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Paper Citation Record · LEDGER

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

As of 21 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 8 inbound Pith citation observations for arXiv:2412.00648.

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

pith.paper-citation-record.v1
2412.00648 v4

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:20:24.134522Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:09:58.007686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:12:34.677353Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved59
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87d2ed52-954b-4430-a79f-bb9254e28af8 · outbound

This paper cites GPT-4 Technical Report.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9c38ad3c-f056-4f41-8ad7-fe75e94a7032 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-12T05:20:25.367301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:23.970849Z digest=sha256:c23196455e26515580cb36425ee168836c96f3fa0dd3e5469afb4af3733d109f

Observation 37e46242-4037-49fb-8259-dc0845d5ce48 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.134522Z digest=sha256:dd9732d4628ab222e8f393ccbbc8833d5e2959d7bf25f3c88f90ecaaac1907b2

Observation 0e271adf-a7da-4c9b-bce4-bc1b88e59730 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.838557Z digest=sha256:2a6816544d7ed93ee16f39417ebae05f32de6028800cc1ee5dba17c810e2dcfa

Observation ff9c2263-97e9-413b-bc67-5f991f17b4c8 · outbound

This paper cites Mistral 7B.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Mistral 7B

Reference 9

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no resolver link, observed 2026-08-12T05:20:23.859902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.859902Z digest=sha256:d0183907f9f40ac34215027b557431b30964eee53b62d7d349300c27c37f8b12

Observation 07c8fcb6-d241-4ea8-9def-9d18c1addad0 · outbound

This paper cites AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation AIstorian lets AI be a historian: A KG-powered multi-agent system for accurate biography generation

Reference 10

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation d9ce7f78-ab70-4a05-81b8-66f7a3f53725 · outbound

This paper cites Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.870529Z digest=sha256:032ed3e35249e61d463bdbde8a4f37f8ad2be1757bef81709241d5e25db6d0f9

Observation e8beff60-b1a0-47d8-a75e-90b09fa00c2e · outbound

This paper cites QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

Reference 12

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Source-reported events for the cited work

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Observation d92626cb-87c8-4a9b-82aa-2637b5baaff3 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-12T05:20:25.304169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 9c782a1d-aff5-43c8-8642-c05bf7afe2cb · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation SocialIQA: Commonsense Reasoning about Social Interactions

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.890657Z digest=sha256:aa0a415c95e04dcc83ddb8b6153c6540199c1a79dde484dab4d63fa259040064

Observation ca895c0c-a4a6-4055-93b8-989aaebc2f1f · outbound

This paper cites OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 16

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Observation 99fdcb51-0b0b-4fd4-a04a-5cb8a1238b9b · outbound

This paper cites Massive Activations in Large Language Models.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Massive Activations in Large Language Models

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.900797Z digest=sha256:79652dd1539850988a0d0af2f2541e592efc4ad4838eb711abf08ccbf77e9f24

Observation 0a65a549-f654-4b35-ae17-6a9c4a45075a · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Gemini: A Family of Highly Capable Multimodal Models

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 67fd52ca-0647-4713-ae51-79207b7d5074 · outbound

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

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 19

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no resolver link, observed 2026-08-12T05:20:23.911493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.911493Z digest=sha256:973855f90fd2d6c9ae9171eb7b54f32f119b302b7dacd9ec6a5cc8f311149ac8

Observation be99e24f-3f5e-45d4-a5c0-0b4fa7646747 · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 20

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no resolver link, observed 2026-08-12T05:20:23.916899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.916899Z digest=sha256:dca8f29a4963e53843cfcecdcd0a8ceed3c418f1a0a494698ad49df5903a3f03

Observation ff7bcc5f-c6ee-47bd-a434-197d3b6edc8b · outbound

This paper cites LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation

Reference 21

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no resolver link, observed 2026-08-12T05:20:23.921636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.921636Z digest=sha256:6ab8dd2e1c7d31e6b47fc4079d73350fcaa97bf0dcff07a57acb3fba217e9603

Observation 40a39b87-ed8f-4839-9245-1604fd605d0d · outbound

This paper cites MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 81351a61-5228-419c-8bac-6631daa554c2 · outbound

This paper cites Struc- tured optimal brain pruning for large language models.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Struc- tured optimal brain pruning for large language models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bd7249e2-90cd-4f89-b4ac-be228cefbd4c · outbound

This paper cites Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.935806Z digest=sha256:7a4baaade374e4dad5a1a0f1b971a563de6976beffe50542476b2eaa195dc611

Observation 414ad8f7-ccd2-4e8d-94ed-6a976d2a46d0 · outbound

This paper cites A Survey on Large Language Models for Recommendation.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation A Survey on Large Language Models for Recommendation

Reference 25

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Observation be7c5133-382e-4f7a-a35f-15586cde6ef4 · outbound

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

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 27

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source=pdf_text observed=2026-08-12T05:20:23.951304Z digest=sha256:1083d3342318efb63907f2773a600d01b81601ebc26bb535e4c1b16bf1f8023c

Observation 60049c55-a453-488d-abc2-35b54148afa4 · outbound

This paper cites GLM-130B: An Open Bilingual Pre-trained Model.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation GLM-130B: An Open Bilingual Pre-trained Model

Reference 28

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Observation 27167c75-c01d-4d21-8d73-2964c3c4e91a · outbound

This paper cites QQQ: Quality Quattuor-Bit Quantization for Large Language Models.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation QQQ: Quality Quattuor-Bit Quantization for Large Language Models

Reference 29

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Observation 5bc9f77d-8011-4cd5-96df-58f8af53accb · outbound

This paper cites Therefore, the process of optimizing the rotation matrix can be seen as an optimization of the distri- bution patterns of outliers and massive activations.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Therefore, the process of optimizing the rotation matrix can be seen as an optimization of the distri- bution patterns of outliers and massive activations

Reference 30

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b2d1df5d-26a8-4b4e-9a1b-dc60aa8f9ec5 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6a798a2f-da35-41d6-86dc-915499f77c5f · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0c67fd4b-526b-4158-a8c4-b9cdaf8617be · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 2b554ffd-3b17-4e43-bc2e-e8444b7274c6 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 36

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cbebcacd-6a5f-4c77-8473-16a5098c6210 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 37

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ed48ad76-f948-43bc-ad97-9b7319de21f5 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 38

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 5bdebf90-5fb2-410d-ba34-b48202eaea88 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 39

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a4c434cf-c09a-486d-b98e-fdd922dc184a · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 40

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 53065ba1-de63-4b66-a75f-e0c350b613b7 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 41

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation e9f014c2-d402-4705-99b0-d69f904f8dd9 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b30520d3-8879-4643-8f34-063341c34610 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 43

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unresolved
raw_fallback, observed 2026-08-12T05:20:25.172066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.029015Z digest=sha256:d7e896b9366081b908283d33b5bb392b767e0861adbc6f371b2a1252ca860158

Observation bac87c35-6042-44be-a027-638a7a12ec8c · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.155956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.033647Z digest=sha256:b590c753042acca260cd063067b82b0b88457a8c77c51a1a1ba7c63d707d83cf

Observation 7f95ca75-b36f-4b35-93a7-8116f47f2c23 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.140295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.038634Z digest=sha256:7c6f4f98e0f8aca98e606b02e260c055d94132231d011e2772000703966d9518

Observation 5e9bdaed-cf82-465d-bb44-8eadbe1a5472 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.123951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.044497Z digest=sha256:d92d39fb8ed5d6d172c34a57355f89673cc92da71ee7f4feb2f18d8c91679115

Observation 8ffeebc2-6599-43cd-9d14-3453353cc731 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.107784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.049658Z digest=sha256:f372e6d03145a1a34ba595c0a9a652deae0275aa0fd09d03d7478ba5d21c8030

Observation 6f538948-de5f-4b84-a8cd-31813ce8be3e · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.092159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.054381Z digest=sha256:768d6de64298ae8fea2bfc158feb55e2cd2773d107665d014f28fd1634758561

Observation 6a8ab4d5-ae2a-44de-9288-25edf06148c3 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.074967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.059202Z digest=sha256:41c4ca6b8eef9a927e6d7c700d0ca5cd581e4c7f248380d34cceec14bd24a049

Observation c47977c2-56fc-4659-a06a-d9f16dca1a3c · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.058520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.063784Z digest=sha256:bcbfff2a92cc9adcf4ec398254460baa24df6eb86b342edaab67719294ec763b

Observation 4bd19a06-5c32-4376-aeb8-df0f8403f31c · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.042365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.068678Z digest=sha256:c77990f5d33184d075bd1880035b8a76ac3f50a6dca96493915f13afb51b85dc

Observation aaaad52e-25fb-4132-9100-9801d0d6c1b1 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.026278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.073088Z digest=sha256:7e88cc0c6bfbaefa0514dc2cce4bdaa5d3fbf5386cbaa4d9e3222faf87259c4f

Observation beaeebbd-d824-4968-9816-270673a2997a · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:25.009143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.077952Z digest=sha256:8da974b21487f23ed97c9a21e8e0c7f09397c9256a87ac10d79e9d133fd27889

Observation 98845823-0643-43ac-a15f-7cfa845074e7 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.993174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.082658Z digest=sha256:66b6e5901ab79b69514753ba16cfe2e4a225a596b1c76f1dd9d8d2be98afed70

Observation 82670d26-d09e-446b-9320-9f9edee7609e · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.977060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.087314Z digest=sha256:a55477798a8f422f612db5209e5c6f87b791c5899d2c7f1d9530ca0bcda22a0f

Observation c3273e23-68ef-4f70-8982-03118b27b13d · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.960895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.091844Z digest=sha256:217b37e83c2295bc05c42aa383ed2a6351cd46d705ecd89d7ac8fbab44294910

Observation 5100a7a6-b2ac-4b0b-b9f1-b15dc6892c90 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.944599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.096987Z digest=sha256:d90a475b42f06cba0ae52198621eb0b1d690469ac2d9fd14af068296cb66ed10

Observation 53b279bd-3d30-4fb8-99b9-f5f7771ccc96 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.928037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.101810Z digest=sha256:46fc03c0466979f2eedc07589580abf671d6ffb6a1990309e4271336e58b6972

Observation b138eb7f-da4b-42a9-80eb-3ea3865f89f4 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.912692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.106709Z digest=sha256:a1b2c1b000450a69f90c216510243a6f6d0ce2d3f10a850d8df053dfffe6685b

Observation a0d13bd4-ec7b-4063-adc3-9e03c83c18f2 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.895596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.111357Z digest=sha256:d19eaa0ad58c6496992e5e125abc24d3acf603db62ebb47c6e3e6824abf9f4eb

Observation 175f4ec3-f594-44a0-8d73-434a64da8193 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.877016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.115841Z digest=sha256:4c6a9a4a926f86600b64a0dc6a8eba352ea837591149e329790e7ae929028816

Observation 14fcc8a3-e027-4137-a34f-19ed233d66b9 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 62

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T05:20:24.859998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.120593Z digest=sha256:e37c14f3833a395bc8f361a0b5bd5943728c328d9b64e6cdf0237937cc97ad61

Observation 17c8c0bf-18c5-4c33-8773-00633032e1d9 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.843798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.125195Z digest=sha256:fb6bab4908a3542ac563d4960fd078b6aed5e53253bc6e86641501e423740e91

Observation 1f9314cf-cc0d-4344-a484-dc9820d9ab97 · outbound

This paper cites an unresolved cited work.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:20:24.827590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T05:20:24.129726Z digest=sha256:d5c76c8009425ee0dd3ad7d586c4c9aa15965ac920e3867147fbad32392808e0

Observation c2348960-9bec-4e0c-9962-02f0d0cd80c5 · outbound

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

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.880896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.880896Z digest=sha256:4cd81389d4853fa22cd5b28b72fed579f2d44605e8d5ff57f111c20e608910f2

Observation bcfb2be9-79db-4a3c-83e4-0417d65be725 · outbound

This paper cites Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithm

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.885781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.885781Z digest=sha256:a0ce3be37e39b52fe6f108399ce1db2c8d9234829671ab0ad3ea84dbe1cd71c7

Observation 3e02195c-9f61-48a2-9a7a-98882f7d835e · outbound

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

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.832953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.832953Z digest=sha256:861e6938f6dc025e85e7fe8de62c2f36a50b59b11e6ea416e070f72b6f3ce1e2

Observation 5fe2956b-78de-4d3e-ba8c-ce8102e30ea0 · outbound

This paper cites OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.849109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.849109Z digest=sha256:4280f94f8acda9da1628019f3f61ffb3bd023e3f8de60e115c1b0b77c9148f91

Observation 409d4240-11c4-4b95-81de-f4b9cf9a3e86 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.827033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.827033Z digest=sha256:da8e3829c509ed95369c4b7602cdbda84cee0350e08ca1abd7c267396c94cae3

Observation e07d6945-d9e9-4bc6-aabd-76e7caa6599b · outbound

This paper cites The Super Weight in Large Language Models.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation The Super Weight in Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.945523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.945523Z digest=sha256:e3dc0cbbb1d49c321e375ac4ea286094018963bad594ee07ad79c0442ba7e455

Observation 6219e964-8939-4592-b4bc-557f7946a0a1 · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.820926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.820926Z digest=sha256:7669eae7b6db066373bb6cdb13ecfb12a6e795bb59aaf739f03a3089b2323058

Observation 2b536cb2-059b-4d03-8c07-b593fca9bb4f · outbound

This paper cites Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.843930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.843930Z digest=sha256:3a42a9ec989665168b101586f4912d7e1728b85f9d44756a26cc16a6d1de0666

Observation 33dd625c-c675-4d22-8cea-4a9d2ed5b8e8 · outbound

This paper cites An empirical study of LLaMA3 quantization: from LLMs to MLLMs.

DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation An empirical study of LLaMA3 quantization: from LLMs to MLLMs

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:23.854592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:20:23.854592Z digest=sha256:6816934179129f53b696aaae9aae6c848c23be6a9b6a6ffd2471684e1da98c4e

Pith citing papers

Observation 1aa0b935-c05e-4665-934a-2705a729ef38 · inbound

Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs cites this paper.

Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T12:09:58.007686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:09:58.007686Z digest=sha256:ba2b48c02bc470c93c7adef620fd17ea1eefdac83c7dcd6a91df8eaab2bcb67f

Observation a7d650a4-b88b-404b-a4c5-4a0b6927af7c · inbound

Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free cites this paper.

Grouped Sequency-arranged Rotation: Optimizing Rotation Transformation for Quantization for Free DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:59.691621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:30:59.691621Z digest=sha256:ecef4f84a59b2bc24b120656d3dda6094a5f3fdf437280e38aeba77f6623a572

Observation 0d8484e6-b9c9-4ce2-932d-e46319f56aca · inbound

CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking cites this paper.

CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T17:18:29.376318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:18:29.376318Z digest=sha256:8c1a088a36707c31cb01564058a8cafaaebdddf8dfe259ad402ca19ea9166bfa

Observation 7686dba2-4713-4a4f-8bf8-dba1088a9da0 · inbound

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models cites this paper.

WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:08:18.033006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T21:05:09.254086Z digest=sha256:d4f0cd1090a37793f7e24e0e78452a56dbf5a9ab5248a4d850baac6962ba0112

Observation 71974fd5-1c4b-4674-9917-6ff7e012c629 · inbound

RUQuant: Towards Refining Uniform Quantization for Large Language Models cites this paper.

RUQuant: Towards Refining Uniform Quantization for Large Language Models DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-13T17:38:02.573009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T17:36:53.861234Z digest=sha256:f01c5ced19793316e4fa648f2ae155956f30ac876f9bfdc82c56f4a6a6f14635

Observation bbd1690b-cc52-49bb-b6de-1de689ced02a · inbound

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models cites this paper.

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:12:34.678800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T19:09:29.347284Z digest=sha256:884edbb536ed08a361b81e047a179d4cbd7c49b2d0226ed951d5e36ff4085c0a

Observation c428cdc6-ce26-4165-8726-dc07096fdada · inbound

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference cites this paper.

GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-01T03:16:46.936212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:16:46.936212Z digest=sha256:d3360e6512529fdb03e7c0d94617c422bec5f0fade4cfe15041e64ac87d87080

Observation f2ac31c7-b9b6-4941-81e4-01e48c264604 · inbound

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation cites this paper.

When Local Variance Optimality Is Not Enough: RoPE-Aligned Q/K Rotations for Dynamic 4-Bit Quantisation DFRot: Achieving Outlier-Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-14T12:54:26.627771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:54:26.627771Z digest=sha256:3f5e615d340a4e4eef66ad52d7a18ae97de06ab7ae7b37f499a0f4fdbffecd75