Paper Citation Record · LEDGER

Machine Learning Model Sizes and the Parameter Gap

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2207.02852.

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

pith.paper-citation-record.v1
2207.02852 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:04:35.553102Z

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

28
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 b20e4d52-1f6f-4090-8738-ebc454d67824 · inbound

Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts cites this paper.

Enhancing Instructional Quality: Leveraging Computer-Assisted Textual Analysis to Generate In-Depth Insights from Educational Artifacts Machine Learning Model Sizes and the Parameter Gap

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:08:48.107865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78df2362-877b-44f2-9782-b96169109b28 · inbound

Revisiting Weight Averaging for Model Merging cites this paper.

Revisiting Weight Averaging for Model Merging Machine Learning Model Sizes and the Parameter Gap

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-11T18:15:59.316304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f82b58-cb24-46e8-a432-ba8f2b8cce63 · inbound

GeFL: Model-Agnostic Federated Learning with Generative Models cites this paper.

GeFL: Model-Agnostic Federated Learning with Generative Models Machine Learning Model Sizes and the Parameter Gap

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T04:45:42.239172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efec145c-f2d8-4a5b-9e57-5ce95568108f · inbound

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation cites this paper.

Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation Machine Learning Model Sizes and the Parameter Gap

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T06:04:35.553102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e07525-72d9-4f3f-a194-611aeefdff20 · inbound

RanDeS: Randomized Delta Superposition for Multi-Model Compression cites this paper.

RanDeS: Randomized Delta Superposition for Multi-Model Compression Machine Learning Model Sizes and the Parameter Gap

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T21:02:49.390544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d8088db-f111-460c-87a4-5ad98c9633b2 · inbound

On the Performance of Concept Probing: The Influence of the Data (Extended Version) cites this paper.

On the Performance of Concept Probing: The Influence of the Data (Extended Version) Machine Learning Model Sizes and the Parameter Gap

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T14:36:21.382520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587a39b9-0d67-4d60-9607-6212456b2ca9 · inbound

400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects cites this paper.

400-Gbps/$\lambda$ Ultrafast Silicon Microring Modulator for Scalable Optical Compute Interconnects Machine Learning Model Sizes and the Parameter Gap

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T12:30:43.875557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3907bc-3c5a-47a9-a401-931da6594fc4 · inbound

Time-multiplexed layer reuse for physical neural networks cites this paper.

Time-multiplexed layer reuse for physical neural networks Machine Learning Model Sizes and the Parameter Gap

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T07:54:47.790951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aaace37-98ec-423f-a23a-e760fa69ff30 · inbound

Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods cites this paper.

Analyzing Reverse Address Translation Overheads in Multi-GPU Scale-Up Pods Machine Learning Model Sizes and the Parameter Gap

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:38:14.407175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3db68399-9138-47dc-835a-1159c35914ca · inbound

Using Learning Theories to Evolve Human-Centered XAI: Future Perspectives and Challenges cites this paper.

Using Learning Theories to Evolve Human-Centered XAI: Future Perspectives and Challenges Machine Learning Model Sizes and the Parameter Gap

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:13:24.925406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb16774e-4073-4f8d-8d98-fd8822b35711 · inbound

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering cites this paper.

Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering Machine Learning Model Sizes and the Parameter Gap

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:55:06.156015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b3580a0f-fb3e-4596-adb1-16a3567ec601 · inbound

Foundational values for foundation models cites this paper.

Foundational values for foundation models Machine Learning Model Sizes and the Parameter Gap

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T18:27:21.610124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.