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Paper Citation Record · LEDGER

AGILE: A Novel Reinforcement Learning Framework of LLM Agents

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14751.

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

pith.paper-citation-record.v1
2405.14751 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:32:45.897175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T12:02:16.691021Z

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 eb2d3262-c742-4b9b-91db-f4bc0f603e5a · inbound

Enabling Autonomic Microservice Management through Self-Learning Agents cites this paper.

Enabling Autonomic Microservice Management through Self-Learning Agents AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T21:32:45.897175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:32:45.897175Z digest=sha256:ef84cec5b50cec20e737802504383e0d9b04956bd6da20ce88e6f66245d0794a

Observation a3bb3af5-ab39-4077-9a86-7461ff5ecf13 · inbound

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability cites this paper.

MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:17.923881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:17.923881Z digest=sha256:b12f3c0921d31c000c24fa49ee1e1fb6639aa529e833ab5dbc2363c89694ec1a

Observation c511ea40-060a-4eae-ac6c-2f12ffdad89e · inbound

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games cites this paper.

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:02:16.693117Z

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.

source=pdf_text observed=2026-05-19T12:01:42.681135Z digest=sha256:189d22a32e545b56839d7e8b40915d84e6bb2320b40eb89a0a83c31bee0e7622

Observation e1287f9b-babd-4ceb-9e37-6c71da9d6bdc · inbound

Cognitive Agents Powered by Large Language Models for Agile Software Project Management cites this paper.

Cognitive Agents Powered by Large Language Models for Agile Software Project Management AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T17:59:25.672829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:59:25.672829Z digest=sha256:54b15a39bed335f2d138e15b5bb1e3adfce1788695fb036fca7d30808690e77b