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Paper Citation Record · LEDGER

Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2401.07324.

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

pith.paper-citation-record.v1
2401.07324 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-25T20:58:26.602409Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.237517Z

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 fe7a4a87-a7d8-4d75-a1d4-87035f0cf37f · inbound

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement cites this paper.

Language Models as Efficient Reward Function Searchers for Custom-Environment Multi-Objective Reinforcement Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:03:26.393786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T21:02:03.017690Z digest=sha256:1e2d4ba4c85916401a96636b0510670b8046070ec93e1e9a487aa976ed80d669

Observation 4d980065-11e5-4eeb-a5f4-6007c677edae · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:48:20.475285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:03f4401e723bcc6335e5f649b7cf0506acae39e286e093f592097cf28577b039

Observation 41021a20-68a5-4910-9b7c-a6b8cefbb596 · inbound

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration cites this paper.

NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:13:01.846888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T08:12:10.542542Z digest=sha256:b730c5ecbf3641bbf0cb12201d8e85e8b4c3473a2801b32ec9da2ea6812f8d40

Observation a7bb54b3-b6e8-4426-8ebc-f2c4ff896f5a · inbound

FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing cites this paper.

FaSTA$^*$: Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:17:10.766472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T08:17:08.223736Z digest=sha256:004b6e55f51b18a82754ac50b949ae82a9a373fde2958944392f1351b2c10f3f

Observation 775fd877-4b46-4eff-a811-5c5853b4de16 · inbound

GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology cites this paper.

GIST: Multimodal Knowledge Extraction and Spatial Grounding via Intelligent Semantic Topology Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T11:00:04.557881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T10:29:36.205471Z digest=sha256:d59a1eea02434d4be5e2ff002341250cd79ace50d8d7ac789b97ba18609d94f8

Observation 798b8805-8baf-4fcf-8eab-e256fe5efa52 · inbound

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents cites this paper.

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 93

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:31:12.211329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-08T15:45:27.700503Z digest=sha256:784b97c9fd09860b949799f3359b4e5076f005810081ffff33195c8eaaf567ec

Observation 34dcbb5c-7f99-4049-a8b6-f87893bbbfe7 · inbound

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) cites this paper.

ERFSL: An Efficient Reward Function Searcher via Language Models for Custom-Environment Multi-Objective Optimization (Student Abstract) Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T05:08:05.290847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T05:03:28.824500Z digest=sha256:ab7877ac5521e2eeebeb65f5a579165a58f6c769c9ed7c32695a276c0cfeecff

Observation 6016dd8e-32e2-432c-aa3b-a81d72933458 · inbound

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints cites this paper.

Constraint Tax in Open-Weight LLMs: An Empirical Study of Tool Calling Suppression Under Structured Output Constraints Small LLMs Are Weak Tool Learners: A Multi-LLM Agent

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:50:11.239132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-25T20:58:26.602409Z digest=sha256:313c4eb75d94a374e07d8b8264cab70401e9f8f790ce04d4e4032f8f371cb80e