Paper Citation Record · LEDGER

OpenAI o1 System Card

As of 4 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 100 inbound Pith citation observations for arXiv:2412.16720.

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

pith.paper-citation-record.v1
2412.16720 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T06:39:44.542350Z

measured 139 of 139 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 642 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T19:45:39.130509Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:17:51.754565Z

Reference resolution

39 of 39 outbound references displayed

verified exact12
verified fuzzy26
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ac4f10ad-7419-4541-8ecf-0aabca69f09c · outbound

This paper cites Deliberative alignment: Reasoning enables safer language models.

OpenAI o1 System Card Deliberative alignment: Reasoning enables safer language models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.671003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a1dd87fe-d0c5-44fb-bb61-a7b86163e221 · outbound

This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

OpenAI o1 System Card BBQ: A Hand-Built Bias Benchmark for Question Answering

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.669631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1118f4b-2cc2-48f9-8c04-4475943ccec4 · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big?.

OpenAI o1 System Card On the dangers of stochastic parrots: Can language models be too big?

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.692459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4ea0f61-dce2-4275-90c8-0873266b34ec · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

OpenAI o1 System Card On Faithfulness and Factuality in Abstractive Summarization

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.629137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f85bd960-a8cd-4ffc-8e96-fbaf221f5797 · outbound

This paper cites Evaluating Frontier Models for Dangerous Capabilities.

OpenAI o1 System Card Evaluating Frontier Models for Dangerous Capabilities

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.642455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2dbc0309-d118-4341-be20-90fbd7eaf0b3 · outbound

This paper cites Model evaluation for extreme risks.

OpenAI o1 System Card Model evaluation for extreme risks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.689105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9753111d-16e8-4b87-b688-e580858aac31 · outbound

This paper cites Red teaming network.

OpenAI o1 System Card Red teaming network

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.698472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 843831e2-617d-4580-bc53-5d9d42741991 · outbound

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

OpenAI o1 System Card Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.637787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60593805-d3ca-4aac-b2b2-86ede9a89a45 · outbound

This paper cites Red-teaming for generative ai: Silver bullet or security theater?.

OpenAI o1 System Card Red-teaming for generative ai: Silver bullet or security theater?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.712564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3d273a5d-53d2-40e4-8b77-c586dbd2b073 · outbound

This paper cites Toward trustworthy ai development: Mechanisms for supporting verifiable claims.

OpenAI o1 System Card Toward trustworthy ai development: Mechanisms for supporting verifiable claims

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.676305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 549eb6da-3704-4d75-848e-00f6d333a5ca · outbound

This paper cites Gpt-4 technical report.

OpenAI o1 System Card Gpt-4 technical report

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.679901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 72ad5154-eaee-4233-979a-675c03d7fb04 · outbound

This paper cites A holistic approach to undesired content detection in the real world.

OpenAI o1 System Card A holistic approach to undesired content detection in the real world

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.664429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 63d04397-daff-4f1e-bba8-997eae922800 · outbound

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

OpenAI o1 System Card WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.618391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7ee4255b-bd71-44ba-af3e-59c44d128a52 · outbound

This paper cites XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models.

OpenAI o1 System Card XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.646916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 46e587ba-76ba-43e2-8149-78bb410d6bea · outbound

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

OpenAI o1 System Card "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.652695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 805cf1f0-4000-450f-939c-39cbf9430b3f · outbound

This paper cites A StrongREJECT for Empty Jailbreaks.

OpenAI o1 System Card A StrongREJECT for Empty Jailbreaks

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.658975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f265c4f-ec9f-4e6c-b86e-6a700ba53dfa · outbound

This paper cites Jailbreaking black box large language models in twenty queries.

OpenAI o1 System Card Jailbreaking black box large language models in twenty queries

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.708877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b152606f-6f4b-48e8-8a94-82342ccb33e0 · outbound

This paper cites Jailbreakbench: An open robustness benchmark for jailbreaking large language models.

OpenAI o1 System Card Jailbreakbench: An open robustness benchmark for jailbreaking large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.705421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 65d93c4e-d32c-4c21-bd00-211851f46131 · outbound

This paper cites Evaluating and Mitigating Discrimination in Language Model Decisions.

OpenAI o1 System Card Evaluating and Mitigating Discrimination in Language Model Decisions

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T06:42:39.674874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a62f28f9-92cc-4d56-b053-29a79f8901a8 · outbound

This paper cites The instruction hierarchy: Training llms to prioritize privileged instructions.

OpenAI o1 System Card The instruction hierarchy: Training llms to prioritize privileged instructions

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.701777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fd8ae6bc-7013-42c1-b2d9-fddb5c5d0ab7 · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

OpenAI o1 System Card Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:42:39.679765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aeba6c04-4f71-4e5f-b5bf-44359d51bf52 · outbound

This paper cites Language models don’t always say what they think: unfaithful explanations in chain-of-thought prompting.

OpenAI o1 System Card Language models don’t always say what they think: unfaithful explanations in chain-of-thought prompting

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.695441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3075a40c-559d-4350-aab4-89c5e76f6332 · outbound

This paper cites On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models.

OpenAI o1 System Card On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.624072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b9f1e6d8-dbaf-4d73-9b7b-12fc3a257cbc · outbound

This paper cites Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models.

OpenAI o1 System Card Faithfulness vs. Plausibility: On the (Un)Reliability of Explanations from Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.633867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37160e69-f16d-4b99-a44e-acd3993e457f · outbound

This paper cites Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant.

OpenAI o1 System Card Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.664420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10d5bc0e-f824-4591-bf8b-31d5e19eec30 · outbound

This paper cites Deception abilities emerged in large language models.

OpenAI o1 System Card Deception abilities emerged in large language models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.667950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 27ddb81e-e917-45f4-9d7c-223db4e504fa · outbound

This paper cites Openai’s approach to external red teaming.

OpenAI o1 System Card Openai’s approach to external red teaming

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.686416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ecd37509-2b2e-4b85-b41a-6fa908c25d86 · outbound

This paper cites Openai preparedness framework (beta).

OpenAI o1 System Card Openai preparedness framework (beta)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.683103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1b61a651-cced-4141-af71-2227e65950c1 · outbound

This paper cites Csaw cybersecurity games & conference.

OpenAI o1 System Card Csaw cybersecurity games & conference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.661530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eeb68398-6244-4ba2-ac9c-895188773084 · outbound

This paper cites Building an early warning system for llm-aided biological threat creation.

OpenAI o1 System Card Building an early warning system for llm-aided biological threat creation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.648480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation adb0b942-f38f-499e-8c0b-1619c49c323a · outbound

This paper cites Lab-bench: Measuring capabilities of language models for biology research.

OpenAI o1 System Card Lab-bench: Measuring capabilities of language models for biology research

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.651738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1dabff19-f486-439c-b480-3e5935498608 · outbound

This paper cites Biolp-bench: Measuring understanding of ai models of biological lab protocols.

OpenAI o1 System Card Biolp-bench: Measuring understanding of ai models of biological lab protocols

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.655179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8f6dba24-f679-49d1-8673-dd97e4ecc1be · outbound

This paper cites Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions.

OpenAI o1 System Card Winning arguments: Interaction dynamics and persuasion strategies in good-faith online discussions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.640956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c1a4c570-2ba2-4d95-987b-583d146026b6 · outbound

This paper cites Makemepay.

OpenAI o1 System Card Makemepay

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.643853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f9347a6d-90c4-494d-be89-c709b0b202c9 · outbound

This paper cites Makemesay.

OpenAI o1 System Card Makemesay

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.633849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09766045-4eb1-46d1-b728-7de2d8f87619 · outbound

This paper cites Introducing swe-bench verified.

OpenAI o1 System Card Introducing swe-bench verified

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.630630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6bce2a2-6157-424f-af2a-022014848d85 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues?.

OpenAI o1 System Card Swe-bench: Can language models resolve real-world github issues?

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.637670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed6aa36d-afac-4360-b856-0a32ddf83118 · outbound

This paper cites Mle-bench: Evaluating machine learning agents on machine learning engineering.

OpenAI o1 System Card Mle-bench: Evaluating machine learning agents on machine learning engineering

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:47:40.996032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0592c856-7e30-4633-a073-0e3ad77181f9 · outbound

This paper cites Measuring massive multitask language understanding.

OpenAI o1 System Card Measuring massive multitask language understanding

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T06:42:40.658346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation a87d7fe5-8f42-48af-8b96-967e6b73f55c · inbound

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis cites this paper.

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis OpenAI o1 System Card

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-23T19:45:47.127760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3013c957-1781-49b2-866e-847066a21a93 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models OpenAI o1 System Card

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-13T17:36:27.705432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0045ad51-3d30-466e-b304-68d8df5c532a · inbound

Do generative video models understand physical principles? cites this paper.

Do generative video models understand physical principles? OpenAI o1 System Card

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-20T12:47:05.925725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30c8fa56-90d9-44b5-8ed6-5862db61a966 · inbound

Improving Video Generation with Human Feedback cites this paper.

Improving Video Generation with Human Feedback OpenAI o1 System Card

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-13T15:30:02.664775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ac6228e8-fb0d-48bd-ba1a-f67e6d04c854 · inbound

Process Reinforcement through Implicit Rewards cites this paper.

Process Reinforcement through Implicit Rewards OpenAI o1 System Card

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T20:23:31.182758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 247af2f2-fda7-42d2-ac21-b9e3e720e44e · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning OpenAI o1 System Card

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:32:32.583633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 33b49f11-a4b0-4957-8bb0-581cdbf8b182 · inbound

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting cites this paper.

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting OpenAI o1 System Card

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:57:26.377497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a4982843-a78a-4e39-a2db-6254f9a8c684 · inbound

Muon is Scalable for LLM Training cites this paper.

Muon is Scalable for LLM Training OpenAI o1 System Card

Reference 62

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T23:02:51.896015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e93fdc7b-5103-4019-af05-c3f73aed22a5 · inbound

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution cites this paper.

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution OpenAI o1 System Card

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-15T10:27:56.328932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 06310081-9fd6-4ba8-a3bf-ff16916cee96 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist OpenAI o1 System Card

Reference 243

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T13:02:45.434303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 63212c3f-556b-4561-8b3c-fc9cf779a302 · inbound

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models cites this paper.

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models OpenAI o1 System Card

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T02:47:26.395029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7ea3383-c815-40b3-bf78-36006e1dbdb5 · inbound

Visual-RFT: Visual Reinforcement Fine-Tuning cites this paper.

Visual-RFT: Visual Reinforcement Fine-Tuning OpenAI o1 System Card

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:16:16.563038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 85a58492-8ee1-42da-8b8d-79c8c1c6f858 · inbound

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning cites this paper.

R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning OpenAI o1 System Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:37:17.800282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c2829ad-a544-44ee-a4fa-3d06b4218630 · inbound

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation cites this paper.

Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation OpenAI o1 System Card

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-21T07:24:12.914288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c04cd2d5-1787-4d1c-a461-bd5b979133a4 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey OpenAI o1 System Card

Reference 216

Resolution: verified exact; local_arxiv, observed 2026-05-15T17:18:53.502379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 44deceb3-f354-4082-b4ab-477a1c3d1296 · inbound

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning cites this paper.

Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning OpenAI o1 System Card

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-16T12:47:10.226096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6701ce42-b8d2-4c1c-92cb-5edee7514bbe · inbound

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles cites this paper.

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles OpenAI o1 System Card

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:59:03.423598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b0a409c1-e42e-4282-9132-06c4f8584ae8 · inbound

Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark cites this paper.

Evaluating Clinical Competencies of Large Language Models with a General Practice Benchmark OpenAI o1 System Card

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-22T23:42:16.437331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cf2566e-c90a-4846-be42-e7e1b6a8f2d5 · inbound

Video-R1: Reinforcing Video Reasoning in MLLMs cites this paper.

Video-R1: Reinforcing Video Reasoning in MLLMs OpenAI o1 System Card

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-12T09:43:00.385402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea15a7e9-e33f-40f1-9025-a53bce0b9320 · inbound

Bridging Language Models and Financial Analysis cites this paper.

Bridging Language Models and Financial Analysis OpenAI o1 System Card

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-23T01:12:20.726097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fbdd8138-d05c-4863-8960-099c24d0c4c4 · inbound

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning cites this paper.

SpaceR: Reinforcing MLLMs in Video Spatial Reasoning OpenAI o1 System Card

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-15T15:18:43.800105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 60ec13ed-666c-43f1-abe2-ff8eb4a168f0 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems OpenAI o1 System Card

Reference 120

Resolution: verified exact; local_arxiv, observed 2026-05-22T21:42:10.639806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a066174-9168-4cb0-b197-bdb1bb7b3283 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning OpenAI o1 System Card

Reference 66

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T21:22:08.995753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cf83429-94ea-4017-be87-be23f6a76d4c · inbound

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving cites this paper.

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving OpenAI o1 System Card

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:48:50.529394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75282cc6-5315-47a0-ad5b-470a9ebcc7e8 · inbound

ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs cites this paper.

ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs OpenAI o1 System Card

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-22T21:12:08.401342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4b2d7e38-b69b-412e-852b-4cdb9c56169f · inbound

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning cites this paper.

VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-15T20:56:07.800834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92a507b0-ac44-4c86-98cf-444840ef807a · inbound

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model cites this paper.

VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model OpenAI o1 System Card

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-13T01:13:57.428243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e12da7af-c7d4-4a2f-8663-5ec32075f7e5 · inbound

GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents cites this paper.

GUI-R1 : A Generalist R1-Style Vision-Language Action Model For GUI Agents OpenAI o1 System Card

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:10:58.058469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2f799563-72cb-4508-bdb3-6ec36705170a · inbound

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs cites this paper.

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs OpenAI o1 System Card

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-13T18:42:39.085744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a6ef537b-c81e-412e-b23b-26bfd411b764 · inbound

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning cites this paper.

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning OpenAI o1 System Card

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T18:46:56.911247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ca418fd-412b-48a8-a360-de6e2d5c0104 · inbound

Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning cites this paper.

Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning OpenAI o1 System Card

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-22T21:15:09.416470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d338cd94-29c7-4259-a619-212b68198297 · inbound

Learning to Reason under Off-Policy Guidance cites this paper.

Learning to Reason under Off-Policy Guidance OpenAI o1 System Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T23:17:02.747172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 03668529-d3c6-4f04-9439-a58281f01c53 · inbound

$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization cites this paper.

$\pi_{0.5}$: a Vision-Language-Action Model with Open-World Generalization OpenAI o1 System Card

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:05:00.899688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 902665c1-daf6-4479-9037-ec529293c028 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review OpenAI o1 System Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:57:38.197200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 879aa7e9-f46d-4dd6-891b-6f41031ca8e6 · inbound

Phi-4-reasoning Technical Report cites this paper.

Phi-4-reasoning Technical Report OpenAI o1 System Card

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-17T03:40:25.786192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dec3357e-4eec-4c7e-9fb7-70b17baafa75 · inbound

WebThinker: Empowering Large Reasoning Models with Deep Research Capability cites this paper.

WebThinker: Empowering Large Reasoning Models with Deep Research Capability OpenAI o1 System Card

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:14:25.421358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0cc94186-6181-44d7-9cba-ebd39fad8a25 · inbound

Advancing AI Research Assistants with Expert-Involved Learning cites this paper.

Advancing AI Research Assistants with Expert-Involved Learning OpenAI o1 System Card

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-22T16:21:46.999231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30e6b102-5b03-4426-951b-9c195864eefc · inbound

Flow-GRPO: Training Flow Matching Models via Online RL cites this paper.

Flow-GRPO: Training Flow Matching Models via Online RL OpenAI o1 System Card

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-11T18:45:16.776277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b05d473d-0521-41c9-a644-524f69447186 · inbound

Seed1.5-VL Technical Report cites this paper.

Seed1.5-VL Technical Report OpenAI o1 System Card

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-11T05:26:05.415512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18b08c78-c2b4-4dc3-9480-a331cc211f6c · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers OpenAI o1 System Card

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-22T15:14:57.376399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a646fe81-ce53-4519-b4ca-cb97f0e5b60d · inbound

Emerging Properties in Unified Multimodal Pretraining cites this paper.

Emerging Properties in Unified Multimodal Pretraining OpenAI o1 System Card

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-10T16:23:41.960242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3af291e3-d4b8-4c09-b2fb-b2ecac70fdae · inbound

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs cites this paper.

Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs OpenAI o1 System Card

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-17T05:35:13.261520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 921f9849-59d5-4d60-a968-b371ad70fa52 · inbound

MMaDA: Multimodal Large Diffusion Language Models cites this paper.

MMaDA: Multimodal Large Diffusion Language Models OpenAI o1 System Card

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-15T14:50:59.729150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 12a2dcaf-e7f7-45eb-9be8-d71c6ad64e74 · inbound

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation cites this paper.

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation OpenAI o1 System Card

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-22T13:41:36.714487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 30b1bc61-6135-40ab-8d77-62600898ec20 · inbound

Skywork Open Reasoner 1 Technical Report cites this paper.

Skywork Open Reasoner 1 Technical Report OpenAI o1 System Card

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:26:47.321986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f31bc8ac-ce04-4f28-9c57-eefb17f55c9c · inbound

MathArena: Evaluating LLMs on Uncontaminated Math Competitions cites this paper.

MathArena: Evaluating LLMs on Uncontaminated Math Competitions OpenAI o1 System Card

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:10:14.853634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e9727c17-25ee-4a35-b0bc-d4ad5e91090d · inbound

Grounded Reinforcement Learning for Visual Reasoning cites this paper.

Grounded Reinforcement Learning for Visual Reasoning OpenAI o1 System Card

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-22T01:05:51.914863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation db55c592-fee7-489c-917f-8a715bd1b81f · inbound

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models cites this paper.

ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models OpenAI o1 System Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-18T20:52:33.737148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 69416a9f-dd28-4c49-b1e9-5fd73251f25c · inbound

Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.

Benchmarking Misuse Mitigation Against Covert Adversaries OpenAI o1 System Card

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-19T10:32:14.748083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 74edeebe-70c6-4f31-bc0d-81d9dd587ff4 · inbound

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity OpenAI o1 System Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-15T16:10:31.670387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 40aed62e-98cf-485d-9dd8-fb5872c27be4 · inbound

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing cites this paper.

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing OpenAI o1 System Card

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-17T04:58:10.254275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a1bb7b5-6d32-43c6-b028-34448807e9b3 · inbound

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents cites this paper.

DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents OpenAI o1 System Card

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:07:39.484125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7202e720-1d9f-4df2-b612-4e6f98e094d0 · inbound

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks cites this paper.

Direct Reasoning Optimization: Token-Level Reasoning Reflectivity Meets Rubric Gates for Unverifiable Tasks OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:52:14.117083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4aebf5fe-407e-4f3f-875b-02e86f2309e3 · inbound

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning cites this paper.

AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning OpenAI o1 System Card

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:46:44.239683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 43eee2ca-1ba7-42b1-8253-f44f0566c7ea · inbound

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought cites this paper.

RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought OpenAI o1 System Card

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-05-19T08:33:02.171546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4f53dc03-fe57-48f1-94b1-6ffcf0e6fefa · inbound

OmniGen2: Towards Instruction-Aligned Multimodal Generation cites this paper.

OmniGen2: Towards Instruction-Aligned Multimodal Generation OpenAI o1 System Card

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-19T07:52:10.852094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 253b989b-4dec-4533-bc0c-94017bd55637 · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search OpenAI o1 System Card

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:27:04.445309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32582b54-e9dd-4817-898e-2e7cbe13a2cc · inbound

RExBench: Can coding agents autonomously implement AI research extensions? cites this paper.

RExBench: Can coding agents autonomously implement AI research extensions? OpenAI o1 System Card

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-19T07:37:08.945052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0bb4ae82-075c-4828-8f71-bf0bb1f64881 · inbound

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning cites this paper.

Improving the Reasoning of Multi-Image Grounding in MLLMs via Reinforcement Learning OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:52:08.053692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9de0b98c-a221-4670-9e94-57be5e67862a · inbound

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning cites this paper.

GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning OpenAI o1 System Card

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-11T04:48:26.835382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ae70cf07-b3f0-4b99-a193-7b2ce2ce82a4 · inbound

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling cites this paper.

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling OpenAI o1 System Card

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:40:46.419287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 39a16f63-64d8-4043-a6e3-216d093d4a74 · inbound

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective cites this paper.

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective OpenAI o1 System Card

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-05-17T14:08:35.258847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f81de1b1-c5fb-4e6a-8362-81e7e1b1bbd0 · inbound

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning cites this paper.

High-Resolution Visual Reasoning via Multi-Turn Grounding-Based Reinforcement Learning OpenAI o1 System Card

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-19T06:12:07.093722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88838216-95ae-4596-b95d-66c9f3ded045 · inbound

Vidar: Embodied Video Diffusion Model for Generalist Manipulation cites this paper.

Vidar: Embodied Video Diffusion Model for Generalist Manipulation OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-16T09:54:28.310913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c16d6205-5570-4a7f-82e3-38d54a5ea513 · inbound

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design cites this paper.

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design OpenAI o1 System Card

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-22T00:30:49.261089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a74a2886-1f1e-4555-9750-7ab6dabb193f · inbound

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains cites this paper.

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains OpenAI o1 System Card

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-13T06:07:56.771037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e08cda79-cec1-4f03-a7fa-ea03fdba05ff · inbound

ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing cites this paper.

ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing OpenAI o1 System Card

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:17:00.835326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3bcf737c-cdf7-4d54-bc35-b2e808f1bae1 · inbound

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge cites this paper.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:32:01.624288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ef82353-bb05-4bcc-b324-1b717f3a0643 · inbound

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens cites this paper.

Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens OpenAI o1 System Card

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T01:21:58.119945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5397dd6e-baf0-4444-a03a-300edd956de5 · inbound

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models cites this paper.

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models OpenAI o1 System Card

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-11T17:50:08.454947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d65a9e99-1f20-4bd4-81cb-3e3dd3250230 · inbound

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability cites this paper.

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability OpenAI o1 System Card

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T23:56:55.119110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d452237d-7cff-4014-9d25-f7bca1163550 · inbound

DeepFleet: Multi-Agent Foundation Models for Mobile Robots cites this paper.

DeepFleet: Multi-Agent Foundation Models for Mobile Robots OpenAI o1 System Card

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-19T00:16:55.436716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation de10f4ef-7c99-499e-873b-e61f459d1f80 · inbound

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling cites this paper.

InternBootcamp Technical Report: Boosting LLM Reasoning with Verifiable Task Scaling OpenAI o1 System Card

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:34:24.030159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19da6661-8271-4c86-94b5-4274b5fd6bf2 · inbound

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization cites this paper.

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization OpenAI o1 System Card

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-18T22:31:53.137647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 544c7e5b-4bc4-4ba1-b6eb-5ee0db9e0164 · inbound

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems cites this paper.

KompeteAI: Accelerated Autonomous Multi-Agent System for End-to-End Pipeline Generation for Machine Learning Problems OpenAI o1 System Card

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-18T22:22:51.746133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b4d63219-35ec-41a7-8792-ce42ec845419 · inbound

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning cites this paper.

UAV-VL-R1: Generalizing Vision-Language Models via Supervised Fine-Tuning and Multi-Stage GRPO for UAV Visual Reasoning OpenAI o1 System Card

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-18T22:21:53.299878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 913b3b50-b0c9-430b-8d4b-7ce70d753802 · inbound

ORFuzz: Fuzzing the "Other Side" of LLM Safety -- Testing Over-Refusal cites this paper.

ORFuzz: Fuzzing the "Other Side" of LLM Safety -- Testing Over-Refusal OpenAI o1 System Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-18T23:31:54.486170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 17bfb0e5-8462-4dd7-b66b-dee8c5afb3fb · inbound

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey cites this paper.

Large VLM-based Vision-Language-Action Models for Robotic Manipulation: A Survey OpenAI o1 System Card

Reference 180

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:28:16.122827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f1af644-653e-4110-89fe-736ba973034a · inbound

Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration cites this paper.

Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration OpenAI o1 System Card

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T22:36:53.695805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5ed0798b-86a1-41d3-bc2d-bb36fb6dc384 · inbound

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation cites this paper.

Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation OpenAI o1 System Card

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T22:06:51.683164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a1a3da7-285a-4fbc-bcd6-d2dc22a410b6 · inbound

Dream 7B: Diffusion Large Language Models cites this paper.

Dream 7B: Diffusion Large Language Models OpenAI o1 System Card

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-05-11T16:25:53.476360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff9fd392-d94b-4947-a68d-6c6262664d1b · inbound

Investigating Multimodal Large Language Models to Support Usability Evaluation cites this paper.

Investigating Multimodal Large Language Models to Support Usability Evaluation OpenAI o1 System Card

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-18T22:06:51.845586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24d87b2b-060f-42af-b52c-3c5217a6942b · inbound

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning cites this paper.

Token Buncher: Shielding LLMs from Harmful Reinforcement Learning Fine-Tuning OpenAI o1 System Card

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-18T20:41:50.471169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2fccd53a-de22-41b0-ac7e-6d0151c13033 · inbound

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning cites this paper.

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning OpenAI o1 System Card

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-13T10:13:58.886621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2c337282-0282-4e35-b81b-aebb6370eff7 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey OpenAI o1 System Card

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-18T19:21:48.266422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0607676-f445-47a1-98e5-a0641d2c447d · inbound

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training cites this paper.

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-21T22:40:43.248068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83a4d0c5-cfa6-4a61-85c3-0105b51c4cb1 · inbound

Self-Aligned Reward: Towards Effective and Efficient Reasoners cites this paper.

Self-Aligned Reward: Towards Effective and Efficient Reasoners OpenAI o1 System Card

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-18T18:31:44.594336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d6a8b995-12b9-4a65-9e70-e7ed2e0c7689 · inbound

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs cites this paper.

Video Parallel Scaling: Aggregating Diverse Frame Subsets for VideoLLMs OpenAI o1 System Card

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T18:36:44.205224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1f625a40-1562-4379-b754-7f6c3b0239fd · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models OpenAI o1 System Card

Reference 227

Resolution: verified exact; local_arxiv, observed 2026-05-18T00:02:24.504028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 98320af2-3cb3-40c0-9400-f30b76b54d2d · inbound

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning cites this paper.

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning OpenAI o1 System Card

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-15T08:02:11.416354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 574447e6-580c-4ffb-ac55-58904c5720bc · inbound

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain cites this paper.

Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain OpenAI o1 System Card

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-18T17:51:41.971828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation db7ec883-0796-408a-ba92-1aa209807630 · inbound

Evalet: Evaluating Large Language Models through Functional Fragmentation cites this paper.

Evalet: Evaluating Large Language Models through Functional Fragmentation OpenAI o1 System Card

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-18T17:01:40.077741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 808553af-efbe-4e01-b0e9-875ff5273824 · inbound

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution cites this paper.

ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution OpenAI o1 System Card

Reference 131

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T13:58:58.904823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5bd3cd9d-904f-446a-a968-c1c1e5f1c99e · inbound

Video models are zero-shot learners and reasoners cites this paper.

Video models are zero-shot learners and reasoners OpenAI o1 System Card

Reference 75

Resolution: verified exact; local_arxiv, observed 2026-05-14T02:16:45.711478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b6c96277-da22-471b-bf00-77d67fc3af61 · inbound

OjaKV: Context-Aware Online Low-Rank KV Cache Compression cites this paper.

OjaKV: Context-Aware Online Low-Rank KV Cache Compression OpenAI o1 System Card

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-18T13:26:24.752396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ea2f2da2-8324-45d8-95d7-2949ec9cf640 · inbound

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts cites this paper.

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts OpenAI o1 System Card

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-18T13:42:38.671584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5fc32b05-4502-4133-ac63-8010fc9d2791 · inbound

Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning cites this paper.

Geo-R1: Improving Few-Shot Geospatial Referring Expression Understanding with Reinforcement Fine-Tuning OpenAI o1 System Card

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-18T14:11:27.554766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 87ffe0e7-8f66-42b3-b0fc-a10df1cc34be · inbound

Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework cites this paper.

Mitigating Visual Context Degradation in Large Multimodal Models: A Training-Free Decoupled Agentic Framework OpenAI o1 System Card

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:32:36.444003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation aa64cf93-90a0-4ba0-851a-a2a8f0997d06 · inbound

Polychromic Objectives for Reinforcement Learning cites this paper.

Polychromic Objectives for Reinforcement Learning OpenAI o1 System Card

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-18T11:56:19.849526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1098bbcf-d623-4681-8586-c7ded60e23cb · inbound

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search cites this paper.

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search OpenAI o1 System Card

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:12:35.928771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.