Paper Citation Record · LEDGER

SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.12340.

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

pith.paper-citation-record.v1
2503.12340 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:37.629565Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:31.559437Z

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 eeb2b6a7-0a02-44ce-8335-1f4ff9efcef4 · inbound

A3 : an Analytical Low-Rank Approximation Framework for Attention cites this paper.

A3 : an Analytical Low-Rank Approximation Framework for Attention SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:04:57.102040Z

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 ecd7c34b-7fbe-47d0-b6d0-f21445765215 · inbound

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models cites this paper.

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:37.629565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fc6813c-c647-47b9-908e-3d9cfb59dd32 · inbound

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models cites this paper.

FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T05:40:48.949595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03845ae1-c22f-48c4-9d23-b5d3675a671b · inbound

S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner cites this paper.

S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T18:12:36.116513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bda70f81-1743-4ba1-80ab-9a6c342e3ed9 · inbound

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium cites this paper.

NeuronMLP: Efficient LLM Inference via Singular Value Decomposition Compression and Tiling on AWS Trainium SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:52:21.795117Z

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 a5fd0b78-a998-428b-aeb5-7f1beb4eacdd · inbound

Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits cites this paper.

Cross-Layer Subspace Coupling for LLM Compression: A Unifying Framework and Its Empirical Limits SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-28T23:42:49.655879Z

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 7a21025b-0767-4c59-83e9-079d2fd40015 · inbound

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation cites this paper.

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:32:35.657043Z

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 578ee0d0-fbc7-4ee1-8638-904d132bc6c2 · inbound

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models cites this paper.

LASER: Loss-Aware Singular-value Decomposition and Rank Allocation for Efficient Low-Precision Vision-Language Models SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.671034Z

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 70232591-0e5f-436b-b0a7-232980ec6055 · inbound

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs cites this paper.

Activation- and Influence-Aware Ranks (AIR): Function-Preserving SVD Compression for LLMs SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Reference 199

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:31.561477Z

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.