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Paper Citation Record · LEDGER

Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.09167.

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

pith.paper-citation-record.v1
2403.09167 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:58.517019Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T16:26:49.004566Z

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 9a39fc21-4569-4c3e-8936-7d2b97b1b35c · inbound

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report cites this paper.

Llama-3.1-FoundationAI-SecurityLLM-Base-8B Technical Report Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:58.517019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:58.517019Z digest=sha256:63313fa2c58d6fffb0a39be20bb4beb563843a6a7a6769045df6960a32d08ddd

Observation 4853250f-6eb7-47db-bb5c-c5c072e4b180 · inbound

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval cites this paper.

MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval Dial-insight: Fine-tuning Large Language Models with High-Quality Domain-Specific Data Preventing Capability Collapse

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:26:49.010547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-15T16:26:48.741370Z digest=sha256:af91b8436342457824c3fc008983a307b0dadd6593185d05d1f3ee33b7ed4952