Pith. sign in

Paper Citation Record · LEDGER

HessFormer: Hessians at Foundation Scale

As of 17 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 2026-08-17T06:30:58.91139+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:ead1b90569fa0357363d259a0a6c88adec03725ee56f2a8b5abbb77bb925bca6

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:d587f70eda47b4ab0fbde004af797c9455d5c5034a9686a58a22fa3d19a79582

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

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=sha256:9fddda5be972a5a1007a24fcdd35700c6a5a2c80c34fdbe6c929d2299fd1b22c

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

Resolution
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=sha256:9d5d59714fbf2442c4fd818c95c371480be8d06431e743e4051b81632661bf0e

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
unresolved
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:a066073c3476423a97b316d5bc548570cbf63ef6f1b55d5e3ba0afe5ef7a50d1

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=sha256:920d9e24376b14b9f835a4f81561bf07582dd3959e9b7f2e6abb67a98148ca4b

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=sha256:4809ee389e79384311999a16d8fc81d925dda18f62e9f76e7b894059820dc187

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

Resolution
unresolved
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=sha256:7e2bdfeff15c53d7bf9df5060404113435c7edf76779d828ae96f8b8f8461773

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:04:26.129547Z digest=sha256:ab87091d14269160f9e7d3c02bbf40a38d30ff481d2b4f1d4c6be3e5c3941684

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:04:26.102235Z digest=sha256:1a41d5877e10b180315d4e25d32995dcac25ad53fd4fc3811a28e87d802df114

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:04:26.105472Z digest=sha256:86765ae8f3c41667a0c4977c0537bc320ec701884a3ce8a7d8defb7f635dac50

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:f328ab2a4cc79d691f2d5370baee129b59ed2b20259a4c0b13b57e070c52b6b2

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

Resolution
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:c9eb1c6ced6e6adcbfbcde5f13665ee8a0660f5494e70dd3b979b2c1f216f787

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:c0e6c30f16bda74d26a4771f7305f7b412be950bbaf53b471397463dea50f0c2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:04:26.085440Z digest=sha256:81fdfecee3c7a4ec37c7006fc85cba277c3050743dcd7da754a58fc8a1399319

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

Resolution
unresolved
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=sha256:50f109212882ffe863fba90c3a204dd61dd7a4582a663aace7c00d0b7a5324b8

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

Resolution
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=sha256:85e60958dcffc51a291357d8487d031094428e80e9d05e2233071bde942a135a

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

Resolution
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=sha256:3896cc29ab58be8d240627cb1a3a14dd052ab280a4d586a2da6d8a5aa9fdc927

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

Resolution
unresolved
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=sha256:1fad527276ea3bc226a62bf5cb06396ed9442a72094f378ef24e4e9ff29c3675

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:04:26.082491Z digest=sha256:15ef231a526db07a1475f4b14468001e1d1f93dc5f45573608165e146e1c6331

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=sha256:4ed6c71665717d986a5461a62b2671d0f423c2051b1bc852269f747e3e5c5319

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

Resolution
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=sha256:82044c0eda0dabeae94095f8a2a740b0a96a9146544d14bcddab82969e04d9c0