Paper Citation Record · LEDGER

Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

As of 19 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 7 inbound Pith citation observations for arXiv:2508.01908.

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

pith.paper-citation-record.v1
2508.01908 v1

Coverage vector

measured 1 of 1 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:19:53.634891Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:25.657810Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.916449Z

Reference resolution

1 of 1 outbound references displayed

verified exact1
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75f5cf4c-aff6-4a7a-9b13-ae50f5ed21ba · outbound

This paper cites an unresolved cited work.

Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models Unresolved cited work

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-08-06T05:19:53.975247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

Observation db1ca58f-6412-4f2b-92b5-f07e5c1b9f44 · inbound

MuLoCo: Muon is a practical inner optimizer for DiLoCo cites this paper.

MuLoCo: Muon is a practical inner optimizer for DiLoCo Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:25.657810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28eae9c9-ad32-4ff1-9ee2-4bcb1070b2b1 · inbound

Replay-Based Continual Learning for Physics-Informed Neural Operators cites this paper.

Replay-Based Continual Learning for Physics-Informed Neural Operators Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:36:07.379818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 26b92e98-9bb6-4a39-97fa-d2b3a55114bb · inbound

Attribution-Guided Continual Learning for Large Language Models cites this paper.

Attribution-Guided Continual Learning for Large Language Models Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:11:05.469303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a67f3097-a470-451e-a6da-38bf27867707 · inbound

Attribution-Guided Continual Learning for Large Language Models cites this paper.

Attribution-Guided Continual Learning for Large Language Models Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T19:12:02.449224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 375b4ee8-4a09-48aa-9365-84847ad83b16 · inbound

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.

TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:07:41.616092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a41a8f0d-3fa0-42f9-9ccc-ae9208b21486 · inbound

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning cites this paper.

Dynamic Proxy-Mixing: Transferring Replay Controllers from Small to Large Models for Continual Instruction Tuning Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:02:46.614917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63d1d254-97b2-484a-acc7-bcfaadbeaedd · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Revisiting Replay and Gradient Alignment for Continual Pre-Training of Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.917678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.