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Paper Citation Record · LEDGER

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.03803.

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

pith.paper-citation-record.v1
2505.03803 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:34:46.147630Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T05:20:45.264341Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:23:03.637470Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 610e7c95-174a-49a6-b754-eb9fb4671669 · outbound

This paper cites write newline.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:45.986010Z digest=sha256:3376d9d82f17a2895a6a5eee367c29921e767a9f139ebd3b4e5072464ab6ec0e

Observation 75763d5d-6e8c-4987-ab89-d703fd6a0c08 · outbound

This paper cites OpenReview, 2024.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization OpenReview, 2024

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.691335Z

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.

source=arxiv_source observed=2026-08-16T04:34:45.991016Z digest=sha256:9388a692c8c30f21bd802114116f1bec4f04441ac576bd4d075f3cfc73b79658

Observation ba78a03c-424f-4036-9baf-06a72d75a9bf · outbound

This paper cites Coefficient of variation.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Coefficient of variation

Reference 3

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source=arxiv_source observed=2026-08-16T04:34:45.997600Z digest=sha256:537a7a8d8564047caf683ada0e9d1d60fe1003e528d539c600978a42abbe24f0

Observation 92e33c50-d70a-4ee5-8a42-9665e484b134 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 4

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source=arxiv_source observed=2026-08-16T04:34:46.000976Z digest=sha256:b5b631c63cc6aca701c696ab3f4e5cf34fb7567ed6ec63b282b12c185bb087b8

Observation 3172cbb8-1772-4f62-864a-4021419789a1 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Piqa: Reasoning about physical commonsense in natural language

Reference 5

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source=arxiv_source observed=2026-08-16T04:34:46.004600Z digest=sha256:1131c79ec25a29f9153b0ce8a4714f79cc4ded1e2a6e0beefc408def0eda2308

Observation c2a1e1f6-b70e-4dc7-9c0e-d401a73abad7 · outbound

This paper cites Blinkdl/rwkv-lm: 0.01, August 2021.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Blinkdl/rwkv-lm: 0.01, August 2021

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.008988Z digest=sha256:7d38d43849e7dbf836651b610a91eef14734e18f0407e8d2db0ad8796940e864

Observation 8702bbe4-ba1c-4750-9e64-3da48c8aa069 · outbound

This paper cites A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.012505Z digest=sha256:3f196b0a1e91a732a3c677820f2c2b5b94fa3e0c0e3e84917588881fce23f163

Observation 18753520-ee1f-4388-b254-62cd9bee1579 · outbound

This paper cites OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.016477Z digest=sha256:837a86af96e90b4f0924aee3090c2e2d353b6d1a47a1534178fb676d56ab8d24

Observation 0b69fabc-8b32-42c5-a447-2728020766f9 · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 9

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-16T04:34:46.020168Z digest=sha256:0dc4b510a36faa41ab3d0e81dfa57b8996f2cc6a72ea22f1594afa8ccad46a5e

Observation fc94d7ae-9af5-4941-ad38-5243412198d5 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Imagenet: A large-scale hierarchical image database

Reference 10

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no resolver link, observed 2026-08-16T04:34:46.023316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.023316Z digest=sha256:fc1dad03e87b52fdeadc98b812164677d8c0bc83a3a008d5aa5c636a4067ba45

Observation fe215ccb-8834-4c8b-bb4b-c6892b195437 · outbound

This paper cites Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.027423Z digest=sha256:e2a330283992f9b4e0ad250483d55671dbc677701a434ba655745aad8ae50579

Observation 767af566-9c13-4fe4-8534-2e365aa2f9b2 · outbound

This paper cites Extreme Compression of Large Language Models via Additive Quantization.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Extreme Compression of Large Language Models via Additive Quantization

Reference 12

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.030725Z digest=sha256:0171c1b673b2cd683384497644718c18ec55f502aedf93f40e07109ca5b2403d

Observation 3b47ab08-143e-4823-a75f-516bb6ede0a0 · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 13

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no resolver link, observed 2026-08-16T04:34:46.034563Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.034563Z digest=sha256:200819c45b03f468207dc64cf320855893ea43869915be8c0ec1532c68e92b72

Observation c6338424-f614-451e-b16d-73d3a4bb9e26 · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.038165Z digest=sha256:094e19320b0b0279eb5fd4fb63a244b62598155d36568b7e93e2264d363e7502

Observation 74a0a653-4dce-4c4b-b37e-6f3ed3bd51c4 · outbound

This paper cites Asymptotically optimal block quantization.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Asymptotically optimal block quantization

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.636348Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.041643Z digest=sha256:6fea2182968fe67c6ebe9f1aa206b415a972c941974d6a73fdf7dfac40941ed3

Observation 2f3cc300-41e9-4262-bb52-1bb35570174b · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.044988Z digest=sha256:eb020b25cf316bd87f0a757c9b3e1d2d54fa98fd922aaffbec82b6c4265aed40

Observation c7d5651a-e28c-440f-a8eb-9591b4b43177 · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.048321Z digest=sha256:ea0943f225b8cc95025e8b7abec0cffff2cf471a11a63b07b92a6b4e4d050f55

Observation 3e0e8a72-9ded-43e1-b1c2-70b141ced5e5 · outbound

This paper cites and Koshizuka, T.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization and Koshizuka, T

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.617000Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.051205Z digest=sha256:da4e681b73524eeb1ca7cc5546eec04a722bcf21b9eb3d911bbfd40ac29d47c7

Observation f06bcfa7-666b-41bc-835b-4222a83eb313 · outbound

This paper cites Crafting papers on machine learning.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Crafting papers on machine learning

Reference 19

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source=arxiv_source observed=2026-08-16T04:34:46.054726Z digest=sha256:9a43d482529574c587d19b47ef46099855f7b392bef24c652f054416f7b52894

Observation e7bc5645-4543-4a93-88d8-5f15aadd174b · outbound

This paper cites Infofusion.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Infofusion

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.599482Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.058306Z digest=sha256:ddfdf632f24bacadc799e26fab1755022fffb9ea74c78d60ba25dd4f1d5fbe80

Observation 4954085e-3e40-48e3-9adf-d7eed0c63aec · outbound

This paper cites A Survey of RWKV.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization A Survey of RWKV

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.061299Z digest=sha256:95dcfeea5ef8f9393a40cc6e9f4043c58fd82a3105ec0c7dee8e1eb852ae023a

Observation ab1f63bf-79a2-43f8-af20-20892babb3ac · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.064568Z digest=sha256:1cd7d3c98e32a77c461516f86db2e51e78bd87193c990e219b4718de2d006627

Observation a6052240-2a1b-4fdc-81e7-bc50bdd62201 · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 23

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.068038Z digest=sha256:6b7693d4e69d0ef4a8ce3bbeb4565a990e3b3ae37141e37113cb9cf6c1c4caed

Observation 2603e1e5-043e-48ec-8e85-46e90bb77492 · outbound

This paper cites VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.070893Z digest=sha256:921e07cfcbf13c52db24948bba4ad15b5ce708173f380e0ce416c6e1a8d72e29

Observation 71922e44-34cc-4340-880d-7fb6e65704b7 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization SpinQuant: LLM quantization with learned rotations

Reference 25

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source=arxiv_source observed=2026-08-16T04:34:46.073967Z digest=sha256:79bf72099b3ad11dfc0e2dae34431f008222a340852e5621a3c6900ee8f38de3

Observation 2573fc5b-2e54-4ac1-a5db-96edd74da171 · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-16T04:34:46.581994Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.077123Z digest=sha256:1d09161b5c056f9438faa8eae9e3405e03b800f69a6b50db7746ba2fa4cd141b

Observation 6d03de6f-7fb0-4beb-b0bd-196b861454b7 · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 27

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source=arxiv_source observed=2026-08-16T04:34:46.080496Z digest=sha256:98e291d57e6c1a0cb66222d175c34d824d6abe4965d2dacc45fe367b0c408fae

Observation 6fa52e82-0107-4ec9-8352-a1017b5c1493 · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 28

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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.

source=arxiv_source observed=2026-08-16T04:34:46.083849Z digest=sha256:e4b63dd41197a9b2c3c17f906395a36f00bdb386ac4084371677ddd2c59f77f8

Observation 2012ea0a-969f-4229-938a-476990cfbc03 · outbound

This paper cites Chatrwkv-in-wechat-version-1.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Chatrwkv-in-wechat-version-1

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.561551Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.087021Z digest=sha256:865a45ac60f24b6f7916e1e96167443c39afd46355d0af2083e33f35b3a9fedb

Observation 8a104c17-8e5d-47d2-b0d9-ec0828bfba24 · outbound

This paper cites Sciq: an invitation and recommendations to combine science and inuit qaujimajatuqangit for meaningful engagement of inuit communities in research.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Sciq: an invitation and recommendations to combine science and inuit qaujimajatuqangit for meaningful engagement of inuit communities in research

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.551504Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.090333Z digest=sha256:e2922971d3a196e2d7d87f28a8f13e9944eee860b4c9c7ffb0352fafffa0518b

Observation 09d3a755-536a-4f0e-b145-6b87560417ee · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization RWKV: Reinventing RNNs for the Transformer Era

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.093732Z digest=sha256:00631571b2c35846400a4008049fc48ca7bf253aad46efc8760b0da6b3dce369

Observation e585e496-85d3-4f46-a005-ce7512fb03cd · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 32

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no resolver link, observed 2026-08-16T04:34:46.097137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.097137Z digest=sha256:4b43637454f494614448c1f2c2e2c9c2275eb2a6bc23c208704d29d097874551

Observation efdeb5c3-dad6-47f7-9431-5dc8331af1ef · outbound

This paper cites Language models are unsupervised multitask learners.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Language models are unsupervised multitask learners

Reference 33

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source=arxiv_source observed=2026-08-16T04:34:46.100565Z digest=sha256:40d7758731551efd76169e60bd7bf4af1f60689ec641f0e62f280295cb2bceb9

Observation 6738b9f8-f2e3-4e64-afc1-c7cfcf5f42e5 · outbound

This paper cites Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Qa dataset explosion: A taxonomy of nlp resources for question answering and reading comprehension

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.533832Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.103769Z digest=sha256:44837f298022ab5cb041c1c3d18f76cf63353d35c31319ea25f5d8894a5ed26c

Observation e832f857-450f-42f6-b718-8a9e35c9fa01 · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization L., Bhagavatula, C., and Choi, Y

Reference 35

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unresolved
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.107296Z digest=sha256:4192549ee78a0538a701867b9de65b770ed3c9a24c958b9083be027d555dc111

Observation 5975f53a-01ea-44d8-8ac4-b4e0730e701d · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 36

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unresolved
no resolver link, observed 2026-08-16T04:34:46.110458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.110458Z digest=sha256:dcda4ab5b53716144a8b0bfce7786eea1341170f687e5ae09ea6baed6f9f0940

Observation bef3d0e2-745e-4d8e-82af-de4d841a58ae · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:46.113597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.113597Z digest=sha256:c7199f7413fd7e684cc1f5f995a77b46cfd38b99b8d38f449984954abae605ba

Observation bc9d8470-e96f-4246-9847-9ec605a09378 · outbound

This paper cites an unresolved cited work.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:34:46.509281Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.117080Z digest=sha256:a01d224ffdc95a8ecead3c4ca958da7114fa8b802ce5655dc65409c9cd946a03

Observation 049aee0a-d69c-4f09-ab63-cc0badab80b8 · outbound

This paper cites Methodus incrementorum directa & inversa.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Methodus incrementorum directa & inversa

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.499087Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.120110Z digest=sha256:0308f6219386b4a9654eb18dc82f0ce825d57c4878a03aa1a4f0bf81d889e110

Observation 1d98a0d0-c1ad-4a46-a584-b462a0894eb5 · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:46.123121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.123121Z digest=sha256:4cf9da8cab588b3bc09d888a7672eb65c8935d2f25370ef764265f454168d0ab

Observation ad0e963f-0a43-4a7f-a92c-81be3c805120 · outbound

This paper cites GPTVQ: The Blessing of Dimensionality for LLM Quantization.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization GPTVQ: The Blessing of Dimensionality for LLM Quantization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:46.126179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.126179Z digest=sha256:2d9fa7013f70735b64e1b7f195c3ca64ec3101ef167b847261edecba9bbd2a49

Observation 3042dafb-d0fd-4a38-8f65-eef2fd590264 · outbound

This paper cites Attention is all you need.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Attention is all you need

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:46.129364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.129364Z digest=sha256:db32ef75335a2c9211d21f783cc5cd87d66a159be954cc448a51a84cbaf367c1

Observation 561d9547-9f82-4254-9eed-161446ca1a5e · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:46.132613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.132613Z digest=sha256:11123b6ea64363a5d3e622086b0e020f8ed00c6cfdc7529bb626358a5dccb2e9

Observation a132d895-34ba-4412-9ebd-2512a3c1ac54 · outbound

This paper cites Post-training quantization for re-parameterization via coarse & fine weight splitting.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Post-training quantization for re-parameterization via coarse & fine weight splitting

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.481807Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.135816Z digest=sha256:66bae7a80a00e25b717e6ddff0979733ab8948e414a8d8e21cf0b85571b0f9dd

Observation b77d7f64-b37b-422e-94be-6af6f3f723c0 · outbound

This paper cites J., Yan, Y., Chen, B., Sun, G., and Keutzer, K.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization J., Yan, Y., Chen, B., Sun, G., and Keutzer, K

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.471286Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.138675Z digest=sha256:774f5aa4f8c83ee6df368a8cca924545c949eaa4367717362e66c1cf561ec562

Observation a02cb045-cfa2-40cc-9cf8-e17f290614f3 · outbound

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

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T04:34:46.141537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:34:46.141537Z digest=sha256:29c7a7ba4718deda3d65fe379473e046e31c692fe45f08ec4b34f35ee3c8b70f

Observation 9b84a293-df33-4b85-b8c6-22f1c70eae79 · outbound

This paper cites Semantic understanding of scenes through the ade20k dataset.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization Semantic understanding of scenes through the ade20k dataset

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.459863Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.144665Z digest=sha256:7edd448eaed5492ca751bb33a1d1d93330b35fb497a7b11355b3291f6f3064d1

Observation 320f071d-7e07-480f-b7d4-5ba1c3d47a29 · outbound

This paper cites and Chen, T.

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization and Chen, T

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:34:46.447321Z

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.

source=arxiv_source observed=2026-08-16T04:34:46.147630Z digest=sha256:1905c14ce96f8f0d42e638a6bb480165f0aed052b7a521614e2a3c3f75585b31

Pith citing papers

Observation 88091b47-9f15-46f8-bafe-c616ba33ecc4 · inbound

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models cites this paper.

Breaking Modality Heterogeneity in Low-Bit Quantization for Large Vision-Language Models RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:23:03.638966Z

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.

source=pdf_text observed=2026-05-20T05:20:45.264341Z digest=sha256:64c7b45d184fe41eded88c2dfcdf1c978b327e3f28ab41e7aefd24282dea83ab