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.313741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 97393b4f-d0bc-4093-8b0d-d9eecea921a5 · outbound

This paper cites Toward Trustworthy AI Development: Mechanisms for Supporting Veriﬁable Claims.

GPT-4 Technical Report Toward Trustworthy AI Development: Mechanisms for Supporting Veriﬁable Claims

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.319395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0861bcf1-982a-46e1-b7d7-21ea8a8dfa9d · outbound

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

GPT-4 Technical Report Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.326125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7d48a6b4-de1a-4420-9c1c-2a24ba8b0453 · outbound

This paper cites Red Teaming Language Models with Language Models.

GPT-4 Technical Report Red Teaming Language Models with Language Models

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.329231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 90248292-a591-4787-ab97-d03576ee44fc · outbound

This paper cites A Hazard Analysis Framework for Code Synthesis Large Language Models.

GPT-4 Technical Report A Hazard Analysis Framework for Code Synthesis Large Language Models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.334155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1a67c247-2f15-4f72-993b-abe8b2fb6cc1 · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

GPT-4 Technical Report On Faithfulness and Factuality in Abstractive Summarization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.336793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 10d66630-e1e4-452c-a8e6-d23d3a38b338 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human False- hoods.

GPT-4 Technical Report TruthfulQA: Measuring How Models Mimic Human False- hoods

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.341844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation be1254d3-f8c8-4f2c-afeb-a5c14e32a8b3 · outbound

This paper cites Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk.

GPT-4 Technical Report Forecasting potential misuses of language models for disinformation campaigns and how to reduce risk

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.345886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 138c1c4e-7ec7-4fab-b2e2-9dbac9511a76 · outbound

This paper cites Truthful AI: Developing and governing AI that does not lie.

GPT-4 Technical Report Truthful AI: Developing and governing AI that does not lie

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.348366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0a56f121-6452-4146-8d64-d428d75ec8a6 · outbound

This paper cites Detoxifying Language Models Risks Marginalizing Minority Voices.

GPT-4 Technical Report Detoxifying Language Models Risks Marginalizing Minority Voices

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.354041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7db00400-c46b-4950-8190-41a0b157da45 · outbound

This paper cites Measuring and Mitigating Unintended Bias in Text Classiﬁcation.

GPT-4 Technical Report Measuring and Mitigating Unintended Bias in Text Classiﬁcation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.357802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9229a59e-57cd-4402-a020-31366fab7842 · outbound

This paper cites A Holistic Approach to Undesired Content Detection in the Real World.

GPT-4 Technical Report A Holistic Approach to Undesired Content Detection in the Real World

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T02:27:17.138590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 901f6e46-fbd3-4e1f-bc91-199bf285ec81 · outbound

This paper cites How should AI systems behave, and who should decide?.

GPT-4 Technical Report How should AI systems behave, and who should decide?

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.397339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4596dc79-e693-4238-9a05-6bdda2cef613 · outbound

This paper cites Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models.

GPT-4 Technical Report Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.410134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 83be0ce4-a5d1-49dd-8f05-f4c45fa57066 · outbound

This paper cites Language (Technology) is Power: A Critical Survey of "Bias" in NLP.

GPT-4 Technical Report Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:17:18.134860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9137e41b-5933-4ac1-838b-8115f817bdb2 · outbound

This paper cites On Measures of Biases and Harms in NLP.

GPT-4 Technical Report On Measures of Biases and Harms in NLP

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.416332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 575a5a91-d7f6-4918-90b2-c4ea61538365 · outbound

This paper cites Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.

GPT-4 Technical Report Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.419682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ab1127f7-58ed-4c13-8868-442233c1c578 · outbound

This paper cites Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them.

GPT-4 Technical Report Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.426081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation acd90ab3-0958-476c-aafd-80b290d238c4 · outbound

This paper cites Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns.

GPT-4 Technical Report Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.429392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bf2d38bc-a21b-437f-a114-cecdabe3e740 · outbound

This paper cites On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?.

GPT-4 Technical Report On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.432049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4672711c-b6b0-4a35-9632-5f1f73cc033d · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

GPT-4 Technical Report On the Opportunities and Risks of Foundation Models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.434490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a09c1ca5-b055-4ecb-a5aa-368444122343 · outbound

This paper cites an unresolved cited work.

GPT-4 Technical Report Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:17:18.441875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5b089495-6519-4ca1-b783-44e88ddca2a2 · outbound

This paper cites Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice.

GPT-4 Technical Report Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.444582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 96bce1de-3d55-42be-92fb-9d84759c5b10 · outbound

This paper cites MacAskill, What We Owe The Future.

GPT-4 Technical Report MacAskill, What We Owe The Future

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.449472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 380e8a54-25a4-4a05-85b1-90cb3ee1d23c · outbound

This paper cites GPT-2: 1.5B release.

GPT-4 Technical Report GPT-2: 1.5B release

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.451934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 88e21e17-c8b0-4734-9ed6-8158e2964408 · outbound

This paper cites All the News That’s Fit to Fabricate: AI- Generated Text as a Tool of Media Misinformation.

GPT-4 Technical Report All the News That’s Fit to Fabricate: AI- Generated Text as a Tool of Media Misinformation

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.454504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a392c415-f00d-40f1-93d6-e55f5dc2ec9d · outbound

This paper cites Truth, Lies, and Automation.

GPT-4 Technical Report Truth, Lies, and Automation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.460164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a642032f-6b02-48bd-9edb-8a0e26d1c291 · outbound

This paper cites AI’s Powers of Political Persuasion.

GPT-4 Technical Report AI’s Powers of Political Persuasion

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.465033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b8d2b2f1-c62b-43c3-9e1e-76762f60c65f · outbound

This paper cites Artiﬁcial intelligence can persuade humans on political issues.

GPT-4 Technical Report Artiﬁcial intelligence can persuade humans on political issues

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.467510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a71829bd-6b40-4ecf-8c21-a6b266b8cb61 · outbound

This paper cites On the Horizon: Interactive and Compositional Deepfakes.

GPT-4 Technical Report On the Horizon: Interactive and Compositional Deepfakes

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.473717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 222d76d1-4711-4230-8708-2cd15509900d · outbound

This paper cites Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security.

GPT-4 Technical Report Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.480003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7b23560f-1923-4a19-a2a6-080323a9f2a6 · outbound

This paper cites Dual use export licenses.

GPT-4 Technical Report Dual use export licenses

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.482468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7a458404-c1f0-40d3-a33f-9085c73682c5 · outbound

This paper cites Arms control, disarmament and non-proliferation in nato.

GPT-4 Technical Report Arms control, disarmament and non-proliferation in nato

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.484897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation afe1eddf-c410-434c-ac86-c14ba0802694 · outbound

This paper cites Extracting Training Data from Large Language Models.

GPT-4 Technical Report Extracting Training Data from Large Language Models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.487189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4693d630-f9db-42f4-b249-8f5f6da934d1 · outbound

This paper cites Quantifying Memo- rization Across Neural Language Models.

GPT-4 Technical Report Quantifying Memo- rization Across Neural Language Models

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.489780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 47096e3c-3a46-47a8-b85f-ec5b05d66891 · outbound

This paper cites Predictability and Surprise in Large Generative Models.

GPT-4 Technical Report Predictability and Surprise in Large Generative Models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.493444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 521eb091-4865-4197-802d-9bb4f0986e7f · outbound

This paper cites Emergent Abilities of Large Language Models.

GPT-4 Technical Report Emergent Abilities of Large Language Models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.497727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 941a905d-35ce-43a6-8997-7e82ac054e9b · outbound

This paper cites The alignment problem from a deep learning perspec- tive.

GPT-4 Technical Report The alignment problem from a deep learning perspec- tive

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.501002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 88bd9574-698b-4087-b3fb-858ff6ba61e8 · outbound

This paper cites Bostrom, Superintelligence: Paths, Dangers, Strategies.

GPT-4 Technical Report Bostrom, Superintelligence: Paths, Dangers, Strategies

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.504144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 683a16bd-54c7-47f5-b0e9-d8656d347cb8 · outbound

This paper cites Harms from Increasingly Agentic Algorithmic Systems.

GPT-4 Technical Report Harms from Increasingly Agentic Algorithmic Systems

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.512334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d422a767-6618-4cea-9f4f-20383a465cdc · outbound

This paper cites Language Models as Agent Models.

GPT-4 Technical Report Language Models as Agent Models

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.516130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e893237b-1608-42ab-9c0d-120c4fb3cfa5 · outbound

This paper cites Emergent Deception and Emergent Optimization.

GPT-4 Technical Report Emergent Deception and Emergent Optimization

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.519203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 14a7a6b3-1920-4a85-a371-3483d2439e5f · outbound

This paper cites The Basic AI Drives.

GPT-4 Technical Report The Basic AI Drives

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.522862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3882000d-a0dd-4fbb-930a-7142dbc1304e · outbound

This paper cites The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artiﬁcial Agents.

GPT-4 Technical Report The Superintelligent Will: Motivation and Instrumental Rationality in Advanced Artiﬁcial Agents

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.528914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8e932ebb-765d-4546-a5f3-4b94400d89b9 · outbound

This paper cites Optimal Policies Tend to Seek Power.

GPT-4 Technical Report Optimal Policies Tend to Seek Power

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.549093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1a94b611-546a-462a-8520-5b58a1c39d16 · outbound

This paper cites Parametrically Retargetable Decision-Makers Tend To Seek Power.

GPT-4 Technical Report Parametrically Retargetable Decision-Makers Tend To Seek Power

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.551876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0f21573c-b42b-4287-b5f5-ef287fef579d · outbound

This paper cites Power-seeking can be probable and predictive for trained agents.

GPT-4 Technical Report Power-seeking can be probable and predictive for trained agents

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.555833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 56fbd94c-7b82-489c-9bbb-7f0b1d2f20ec · outbound

This paper cites Russell, Human Compatible: Artiﬁcial Intelligence and the Problem of Control.

GPT-4 Technical Report Russell, Human Compatible: Artiﬁcial Intelligence and the Problem of Control

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.558544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1554845c-ed57-4de4-a4af-079b4e8be131 · outbound

This paper cites Is Power-Seeking AI an Existential Risk?.

GPT-4 Technical Report Is Power-Seeking AI an Existential Risk?

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.563983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d42312a3-77ae-4767-ba36-96a414d5e63d · outbound

This paper cites Update on arc’s recent eval eﬀorts.

GPT-4 Technical Report Update on arc’s recent eval eﬀorts

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.567533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8b391b3b-89cc-4f0e-9981-2d35dcff5aa2 · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

GPT-4 Technical Report MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.570079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 193c9109-46eb-4fe8-8af1-1f6d507db14d · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

GPT-4 Technical Report Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.576019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7e90103f-d8f3-4ff2-9471-a6b12ab083c6 · outbound

This paper cites Augmented Language Models: A Survey.

GPT-4 Technical Report Augmented Language Models: A Survey

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.578507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0f89aa17-f09c-46f1-9657-1d735829c0b0 · outbound

This paper cites TALM: Tool Augmented Language Models.

GPT-4 Technical Report TALM: Tool Augmented Language Models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.585126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3daf9023-3566-4694-ad47-f273a5320505 · outbound

This paper cites Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules.

GPT-4 Technical Report Smiles, a chemical language and information system. 1. introduction to methodology and encoding rules

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.590910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6dbb1474-21cc-495c-ac32-8eb21e5ca96f · outbound

This paper cites Artiﬁcial Intelligence, Algorithmic Pricing and Collusion.

GPT-4 Technical Report Artiﬁcial Intelligence, Algorithmic Pricing and Collusion

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.593339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1743d6e6-c930-496c-878a-4f1d2f4a87b1 · outbound

This paper cites Hidden Incentives for Auto-Induced Distributional Shift.

GPT-4 Technical Report Hidden Incentives for Auto-Induced Distributional Shift

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.595907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0491dc44-fea7-4cc3-b2d1-fb7bd93fdc3b · outbound

This paper cites Robots and humans – complements or substitutes?.

GPT-4 Technical Report Robots and humans – complements or substitutes?

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.598278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7e064e4c-92cc-4d5a-90b7-1293a9572eab · outbound

This paper cites Artiﬁcial Intelligence and Its Implications for Income Distribution and Unemployment.

GPT-4 Technical Report Artiﬁcial Intelligence and Its Implications for Income Distribution and Unemployment

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.603909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2e70e73e-2525-4852-ab52-9deb8f41db3d · outbound

This paper cites ChatGPT Goes to Law School.

GPT-4 Technical Report ChatGPT Goes to Law School

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.606141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d44a5bb5-25ad-4a51-b76e-9b202fc6753c · outbound

This paper cites Augmented intelligence: The eﬀects of ai on productivity and work practices.

GPT-4 Technical Report Augmented intelligence: The eﬀects of ai on productivity and work practices

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.609045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c0376667-1bbb-4115-9241-8b09585f7862 · outbound

This paper cites Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires.

GPT-4 Technical Report Algorithmic Writing Assistance on Jobseekers’ Resumes Increases Hires

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.611256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ccca2aa0-495d-4ae4-96c5-8ed6d8220948 · outbound

This paper cites Productivity Assessment of Neural Code Completion.

GPT-4 Technical Report Productivity Assessment of Neural Code Completion

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.615307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f02d6366-cdb5-4142-b96b-1734f8bf2e6f · outbound

This paper cites Experimental evidence on the productivity eﬀects of generative artiﬁcial intelligence.

GPT-4 Technical Report Experimental evidence on the productivity eﬀects of generative artiﬁcial intelligence

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.621004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 68abc5cc-7bbb-4599-9be9-9c1513ed048c · outbound

This paper cites The Impact of AI on Developer Productivity: Evidence from GitHub Copilot.

GPT-4 Technical Report The Impact of AI on Developer Productivity: Evidence from GitHub Copilot

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:17:18.178600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c59a3b5d-361f-45a5-aef1-467d6fe604de · outbound

This paper cites Demographics and Automation.

GPT-4 Technical Report Demographics and Automation

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.623342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 351888da-5dc0-4107-abea-ad73b1f024ce · outbound

This paper cites AI and Job Quality.

GPT-4 Technical Report AI and Job Quality

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.625429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bb8ab2db-505b-4523-8a81-4c2d0f1c5e18 · outbound

This paper cites OpenAI Charter.

GPT-4 Technical Report OpenAI Charter

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.627540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation e2c84690-a0ad-4be3-831c-830c6e02d2ed · outbound

This paper cites Racing to the precipice: A model of artiﬁcial intelligence development.

GPT-4 Technical Report Racing to the precipice: A model of artiﬁcial intelligence development

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.632961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9eb1d1f7-f826-4b5d-b8d8-2c3b1072a119 · outbound

This paper cites an unresolved cited work.

GPT-4 Technical Report Unresolved cited work

Reference 95

Resolution: unresolved; raw_fallback, observed 2026-05-09T04:17:18.635914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0239afa9-418d-4e8c-bd95-ed9fd9d69503 · outbound

This paper cites Overreliance on AI Literature Review.

GPT-4 Technical Report Overreliance on AI Literature Review

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.639862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation eb581d2a-b642-42a0-b13d-edf6b63458cd · outbound

This paper cites Data enrichment sourcing guidelines.

GPT-4 Technical Report Data enrichment sourcing guidelines

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.642259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4bcf05cf-dbc9-4e6b-a54d-0a5544da8796 · outbound

This paper cites Responsible sourcing of data enrichment services.

GPT-4 Technical Report Responsible sourcing of data enrichment services

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.647919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9dfe80c0-281f-40b3-ba4b-35d9b879b1c8 · outbound

This paper cites Proximal Policy Optimiza- tion Algorithms.

GPT-4 Technical Report Proximal Policy Optimiza- tion Algorithms

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.650278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 83408619-d8f9-4351-bf18-782beceb0df1 · outbound

This paper cites Improving alignment of dialogue agents via targeted human judgements.

GPT-4 Technical Report Improving alignment of dialogue agents via targeted human judgements

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-05-09T04:17:18.656033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Pith citing papers

Observation 5bea2bf0-b6bc-4693-8557-3fea586784eb · inbound

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks cites this paper.

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks GPT-4 Technical Report

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-12T16:48:28.126379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 455da6a5-5e11-45ed-9236-44c611baa90b · inbound

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations cites this paper.

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations GPT-4 Technical Report

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:39:17.237284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 005d66ef-bf2b-49a7-9767-0170da8e2b4d · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention GPT-4 Technical Report

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:07:42.538027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b5453219-f79f-4c6a-ae58-5672b18c90ef · inbound

Self-Refine: Iterative Refinement with Self-Feedback cites this paper.

Self-Refine: Iterative Refinement with Self-Feedback GPT-4 Technical Report

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-10T20:47:39.699926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c55566e4-2a7c-48b0-b905-1b8c122a7b27 · inbound

Teaching Large Language Models to Self-Debug cites this paper.

Teaching Large Language Models to Self-Debug GPT-4 Technical Report

Reference 115

Resolution: verified exact; local_arxiv, observed 2026-05-12T06:24:25.089454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 23d955e3-8732-4a8b-8601-9f6918ffec7e · inbound

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment cites this paper.

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment GPT-4 Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:46:56.844650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 350f9dfe-3a83-4c0d-a890-cb095211731b · inbound

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality cites this paper.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality GPT-4 Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.024208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4de096ce-13aa-441f-b7a3-f2512ad5bbfe · inbound

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model cites this paper.

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model GPT-4 Technical Report

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:41:04.891087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 58ebfbde-dbc7-4b54-a72b-44d0d3b610a5 · inbound

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation cites this paper.

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation GPT-4 Technical Report

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-14T02:04:18.008192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f5a03b93-e398-40ae-8611-84c8c9374ceb · inbound

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance cites this paper.

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance GPT-4 Technical Report

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T19:56:45.541987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fb99f1ed-b412-4078-9186-7809bc869c88 · inbound

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning cites this paper.

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning GPT-4 Technical Report

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-13T02:13:52.154948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 13508b02-d2ae-4748-9849-99662eb03f60 · inbound

CodeT5+: Open Code Large Language Models for Code Understanding and Generation cites this paper.

CodeT5+: Open Code Large Language Models for Code Understanding and Generation GPT-4 Technical Report

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-19T05:26:57.567179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 148d8455-4946-4745-ba4a-59c2d01ac02e · inbound

Evaluating Object Hallucination in Large Vision-Language Models cites this paper.

Evaluating Object Hallucination in Large Vision-Language Models GPT-4 Technical Report

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T13:44:09.873122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8fa0d8cf-b65c-449c-8284-0b950f2f4c58 · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report GPT-4 Technical Report

Reference 104

Resolution: verified exact; local_arxiv, observed 2026-05-12T11:59:27.280587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fa50d185-e3cb-494d-89e4-b4c90d7f0bff · inbound

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering cites this paper.

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering GPT-4 Technical Report

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-15T23:08:21.860294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9a628fba-ffe5-41fa-a2aa-218e5934b2e6 · inbound

Tree of Thoughts: Deliberate Problem Solving with Large Language Models cites this paper.

Tree of Thoughts: Deliberate Problem Solving with Large Language Models GPT-4 Technical Report

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-11T15:36:42.963128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 21d2047e-194f-4878-885b-146d1a2884c6 · inbound

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs cites this paper.

Exploring Code Analysis: Zero-Shot Insights on Syntax and Semantics with LLMs GPT-4 Technical Report

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:14:10.490193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1a8e6288-784b-4c65-83d3-4f31f40cdeb7 · inbound

Evaluating the Performance of Large Language Models on GAOKAO Benchmark cites this paper.

Evaluating the Performance of Large Language Models on GAOKAO Benchmark GPT-4 Technical Report

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T12:28:32.420686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 63f40589-e5f3-4989-8a3a-6e5f085bd5c6 · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model GPT-4 Technical Report

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-05-17T01:49:29.028063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1f231225-6985-4024-b28a-d50b64399aeb · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs GPT-4 Technical Report

Reference 290

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T06:54:31.439165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6b8cef5e-b4e2-4156-b9ec-96b9f0a0b761 · inbound

Voyager: An Open-Ended Embodied Agent with Large Language Models cites this paper.

Voyager: An Open-Ended Embodied Agent with Large Language Models GPT-4 Technical Report

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-10T13:11:41.087423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9668cc65-33fe-4a98-98cb-01c757ae7484 · inbound

Large Language Models are not Fair Evaluators cites this paper.

Large Language Models are not Fair Evaluators GPT-4 Technical Report

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-17T12:10:42.351455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 94ec22df-651e-4a13-928e-cf773a29f1d1 · inbound

Large Language Models are not Fair Evaluators cites this paper.

Large Language Models are not Fair Evaluators GPT-4 Technical Report

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T12:10:42.304207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2b1aa276-98f1-4085-9577-3bfd6bee13b1 · inbound

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate cites this paper.

Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate GPT-4 Technical Report

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T00:00:15.840760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c08520bc-a8bb-44ba-97bb-27f049cb688d · inbound

Let's Verify Step by Step cites this paper.

Let's Verify Step by Step GPT-4 Technical Report

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-10T15:37:21.404903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f6f07bb3-f018-44d8-8c33-703751f52d3f · inbound

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day cites this paper.

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day GPT-4 Technical Report

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:34:11.684233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 272ad039-af5d-4ac3-af6d-e8939483feaa · inbound

TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization cites this paper.

TreeDQN: Sample-Efficient Off-Policy Reinforcement Learning for Combinatorial Optimization GPT-4 Technical Report

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:34:11.675497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 34447d5b-10f6-4724-87d5-3973f272fcca · inbound

Textbooks Are All You Need cites this paper.

Textbooks Are All You Need GPT-4 Technical Report

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-13T04:44:03.255784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 81a02c24-259a-45ce-a93e-33454f5a7c62 · inbound

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models cites this paper.

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models GPT-4 Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-10T20:25:34.040794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 9a7d807c-1caf-43fa-a9ae-414fe033bf2a · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models GPT-4 Technical Report

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:56:42.257701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 68f32450-a3b9-473e-a685-f286e9bfffe9 · inbound

Jailbroken: How Does LLM Safety Training Fail? cites this paper.

Jailbroken: How Does LLM Safety Training Fail? GPT-4 Technical Report

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-14T18:17:42.903541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2eefd8dc-cb88-4b4c-8448-d305e44a9771 · inbound

MMBench: Is Your Multi-modal Model an All-around Player? cites this paper.

MMBench: Is Your Multi-modal Model an All-around Player? GPT-4 Technical Report

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-12T17:20:53.760464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 85cf7c87-4939-4081-be39-6bb992fb4054 · inbound

FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning cites this paper.

FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning GPT-4 Technical Report

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-11T02:39:44.864615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d5a95cd5-cde3-4b02-b747-4d327a688a27 · inbound

Llama 2: Open Foundation and Fine-Tuned Chat Models cites this paper.

Llama 2: Open Foundation and Fine-Tuned Chat Models GPT-4 Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-09T05:23:23.864583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 48cc4219-5848-4978-927f-4a5a0c7498b6 · inbound

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models cites this paper.

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models GPT-4 Technical Report

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T12:59:45.359428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a9e3ce7f-7bd0-4196-bd43-30dff38d7b8e · inbound

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models GPT-4 Technical Report

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-14T01:52:01.302442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3463ee71-2e9f-425b-85e9-52a98e0bf5bb · inbound

Towards General Text Embeddings with Multi-stage Contrastive Learning cites this paper.

Towards General Text Embeddings with Multi-stage Contrastive Learning GPT-4 Technical Report

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-12T03:33:45.951440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6fcf8dbb-2161-4916-b54a-9ff25e2a98ab · inbound

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models cites this paper.

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models GPT-4 Technical Report

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-17T08:39:28.142572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 12615d44-fc2d-4e39-90f7-95f959b9af7b · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models GPT-4 Technical Report

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T14:48:08.635033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 956e9f73-154d-4e92-bce3-ea612cae57ec · inbound

A Survey on Large Language Model based Autonomous Agents cites this paper.

A Survey on Large Language Model based Autonomous Agents GPT-4 Technical Report

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-15T04:03:00.855275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 18cda49c-0c05-4251-8059-891a1386ec76 · inbound

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets cites this paper.

MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets GPT-4 Technical Report

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-24T08:14:10.192086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b3bcd038-29ac-4bf8-b410-9cf30c80160b · inbound

Project Aria: A New Tool for Egocentric Multi-Modal AI Research cites this paper.

Project Aria: A New Tool for Egocentric Multi-Modal AI Research GPT-4 Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:25:20.905642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3e7aea7c-03f5-435c-a20b-bb02b85b1657 · inbound

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills cites this paper.

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills GPT-4 Technical Report

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:31:47.363642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f6fa9924-e352-48f2-a154-e0f7ea9b3c87 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents GPT-4 Technical Report

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:33:44.458843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d50a01d3-aa69-4d86-beed-7ad27aad13e7 · inbound

Textbooks Are All You Need II: phi-1.5 technical report cites this paper.

Textbooks Are All You Need II: phi-1.5 technical report GPT-4 Technical Report

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T19:18:01.397651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 58615cd0-4286-4a86-b551-c26353811642 · inbound

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning cites this paper.

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning GPT-4 Technical Report

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:46:39.651336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 30a47c21-5c3f-4249-bff7-a8cc348693f6 · inbound

Efficient Memory Management for Large Language Model Serving with PagedAttention cites this paper.

Efficient Memory Management for Large Language Model Serving with PagedAttention GPT-4 Technical Report

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-12T15:03:07.708918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6a17f2d2-c161-4042-9225-f9d1e8b81f8d · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey GPT-4 Technical Report

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-11T10:47:46.626371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 51861108-654e-42e1-be96-dcba9f975b0b · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers GPT-4 Technical Report

Reference 166

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:11:49.592941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f49f7014-8b5a-4ff8-ba83-dc488e835701 · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts GPT-4 Technical Report

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-05-15T06:25:21.025543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 784586b2-b354-4684-9528-a8bed04ff4e0 · inbound

Baichuan 2: Open Large-scale Language Models cites this paper.

Baichuan 2: Open Large-scale Language Models GPT-4 Technical Report

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-24T06:54:03.730751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fb1d421c-81da-417a-8516-aead74cae9ea · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution GPT-4 Technical Report

Reference 247

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T08:12:31.093754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7ff20395-59ab-42e0-9129-c03e156a1b00 · inbound

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration cites this paper.

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration GPT-4 Technical Report

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-21T21:05:25.914003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 81e4e847-266b-464c-8427-c6cc4a671b6f · inbound

Low-Resource Languages Jailbreak GPT-4 cites this paper.

Low-Resource Languages Jailbreak GPT-4 GPT-4 Technical Report

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-17T09:24:14.098278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f425e292-f38f-43d5-af57-577ba3fd22ff · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own GPT-4 Technical Report

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T06:44:01.925049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ac76a27e-59a5-4db6-a090-cd8447ebfab6 · inbound

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models cites this paper.

Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models GPT-4 Technical Report

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T23:26:04.513422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation abf215aa-6c84-45b6-9dd2-b083a625335d · inbound

Understanding the Effects of RLHF on LLM Generalisation and Diversity cites this paper.

Understanding the Effects of RLHF on LLM Generalisation and Diversity GPT-4 Technical Report

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T02:34:44.339926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 275a1185-5e5e-4637-86f2-187e240597cc · inbound

BitNet: Scaling 1-bit Transformers for Large Language Models cites this paper.

BitNet: Scaling 1-bit Transformers for Large Language Models GPT-4 Technical Report

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.602370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 779ce2f5-46a7-4474-9135-0dc8645df54e · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection GPT-4 Technical Report

Reference 128

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T14:15:11.071164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f02e0abc-3dd7-402d-9b48-ee785b99a2d4 · inbound

SALMONN: Towards Generic Hearing Abilities for Large Language Models cites this paper.

SALMONN: Towards Generic Hearing Abilities for Large Language Models GPT-4 Technical Report

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-18T02:29:46.358511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6ffa6c4c-58cd-4c17-bcb3-f024ecad3359 · inbound

Zephyr: Direct Distillation of LM Alignment cites this paper.

Zephyr: Direct Distillation of LM Alignment GPT-4 Technical Report

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T10:13:57.411650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f163e052-48c6-44b9-9ffe-c1578d3a37d0 · inbound

Remember what you did so you know what to do next cites this paper.

Remember what you did so you know what to do next GPT-4 Technical Report

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-25T08:25:34.270233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ca4d0cb6-e414-48b2-beb1-8d30f6ae2887 · inbound

The Linear Representation Hypothesis and the Geometry of Large Language Models cites this paper.

The Linear Representation Hypothesis and the Geometry of Large Language Models GPT-4 Technical Report

Reference 20

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T21:43:30.388356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 65d53aca-4246-4221-9440-c247fc70004f · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration GPT-4 Technical Report

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:18:51.732444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 7624ef2d-19a0-4551-b131-3ac0090ceb2e · 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 GPT-4 Technical Report

Reference 243

Resolution: verified exact; local_arxiv, observed 2026-05-13T02:46:27.832820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation d1427d34-d1c9-463d-8c29-1914b729ebb1 · inbound

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation cites this paper.

AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation GPT-4 Technical Report

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T06:44:30.277943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation a7c70687-c2b1-4215-a55f-23aaceb2de1e · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models GPT-4 Technical Report

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-17T03:03:26.949649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5bdd1ae2-4813-466b-a6ab-6961c0140a7c · inbound

Instruction-Following Evaluation for Large Language Models cites this paper.

Instruction-Following Evaluation for Large Language Models GPT-4 Technical Report

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:36:00.949460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ad9e03c5-2491-4bd4-8e2b-1a0bb56f34fc · inbound

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection cites this paper.

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection GPT-4 Technical Report

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-14T18:08:01.261916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2b72f7d7-7589-4081-b39c-eff744ef3bc9 · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI GPT-4 Technical Report

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:37:41.542100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 3fa2a43c-8856-41fe-aaa0-c9d804a9aa40 · inbound

Scalable Extraction of Training Data from (Production) Language Models cites this paper.

Scalable Extraction of Training Data from (Production) Language Models GPT-4 Technical Report

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:00:46.773844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8b1a90db-4e04-4265-a62f-ea4fa7fa5c44 · inbound

Steering Llama 2 via Contrastive Activation Addition cites this paper.

Steering Llama 2 via Contrastive Activation Addition GPT-4 Technical Report

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-11T20:37:21.309071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 6b0bc97c-d36c-4a3e-9314-4599b5c88929 · inbound

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations cites this paper.

Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations GPT-4 Technical Report

Reference 75

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T22:34:15.722088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation f65c2e95-8af2-4eed-b698-a6259e5f9f99 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation GPT-4 Technical Report

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-15T03:58:46.003662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 29f76738-3dea-42e0-8ae0-62e696a8466e · inbound

AppAgent: Multimodal Agents as Smartphone Users cites this paper.

AppAgent: Multimodal Agents as Smartphone Users GPT-4 Technical Report

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-17T10:16:43.911508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c19e3ccf-6048-44b2-b9d8-43e9ed9e1eaa · inbound

VideoPoet: A Large Language Model for Zero-Shot Video Generation cites this paper.

VideoPoet: A Large Language Model for Zero-Shot Video Generation GPT-4 Technical Report

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-15T17:51:05.753771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 14ff5ee9-8b70-4049-8d79-a77215bd33f0 · inbound

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models cites this paper.

Identifying the Achilles' Heel: An Iterative Method for Dynamically Uncovering Factual Errors in Large Language Models GPT-4 Technical Report

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:43:53.948972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1135205b-136c-41e7-a87a-0b5f72dac5fa · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models GPT-4 Technical Report

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:58:54.853848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 708a1273-5479-4aff-82d3-2b899728d49a · inbound

GPT-4V(ision) is a Generalist Web Agent, if Grounded cites this paper.

GPT-4V(ision) is a Generalist Web Agent, if Grounded GPT-4 Technical Report

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T19:40:13.951924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation b0fc8acb-4910-47e2-bea2-06ace1ca9ea5 · inbound

TinyLlama: An Open-Source Small Language Model cites this paper.

TinyLlama: An Open-Source Small Language Model GPT-4 Technical Report

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-13T21:09:45.450017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 53e9a427-3188-48d6-931a-8a2ea8be981e · inbound

Data-Centric Foundation Models in Computational Healthcare: A Survey cites this paper.

Data-Centric Foundation Models in Computational Healthcare: A Survey GPT-4 Technical Report

Reference 213

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:13:52.627066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 4e31cc8f-b29f-4465-9cdb-c071fbe1e3a9 · inbound

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism cites this paper.

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism GPT-4 Technical Report

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-11T06:08:06.001350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 78c2cc75-9ba9-48a2-b28b-45b837c145be · inbound

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models cites this paper.

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models GPT-4 Technical Report

Reference 38

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T22:50:07.892354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 2b56ee4e-a1e1-4214-8842-259d35c94304 · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models GPT-4 Technical Report

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-13T12:01:42.555447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 5cb2e2b3-1f4f-46cc-9e63-3acae366e3af · inbound

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents cites this paper.

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents GPT-4 Technical Report

Reference 91

Resolution: verified exact; local_arxiv, observed 2026-05-17T10:09:46.586608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation c8493bde-8bd0-4b37-9b1b-f8ed1ea8152a · inbound

Hallucination is Inevitable: An Innate Limitation of Large Language Models cites this paper.

Hallucination is Inevitable: An Innate Limitation of Large Language Models GPT-4 Technical Report

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:38:43.522384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 924d62a8-996a-455c-b68d-834854b12c05 · inbound

Corrective Retrieval Augmented Generation cites this paper.

Corrective Retrieval Augmented Generation GPT-4 Technical Report

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-12T11:19:17.198462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bf921aaf-7620-43f3-bbed-b6a418cdf857 · inbound

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval GPT-4 Technical Report

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-15T13:07:16.342023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 02cc9acc-3662-42b2-9b5f-acf5dbfb59ce · inbound

A Survey on Hallucination in Large Vision-Language Models cites this paper.

A Survey on Hallucination in Large Vision-Language Models GPT-4 Technical Report

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:10:10.346691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 15d88928-a0d6-4df2-ae5a-47859214048e · inbound

Efficient Causal Graph Discovery Using Large Language Models cites this paper.

Efficient Causal Graph Discovery Using Large Language Models GPT-4 Technical Report

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-09T04:25:28.599391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation ef708dd3-1d56-464a-b6a5-d2cfbf013bda · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology GPT-4 Technical Report

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:58:51.297103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation fc5b8072-56c8-413b-876e-3bc29e0be26d · inbound

Transolver: A Fast Transformer Solver for PDEs on General Geometries cites this paper.

Transolver: A Fast Transformer Solver for PDEs on General Geometries GPT-4 Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T21:40:24.212331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1dfea6fe-b113-443e-9f08-e3232a85e986 · inbound

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models cites this paper.

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models GPT-4 Technical Report

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:23:49.579754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 1b525432-8c26-4359-85a2-65f1f62aee18 · inbound

A Roadmap to Pluralistic Alignment cites this paper.

A Roadmap to Pluralistic Alignment GPT-4 Technical Report

Reference 167

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T14:37:53.554206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 784edd0e-3f30-44af-ad59-04114d583430 · inbound

Multilingual E5 Text Embeddings: A Technical Report cites this paper.

Multilingual E5 Text Embeddings: A Technical Report GPT-4 Technical Report

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-12T19:17:31.661610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 8dd0244f-9e64-4c74-beee-ee6851fdc3e6 · inbound

Crystallizing Schemas with Teleoscope: Thematic Curation of Large Text Corpora on Reddit cites this paper.

Crystallizing Schemas with Teleoscope: Thematic Curation of Large Text Corpora on Reddit GPT-4 Technical Report

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:18:53.599810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 38010b49-81c6-4b72-a530-a8bd784802a1 · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning GPT-4 Technical Report

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-24T03:55:59.659706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation 0b2665f2-b98a-402b-8b91-595cc997ebef · inbound

A StrongREJECT for Empty Jailbreaks cites this paper.

A StrongREJECT for Empty Jailbreaks GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-16T21:28:02.790592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation bdc6a5c9-d41b-4e3a-85c4-ac4fad9750d3 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning GPT-4 Technical Report

Reference 168

Resolution: verified exact; local_arxiv, observed 2026-05-17T10:58:53.439705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

Observation cfc98dd3-c47c-4c8f-92ec-d8269fa0d20b · inbound

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection cites this paper.

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection GPT-4 Technical Report

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-24T04:18:53.671748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.