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Paper Citation Record · LEDGER

Quantifying the Capabilities of LLMs across Scale and Precision

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:15.500131Z

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 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=sha256:4b652379f0f67f232d73fd80d6a709c22e36bbf54dec0361f88fac7ea524860f

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=sha256:710e435bbefc910a5fc4e8dae7525f10a4317d2ae271a4f764a6fc0ba6b1c567

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:b29708f1b70485cdea0179cc2cbbb379a1b0b17171360906e5e820fb93beb8c4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T14:52:39.193613Z digest=sha256:96a0d53391b9e6f7a441546f1f1af705f313ef0f85f6ffbd6f3af4dbd5828470

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T05:37:46.225362Z digest=sha256:b058fee741d527870f63d405613c798b2dffceee62c76d0fa0899f2d788e291a