Paper Citation Record · LEDGER

Continual Pre-training of Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2302.03241.

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

pith.paper-citation-record.v1
2302.03241 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:31.713925Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:24:01.963863Z

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 921063f1-6e6e-4ce5-8f3d-19c5d5d8f569 · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models Continual Pre-training of Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:45:48.948200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad19ebae-2d5a-4a6e-bb41-d08380558b00 · inbound

Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs cites this paper.

Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs Continual Pre-training of Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:31.713925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73ddad87-78bb-4a09-a9e0-731211447055 · inbound

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL cites this paper.

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL Continual Pre-training of Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:37.342138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5474a7be-41a2-4b96-b427-2c51bf97229d · inbound

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection cites this paper.

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection Continual Pre-training of Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:54.880750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9249228c-1fdd-4188-b2ac-11b50a54c596 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Continual Pre-training of Language Models

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:23.861194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a28d15-4050-4a44-a6d8-1de3b97291e5 · inbound

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding cites this paper.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual Pre-training of Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:09.647212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e439bcc1-23b8-4871-a4ca-dbc8711b2e83 · inbound

AI-Assisted Fixes to Code Review Comments at Scale cites this paper.

AI-Assisted Fixes to Code Review Comments at Scale Continual Pre-training of Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:29:47.708700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72de1ada-a28b-4c56-aa12-d5c0e60c7a24 · 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 Continual Pre-training of Language Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:42:47.455682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 911fdbd9-5e8c-43f8-aa34-e0a881a701ff · inbound

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization cites this paper.

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization Continual Pre-training of Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:51:30.401187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e65f9345-c86b-4de6-9f95-d43377b06f5c · inbound

Learning to Discover at Test Time cites this paper.

Learning to Discover at Test Time Continual Pre-training of Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:16:04.138617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae411208-6855-4ce0-93bb-4518282acf59 · inbound

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis cites this paper.

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis Continual Pre-training of Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:37:41.664096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24e3ec75-1195-4eac-84a1-ad6c5708bdbb · inbound

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration cites this paper.

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration Continual Pre-training of Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T18:36:58.134724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5d88d4-be8b-4722-9808-66c2265a11b0 · inbound

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning cites this paper.

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning Continual Pre-training of Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:15.049738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55306f03-a062-40a7-b64f-62c43e096524 · 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 Continual Pre-training of Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:56:25.597688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f42279f7-5a37-4751-8db8-b59e099fcdc3 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model Continual Pre-training of Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T03:19:43.393031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e5d8e25b-7f4b-4b5a-84c9-9a33b867ef17 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model Continual Pre-training of Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:39:53.612682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74830d9e-524c-4ee6-909d-e17a937d0c3b · inbound

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining cites this paper.

Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining Continual Pre-training of Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:49:49.898714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a63f0fc3-a9dc-4d0f-8893-f6a0ea715761 · inbound

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay cites this paper.

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay Continual Pre-training of Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:24:01.965352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6e68a9f-f59c-4174-9689-4b9adf2fb501 · inbound

Scaling Point-in-Time Language Models cites this paper.

Scaling Point-in-Time Language Models Continual Pre-training of Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T15:39:37.977391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c1bf4c-5c67-45d0-a258-d09e19262ba6 · inbound

Learning to Prepare Molecular Ground States with Transformer Models cites this paper.

Learning to Prepare Molecular Ground States with Transformer Models Continual Pre-training of Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T04:45:23.593279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.