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Paper Citation Record · LEDGER

HessFormer: Hessians at Foundation Scale

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2505.11564.

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

pith.paper-citation-record.v1
2505.11564 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:04:26.129547Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:58:11.644953Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved15
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2726aa6f-a886-4613-a330-8ba462566262 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

HessFormer: Hessians at Foundation Scale Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.056401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.056401Z digest=sha256:3e2ef47cbf4bd7bc74f393863cfc5b176794426d28be1fdd3a9f3f183408d8f9

Observation 295bdc2e-cd55-4200-8658-b8901b72cc17 · outbound

This paper cites Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Sijia Liu, Bharat Runwal, James Diffender- fer, and Bhavya Kailkhura.

HessFormer: Hessians at Foundation Scale Jinghan Jia, Yihua Zhang, Yimeng Zhang, Jiancheng Liu, Sijia Liu, Bharat Runwal, James Diffender- fer, and Bhavya Kailkhura

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.079375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.079375Z digest=sha256:57527ce877b79fdac264106e8a51d855025113ff78a0b118c33412256cc95159

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

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

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

Reference 11

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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=sha256:8c8f3ec76c948f183ade91757471b11c0f1f2056b71b3d65ab3f8684e401580b

Observation 53b5ac0a-c32a-4cdf-9c2f-5000aebe686b · outbound

This paper cites Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training.

HessFormer: Hessians at Foundation Scale Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

Reference 12

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unresolved
no resolver link, observed 2026-08-15T21:04:26.092494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.092494Z digest=sha256:95dde670f97d031338b1d316fa7aeba16dbeb48d6217513b4115ab3609da5908

Observation e6588c58-514a-4404-ba36-2f35cc6ce222 · outbound

This paper cites WoodFisher: Efficient Second-Order Approximation for Neural Network Compression.

HessFormer: Hessians at Foundation Scale WoodFisher: Efficient Second-Order Approximation for Neural Network Compression

Reference 17

Resolution
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no resolver link, observed 2026-08-15T21:04:26.109264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.109264Z digest=sha256:a01fb6b7a46ad8715cd361f4dfd81a22f000a515aa71813918b8fcbfc6064f94

Observation 62f32562-af6b-44a0-b716-d45bb1006317 · outbound

This paper cites On the Power-Law Hessian Spectrums in Deep Learning.

HessFormer: Hessians at Foundation Scale On the Power-Law Hessian Spectrums in Deep Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.112593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.112593Z digest=sha256:f30cc412eaf8ccd94a434958a86a43dca0232ca569813a75076f5110ef38b53e

Observation 4d8cabf4-5895-4812-b107-b954afe45f7e · outbound

This paper cites CogView: Mastering Text-to-Image Generation via Transformers.

HessFormer: Hessians at Foundation Scale CogView: Mastering Text-to-Image Generation via Transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.116451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.116451Z digest=sha256:11efc4d24b951c25c6c91e54b5598e450b90f87c20ceafd2508936688d51c7ce

Observation 97d7ae8f-f41b-4294-b52f-95c0abf6a7b0 · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

HessFormer: Hessians at Foundation Scale ADADELTA: An Adaptive Learning Rate Method

Reference 20

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no resolver link, observed 2026-08-15T21:04:26.120604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.120604Z digest=sha256:342d75fed821a69b97235f4cf64cdf6c294ca5a6972fd065b136cc83a2c3080c

Observation 98c41a0e-6d70-4b90-8454-0cafba25f24d · outbound

This paper cites Giant lattice softening at a Lifshitz transition in Sr$_{2}$RuO$_{4}$.

HessFormer: Hessians at Foundation Scale Giant lattice softening at a Lifshitz transition in Sr$_{2}$RuO$_{4}$

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:04:26.176714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:04:26.129547Z digest=sha256:a8aaf920acd2fc2b547272c3e3e35764eb93f17c2d8891842b44b14da76d715d

Observation 977400e8-fc1f-43da-870a-70458eb42444 · outbound

This paper cites Barak A Pearlmutter.

HessFormer: Hessians at Foundation Scale Barak A Pearlmutter

Reference 1976

Resolution
verified exact
doi, observed 2026-08-15T21:04:26.156293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:04:26.102235Z digest=sha256:d6c67ddcc1ffa43095c98f0343640a662ad82b48ef8aabea02b4f1c7562d62c1

Observation abc9949f-259d-4c56-bd4d-112e2b2da51f · outbound

This paper cites A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization.

HessFormer: Hessians at Foundation Scale A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization

Reference 1994

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:04:26.231594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:04:26.105472Z digest=sha256:d5c4c5afca9a1bef219d1592e8f9c1d4f68dde29c45968f2c059ce9d2e0886dc

Observation 866be822-46ae-4a27-9935-8f92b49b2fc4 · outbound

This paper cites doi: 10.1137/1.

HessFormer: Hessians at Foundation Scale doi: 10.1137/1

Reference 2002

Resolution
malformed identifier
no resolver link, observed 2026-08-15T21:04:26.076666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.076666Z digest=sha256:912cf3d90a8692061d1579d64cd19ad8c6d0717e577aeca339faedf3779fd23c

Observation 62e69c9d-9396-40d6-8fbc-02af61eba6ff · outbound

This paper cites Pointer Sentinel Mixture Models.

HessFormer: Hessians at Foundation Scale Pointer Sentinel Mixture Models

Reference 2010

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unresolved
no resolver link, observed 2026-08-15T21:04:26.095654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.095654Z digest=sha256:9a3826665aa453e10f551546ec83c61395ecf91f8b295862543a4375cc119245

Observation ce04f599-28d6-4525-8444-9e659299d2cb · outbound

This paper cites Why Transformers Need Adam: A Hessian Perspective.

HessFormer: Hessians at Foundation Scale Why Transformers Need Adam: A Hessian Perspective

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.123819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.123819Z digest=sha256:d0f6a7228278b03845c569b823c5ee8a0803eefcbec44d741cb8077a4005b2bc

Observation bfee5b5a-403f-4b11-8f76-1bf5271629fd · outbound

This paper cites The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models.

HessFormer: Hessians at Foundation Scale The optimal BERT surgeon: Scalable and accurate second-order pruning for large language models

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:04:26.398811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:04:26.085440Z digest=sha256:4d2cebed49571c37b24a1685ee4c1aa2b1f2888b60d11b0ad834f4504ae0ab6a

Observation 0229cfd9-2fae-4d19-b129-c8846cb3e2f4 · outbound

This paper cites What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis.

HessFormer: Hessians at Foundation Scale What Does It Mean to Be a Transformer? Insights from a Theoretical Hessian Analysis

Reference 2020

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no resolver link, observed 2026-08-15T21:04:26.099029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.099029Z digest=sha256:d266c43ae7224225a5efff7e9f394d3afac106a1a4b0737235acffe053f48588

Observation 840e1138-5293-4d12-9205-1eecc1f7ad69 · outbound

This paper cites Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability.

HessFormer: Hessians at Foundation Scale Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Reference 2021

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unresolved
no resolver link, observed 2026-08-15T21:04:26.060684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.060684Z digest=sha256:84f51a70d3cd444142c4c3882a9ee21d63812cda10c8468b2d99f13e2d5c3996

Observation bbcee94d-3fce-490b-9c0d-6408fbbdeb3f · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

HessFormer: Hessians at Foundation Scale The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 2022

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unresolved
no resolver link, observed 2026-08-15T21:04:26.067827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.067827Z digest=sha256:8fb87cf8a9af7835e49ffbd80ed1aed5aafeddd2b9beb79362d6306b92471d59

Observation b647785f-d4a8-4c29-b13e-237c044bd2f9 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

HessFormer: Hessians at Foundation Scale Studying Large Language Model Generalization with Influence Functions

Reference 2023

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no resolver link, observed 2026-08-15T21:04:26.073777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.073777Z digest=sha256:1aba6509de6fb43163b407bfa1114426d8f5f5a24513c7e4b9eab02dc4c1f0e5

Observation d8644a62-1bce-451b-a880-f1713edc54a3 · outbound

This paper cites Pang Wei Koh and Percy Liang.

HessFormer: Hessians at Foundation Scale Pang Wei Koh and Percy Liang

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:04:26.407495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T21:04:26.082491Z digest=sha256:6ecc271fdd9716ac306fd3a088d19d2e4bbef3d6ba8cff98de0cc960d26839bb

Observation b72a53c9-618b-4119-a5eb-0c0f9a2fc794 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

HessFormer: Hessians at Foundation Scale DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T21:04:26.064151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:04:26.064151Z digest=sha256:5a22592d6cd48cd1beb3a064c80396ccc6c6e5ef0cef8db20e0e1c3d3e6ed009

Pith citing papers

Observation 26d78812-8b67-46c9-b3e8-dead112236b6 · inbound

A Defense of the Quadratic Model cites this paper.

A Defense of the Quadratic Model HessFormer: Hessians at Foundation Scale

Reference 2025

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unresolved
no resolver link, observed 2026-08-01T06:58:11.644953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:58:11.644953Z digest=sha256:21edbbf70f6b04db8d08c6c4e77ac9989e9e74f1a3fb994961bf69e1dbbc24b1