Paper Citation Record · LEDGER

Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.04392.

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

pith.paper-citation-record.v1
2404.04392 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:34.282788Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:45:29.235742Z

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 059b4cc0-524a-4a05-9290-2ae27bc5f4a9 · inbound

Capturing the Effects of Quantization on Trojans in Code LLMs cites this paper.

Capturing the Effects of Quantization on Trojans in Code LLMs Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:34.282788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d95e5fad-f1cd-4af4-9819-486e74c05bc6 · inbound

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.

SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:52:28.533469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 076433ab-6861-4243-b4f2-0040596c2efa · inbound

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency cites this paper.

Fine-Tuning Lowers Safety and Disrupts Evaluation Consistency Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:33:38.401901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7134d6f-d6e7-48f8-8c56-d21ec9fa118f · inbound

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection cites this paper.

Preserving Fairness and Safety in Quantized LLMs Through Critical Weight Protection Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T09:59:50.683166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 792484bf-0564-4618-9882-a52df0375a50 · inbound

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling cites this paper.

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.239911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 543e8d1d-850c-4808-9ad7-939571a77aaf · inbound

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains cites this paper.

Safety Drift After Fine-Tuning: Evidence from High-Stakes Domains Fine-Tuning, Quantization, and LLMs: Navigating Unintended Outcomes

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:19.273940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.