Paper Citation Record · LEDGER

Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.10739.

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

pith.paper-citation-record.v1
2410.10739 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:17:12.033481Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 296ed549-69e3-49bc-b20d-14335f91793d · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:12.033481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a17a9477-1ee9-4b32-ab48-e522b6038f07 · inbound

Developing an ESG-Oriented Large Language Model through ESG Practices cites this paper.

Developing an ESG-Oriented Large Language Model through ESG Practices Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:55:10.782629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 81e2b158-73f7-4776-80bb-9629dff5298e · inbound

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:27:57.091221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a229b81b-5824-43fd-acba-34dbba695d19 · inbound

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents cites this paper.

AlphaMemo: Structured Search-Process Memory for Self-Evolving Alpha Mining Agents Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:03:41.274074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d6547fd2-85d1-443d-828e-eed25792ca8e · inbound

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:34:26.741111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 35fdd07e-9b13-431a-8797-12a7a3ed843e · inbound

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD cites this paper.

SLAI T-Rex: Full-Parameter Post-training of the DeepSeek-V4 Family on Ascend SuperPOD Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:44.262269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.