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Paper Citation Record · LEDGER

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2203.07259.

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

pith.paper-citation-record.v1
2203.07259 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:17:58.459309Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T06:34:01.028840Z

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 6226168c-6a08-4d79-a6b4-492d57de9818 · inbound

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs cites this paper.

Junk DNA Hypothesis: Pruning Small Pre-Trained Weights Irreversibly and Monotonically Impairs "Difficult" Downstream Tasks in LLMs The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:34:01.032445Z

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.

source=arxiv_source observed=2026-05-24T06:33:48.456209Z digest=sha256:3be69b31ba0c05ce83e25a89b0c71ad25e6477907fdd20bf378ae3666bb955ac

Observation e6e6223d-1b77-4d2a-9aac-03324add31f4 · inbound

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty cites this paper.

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:15:49.356462Z

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.

source=arxiv_source observed=2026-05-15T00:15:49.303458Z digest=sha256:620d7410ceb8e7f61546d20d8f5b6eac66330b436d7bb0148d842f9cf7da78e1

Observation b8f15d4d-240d-45a0-b419-51ff8fa59b4c · inbound

Scalable iterative pruning of large language and vision models using block coordinate descent cites this paper.

Scalable iterative pruning of large language and vision models using block coordinate descent The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T12:00:00.049894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:00:00.049894Z digest=sha256:38020373b498fc28dffb84d46598e626b711a326110b9a196801bdb64308ed7e

Observation a46df798-23c3-4dbe-a153-7dfaf4fb688a · inbound

HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs cites this paper.

HASSLE-free: A unified Framework for Sparse plus Low-Rank Matrix Decomposition for LLMs The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T17:26:45.362597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:26:45.362597Z digest=sha256:ea3360082395b2c4761c358c0fd7e47ef0ba03981fdc9d4e3bc84a7741d5fee6

Observation fcaebf1a-5306-4fd8-ad94-9dc109472f79 · inbound

DarwinLM: Evolutionary Structured Pruning of Large Language Models cites this paper.

DarwinLM: Evolutionary Structured Pruning of Large Language Models The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T11:39:09.502096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:39:09.502096Z digest=sha256:f073e64971cc0718ae382cab270abec872011be39e5e9511a46953c8059fd990

Observation bfc4e564-f8bc-44de-89d9-16f5790c9a7e · inbound

Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models cites this paper.

Efficient Shapley Value-based Non-Uniform Pruning of Large Language Models The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:17:58.459309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:17:58.459309Z digest=sha256:034bbf59f0f53ceda85584a8ed833f1ecb7a456ae3b75f2182dd58add09003c2

Observation 9a16a874-0005-47f3-94ae-98b9e092b88f · inbound

HessFormer: Hessians at Foundation Scale cites this paper.

HessFormer: Hessians at Foundation Scale The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.088585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.088585Z digest=sha256:30be9c0ddba9f3d9c4db20eaed3fd33de83a596e121e6dd0511d43f41dbed9b4

Observation 037adfac-1b6b-4651-a3f0-996dbbaf1ffc · inbound

Verifiable Unlearning on Edge cites this paper.

Verifiable Unlearning on Edge The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T23:03:15.433831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:03:15.433831Z digest=sha256:bc414487f3644b69e89eb421212610f65e9300aabe012221c1dc7379e812a1c3

Observation 3d797cb1-e33a-4b9f-96dc-1652136e8d05 · inbound

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference cites this paper.

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T17:12:33.850789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:12:33.850789Z digest=sha256:efbe879362bdb32a1e58d8d42dc1f83216bcd50d36a8fe8e8a65bdf55858af9e