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Paper Citation Record · LEDGER

AdaLomo: Low-memory Optimization with Adaptive Learning Rate

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.10195.

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

pith.paper-citation-record.v1
2310.10195 v3

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:13.704284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T23:51:50.244403Z

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 dd7ff94d-2d99-4b92-ac6b-21e9de83f4aa · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection AdaLomo: Low-memory Optimization with Adaptive Learning Rate

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:51:50.246992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:c5d484693ae431728957728bdeaca36e7efc80109ebe96108bd2e1b4c72a38d6

Observation c0110075-4e92-407b-aaa8-878897446133 · inbound

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training cites this paper.

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training AdaLomo: Low-memory Optimization with Adaptive Learning Rate

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:13.704284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:09:13.704284Z digest=sha256:6404ce746b239ecd81cc254e2a9ac8d09f8c7a30fa8a2b21c0fb1203af7d9265

Observation 5758d07c-1abf-450f-9b2b-0ada3efa269a · inbound

Low-rank Momentum Factorization for Memory Efficient Training cites this paper.

Low-rank Momentum Factorization for Memory Efficient Training AdaLomo: Low-memory Optimization with Adaptive Learning Rate

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:40.191264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:40.191264Z digest=sha256:66e2485fe12b7a09e7dec334f620138f3aa7736097bc3f601eebd7e965ea43a6

Observation c723add3-c02a-4a60-8c24-a3616bd0b310 · inbound

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations cites this paper.

Evolution of Optimization Methods: Algorithms, Scenarios, and Evaluations AdaLomo: Low-memory Optimization with Adaptive Learning Rate

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:21.591474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T15:16:58.221358Z digest=sha256:b0e62d7e5613dd7ae6cd95845c7e83dd9a8693384b08af9feab443d7fc2ef7ae