Paper Citation Record · LEDGER

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay

As of 8 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2508.04676.

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

pith.paper-citation-record.v1
2508.04676 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:54:27.362235Z

measured 46 of 46 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T09:05:33.034464Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T09:13:16.301066Z

Reference resolution

44 of 44 outbound references displayed

verified exact0
verified fuzzy25
unresolved16
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6f9ed571-e0b6-42aa-a3f0-c67c9f6bb7cb · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:22.998215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34fa1b53-ec1b-46e7-a916-961858ea1b25 · outbound

This paper cites Concept-1k: A novel benchmark for instance incremental learning,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Concept-1k: A novel benchmark for instance incremental learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.898085Z

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 4aaeacdd-b6ac-4123-b652-20f406154120 · outbound

This paper cites Continual Learning of Large Language Models: A Comprehensive Survey.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Continual Learning of Large Language Models: A Comprehensive Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:23.113997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f95199bc-5376-413f-bd75-b630e5e62b99 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:23.189170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4804479-37a6-4ff7-8d97-1f04e3d6bd80 · outbound

This paper cites Qwen2.5 Technical Report.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Qwen2.5 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:23.333100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a04df5bd-5300-470e-807b-26ef7c2b737e · outbound

This paper cites Emergence of simple-cell recep- tive field properties by learning a sparse code for natural images,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Emergence of simple-cell recep- tive field properties by learning a sparse code for natural images,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.884983Z

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 02fea985-c3d5-4d77-9304-bc2023c8167c · outbound

This paper cites Sparse and powerful cortical spikes,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Sparse and powerful cortical spikes,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.872631Z

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 45b268ad-5fea-4f87-867b-784a007a4395 · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Continual lifelong learning with neural networks: A review,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.859031Z

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 9de862b1-2ff5-455c-89a3-1cd23049e231 · outbound

This paper cites Catastrophic forgetting in connectionist networks,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Catastrophic forgetting in connectionist networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.847087Z

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 3281ebca-4aa1-44b1-84c7-44fada9a78c2 · outbound

This paper cites Experience replay for continual learning,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Experience replay for continual learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.834929Z

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 edff8a82-ea57-47a3-b3d5-b8d8911951c7 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Overcoming catastrophic forgetting in neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.822240Z

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 c94188ed-ec11-4c8e-8d7a-77cbf6339d6e · outbound

This paper cites Learning without forgetting,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Learning without forgetting,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.810045Z

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 083411ef-4259-43b3-9a1f-e415a67e6e9a · outbound

This paper cites Progressive Neural Networks.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Progressive Neural Networks

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5616900b-bcdf-4387-9ab7-7ae2e72f99c3 · outbound

This paper cites Piggyback: Adapting a single network to multiple tasks by learning to mask weights,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Piggyback: Adapting a single network to multiple tasks by learning to mask weights,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.797363Z

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 6a78c139-2616-48e1-ab19-db622591f10c · outbound

This paper cites Lora: Low-rank adaptation of large language models.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Lora: Low-rank adaptation of large language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.784156Z

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 baacf0bf-e404-4385-80ef-7a7f350a18b7 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Distilling the Knowledge in a Neural Network

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:24.546774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 007edd1a-73ac-4fef-9230-b6e68172ef28 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:24.645078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da92d69-bef4-4ab0-bc68-d82858b0e5ab · outbound

This paper cites TinyBERT: Distilling BERT for Natural Language Understanding.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay TinyBERT: Distilling BERT for Natural Language Understanding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:24.707388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df1fdda1-2051-40eb-b0e4-c9b8b9537b87 · outbound

This paper cites Surface Patches with Rounded Corners.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Surface Patches with Rounded Corners

Reference 19

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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 ff531de9-3929-4f45-8393-cbd77c24375e · outbound

This paper cites Localizationdistillationforobjectdetection,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Localizationdistillationforobjectdetection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.771134Z

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 61fe0054-53cb-472b-a5ab-6bfcc14a9e4e · outbound

This paper cites Chemical profiles of the oxides on tantalum in state of the art superconducting circuits.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Chemical profiles of the oxides on tantalum in state of the art superconducting circuits

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:54:27.674978Z

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 eef7f794-b0a5-4d10-bb0e-811e4dca03e1 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay A Survey on Knowledge Distillation of Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:25.223218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f0119f9-1b5e-452f-8954-104c4aa649cd · outbound

This paper cites The Llama 3 Herd of Models.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay The Llama 3 Herd of Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:25.317777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4bf4c91-5963-4e14-bdb2-cc91b2b4714e · outbound

This paper cites Visualizing the loss landscape of neural nets,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Visualizing the loss landscape of neural nets,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.757601Z

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 94811abf-52d1-4a43-bc76-0f780d339cf2 · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay A comprehensive survey of continual learning: Theory, method and application,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.744917Z

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 3a929b2a-efda-4345-bafa-2f24e9a6c531 · outbound

This paper cites Slimpajama: A 627b token cleaned and deduplicated version of redpajama,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Slimpajama: A 627b token cleaned and deduplicated version of redpajama,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.732131Z

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 4c34e90f-2d46-4c4e-845d-b40788dc45e9 · outbound

This paper cites Redpajama: an open dataset for training large language models,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Redpajama: an open dataset for training large language models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.719896Z

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 4d8879a0-3e9c-4024-aa49-dfc99daa7565 · outbound

This paper cites Progressive prompts: Continual learning for lan- guage models,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Progressive prompts: Continual learning for lan- guage models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.708056Z

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 5582fc45-0ec5-4211-83ca-beea9abcb8db · outbound

This paper cites Character-level convolutional networks for text classification,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Character-level convolutional networks for text classification,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.694534Z

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 4fdd26e1-cb8d-41eb-ae5b-59f97883515b · outbound

This paper cites LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:25.973883Z

Source-reported events for the cited work

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Observation f06783cb-bafa-4877-b610-d823d58b0e62 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:26.021190Z

Source-reported events for the cited work

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Observation fe28f298-9435-491f-be1f-79f9513bd361 · outbound

This paper cites Superglue: A stickier benchmark for general-purpose language understanding systems,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Superglue: A stickier benchmark for general-purpose language understanding systems,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.680669Z

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 cf804778-e56f-4f2a-8435-072c306910c1 · outbound

This paper cites Learning word vectors for sentiment analysis,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Learning word vectors for sentiment analysis,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.667400Z

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 c4f0dff0-f02a-4bd9-b9f6-3ebf141efb66 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Measuring Massive Multitask Language Understanding

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f1515c-4ef7-4439-b4ff-5755624734c1 · outbound

This paper cites Rieman- nian walk for incremental learning: Understanding forgetting and intransigence,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Rieman- nian walk for incremental learning: Understanding forgetting and intransigence,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.652075Z

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 0798ddbf-8a42-4238-bd09-80f411bf2df2 · outbound

This paper cites Logit standardization in knowledge distillation,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Logit standardization in knowledge distillation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.636329Z

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 3f8917cb-77d7-4f78-95b2-b74ab483fab2 · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Orthogonal Subspace Learning for Language Model Continual Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:26.646447Z

Source-reported events for the cited work

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Observation 939a4884-5485-42c7-b050-a8317bb60b7a · outbound

This paper cites Transformers: State-of-the-art natural language processing,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Transformers: State-of-the-art natural language processing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.620566Z

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 6505e89e-c570-4686-b98c-80058f7d2470 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Zero: Memory optimizations toward training trillion parameter models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.606206Z

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 65e3ea5f-fb0f-4bfc-8f62-4562e1455faa · outbound

This paper cites Decoupled Weight Decay Regularization.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Decoupled Weight Decay Regularization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:26.944641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20f7bc87-c7a9-4749-ab6c-1aeba422fb72 · outbound

This paper cites LoRA Learns Less and Forgets Less.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay LoRA Learns Less and Forgets Less

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:27.028906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d91c55c-b95b-42e6-9cef-5f8e755e4b95 · outbound

This paper cites Loss of plasticity in deep continual learning,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Loss of plasticity in deep continual learning,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.591348Z

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 aba289c0-9c0c-4653-8fe1-7eeb71be89c7 · outbound

This paper cites Spurious forgetting in continual learning of language models,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Spurious forgetting in continual learning of language models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:54:28.518979Z

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 ab0bd8a1-e975-4d85-bf5d-c0f9ddf1645a · outbound

This paper cites Editing models with task arithmetic,.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Editing models with task arithmetic,

Reference 44

Resolution: malformed identifier; raw_fallback, observed 2026-08-05T23:54:28.256520Z

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.

Pith citing papers

Observation b225c227-d422-4b6f-84aa-b32e2baac9d9 · inbound

Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training cites this paper.

Geometry Conflict: Explaining and Controlling Forgetting in LLM Continual Post-Training GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:37.497057Z

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 fb37a9e9-4231-4a3e-9305-faa28754926a · inbound

On-Policy Replay for Continual Supervised Fine-Tuning cites this paper.

On-Policy Replay for Continual Supervised Fine-Tuning GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T09:13:16.302628Z

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.