Paper Citation Record · LEDGER

Cut Your Losses in Large-Vocabulary Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.09009.

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

pith.paper-citation-record.v1
2411.09009 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:52.635046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:56:23.985782Z

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 c95d2faf-a8e2-4a07-a554-9b3e00fa1b90 · inbound

Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs cites this paper.

Can LLMs Understand Unvoiced Speech? Exploring EMG-to-Text Conversion with LLMs Cut Your Losses in Large-Vocabulary Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:11:52.635046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637881d9-79f9-4776-90cd-dca4f38b50dd · inbound

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation cites this paper.

TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation Cut Your Losses in Large-Vocabulary Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:22.566619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8619c83e-531d-45a5-be67-095bea1cfbc1 · inbound

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs cites this paper.

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs Cut Your Losses in Large-Vocabulary Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:24:26.193277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05248fda-417a-4a56-8845-867b2190b403 · inbound

Towards Generalizable and Efficient Large-Scale Generative Recommenders cites this paper.

Towards Generalizable and Efficient Large-Scale Generative Recommenders Cut Your Losses in Large-Vocabulary Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-25T03:56:36.912477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ab5b66d-4e4f-458a-aa35-7ec9be4e0fc6 · inbound

Large Byte Model: Teaching Language Models About Compiled Code cites this paper.

Large Byte Model: Teaching Language Models About Compiled Code Cut Your Losses in Large-Vocabulary Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-01T23:56:23.987683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.