Paper Citation Record · LEDGER

Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.14672.

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

pith.paper-citation-record.v1
2402.14672 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:23:06.358940Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T14:15:55.726233Z

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 0055aadd-97f1-45c2-9c70-9215b6bf2cab · inbound

ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast \& Slow Reasoning for Robust Agent Defense cites this paper.

ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast \& Slow Reasoning for Robust Agent Defense Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:06.358940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1aeac4-d5df-4861-9806-ea3508dfb2c6 · inbound

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:35.613573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17661e9a-31f1-439d-9e8c-16298fe48106 · inbound

SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL cites this paper.

SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:09.475561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b64ec8b9-ddfc-40ec-820c-1f2bb5b28814 · inbound

Security Considerations for Multi-agent Systems cites this paper.

Security Considerations for Multi-agent Systems Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Reference 292

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:15:55.729454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ec44bfe0-c8e3-4e60-a053-48d089590f1e · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Reference 115

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:45:59.435263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 58e6dacb-03ef-4410-9907-741d93b62419 · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments

Reference 100

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:01:00.791268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.