Paper Citation Record · LEDGER

Two-stage LLM Fine-tuning with Less Specialization and More Generalization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.00635.

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

pith.paper-citation-record.v1
2211.00635 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:02.906858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:08:12.394881Z

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 ffc55f16-4e27-4803-8c8a-29d97de63b2b · inbound

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Two-stage LLM Fine-tuning with Less Specialization and More Generalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:48:02.906858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 561346e4-6aab-4501-9622-726214a83758 · inbound

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning cites this paper.

CodeReasoner: Enhancing the Code Reasoning Ability with Reinforcement Learning Two-stage LLM Fine-tuning with Less Specialization and More Generalization

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T14:50:28.025062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a18a10f-4314-4b5a-829a-040842165960 · inbound

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning cites this paper.

StepCodeReasoner: Aligning Code Reasoning with Stepwise Execution Traces via Reinforcement Learning Two-stage LLM Fine-tuning with Less Specialization and More Generalization

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:32:20.241753Z

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.

Observation d3975118-79d7-4ea8-ae64-d6e4d60f9c34 · inbound

Reconciling Contradictory Views on the Effectiveness of SFT in LLMs: An Interaction Perspective cites this paper.

Reconciling Contradictory Views on the Effectiveness of SFT in LLMs: An Interaction Perspective Two-stage LLM Fine-tuning with Less Specialization and More Generalization

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:08:12.396590Z

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.