Paper Citation Record · LEDGER

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2512.18934.

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

pith.paper-citation-record.v1
2512.18934 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:52:20.978146Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:36:27.389766Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T12:59:52.809074Z

Reference resolution

26 of 26 outbound references displayed

verified exact0
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59c67b02-ca42-435a-9bfd-4b11e4f74ed5 · outbound

This paper cites Post-training 4-bit quantization of convolution networks for rapid-deployment.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Post-training 4-bit quantization of convolution networks for rapid-deployment

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.128097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b741da97-7a17-48f3-800c-b46a46646581 · outbound

This paper cites Experience Grounds Language.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Experience Grounds Language

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.195657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9aeb714c-fb05-4e12-955a-b935da78319e · outbound

This paper cites Ex-Model: Continual Learning from a Stream of Trained Models.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Ex-Model: Continual Learning from a Stream of Trained Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.354739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200d27c9-eeff-42ab-adb2-ae53d2e88182 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models On Tiny Episodic Memories in Continual Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.420000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651af4f7-43d7-4099-a172-8d4d9e1e590c · outbound

This paper cites Evaluating Large Language Models Trained on Code.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Evaluating Large Language Models Trained on Code

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.473060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77776c8a-b75a-4ce5-97f7-57c317815809 · outbound

This paper cites Overcoming forgetting catastrophe in quantization-aware training.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Overcoming forgetting catastrophe in quantization-aware training

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.560273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7a2cac-08c9-4e1d-a527-af98616f0c9f · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.622756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26e4a2bb-7bcc-411a-a1a5-273f9b81df4c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Training Verifiers to Solve Math Word Problems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.684996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14e0117f-6c35-4359-a242-a7646836cf89 · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.745055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f61e057b-ad46-4ba0-92f0-230c6f43287b · outbound

This paper cites 8-bit Optimizers via Block-wise Quantization.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models 8-bit Optimizers via Block-wise Quantization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.865798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 419839c0-5292-4ba6-826a-172bccbb3f19 · outbound

This paper cites GFlowNet-EM for learning compositional latent variable models.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models GFlowNet-EM for learning compositional latent variable models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.945390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddf067c8-4ff3-463c-b47c-01cb6f3dccd3 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:19.997623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8075e9ef-40bb-4055-9e95-ddbaac3ab9f7 · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.058797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4978a2e6-4819-4667-9c40-590e26f86048 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Overcoming catastrophic forgetting in neural networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.116377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc8acdc0-b001-485f-8c4d-72213b2bba8f · outbound

This paper cites Learning without Forgetting.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Learning without Forgetting

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.172508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9545f3d2-f0c5-4be3-b776-e0729130c1cc · outbound

This paper cites A Structured Self-attentive Sentence Embedding.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models A Structured Self-attentive Sentence Embedding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.223881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4374c4b-c987-44eb-ac72-a7c864889dc1 · outbound

This paper cites Gradient Episodic Memory for Continual Learning.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Gradient Episodic Memory for Continual Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.268370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b962a08-632d-407b-b32b-47711dcd898e · outbound

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

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.319003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d77d7d-87b5-43b4-8938-479949cd4a24 · outbound

This paper cites Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.376800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbab376-0db1-4880-8dd8-f7b0df148272 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.497986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acdebb15-a577-4064-bbf7-35ce70bb709a · outbound

This paper cites iCaRL: Incremental Classifier and Representation Learning.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models iCaRL: Incremental Classifier and Representation Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.589314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc272b12-1569-4d04-a75b-dbec69fbab4f · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.652223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 788744fc-b16c-4115-b805-35d56fad9ee3 · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models SocialIQA: Commonsense Reasoning about Social Interactions

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.746473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ba31c96-c618-47ac-bdd2-875181b14ba0 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.812688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076f7d42-6fad-4413-a4b0-f861bceffed6 · outbound

This paper cites Continual Learning Through Synaptic Intelligence.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models Continual Learning Through Synaptic Intelligence

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.913287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2ee2a6-09cc-499d-95e1-3f1a7c59771b · outbound

This paper cites LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T14:52:20.978146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 5752d74c-4814-4823-a2cb-01b0d5dcad2c · inbound

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems cites this paper.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:17:26.518557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db0373e1-1d38-4ba7-afcd-b510f6838c8e · inbound

What Survives When You Compress a Recursive Reasoner for the Edge? cites this paper.

What Survives When You Compress a Recursive Reasoner for the Edge? When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T12:59:52.810512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.