Paper Citation Record · LEDGER

Investigating Continual Pretraining in Large Language Models: Insights and Implications

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.17400.

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

pith.paper-citation-record.v1
2402.17400 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:46:10.150028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:05:31.119035Z

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 db14d772-a198-4f3e-99d2-a60c42d1779c · inbound

Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali cites this paper.

Domain-adaptative Continual Learning for Low-resource Tasks: Evaluation on Nepali Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T12:46:10.150028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed9b909-d985-4441-b8da-34d9596a5c88 · inbound

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy cites this paper.

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T18:58:34.558690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24b41f8c-5fc7-4375-9292-71df5dded36e · inbound

Improving Continual Pre-training Through Seamless Data Packing cites this paper.

Improving Continual Pre-training Through Seamless Data Packing Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:05.038672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db548619-6622-4b78-ab9c-fabcf217eab4 · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:15.026883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ec41c2e-14e0-4eaa-938d-02efc81616af · inbound

Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs cites this paper.

Question Answering under Temporal Conflict: Evaluating and Organizing Evolving Knowledge with LLMs Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:48.832534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d858e5-6640-499b-a206-a0d3c17dce88 · inbound

Forward-Only Continual Learning cites this paper.

Forward-Only Continual Learning Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:26.018390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d33b2518-fa94-4d63-aaae-76b19973227b · inbound

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization cites this paper.

Capacity-Aware Mixture Law Enables Efficient LLM Data Optimization Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:25:55.372535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e3077c5a-03e6-4806-9be3-5d9c28d9638f · inbound

Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks cites this paper.

Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:51:29.820067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1796f0f4-2d41-40d4-b634-9a303d3e2c54 · inbound

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning cites this paper.

Shortcut Solutions Learned by Transformers Impair Continual Compositional Reasoning Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:06:05.545554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0495b1ab-28d3-4b12-9a6c-f0032dde9d01 · inbound

Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm cites this paper.

Towards Understanding Continual Factual Knowledge Acquisition of Language Models: From Theory to Algorithm Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:56:25.576711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d1ecebc-f578-4012-81b4-be5a6bbc4e69 · inbound

Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights cites this paper.

Threat Modelling using Domain-Adapted Language Models: Empirical Evaluation and Insights Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:56:25.848549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ddcb007-9c69-4cee-93a4-3c19ac89bd04 · inbound

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare cites this paper.

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:05:31.121275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc374ee4-8db5-4941-94ef-28f47914c581 · 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 Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-01T10:42:42.659428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f2d48b4-08a9-476a-88d7-11bdaff698cb · inbound

The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability cites this paper.

The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 2000

Resolution: malformed identifier; no resolver link, observed 2026-08-01T10:18:19.834210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496c8593-83d2-4257-b7fe-5f5e59d7b02a · inbound

Continual Learning in Transition cites this paper.

Continual Learning in Transition Investigating Continual Pretraining in Large Language Models: Insights and Implications

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:11.687172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.