Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T00:50:44.621739Z
Paper Citation Record · LEDGER
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs
As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.04048.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
33 of 33 outbound references displayed
- verified exact2
- verified fuzzy3
- unresolved27
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7504a75c-5692-44ae-8552-3705cef79ed2 · outbound
This paper cites GPT-4 Technical Report.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs GPT-4 Technical Report
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.464759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b53ea7b1-e9e7-4f4c-9c8d-4d19c6cbc46d · outbound
This paper cites DeepSeek-V3 Technical Report.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs DeepSeek-V3 Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.470275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ad853d0-c0b0-4c6b-8aca-8e037437a905 · outbound
This paper cites Qwen3 Technical Report.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Qwen3 Technical Report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.475131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad94c565-a6b3-4e6a-b588-7d8e37869a9d · outbound
This paper cites The Llama 3 Herd of Models.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs The Llama 3 Herd of Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.480239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96cf0907-de23-44e5-b765-90344cc776a6 · outbound
This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.485168Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f3fa94e-efb8-44e7-86ab-fcfea5f417e4 · outbound
This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.490392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44addd7a-2979-4bdb-bcad-3bb2feb6bee7 · outbound
This paper cites QuIP: 2-Bit Quantization of Large Language Models With Guarantees.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs QuIP: 2-Bit Quantization of Large Language Models With Guarantees
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.496116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cc13639b-2bbb-4c2c-a67b-772753eecef0 · outbound
This paper cites an unresolved cited work.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T00:50:45.187032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 51480185-9103-4bb8-8cd9-e04c5e4ce676 · outbound
This paper cites Autoround: Advanced quantization algorithm for llms.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Autoround: Advanced quantization algorithm for llms
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:50:45.171591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 7fa38eb5-5e38-47c4-b1e9-9267f7fad42d · outbound
This paper cites DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.510061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f44ce703-8e6b-41ec-90d2-7de3488c9407 · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Gonzalez, Hao Zhang, and Ion Stoica
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.515000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4cb2e1d-6332-494e-ade7-40491c318a59 · outbound
This paper cites Matryoshka Quantization.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Matryoshka Quantization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.520201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 611c6721-e368-4b38-9274-cbdd26e74f18 · outbound
This paper cites Theoretical Grid-Forming Extreme of Inverters.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Theoretical Grid-Forming Extreme of Inverters
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.525345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c46894f7-5422-494f-8ba4-abcadcbcafc3 · outbound
This paper cites SqueezeLLM: Dense-and-Sparse Quantization.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs SqueezeLLM: Dense-and-Sparse Quantization
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.530504Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b657036-7739-4565-99a4-a304fc1d5b48 · outbound
This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.535275Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17ae9737-fa3b-4950-bc93-c6cb68bbf6c9 · outbound
This paper cites SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.540092Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4aa58001-ee2b-486f-ab5f-c93f5be466fe · outbound
This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs LLM-QAT: Data-Free Quantization Aware Training for Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.544992Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f45dc4b4-e35c-4d53-9dbc-029e2a64a2fc · outbound
This paper cites HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs HAWQ: Hessian AWare Quantization of Neural Networks with Mixed-Precision
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.549499Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 18be5264-191e-4268-91fe-a3cea5259322 · outbound
This paper cites HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.554063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e38827b4-81b1-46d4-992f-b2762537cbb5 · outbound
This paper cites OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.559064Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 399431a4-cbb8-4d61-9e7b-a8ea533ea0a5 · outbound
This paper cites Juang and A.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Juang and A
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:50:45.146633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a712fa5a-f6be-4e8a-9495-14d28005747c · outbound
This paper cites A convolution type model for the intensity of spatial point processes applied to eye-movement data.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs A convolution type model for the intensity of spatial point processes applied to eye-movement data
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T00:50:44.821770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 51d759a7-d75f-4b65-8c01-3289a55b9c47 · outbound
This paper cites Post-starburst galaxies in the centers of intermediate redshift clusters.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Post-starburst galaxies in the centers of intermediate redshift clusters
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T00:50:44.799651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 809efcc9-c5ff-49d1-b094-a56de27aaf89 · outbound
This paper cites Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.577839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8ff366e-1770-45e8-ac9e-fe0d045b1de9 · outbound
This paper cites Massive Activations in Large Language Models.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Massive Activations in Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.582319Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fecd4785-3405-4cba-93aa-b69654045e7f · outbound
This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.586871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5814b4d-5d41-40c8-8d22-a33f923bd6ae · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.591825Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation beb74699-9790-45ae-b3d4-56ab7b2b0955 · outbound
This paper cites an unresolved cited work.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T00:50:45.131691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b42d4592-8746-42b1-980f-312eecce96e2 · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.600802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ddc2cba-1726-4155-b14f-61355b4487ec · outbound
This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.605606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0cf4641b-7ed5-4f40-9cc6-47cb3fdad7aa · outbound
This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs PIQA: Reasoning about Physical Commonsense in Natural Language
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T00:50:44.610606Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64884a03-5a2f-426b-999f-51235b4e49d7 · outbound
This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Reference 32
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-08T00:50:44.615501Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5eb8d857-a77b-43d0-86b0-7f6a84a40084 · outbound
This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.
Recurrent Residual Quantization: A Progressive Multi-Precision Representation for LLMs Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T00:50:45.116600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.