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Paper Citation Record · LEDGER

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2506.05413.

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

pith.paper-citation-record.v1
2506.05413 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:33.773060Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved12
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3711fd31-1750-4d3c-a164-96cfda25c2dc · outbound

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

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 1

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Observation a43f8139-18c5-45b7-b68c-a0310fa7b82e · outbound

This paper cites The Llama 3 Herd of Models.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs The Llama 3 Herd of Models

Reference 2

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Observation 414637e3-69e7-4a80-a177-008cffa41b65 · outbound

This paper cites Mistral 7B.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Mistral 7B

Reference 3

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Observation 0dd43dcf-6ba3-4590-9627-1f14cf718cee · outbound

This paper cites Training Experimen- tal Language Models with Low Resources, for the Hungarian Language,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Training Experimen- tal Language Models with Low Resources, for the Hungarian Language,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e42e9059-5993-418e-b343-be9a7a8d1a32 · outbound

This paper cites Model Compression and Efficient Inference for Large Language Models: A Survey.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Model Compression and Efficient Inference for Large Language Models: A Survey

Reference 5

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Observation be38ee2a-e143-4047-b1bf-c4277ec84c3e · outbound

This paper cites Quantization and training of neural networks for efficient integer- arithmetic-only inference,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Quantization and training of neural networks for efficient integer- arithmetic-only inference,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ee3559d1-ce41-420d-b6ed-f851cb18331f · outbound

This paper cites SqueezeLLM: Dense-and-Sparse Quantization,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs SqueezeLLM: Dense-and-Sparse Quantization,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 26884800-d57a-44f4-8d36-fe314c04bd6e · outbound

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

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks,

Reference 8

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0371c5e7-b3d1-4b98-87b3-f2179fc6c7c3 · outbound

This paper cites Addressing activation outliers in llms: A systematic review of post- training quantization techniques,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Addressing activation outliers in llms: A systematic review of post- training quantization techniques,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:47:33.645107Z digest=sha256:32bfd9c2cbf7db53d0e811da93b5a984e3587e24bc3b9e2da89411cbb540b767

Observation d43a0c52-f973-4a2b-891b-e4c2b87cd890 · outbound

This paper cites Turning llm ac- tivations quantization-friendly,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Turning llm ac- tivations quantization-friendly,

Reference 10

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source=pdf_text observed=2026-08-07T10:47:33.649415Z digest=sha256:a63f8a5e3f337aab93dcfdc5b6d8ade8ea659370160e3ee56ff6b51698d5ac69

Observation 94982290-7e77-439b-b08c-9b0c0873c55c · outbound

This paper cites SmoothQuant: Accurate and Efficient Post- Training Quantization for Large Language Models,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs SmoothQuant: Accurate and Efficient Post- Training Quantization for Large Language Models,

Reference 11

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 836b611d-b2da-4b29-ac8c-7477d7908bd8 · outbound

This paper cites QuaRot: Outlier-free 4-bit inference in rotated LLMs,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs QuaRot: Outlier-free 4-bit inference in rotated LLMs,

Reference 12

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:47:33.658834Z digest=sha256:64df5e5e2359ec4a292b002ea821dc5bf67aa81b29480b9613cb529948a3a6c1

Observation a20125b3-1f35-446b-be2a-b150e82eb6d6 · outbound

This paper cites OPTQ: Accurate quantization for generative pre- trained transformers,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs OPTQ: Accurate quantization for generative pre- trained transformers,

Reference 13

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation e24a6ae8-c08b-43ce-b5f8-eb4f9c635ddf · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs SpinQuant: LLM quantization with learned rotations

Reference 14

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 80b4b670-a9c4-4dcd-87e7-d2cb3ebe1ca0 · outbound

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

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale,

Reference 15

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c2e6a393-3410-40fd-81b1-3d2c22a148d1 · outbound

This paper cites Massive Activations in Large Language Models.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Massive Activations in Large Language Models

Reference 16

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a85602cd-bdb7-415d-9496-020474b04db5 · outbound

This paper cites Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs

Reference 17

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Observation 20d59e83-e6ab-4eaf-9d29-6d51fb6dc8e4 · outbound

This paper cites Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization

Reference 18

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Observation 9b4a16a2-bb2b-4aef-91ef-144e620cb39f · outbound

This paper cites FlatQuant: Flatness Matters for LLM Quantization.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs FlatQuant: Flatness Matters for LLM Quantization

Reference 19

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source=pdf_text observed=2026-08-07T10:47:33.692846Z digest=sha256:67757bdc0425465b45f4785e74945cfc8e0d6da189e4cde0c9b31ae4924ba60c

Observation e4069e58-d1c7-492c-a642-32ffe780ab13 · outbound

This paper cites AffineQuant: Affine Transformation Quantization for Large Lan- guage Models,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs AffineQuant: Affine Transformation Quantization for Large Lan- guage Models,

Reference 20

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 97050a19-f7a0-47e7-9682-21c1436ae123 · outbound

This paper cites DuQuant: Distribut- ing Outliers via Dual Transformation Makes Stronger Quantized LLMs.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs DuQuant: Distribut- ing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Reference 21

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2780709a-a974-4e3e-9d19-3ba357e2a420 · outbound

This paper cites DFRot: Achieving Outlier- Free and Massive Activation-Free for Rotated LLMs with Refined Rotation.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs DFRot: Achieving Outlier- Free and Massive Activation-Free for Rotated LLMs with Refined Rotation

Reference 22

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raw_fallback, observed 2026-08-07T10:47:35.065235Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 61626c88-0555-4152-a6f3-d71b5bfa242c · outbound

This paper cites Pointer Sentinel Mixture Models,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Pointer Sentinel Mixture Models,

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fb2f3070-56e9-42f7-af30-f6110adf1d41 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to- text transformer,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Exploring the limits of transfer learning with a unified text-to- text transformer,

Reference 24

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:47:33.731538Z digest=sha256:13fdba8b49c72fb655963d53478ff1886cd6ebb892e5f806f1cff79a414d6c9b

Observation a4f50506-167b-414a-b44a-fcd27fe3c034 · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs PIQA: Reasoning about Physical Commonsense in Natural Language,

Reference 25

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Unavailable: canonical work link unavailable.

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Observation c5438570-d95a-4f8d-ba62-d1f4c36b7712 · outbound

This paper cites WinoGrande: An adversarial winograd schema challenge at scale,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs WinoGrande: An adversarial winograd schema challenge at scale,

Reference 26

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source=pdf_text observed=2026-08-07T10:47:33.744276Z digest=sha256:71dce20fa7769dd3f4b6629f7d3c085d6643e4dd8a09f3e4ad6c5270e1bc2db2

Observation 48cc9bc2-a688-480c-9aa4-c06cbbf30cca · outbound

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

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 27

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no resolver link, observed 2026-08-07T10:47:33.750482Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:33.750482Z digest=sha256:da7ee163c094d541138e07b664a373f755a2ec5ea36d85cada7a487327d08d55

Observation d3d3c568-3846-4a32-a3d9-0a833bb9cbb0 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs The LAMBADA dataset: Word prediction requiring a broad discourse context,

Reference 28

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source=pdf_text observed=2026-08-07T10:47:33.757129Z digest=sha256:91051c5ef11762ce560e77c2abc8e0c68da58ed542f8b4946171682d49c22117

Observation 6133b2d0-3d79-4f2c-b420-8d20fbf5404b · outbound

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

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 29

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raw_fallback, observed 2026-08-07T10:47:34.549506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c06c3a33-1e8f-4164-b9b2-789e42843b21 · outbound

This paper cites an unresolved cited work.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:33.768773Z digest=sha256:05248a47db5be7f229b4736c57a2672e0efc1f5c3b298c2943ed993fabbb5d15

Observation 7c369d37-7d66-4de0-a0f0-fb5427bbfad8 · outbound

This paper cites Building a Large Annotated Corpus of English: The Penn Treebank,.

SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Building a Large Annotated Corpus of English: The Penn Treebank,

Reference 31

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raw_fallback, observed 2026-08-07T10:47:34.405072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.