Pith. sign in

Paper Citation Record · LEDGER

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.04945.

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

pith.paper-citation-record.v1
2310.04945 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 2026-08-08T16:11:18.598661Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T17:42:47.408977Z

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 73a3bd7c-ae58-4ed2-91b9-a1abe31580eb · inbound

DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models cites this paper.

DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:18.598661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:18.598661Z digest=sha256:43050c5437ba83c28a5e9a61d0f4978bdca807a7325747f58ea6f0afc793fc75

Observation 7be10995-12dd-490a-a3d4-b6e3096ab473 · inbound

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector cites this paper.

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-18T17:42:47.411663Z

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=2026-05-18T17:39:17.456350Z digest=sha256:5109f753ffa988ef96b604288f3e6f33d0b86bd3e398a05c8decf1668971b2f0