Paper Citation Record · LEDGER

Ranger21: a synergistic deep learning optimizer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2106.13731.

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

pith.paper-citation-record.v1
2106.13731 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:22:23.166969Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:49:36.837129Z

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 9e4f294a-5d8d-4cab-a6d6-faeb9a94718c · inbound

Pre-Training LLMs on a budget: A comparison of three optimizers cites this paper.

Pre-Training LLMs on a budget: A comparison of three optimizers Ranger21: a synergistic deep learning optimizer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:22:23.166969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0411ea84-6ef4-4b06-bcf1-20022ddb5518 · inbound

PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion cites this paper.

PanoSAMic: Panoramic Image Segmentation from SAM Feature Encoding and Dual View Fusion Ranger21: a synergistic deep learning optimizer

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:48:00.831204Z

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.

Observation adf1784b-31d7-414f-a39c-a442e9419eca · inbound

Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation cites this paper.

Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation Ranger21: a synergistic deep learning optimizer

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:49:36.839304Z

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.

Observation 530a35f7-d048-4f20-857c-b9fe4b85d784 · inbound

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers cites this paper.

OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers Ranger21: a synergistic deep learning optimizer

Reference 115

Resolution: unresolved; no resolver link, observed 2026-07-11T22:10:49.683444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.