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Paper Citation Record · LEDGER

Quantifying the Capabilities of LLMs across Scale and Precision

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.03146.

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

pith.paper-citation-record.v1
2405.03146 v2

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 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:40:09.949296Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 046e2736-a07d-46d5-9d1b-c229b49006a0 · inbound

Generating a Low-code Complete Workflow via Task Decomposition and RAG cites this paper.

Generating a Low-code Complete Workflow via Task Decomposition and RAG Quantifying the Capabilities of LLMs across Scale and Precision

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T05:37:39.699662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:37:39.699662Z digest=sha256:30dd1499590598d43359a8470a6954c5c8fab62f1229c57cd94c107e751cce53

Observation ff6a38f5-e871-4456-b764-12e87a30a5c4 · inbound

Generics are puzzling. Can language models find the missing piece? cites this paper.

Generics are puzzling. Can language models find the missing piece? Quantifying the Capabilities of LLMs across Scale and Precision

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T15:07:59.568282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:07:59.568282Z digest=sha256:d42dae3969ee2f32b5ee18d299352f7ddd259b21b4bbb5866b5fa623541cad2b

Observation e13c9135-3491-4de3-8990-6566eb483ff2 · inbound

Injecting Universal Jailbreak Backdoors into LLMs in Minutes cites this paper.

Injecting Universal Jailbreak Backdoors into LLMs in Minutes Quantifying the Capabilities of LLMs across Scale and Precision

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-08T17:16:49.775545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:16:49.775545Z digest=sha256:85887772ec65c79c7da5572efaf498278814597e00c76b0b5eadfa19bf7a5ed6

Observation d85417b2-aa44-48ac-952d-8b9a3ab54a85 · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving Quantifying the Capabilities of LLMs across Scale and Precision

Reference 159

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:15.500131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:15.500131Z digest=sha256:c8df8e99970734a6ed3122f6055b440ff44eeacdb4d50e108c9ef942aea9bca3

Observation 4539ba0d-6f7a-472c-a27c-c1b85ec456a7 · inbound

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models cites this paper.

Q-resafe: Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models Quantifying the Capabilities of LLMs across Scale and Precision

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:19.492020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:19.492020Z digest=sha256:06228c3c2e43d0288ce8d07d79859618b14e92c0937abfd74ca0b6f06b25856f

Observation 86abacb4-1414-4204-bb0d-9873b9e422f1 · inbound

The Uneven Impact of Post-Training Quantization in Machine Translation cites this paper.

The Uneven Impact of Post-Training Quantization in Machine Translation Quantifying the Capabilities of LLMs across Scale and Precision

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:26.446773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:49:26.446773Z digest=sha256:95ccbff2f9a56b41800349fbba99f649d4a3ea5e1557ddefd67ad710c0517821

Observation fde18336-11a3-4cbf-8ff6-58d974480b84 · inbound

Hardware Generation and Exploration of Lookup Table-Based Accelerators for 1.58-bit LLM Inference cites this paper.

Hardware Generation and Exploration of Lookup Table-Based Accelerators for 1.58-bit LLM Inference Quantifying the Capabilities of LLMs across Scale and Precision

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:41:16.230164Z

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.

source=pdf_text observed=2026-05-07T14:52:39.193613Z digest=sha256:81d11dcc4850321f7d9f2c50286897d04099659fb14713e67f7fec0d6a599d32

Observation 87be3711-dcf6-4263-9884-810c8ea6fde6 · inbound

K-Quantization and its Impact on Output Performance cites this paper.

K-Quantization and its Impact on Output Performance Quantifying the Capabilities of LLMs across Scale and Precision

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:38:04.657266Z

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.

source=arxiv_source observed=2026-05-20T05:37:46.225362Z digest=sha256:41ff42793fdf47ac1b561740be96733f08b68d7cad2f9f04dd5cb34ce8dac73d

Observation 01025f26-4fdf-4576-9251-6881262df4c0 · inbound

Hidden Language Consistency Phenomena in Reasoning LLMs cites this paper.

Hidden Language Consistency Phenomena in Reasoning LLMs Quantifying the Capabilities of LLMs across Scale and Precision

Reference 187

Resolution
unresolved
no resolver link, observed 2026-08-14T04:40:09.949296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:40:09.949296Z digest=sha256:fafd6bdf6ae06b5b00b0be54785efd7572c6cf1aa9640ff6ff3a7d15842e8f3a