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Paper Citation Record · LEDGER

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization

As of 13 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.14055.

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

pith.paper-citation-record.v1
2411.14055 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:40:10.825780Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 764e1aa9-8017-473e-b1da-cf59d354df1e · outbound

This paper cites Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T15:40:10.794337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:40:10.794337Z digest=sha256:074ff7b72132cbe6450a57882b621fe00c481a9583bd13157ae8ebe57f427124

Observation 50353367-9da6-44ae-b25c-34140fb3e5ea · outbound

This paper cites Stephanie Lin, Jacob Hilton, and Owain Evans.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Stephanie Lin, Jacob Hilton, and Owain Evans

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:10.972973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.799635Z digest=sha256:124c1bccdda97a54aa2cbd594181b99aca1cae57fc68b12de3ac95067a5add53

Observation 10aa3c3d-07e6-47d2-8e09-b20c9d13ab6f · outbound

This paper cites In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 13865–13881, Miami, Florida, USA.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 13865–13881, Miami, Florida, USA

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:10.958839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.803812Z digest=sha256:75d25aa1a8fad3aacc2198d4461c8d0327e17d5d67cd2f0878d7a6971049c41d

Observation d403af2a-32f8-40e0-adf2-95f98b2a7e8f · outbound

This paper cites Pranav Rajpurkar, Robin Jia, and Percy Liang.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Pranav Rajpurkar, Robin Jia, and Percy Liang

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:10.929605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.812120Z digest=sha256:e269af61b934a270c19818896186b9bc368631ce0feff0d23c4338959717d4ed

Observation 1df3b842-e337-435b-89aa-e96454d40918 · outbound

This paper cites In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:10.898860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.820397Z digest=sha256:9a250b4335e60f520242886dac591643ce090885ba92fed43f6b129653907023

Observation e9181025-bd97-4dfb-afb9-0f71515c4a7c · outbound

This paper cites You are a helpful assistant. Write a response that appropriately completes the request.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization You are a helpful assistant. Write a response that appropriately completes the request

Reference 13

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T15:40:10.882608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.825780Z digest=sha256:d46017158d79a4ba5ab912bcd8be1723036d454b702806b70a3781286e85561e

Observation f7c04894-f7b7-44f1-9988-1de13da333ff · outbound

This paper cites Ning Bian, Xianpei Han, Le Sun, Hongyu Lin, Yao- jie Lu, Ben He, Shanshan Jiang, and Bin Dong.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Ning Bian, Xianpei Han, Le Sun, Hongyu Lin, Yao- jie Lu, Ben He, Shanshan Jiang, and Bin Dong

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:11.059994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.768199Z digest=sha256:3ad34c1aadb5f6083bd098dd38e582ac49a550da518a7b6178ce2a158ff1590b

Observation 8d63e8e1-2aa3-457b-ba11-01ea132d3859 · outbound

This paper cites In Proceedings of the 2016 Conference on Empiri- cal Methods in Natural Language Processing, pages 1119–1130, Austin, Texas.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization In Proceedings of the 2016 Conference on Empiri- cal Methods in Natural Language Processing, pages 1119–1130, Austin, Texas

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:11.005931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.782492Z digest=sha256:c869bb0866bbea20d7042ff2e44cb519985df78cf60967eeab26a2393cee6fcc

Observation 76ab9e8a-d692-4e9a-b7c0-620f1bda3764 · outbound

This paper cites In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization In 6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:10.944373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.808154Z digest=sha256:6909c3833ca133f62e02ceed276b03b13afd39f37324d50e3c784c853374f713

Observation 05f56763-dc37-4e79-9665-cf022d5e4b72 · outbound

This paper cites an unresolved cited work.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:40:10.986840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.788754Z digest=sha256:70304f749e47789b5f5105926705e28cb9fbefee34f9490bb1ef83ed61e3fae9

Observation ed63f5d8-fd56-4f28-95cf-dfa21e4c4322 · outbound

This paper cites an unresolved cited work.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:40:11.044569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.772988Z digest=sha256:fd0394eea4523e89bdf3cbffe7d5f03989c10b58dc8631ece33487e5c1a915c9

Observation 2db0237a-f918-4f68-9479-ad9d52e3a1be · outbound

This paper cites Su Lin Blodgett, Lisa Green, and Brendan O’Connor.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Su Lin Blodgett, Lisa Green, and Brendan O’Connor

Reference 7439

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:11.024554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.777438Z digest=sha256:f1204cee0bc8058076bfb80bd534013a08a8979c2c50ec1ba8a6143d0a0423cd

Observation d2e98b70-a1e4-4cfb-aa9c-7bd497e25727 · outbound

This paper cites Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Sobol- eva, and Eric Xing.

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Sobol- eva, and Eric Xing

Reference 8740

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:40:10.915529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T15:40:10.816355Z digest=sha256:308f9592695706aa2af3dadbed2c99c317eb643cb91773539ea5d478caa6a44f

Pith citing papers

No inbound Pith citation observations are available.