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Paper Citation Record · LEDGER

Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.18890.

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

pith.paper-citation-record.v1
2410.18890 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:10:13.267945Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T00:29:47.791231Z

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 5bb5e6a3-fc1b-45df-92c5-b6d8182e9853 · inbound

MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications cites this paper.

MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:10:13.267945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:10:13.267945Z digest=sha256:ef7c58b5693b2a5a08f28b9fb88bbb52979d216aa7080304d2834dcf9302dba1

Observation 535412ba-ab79-4f6c-bc3f-16386e6dc8a0 · inbound

Advancing SLM Tool-Use Capability using Reinforcement Learning cites this paper.

Advancing SLM Tool-Use Capability using Reinforcement Learning Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T11:10:04.397873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:10:04.397873Z digest=sha256:00c231ba7e09c30664fb1f6c13491930760dc92026673243ff35a8f8937a9453

Observation 452cc3db-cb36-4c5e-b5e8-bcd4e90e7e7e · inbound

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models cites this paper.

Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:29:47.792643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T00:02:35.167281Z digest=sha256:7ed9288de54e9367ff4656b6296942b919a64fd7f1f330b99c3e274b8532b6c0