Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T13:38:10.466713Z
Paper Citation Record · LEDGER
SEAL: Synergistic Co-Evolution of Agents and Learning Environments
As of 5 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2605.24426.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T03:38:19.956424Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact33
- verified fuzzy23
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1c78fceb-54ec-4170-84a5-994c840b826e · outbound
This paper cites React: Synergizing reasoning and acting in language models.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments React: Synergizing reasoning and acting in language models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.059271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4de7026f-bbb7-482e-84e9-517ef13da2d5 · outbound
This paper cites Toolformer: Language models can teach themselves to use tools.Advances in neural information processing systems, 36:68539–68551.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Toolformer: Language models can teach themselves to use tools.Advances in neural information processing systems, 36:68539–68551
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.049742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 53443012-9503-4807-aa5a-b2f33e8b7038 · outbound
This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.056865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 81a302d6-d8d9-495a-842d-05eab323213c · outbound
This paper cites arXiv preprint arXiv:2602.05847 (2026).
SEAL: Synergistic Co-Evolution of Agents and Learning Environments arXiv preprint arXiv:2602.05847 (2026)
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.919268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8c4705c1-9cb9-4434-a50c-8587282ac42c · outbound
This paper cites Dual Latent Memory for Visual Multi-agent System.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Dual Latent Memory for Visual Multi-agent System
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.908469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7256f048-6d66-4e1c-b151-135c5b8ee329 · outbound
This paper cites ToolRL: Reward is All Tool Learning Needs.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments ToolRL: Reward is All Tool Learning Needs
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.851245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d50181a9-f33e-475c-9d4a-b1f5c2de89f2 · outbound
This paper cites Agentic Reasoning for Large Language Models.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Agentic Reasoning for Large Language Models
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.887501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 268df4df-45ea-4928-8edd-21dcd34df3f4 · outbound
This paper cites Agentgen: Enhancing planning abilities for large language model based agent via environment and task generation.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Agentgen: Enhancing planning abilities for large language model based agent via environment and task generation
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.043207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cc316e20-bc03-49cb-bd45-83b93ca5645c · outbound
This paper cites Counterfactual evolution of multimodal datasets via visual programming.Advances in Neural Information Processing Systems, 38:81947–81976, 2026.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Counterfactual evolution of multimodal datasets via visual programming.Advances in Neural Information Processing Systems, 38:81947–81976, 2026
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.061364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5b2701e6-f359-4f2f-8b9f-12fc39f0b7c3 · outbound
This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Voyager: An Open-Ended Embodied Agent with Large Language Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.949212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 389c574d-dd67-4026-80d0-7139f131752e · outbound
This paper cites Agentevolver: Towards efficient self-evolving agent system.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Agentevolver: Towards efficient self-evolving agent system
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.954629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 05f8e24b-c606-48fc-ae8a-2de93b7b038e · outbound
This paper cites arXiv preprint arXiv:2508.02085 , year=.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments arXiv preprint arXiv:2508.02085 , year=
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.951963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 55762d63-dab0-482a-9f87-9dd785bbe112 · outbound
This paper cites SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.945848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77edf011-fe24-4783-bd91-26aa0bd0baf3 · outbound
This paper cites AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments AtlasVA: Self-Evolving Visual Skill Memory for Teacher-Free VLM Agents
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.942959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b143305-ae65-4a9a-88c1-3ae6e3c5102b · outbound
This paper cites Api-bank: A comprehensive benchmark for tool-augmented llms.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Api-bank: A comprehensive benchmark for tool-augmented llms
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.063308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5787b8a-20fe-440e-8425-1f025929d822 · outbound
This paper cites Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Osworld: Benchmarking multimodal agents for open-ended tasks in real computer environments.Advances in Neural Information Processing Systems, 37:52040–52094
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.063495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c318fede-efab-4c17-842a-60bab8a577ec · outbound
This paper cites Agent-Environment Alignment via Automated Interface Generation.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Agent-Environment Alignment via Automated Interface Generation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.932238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de848b29-01db-4aa8-897c-29ef270f3b99 · outbound
This paper cites Glove: Global verifier for llm memory-environment realignment.arXiv preprint arXiv:2601.19249, 2026.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Glove: Global verifier for llm memory-environment realignment.arXiv preprint arXiv:2601.19249, 2026
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.944040Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe9bad64-a85e-46f6-941e-9e42c37cebb0 · outbound
This paper cites Tool execution hallucination in llm-based agents: A unified taxonomy with detection, mitigation, and future directions.TechRxiv, 2026.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Tool execution hallucination in llm-based agents: A unified taxonomy with detection, mitigation, and future directions.TechRxiv, 2026
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.045440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 40ab5e3a-ed25-4e13-a430-5303dca9159d · outbound
This paper cites Evotool: Self-evolving tool-use policy optimization in llm agents via blame-aware mutation and diversity-aware selection.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Evotool: Self-evolving tool-use policy optimization in llm agents via blame-aware mutation and diversity-aware selection
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.929719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e0a71aea-cdbb-47a8-b932-9d331bf073d4 · outbound
This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments R-Zero: Self-Evolving Reasoning LLM from Zero Data
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.924437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 564c48f5-03ab-4bf5-bec0-99c7ad73ab0c · outbound
This paper cites Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.927696Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04ec941d-8ecb-4db9-9539-8cceb2e5f738 · outbound
This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.937292Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ca2d437-8cf5-4413-82f6-7209fe6660e3 · outbound
This paper cites A systematic survey of self-evolving agents: From model-centric to environment-driven co-evolution.TechRxiv, 2026.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments A systematic survey of self-evolving agents: From model-centric to environment-driven co-evolution.TechRxiv, 2026
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.032056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5ce98756-ee23-4731-8aad-1a9949dfb770 · outbound
This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.951185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 417ec89a-c09e-46a4-ab3f-2cd3fd4763d8 · outbound
This paper cites Curriculum learning.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Curriculum learning
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.034320Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2affa55e-1e8d-4f66-b26d-56e27e4ca823 · outbound
This paper cites Don’t just fine-tune the agent, tune the environment,.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Don’t just fine-tune the agent, tune the environment,
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.922028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 64082bb1-aa62-4099-9293-b024fb588fc6 · outbound
This paper cites CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.924589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 539dab62-b74b-4097-a0ee-5794f35ef34c · outbound
This paper cites 12 EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL P.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments 12 EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL P
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.932726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b2c94e73-dfbe-4b78-b362-8256a54ce4f9 · outbound
This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.946399Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation aafdcda5-f87b-4129-acb1-c308ff910373 · outbound
This paper cites Self-consolidation for self-evolving agents.arXiv preprint arXiv:2602.01966, 2026.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Self-consolidation for self-evolving agents.arXiv preprint arXiv:2602.01966, 2026
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.916638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a5f4fbf7-d06f-4e7f-9505-18c7aa1ebd3f · outbound
This paper cites GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.919429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bc42eade-f812-4812-a224-e5846d532a6d · outbound
This paper cites Zweiger, J.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Zweiger, J
Reference 33
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:44:40.903564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a92e8342-16ff-431a-aada-51f172f8dce0 · outbound
This paper cites Teacher-student curriculum learning.IEEE Transactions on Neural Networks and Learning Systems, 31(9):3732–3740, 2020.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Teacher-student curriculum learning.IEEE Transactions on Neural Networks and Learning Systems, 31(9):3732–3740, 2020
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.029756Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 10b9f146-5f57-4265-86e1-4171eacc0a10 · outbound
This paper cites Automatic curriculum learning for deep RL: A short survey.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Automatic curriculum learning for deep RL: A short survey
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.022457Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e82606e8-8e98-4fb8-8ce8-dd81b175b274 · outbound
This paper cites Self-instruct: Aligning language models with self-generated instructions.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Self-instruct: Aligning language models with self-generated instructions
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.027414Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4dabd8a1-8f97-47ab-af45-40a675633695 · outbound
This paper cites Wizardlm: Empowering large pre-trained language models to follow complex instructions.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Wizardlm: Empowering large pre-trained language models to follow complex instructions
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.024607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 11237192-69ab-4110-ae4d-3e5691626722 · outbound
This paper cites Large Language Models as Tool Makers.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Large Language Models as Tool Makers
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.906426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 295adf40-4d85-4c41-8f5b-cbf600470020 · outbound
This paper cites Creator: Tool creation for disentangling abstract and concrete reasoning of large language models.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Creator: Tool creation for disentangling abstract and concrete reasoning of large language models
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.037074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 21ec0efb-95c4-465c-a353-61431def895f · outbound
This paper cites CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.900796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f81dc993-0329-4cb9-ade1-5832ce0a93fb · outbound
This paper cites The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments The berkeley function calling leaderboard (bfcl): From tool use to agentic evaluation of large language models
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.041142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8991ba4d-c681-4704-b931-e367aa42e001 · outbound
This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments WebArena: A Realistic Web Environment for Building Autonomous Agents
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.908789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a8748207-cea0-4829-8cfc-1c1a7ef0c767 · outbound
This paper cites AgentBench: Evaluating LLMs as Agents.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments AgentBench: Evaluating LLMs as Agents
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.895999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 46e48186-20b4-4ae9-b075-b599fc083db4 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.897805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b60a2987-9a79-4afe-b54d-839ea9a8336e · outbound
This paper cites AgentGym: Evolving Large Language Model-based Agents across Diverse Environments.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.906170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 991413b4-7efe-4512-9893-f7a98cbbfdaf · outbound
This paper cites Autoenv: Automated environments for measuring cross-environment agent learning.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Autoenv: Automated environments for measuring cross-environment agent learning
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.913878Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ced64958-f5ce-4bd7-94d7-87f26ecb067b · outbound
This paper cites Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Genenv: Difficulty-aligned co-evolution between llm agents and environment simulators
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:44:40.892415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1e16dcd2-647d-4385-937b-ce26c17c18a7 · outbound
This paper cites Gemini 3 pro preview model documentation.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Gemini 3 pro preview model documentation
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.051677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b5f84f7e-1a01-41b7-b910-75cd38335c0b · outbound
This paper cites Claude sonnet 4.5 system card.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Claude sonnet 4.5 system card
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.039090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dfc7eb22-acec-4f7f-9b1f-bcf68f162d0e · outbound
This paper cites GPT-4o System Card.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments GPT-4o System Card
Reference 50
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-30T13:44:40.889628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cfaf538c-beb3-44ac-bb51-72b6bceca06e · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.887307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 37808228-10f1-4848-88c2-ea51ad5bd82c · outbound
This paper cites Glm-4.6 model card.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Glm-4.6 model card
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.018765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ee9dab7-6478-4e2f-8fd0-bd186ae501bf · outbound
This paper cites Qwen3 Technical Report.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Qwen3 Technical Report
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.884691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6d4dce9e-fcdf-461e-ac5a-5235a86b898d · outbound
This paper cites Qwen2.5 Technical Report.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Qwen2.5 Technical Report
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T13:44:40.898293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ea7be826-a4fd-4a2c-9987-2438b420f402 · outbound
This paper cites xlam-2-3b-fc-r model card.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments xlam-2-3b-fc-r model card
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.020609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78dfbe51-f149-4a5e-864e-00e35f717c9e · outbound
This paper cites Toolace: Winning the points of llm function calling.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Toolace: Winning the points of llm function calling
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.053210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ab959e8d-64b7-4a2f-b6e9-b1d4f029aaa2 · outbound
This paper cites Bitagent-8b model card.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments Bitagent-8b model card
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.051076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b33c1d6-aaca-41e9-8578-fe29e1ac080b · outbound
This paper cites name": <function-name>,.
SEAL: Synergistic Co-Evolution of Agents and Learning Environments name": <function-name>,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T01:25:50.058674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
Observation 209537c7-edf2-4958-943b-a557f7aa13da · inbound
AgentOmnia: Scaling Agentic Models for Full-Scenario Applications cites this paper.
AgentOmnia: Scaling Agentic Models for Full-Scenario Applications SEAL: Synergistic Co-Evolution of Agents and Learning Environments
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T03:38:19.956424Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.