Paper Citation Record · LEDGER

A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1806.00358.

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

pith.paper-citation-record.v1
1806.00358 v2

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 2026-07-23T06:31:01.910684+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:04:50.336003Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T23:14:02.080590Z

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 18d702f1-d2f7-425d-941f-b98a86ddd878 · inbound

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers cites this paper.

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:18:35.238590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 0e688f61-389e-4b6d-bd22-50d92130cd59 · inbound

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:35:38.064120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation c40ddb9b-b20b-4ce3-a819-b0fe8a029eb3 · inbound

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization cites this paper.

SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:10:26.016166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 3dec5c38-abb7-4007-9e27-6a618fa6f50c · inbound

GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing cites this paper.

GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:51:00.508850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation a7ef8a44-b7f7-44e7-8c36-59e969cd65d0 · inbound

Theory-optimal Quantization Based on Flatness cites this paper.

Theory-optimal Quantization Based on Flatness A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T22:39:09.846941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.

Observation 7f5969f0-3643-4679-9199-3abd9ea636cb · inbound

InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization cites this paper.

InfoQuant: Shaping Activation Distributions for Low-Bit LLM Quantization A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T23:14:02.081771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.