Paper Citation Record · LEDGER

Extreme Compression of Large Language Models via Additive Quantization

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2401.06118.

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

pith.paper-citation-record.v1
2401.06118 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:39:06.778635Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:39:57.850108Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3dd06b7b-8bce-49cb-a565-a81aefc033e8 · inbound

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models cites this paper.

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models Extreme Compression of Large Language Models via Additive Quantization

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:40:02.208737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d88f3d30-7423-4d92-b7f0-ba9d9a364a0d · inbound

SpinQuant: LLM quantization with learned rotations cites this paper.

SpinQuant: LLM quantization with learned rotations Extreme Compression of Large Language Models via Additive Quantization

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T15:52:34.665680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a7063dd-279e-4af3-b72b-569d925c50c6 · inbound

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos cites this paper.

Provable Post-Training Quantization: Theoretical Analysis of OPTQ and Qronos Extreme Compression of Large Language Models via Additive Quantization

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:52:53.045199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 333bcaa5-066f-428e-9eee-ded1225fba65 · inbound

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches cites this paper.

Motivating Next-Gen Accelerators with Flexible (N:M) Activation Sparsity via Benchmarking Lightweight Post-Training Sparsification Approaches Extreme Compression of Large Language Models via Additive Quantization

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:41:25.968867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cf5c1dce-4a29-48eb-9245-3601303fbc57 · inbound

SignRoundV2: Toward Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs cites this paper.

SignRoundV2: Toward Closing the Performance Gap in Extremely Low-Bit Post-Training Quantization for LLMs Extreme Compression of Large Language Models via Additive Quantization

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:10:24.846706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd9276b6-6e56-42e4-b282-ef7f11db4a9d · inbound

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models cites this paper.

From Segments to Scenes: Temporal Understanding for Agentic Autonomous Driving via Vision-Language Models Extreme Compression of Large Language Models via Additive Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T18:28:17.210379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 489a29cb-7857-4be1-bf98-15d8e6810e65 · inbound

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference cites this paper.

SALAAD: Sparse And Low-Rank Adaptation via ADMM for Large Language Model Inference Extreme Compression of Large Language Models via Additive Quantization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T06:01:14.100670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b46223-496e-4c88-ba72-22c31e4d0991 · inbound

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models cites this paper.

BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models Extreme Compression of Large Language Models via Additive Quantization

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T14:14:12.382706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e5ef73dd-2ab6-4029-9439-b0f719b04bf2 · inbound

CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization cites this paper.

CoreQ: Learning-Free Mismatch Correction and Successive Rounding for Quantization Extreme Compression of Large Language Models via Additive Quantization

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:52:28.430581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f334d98c-2e02-47ea-ab38-a8fb93907250 · inbound

S2O: Early Stopping for Sparse Attention via Online Permutation cites this paper.

S2O: Early Stopping for Sparse Attention via Online Permutation Extreme Compression of Large Language Models via Additive Quantization

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:36:32.866811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6ba3859a-434d-4e99-95de-461bee102348 · inbound

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook cites this paper.

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook Extreme Compression of Large Language Models via Additive Quantization

Reference 99

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T20:28:14.274229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 32fc55e5-b72b-42a9-a150-90d68dcd6960 · inbound

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling cites this paper.

FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling Extreme Compression of Large Language Models via Additive Quantization

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:25:56.614042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4b9d5074-6984-40e8-a8c0-1370479d3c14 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Extreme Compression of Large Language Models via Additive Quantization

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:36:02.303475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a17d4df-ac86-439a-9dfd-bebaa3d296e9 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling Extreme Compression of Large Language Models via Additive Quantization

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T18:02:42.259097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0dbeb0ac-ca5b-4fbc-8c29-b34318db1bef · inbound

SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving cites this paper.

SAW-INT4: System-Aware 4-Bit KV-Cache Quantization for Real-World LLM Serving Extreme Compression of Large Language Models via Additive Quantization

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:14:08.292383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6a650f0d-7fa8-4f00-b4a7-398ca6af3654 · inbound

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation cites this paper.

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation Extreme Compression of Large Language Models via Additive Quantization

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:04.531356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 48269ae2-16fa-4a43-ab45-baf1c23ae9cf · inbound

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets cites this paper.

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets Extreme Compression of Large Language Models via Additive Quantization

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:28:16.821701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2a2a897d-b308-4140-bfad-424919528f20 · inbound

ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models cites this paper.

ActQuant: Sub-4-bit Action-Guided Quantization for Vision-Language-Action Models Extreme Compression of Large Language Models via Additive Quantization

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:05:47.976295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3cda3c24-9941-44c3-89d3-d58c3e24e172 · inbound

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization cites this paper.

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization Extreme Compression of Large Language Models via Additive Quantization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T12:14:39.062248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d72d6847-4844-4887-8057-75c4c71efd3f · inbound

WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization cites this paper.

WINDQuant: Weight-Informed Neural Decision-Making for Global Mixed-Precision LLM Quantization Extreme Compression of Large Language Models via Additive Quantization

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:33:53.959601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc8f316e-7897-4f4a-ada1-14ead50af142 · inbound

HARP: Hadamard-Preconditioned Adaptive Rotation Processor for Extreme LLM Quantization cites this paper.

HARP: Hadamard-Preconditioned Adaptive Rotation Processor for Extreme LLM Quantization Extreme Compression of Large Language Models via Additive Quantization

Reference 1

Resolution: malformed identifier; arxiv_id, observed 2026-06-29T13:53:29.657669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3a953875-6e80-4582-ac2d-67aab035d42e · inbound

Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference cites this paper.

Qift: Shift-Friendly No-Zero W2 Post-Training Quantization for Rotated W2A4/KV4 LLM Inference Extreme Compression of Large Language Models via Additive Quantization

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:15.957269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 13e220e0-5905-4fd6-96e1-1c607db14c73 · inbound

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression cites this paper.

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression Extreme Compression of Large Language Models via Additive Quantization

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:46:26.898431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4e9c52e-ef22-423e-affa-381ea50aecf8 · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection Extreme Compression of Large Language Models via Additive Quantization

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:27.011046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1ea1b4fe-faf0-407b-b888-28787d78b9f9 · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection Extreme Compression of Large Language Models via Additive Quantization

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:24:38.301078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 83aedfc9-6608-44c9-bd81-e3f1d9ee33ca · inbound

Multi-Bitwidth Quantization for LLMs Using Additive Codebooks cites this paper.

Multi-Bitwidth Quantization for LLMs Using Additive Codebooks Extreme Compression of Large Language Models via Additive Quantization

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:48:21.354907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c38210ad-15bc-46e6-a32b-2e8b5f66b6ea · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Extreme Compression of Large Language Models via Additive Quantization

Reference 150

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T11:09:46.230247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c86b2b5d-32b6-49d8-833c-44c9cf9ff354 · inbound

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems cites this paper.

The Hitchhiker's Guide to Agentic AI: From Foundations to Systems Extreme Compression of Large Language Models via Additive Quantization

Reference 150

Resolution: unresolved; no resolver link, observed 2026-08-02T10:27:18.293481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07535700-f01f-4327-8453-3e5bdb230fd3 · inbound

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair cites this paper.

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair Extreme Compression of Large Language Models via Additive Quantization

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:39:57.851690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 382d3d53-2e97-4f26-8029-f94b47b65942 · inbound

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair cites this paper.

Smaller Models, Unexpected Costs: Trade-offs in LLM Quantization for Automated Program Repair Extreme Compression of Large Language Models via Additive Quantization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T11:49:34.865484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b72dd6dc-1cf9-4c3c-b5ed-fd9b823302c7 · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Extreme Compression of Large Language Models via Additive Quantization

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.755411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a37e7a8f-29ce-45ad-818b-9a0fffe88d7f · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors Extreme Compression of Large Language Models via Additive Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:39:06.778635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b6e680d-99cb-4fc7-8bfa-e3b9323788d2 · inbound

Reliability Scaling Laws for Quantized Large Language Models cites this paper.

Reliability Scaling Laws for Quantized Large Language Models Extreme Compression of Large Language Models via Additive Quantization

Reference 87

Resolution: unresolved; no resolver link, observed 2026-07-14T08:45:52.855783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fec4cf6-8036-4a8f-8ff8-cdab958a7770 · inbound

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference cites this paper.

A Motion-Aware Vector Quantization Framework with Centroid Reuse for Efficient VLA Inference Extreme Compression of Large Language Models via Additive Quantization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T22:36:29.223928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.