Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-19T01:50:30.626249Z
Paper Citation Record · LEDGER
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
As of 4 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 9 inbound Pith citation observations for arXiv:2508.00414.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T15:41:28.727344Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T17:27:26.693631Z
Reference resolution
17 of 17 outbound references displayed
- verified exact8
- verified fuzzy3
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch5
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1bf66ad9-7ba6-4f05-9902-499d49ce1862 · outbound
This paper cites TapeAgents: a Holistic Framework for Agent Development and Optimization.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training TapeAgents: a Holistic Framework for Agent Development and Optimization
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:51:57.878064Z
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 dcd1921c-2100-4369-a754-a4603caf6a1e · outbound
This paper cites Edward Beeching, Shengyi Costa Huang, Albert Jiang, Jia Li, Benjamin Lipkin, Zihan Qina, Kashif Rasul, Ziju Shen, Roman Soletskyi, and Lewis Tunstall.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Edward Beeching, Shengyi Costa Huang, Albert Jiang, Jia Li, Benjamin Lipkin, Zihan Qina, Kashif Rasul, Ziju Shen, Roman Soletskyi, and Lewis Tunstall
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:51:58.060762Z
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 dd83194e-372c-4cd1-82d5-e0c46d76f3eb · outbound
This paper cites WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training WebEvolver: Enhancing Web Agent Self-Improvement with Coevolving World Model
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:51:57.887846Z
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 5b18aa0c-f28e-4536-8598-07fa6a1e197f · outbound
This paper cites Scaling Synthetic Data Creation with 1,000,000,000 Personas.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Scaling Synthetic Data Creation with 1,000,000,000 Personas
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T01:51:57.872811Z
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 198a05e0-630e-402b-8aa3-533b15fad537 · outbound
This paper cites Webvoyager: Building an end-to-end web agent with large multimodal models.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Webvoyager: Building an end-to-end web agent with large multimodal models
Reference 5
- Resolution
- metadata mismatch
- doi, observed 2026-05-19T01:51:57.843333Z
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 82576065-f638-485c-9e36-dccbd332a26a · outbound
This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Search-o1: Agentic Search-Enhanced Large Reasoning Models
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T01:51:57.833087Z
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 eb6b756d-ea48-410d-9b8e-637539626a4b · outbound
This paper cites doi: 10.18653/v1/2021.findings-acl.131.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training doi: 10.18653/v1/2021.findings-acl.131
Reference 7
- Resolution
- verified exact
- doi, observed 2026-05-19T01:51:57.827152Z
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 6d380476-b4b6-47f5-b66a-3ed099a28551 · outbound
This paper cites doi: 10.18653/v1/2023.findings-emn lp.191.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training doi: 10.18653/v1/2023.findings-emn lp.191
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-19T01:51:57.847597Z
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 3233b74b-55f4-43f7-82d0-220c249b78a2 · outbound
This paper cites Moonshot AI.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Moonshot AI
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:51:58.058172Z
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 99b1e69a-4a74-4a8a-a600-69502174ec42 · outbound
This paper cites Aymeric Roucher, Albert Villanova del Moral, Thomas Wolf, Leandro von Werra, and Erik Kaunis- mäki.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Aymeric Roucher, Albert Villanova del Moral, Thomas Wolf, Leandro von Werra, and Erik Kaunis- mäki
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-19T01:51:58.055324Z
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 20b21e7f-1581-419a-8b39-3d671d1c1c14 · outbound
This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-19T01:51:57.868158Z
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 17d5f085-2062-4687-96b2-8b0d46a39a98 · outbound
This paper cites WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T01:51:57.882945Z
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 e7b6cfcf-5813-4a4d-95e9-51d39c9b2157 · outbound
This paper cites WebWalker: Benchmarking LLMs in Web Traversal.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training WebWalker: Benchmarking LLMs in Web Traversal
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T01:51:57.838814Z
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 38100e7e-270f-4698-a02b-17476ffd9077 · outbound
This paper cites Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:51:57.822078Z
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 9b65c159-bdc7-4a02-8fda-10dd6451f6da · outbound
This paper cites OAgents: An Empirical Study of Building Effective Agents.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training OAgents: An Empirical Study of Building Effective Agents
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T01:51:57.862354Z
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 63007fac-a14c-4a71-8524-8748ffb42dc9 · outbound
This paper cites DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-19T01:51:57.892670Z
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 bf43d554-61c2-45e7-909c-83de5c4d2d23 · outbound
This paper cites an unresolved cited work.
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-19T01:51:58.063520Z
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 edb9d248-4885-4172-8f73-4a7c93ccd786 · inbound
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling cites this paper.
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T21:45:17.809219Z
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 705ce995-44c9-4020-8780-d09bb1a1798f · inbound
DynaWeb: Model-Based Reinforcement Learning of Web Agents cites this paper.
DynaWeb: Model-Based Reinforcement Learning of Web Agents Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T09:37:41.957803Z
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 1473037a-fe05-4e46-b919-7bceff3c9e89 · inbound
Mind DeepResearch Technical Report cites this paper.
Mind DeepResearch Technical Report Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T11:50:20.474938Z
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 2b57d1bc-1841-4ffc-a430-540c486ca2cd · inbound
Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.
Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-10T12:10:23.410135Z
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 2dbc48a0-671f-4214-afee-744dcf0d3425 · inbound
SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning cites this paper.
SciResearcher: Scaling Deep Research Agents for Frontier Scientific Reasoning Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-11T17:01:08.463660Z
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 a1ece557-5e33-492e-bd90-82107d9b4733 · inbound
Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling cites this paper.
Beyond Trajectory Rewards: Step-level Credit Assignment for Agentic Search via Graph Modeling Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T08:03:14.283420Z
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 af6cc51e-7ea1-4531-b762-e0f61f8f2f22 · inbound
SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding cites this paper.
SciLens: Multi-modal Scientific Claim Verification with Agentic Entailment and Grounding Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-04T03:59:34.110131Z
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 ee5f55e5-4121-4e69-ae1b-2926557b0ef1 · inbound
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment cites this paper.
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-10T17:27:26.695069Z
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 1482019f-4ab9-46c1-8ba3-2aefeb2b6679 · inbound
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment cites this paper.
DeepSearch-World: Self-Distillation for Deep Search Agents in a Verifiable Environment Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T15:41:28.727344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.