Paper Citation Record · LEDGER

LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.16103.

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

pith.paper-citation-record.v1
2410.16103 v4

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:32:23.022774Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:52:41.346657Z

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 416f122b-95e3-4527-ba26-770f5a654b6c · inbound

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection cites this paper.

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:23.022774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8313d2d6-6976-4eed-9e3c-bf3ef019c04e · inbound

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking cites this paper.

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:26.421862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97fd5a9e-bc1b-4409-81a9-4f7d4d14afa1 · inbound

Unified Scaling Laws for Compressed Representations cites this paper.

Unified Scaling Laws for Compressed Representations LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:40:11.503607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ce491b4-714a-4326-9aab-a6a8094e5ce6 · inbound

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure cites this paper.

CR-Net: Scaling Parameter-Efficient Training with Cross-Layer Low-Rank Structure LDAdam: Adaptive Optimization from Low-Dimensional Gradient Statistics

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:52:41.349955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.