Paper Citation Record · LEDGER

The Cost of Training NLP Models: A Concise Overview

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2004.08900.

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

pith.paper-citation-record.v1
2004.08900 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:04.244106Z

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

115
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 51cc121f-5b44-4011-a82a-24d065a5cb77 · inbound

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning cites this paper.

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning The Cost of Training NLP Models: A Concise Overview

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:31:08.333752Z

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 868fafc5-e5be-437d-94f1-39a31ae693a8 · inbound

DADA: Dual Averaging with Distance Adaptation cites this paper.

DADA: Dual Averaging with Distance Adaptation The Cost of Training NLP Models: A Concise Overview

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:55:24.886760Z

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 32becdb3-cf51-4728-8ae6-718acd5704bc · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices The Cost of Training NLP Models: A Concise Overview

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T01:05:16.516916Z

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 f8eff1b3-e612-4aba-8e72-316a59496d27 · inbound

Empirical Evaluation of Large Language Models in Automated Program Repair cites this paper.

Empirical Evaluation of Large Language Models in Automated Program Repair The Cost of Training NLP Models: A Concise Overview

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:04.244106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 058e6369-1db3-4c0c-8ae7-0fa3aaaac638 · inbound

GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation cites this paper.

GNN-CNN: An Efficient Hybrid Model of Convolutional and Graph Neural Networks for Text Representation The Cost of Training NLP Models: A Concise Overview

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T18:50:08.475355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bb041c-8990-4428-baf7-3788aebaa84d · inbound

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version cites this paper.

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version The Cost of Training NLP Models: A Concise Overview

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T17:57:18.554935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd41b570-6c05-4f0d-9c3c-eba2179dc77c · inbound

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management cites this paper.

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management The Cost of Training NLP Models: A Concise Overview

Reference 278

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:44:01.362620Z

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 a7282dea-01d8-43be-b4da-75b44a3a8ca7 · inbound

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models cites this paper.

Rec-Distill: An Industrial Distillation Pipeline for Large-Scale Recommendation Models The Cost of Training NLP Models: A Concise Overview

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:13:32.263241Z

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 10257109-a9df-4153-b93e-5099e51628d9 · inbound

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models cites this paper.

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models The Cost of Training NLP Models: A Concise Overview

Reference 142

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:27:29.573111Z

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 d304d835-8439-4c07-a847-ed9c62b28e30 · inbound

Data Provenance for Image Auto-Regressive Generation cites this paper.

Data Provenance for Image Auto-Regressive Generation The Cost of Training NLP Models: A Concise Overview

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:44:37.328290Z

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.