Paper Citation Record · LEDGER

DynaSaur: Large Language Agents Beyond Predefined Actions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2411.01747.

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

pith.paper-citation-record.v1
2411.01747 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:25:15.815010Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T17:02:40.815139Z

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 a0c5fdc8-a77b-403f-b160-b8656bf24a8b · inbound

Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security cites this paper.

Running in CIRCLE? A Simple Benchmark for LLM Code Interpreter Security DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:25:15.815010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5953828-a28e-40ca-8a1b-597be44116de · inbound

Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems cites this paper.

Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:11:52.722681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7c8ab7bb-ff15-4f79-bf87-0bc2f5996161 · inbound

Reinforcement Learning for Self-Improving Agent with Skill Library cites this paper.

Reinforcement Learning for Self-Improving Agent with Skill Library DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:05:30.606439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c697fd44-8ede-44af-ba90-99095c8cf725 · inbound

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space cites this paper.

CONDESION-BENCH: Conditional Decision-Making of Large Language Models in Compositional Action Space DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:46:53.536398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c036c338-71e6-42b3-bbcb-27797916aa9d · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:21:29.762285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 300d954c-bae1-4806-96ba-291006ff0146 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:17.086441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ab08214f-0146-42c3-8f3a-170844968c15 · inbound

Rethinking Agentic Reinforcement Learning In Large Language Models cites this paper.

Rethinking Agentic Reinforcement Learning In Large Language Models DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:02:40.816706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8d0de780-2e84-4c8b-8943-948d521e306b · inbound

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:31:29.272941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14e41f65-5d2b-4709-8cfc-bdcb8e92980e · inbound

Workload-Aware Caching for Multi-Agent Systems cites this paper.

Workload-Aware Caching for Multi-Agent Systems DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T11:22:59.122377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d742f155-ebfa-4348-9c78-f6068e7a937b · inbound

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs cites this paper.

CITBench: A Comprehensive Benchmark for Interactive Tabular Data Processing with LLMs DynaSaur: Large Language Agents Beyond Predefined Actions

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T02:02:25.766495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.