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Paper Citation Record · LEDGER

Small Language Models for Application Interactions: A Case Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20347.

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

pith.paper-citation-record.v1
2405.20347 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:43:33.175251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:33:50.707499Z

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 d78d3784-cc8d-4a43-bd31-222a5b0741ff · inbound

Large Language Models for Supply Chain Decisions cites this paper.

Large Language Models for Supply Chain Decisions Small Language Models for Application Interactions: A Case Study

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T12:43:33.175251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:43:33.175251Z digest=sha256:dd6c38514d97d9ee57ec108255e94cc19bbfad633171e7ce71d0d6c4f6a623cd

Observation b6283fed-6b90-45df-b1d1-ca5a74bf44d6 · inbound

Can Hallucinations Be Useful? Solving Multi-Hop Questions With SLMs By Chaining System-I/II Reasoning cites this paper.

Can Hallucinations Be Useful? Solving Multi-Hop Questions With SLMs By Chaining System-I/II Reasoning Small Language Models for Application Interactions: A Case Study

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:33:50.708920Z

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=2026-06-29T18:27:56.586839Z digest=sha256:6dec9d91b575c57011370f001acf4d753c1a177712154e019cfb8c99216481c3