Paper Citation Record · LEDGER

Accuracy is Not All You Need

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.09141.

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

pith.paper-citation-record.v1
2407.09141 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:49.019427Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T16:25:49.793833Z

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 f0da55fd-4ea4-4a84-965c-c9b1d98d74dd · inbound

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference cites this paper.

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference Accuracy is Not All You Need

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T17:18:51.432553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 440c5def-e338-4dbd-9525-9723b82b009e · inbound

Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI cites this paper.

Weight Pruning Amplifies Bias: A Multi-Method Study of Compressed LLMs for Edge AI Accuracy is Not All You Need

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:17.638728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f1e3dc1-6919-4ef8-9d56-4592b38885cf · inbound

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels cites this paper.

Quantization Undoes Alignment: Bias Emergence in Compressed LLMs Across Models and Precision Levels Accuracy is Not All You Need

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-19T17:57:42.525569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b78facdd-f7c4-4af8-8ffd-89a3652fa00c · inbound

Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding cites this paper.

Cassandra: Enabling Reasoning LLMs at Edge via Self-Speculative Decoding Accuracy is Not All You Need

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:25:49.795262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d004b53-0b49-480b-ab1b-681f1022046d · inbound

Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models cites this paper.

Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models Accuracy is Not All You Need

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T06:20:07.112455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 226d6b61-c446-4243-a378-67f3159a5caf · inbound

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

Reliability Scaling Laws for Quantized Large Language Models Accuracy is Not All You Need

Reference 74

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 b52f2067-7f30-41f7-b43a-93d9acdc4c1a · inbound

HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks cites this paper.

HindsightBench: A Black-Box Behavioral Audit Protocol for Parametric Hindsight in Time-Indexed LLM Decision Tasks Accuracy is Not All You Need

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T14:11:08.501659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bec8d92-52e5-466b-a12a-61210d4697e7 · inbound

Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving cites this paper.

Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving Accuracy is Not All You Need

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T04:25:49.019427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.