Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.08355.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:21:59.807252Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T03:36:29.706174Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fd2c4f4e-53ee-4bbe-ae42-1a3af1c1553d · inbound
Action Engine: Automatic Workflow Generation in FaaS cites this paper.
Action Engine: Automatic Workflow Generation in FaaS Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:10:22.026403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 041ac1e6-97b1-48e2-aefe-d219decd1e5a · inbound
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use cites this paper.
TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:26:49.064264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d504428-c82f-45f3-9994-25289e0ccef6 · inbound
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.
Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 135
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T06:00:19.632773Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecff0fad-2b2f-4a9f-8827-e3e5dd9e48b1 · inbound
MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations cites this paper.
MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T12:53:49.428866Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b814983d-f1e4-41b1-b7d4-e0377ad15bbe · inbound
Toward Efficient Agents: Memory, Tool learning, and Planning cites this paper.
Toward Efficient Agents: Memory, Tool learning, and Planning Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:21:45.717364Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 01e01045-3b79-42f0-b170-23ae11f296a6 · inbound
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards cites this paper.
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T00:18:22.727725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a1043c91-fa87-4a6f-bbab-5a8e448e393c · inbound
JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents cites this paper.
JTPRO: A Joint Tool-Prompt Reflective Optimization Framework for Language Agents Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 25
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T11:40:19.416412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 08cd1f7c-cbc3-4fdd-9af9-1a1a48664f99 · inbound
Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments cites this paper.
Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T03:36:29.707462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ac3c8879-6663-4cf9-afe9-98096837d5ea · inbound
SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information cites this paper.
SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information Seal-Tools: Self-Instruct Tool Learning Dataset for Agent Tuning and Detailed Benchmark
Reference 178
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:21:59.807252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.