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Paper Citation Record · LEDGER

Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.09906.

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

pith.paper-citation-record.v1
2412.09906 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:12:42.032360Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:26:00.911918Z

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 85b10bc3-ed96-49e5-9542-daf85d2a01bb · inbound

Error-Aware Curriculum Learning for Biomedical Relation Classification cites this paper.

Error-Aware Curriculum Learning for Biomedical Relation Classification Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:12:42.032360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:12:42.032360Z digest=sha256:f6c2def53815b00fcfae54b0f02cc9304f7a0b1e0e000af8341b749b47c79c61

Observation a5849767-c192-4325-8173-5f6ffbf6bb49 · inbound

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production cites this paper.

SLM Finetuning for Natural Language to Domain Specific Code Generation in Production Enhancing the Reasoning Capabilities of Small Language Models via Solution Guidance Fine-Tuning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:26:00.914480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T16:38:30.184565Z digest=sha256:d368c57520cf06a9500c75f2cb7deb2a27e08d811d1a6c0b4a20951e168e5c21