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Paper Citation Record · LEDGER

Radio: Rate-Distortion Optimization for Large Language Model Compression

As of 17 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2505.03031.

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

pith.paper-citation-record.v1
2505.03031 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:08:07.355372Z

measured 41 of 41 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 2026-05-11T03:40:30.476346Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:40:53.352505Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved23
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a4d0f5c-042c-4778-9e11-5e50de01eafe · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 1

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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.

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Observation 867c3107-fe27-4760-8405-d2ae285efae8 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 2

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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.

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Observation 8bc5ace9-0211-47b6-8259-168e96b94769 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression 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 2026-08-17T06:30:58.91139+00:00.

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Observation f132c08d-c020-4a67-a391-2cd4e1f0ae67 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 5

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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.

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Observation 2ba9d43e-044b-4116-91ef-ce22b45ad7a0 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 6

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Source-reported events for the cited work

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

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Observation 25097e98-f9a7-4a8e-8ab7-7af35b3e035c · outbound

This paper cites Loss-aware quantization methods (Hou & Kwok, 2018; Nahshan et al., 2020; Qu et al.,.

Radio: Rate-Distortion Optimization for Large Language Model Compression Loss-aware quantization methods (Hou & Kwok, 2018; Nahshan et al., 2020; Qu et al.,

Reference 8

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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.

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Observation 6cec5c42-d4f0-456a-a1fa-0400afa7beb8 · outbound

This paper cites Choi et al., 2021).

Radio: Rate-Distortion Optimization for Large Language Model Compression Choi et al., 2021)

Reference 10

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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.

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Observation 98c650d6-2ce0-4007-86f2-37de99fe0afb · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 13

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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.

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Observation 9c64d67b-ae23-4520-b80b-62b825ea8766 · outbound

This paper cites ,ΘN) (model), {X} (calibration set), 2 R (target bit rate), Bmax←8 (max bit depth) 3 Output: B1,.

Radio: Rate-Distortion Optimization for Large Language Model Compression ,ΘN) (model), {X} (calibration set), 2 R (target bit rate), Bmax←8 (max bit depth) 3 Output: B1,

Reference 15

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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.

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Observation a821614b-93e0-4ac3-8ef5-d972cff51848 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 18

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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.

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Observation 334d9281-4fbf-4643-9c22-0a6883abce8f · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 20

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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.

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Observation d965accc-908c-4363-bdc2-65dbad5e789a · outbound

This paper cites A small fraction of weights is quantized to zero and pruned away due to low variance, with smaller groups increasing the degree of pruning (a).

Radio: Rate-Distortion Optimization for Large Language Model Compression A small fraction of weights is quantized to zero and pruned away due to low variance, with smaller groups increasing the degree of pruning (a)

Reference 22

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Source-reported events for the cited work

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

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Observation 49cee01f-4c04-410e-8986-a7cf44d3a350 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 24

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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.

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Observation 26349be0-721e-4eca-8941-138dac8b5223 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 25

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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.

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Observation 93552923-e1f2-45b2-be3e-0444c8968433 · outbound

This paper cites We quantize the Meta Llama 2 family of LLMs to ~3 bits per weight on average and measure the running time of the proposed method.

Radio: Rate-Distortion Optimization for Large Language Model Compression We quantize the Meta Llama 2 family of LLMs to ~3 bits per weight on average and measure the running time of the proposed method

Reference 26

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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.

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Observation 695451d0-c033-4b27-a167-b3fb26e9a0df · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression 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.

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Observation af601756-700a-4fd3-aa05-b2d470c0ebfb · outbound

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

Radio: Rate-Distortion Optimization for Large Language Model Compression GPTVQ: The Blessing of Dimensionality for LLM Quantization

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5b65937-b1e7-4029-9404-0a1b08a91cc9 · outbound

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

Radio: Rate-Distortion Optimization for Large Language Model Compression Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 30

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Source-reported events for the cited work

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Observation 37b84664-3383-4607-8252-54eb37413e76 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Radio: Rate-Distortion Optimization for Large Language Model Compression Training Verifiers to Solve Math Word Problems

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e6d11470-7753-4d96-bb95-7ef9669aa837 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

Radio: Rate-Distortion Optimization for Large Language Model Compression SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 44056cb3-520c-4416-b47b-fa98bda3fdcf · outbound

This paper cites SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models.

Radio: Rate-Distortion Optimization for Large Language Model Compression SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5ccfe4e2-f618-4e68-93e8-6db7200d97ab · outbound

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

Radio: Rate-Distortion Optimization for Large Language Model Compression Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 34

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Unavailable: canonical work link unavailable.

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Observation b30f0260-7467-4eba-ad01-3e8fbbabf6e7 · outbound

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

Radio: Rate-Distortion Optimization for Large Language Model Compression PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 544d44c2-a468-4194-a83e-01d11be79cd1 · outbound

This paper cites LLM Inference Unveiled: Survey and Roofline Model Insights.

Radio: Rate-Distortion Optimization for Large Language Model Compression LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0ea1df5-a8da-404b-9f43-46975a26cc7c · outbound

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

Radio: Rate-Distortion Optimization for Large Language Model Compression HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f239068-4143-44f8-a6f2-da4c746fa302 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Radio: Rate-Distortion Optimization for Large Language Model Compression OPT: Open Pre-trained Transformer Language Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5164f785-521b-41d2-9500-c391a014c275 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 256

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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.

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Observation 617a7b52-d82c-4133-abdc-24122e32b2b5 · outbound

This paper cites We will discuss the quantization of activations and more advanced methods for model quantization in the sequel.

Radio: Rate-Distortion Optimization for Large Language Model Compression We will discuss the quantization of activations and more advanced methods for model quantization in the sequel

Reference 1024

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verified fuzzy
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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.

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Observation a99a4bc3-f319-43db-906a-824e27f80860 · outbound

This paper cites For simplicity, let us rewrite model (4) as 𝑓( ⋅ ,𝚯1,𝚯2,...,𝚯𝑁)=𝑓( ⋅ ,𝚯), where 𝚯 is a vector of all model weights across different layers of the model.

Radio: Rate-Distortion Optimization for Large Language Model Compression For simplicity, let us rewrite model (4) as 𝑓( ⋅ ,𝚯1,𝚯2,...,𝚯𝑁)=𝑓( ⋅ ,𝚯), where 𝚯 is a vector of all model weights across different layers of the model

Reference 1992

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verified fuzzy
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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.

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Observation ea508295-4861-4714-9557-7086e939d41a · outbound

This paper cites One can think of 𝐺12,𝐺22,...,𝐺𝑁2 as the diagonal elements of a non-diagonal Hessian matrix used in e.g.

Radio: Rate-Distortion Optimization for Large Language Model Compression One can think of 𝐺12,𝐺22,...,𝐺𝑁2 as the diagonal elements of a non-diagonal Hessian matrix used in e.g

Reference 2006

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verified fuzzy
raw_fallback, observed 2026-08-16T00:08:07.517869Z

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.

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Observation 9a5d4d76-2dea-40e6-8cf9-ef1194cf3535 · outbound

This paper cites companded.

Radio: Rate-Distortion Optimization for Large Language Model Compression companded

Reference 2011

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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.

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Observation 842faee6-7a8d-43d6-8383-579ad7d4c1ea · outbound

This paper cites Choi et al., 2017; Wang et al., 2019), determining the optimal bit depth (Wang et al., 2019; D.

Radio: Rate-Distortion Optimization for Large Language Model Compression Choi et al., 2017; Wang et al., 2019), determining the optimal bit depth (Wang et al., 2019; D

Reference 2017

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verified fuzzy
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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.

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Observation 3c59bbb7-265b-47a3-b6b6-f209d48d1eaa · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 2018

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raw_fallback, observed 2026-08-16T00:08:07.790664Z

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.

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Observation a0085984-0077-4a13-8872-e987b8d38f90 · outbound

This paper cites Zhang et al., 2018; Zhou et al.,.

Radio: Rate-Distortion Optimization for Large Language Model Compression Zhang et al., 2018; Zhou et al.,

Reference 2019

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verified fuzzy
raw_fallback, observed 2026-08-16T00:08:07.827344Z

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=2026-08-16T00:08:07.212877Z digest=sha256:b5532cbefcfa6bdd3ed6df6f8de6b82727ae08e0ca1b67b4683d5a2878076239

Observation d42624dc-591e-4574-b9f9-88a5de5b8bf3 · outbound

This paper cites Data-free quantization (Nagel et al., 2019; Xu et al., 2020; K.

Radio: Rate-Distortion Optimization for Large Language Model Compression Data-free quantization (Nagel et al., 2019; Xu et al., 2020; K

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:08:07.766995Z

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.

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Observation 3555d3b8-8980-4c63-a8cb-1d4bae81713e · outbound

This paper cites Next Token Prediction.

Radio: Rate-Distortion Optimization for Large Language Model Compression Next Token Prediction

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:08:07.641838Z

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=2026-08-16T00:08:07.271212Z digest=sha256:7efe2aa0e9a45d43eb97f4c0200ca5462d89d3e44b80f57ff1ca0f332734b108

Observation 1558e9a2-9966-444b-80ef-4ba9411a8dbc · outbound

This paper cites More recent extensions (Dettmers et al., 2023; Lee et al.,.

Radio: Rate-Distortion Optimization for Large Language Model Compression More recent extensions (Dettmers et al., 2023; Lee et al.,

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:08:07.741210Z

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.

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Observation 7ad5133a-88c6-43c9-a51f-5b28ce9deb4b · outbound

This paper cites For calibration data, we source 128 examples from the training split of the C4 dataset (Raffel et al., 2020).

Radio: Rate-Distortion Optimization for Large Language Model Compression For calibration data, we source 128 examples from the training split of the C4 dataset (Raffel et al., 2020)

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:08:07.666408Z

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.

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Observation 84147a17-9c66-4c4c-9678-31e3941ee6e5 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:08:07.729336Z

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.

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Observation 289d4672-14a0-4178-a0b0-21cae6777588 · outbound

This paper cites an unresolved cited work.

Radio: Rate-Distortion Optimization for Large Language Model Compression Unresolved cited work

Reference 2025

Resolution
unresolved
raw_fallback, observed 2026-08-16T00:08:07.864716Z

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=2026-08-16T00:08:07.200473Z digest=sha256:461ff0f68530e8c08b3c9c7c0e1f93977cb90f6b3b81d1d3a10835102454239a

Pith citing papers

Observation 13501990-99d5-4adb-aa77-07b431b2d483 · inbound

ADKO: Agentic Decentralized Knowledge Optimization cites this paper.

ADKO: Agentic Decentralized Knowledge Optimization Radio: Rate-Distortion Optimization for Large Language Model Compression

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:40:53.354476Z

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=2026-05-11T03:40:30.476346Z digest=sha256:afec4ba1c73a2eff7dfd5340fd83f73007b9c1cc73f0b636a70ab29793e6be59