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Paper Citation Record · LEDGER

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator

As of 23 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2507.18807.

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

pith.paper-citation-record.v1
2507.18807 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:15:01.382444Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:21:53.393381Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:56:28.460650Z

Reference resolution

66 of 66 outbound references displayed

  • verified exact0
  • verified fuzzy30
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5579f870-7696-4b3f-ada9-50ceab7cf09e · outbound

This paper cites C., Soatto, S., and Perona, P.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator C., Soatto, S., and Perona, P

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.046375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.046375Z digest=sha256:26fdb3f66dc11fd02b50f6ea487b493d3d4087219ac7bdf8decd4994ba631506

Observation 1228c7ad-9c30-441b-a577-4113473c457d · outbound

This paper cites Natural gradient works efficiently in learning.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Natural gradient works efficiently in learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.572958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.053136Z digest=sha256:f3dedeae2954626fcc4127e357c16bb32a85db88278e8f0d65671b8355532b90

Observation 593a7da1-3b64-4aad-9ef3-bca009927f6e · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:02.553114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.058326Z digest=sha256:afb478efd9bfb21ed56bdf2a348110543c90a3e3b3a7101b5eb58926851bf7d8

Observation b4c1eae6-94ef-4d7c-8df7-fd7ef0661857 · outbound

This paper cites B ack PACK : Packing more into backprop.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator B ack PACK : Packing more into backprop

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.532633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.063063Z digest=sha256:e9be733afd21022adb2d7cc0f0bbc3a8491343f14ddafae805fb0525d463c0e6

Observation a7c75588-4b57-4a24-88f5-ce9eefeea9da · outbound

This paper cites N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., and Bengio, Y.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S., and Bengio, Y

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.490322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.068172Z digest=sha256:c4bd50e50cb6ceb51183ce333ea61aacdeb21af0e14d7c7e24e07d999bc54b85

Observation 20b5ec84-1cb5-4de3-a8ee-857cdcbc911f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.458015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.073905Z digest=sha256:f60bbfaf4fe9d9e8de9916b8258189dacfcb5a5725cf6ada22b4584ab7c0d9c1

Observation 7b6a5e18-074b-4737-9908-b710f6391210 · outbound

This paper cites Incorporating nesterov momentum into adam, 2016.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Incorporating nesterov momentum into adam, 2016

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.436522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.079362Z digest=sha256:ab02137f51451e61fd78c617931223d40b3bb132c5ea1256056816917e818a47

Observation 7c2f724a-80f7-47d3-8c26-c4a658731d0d · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:02.416482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.083526Z digest=sha256:3219127712d568083e1fcc3ffe6038ee9f93a901235207d252e3683d13a87ade

Observation ee750cd3-12b0-4caf-b578-99f6697106f6 · outbound

This paper cites Arcee's MergeKit: A Toolkit for Merging Large Language Models.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Arcee's MergeKit: A Toolkit for Merging Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.087873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.087873Z digest=sha256:c90fbb076c84b0188e706d84cebb05b888af86bf7a6f07a8fd7e764e084c1cae

Observation 2804ee44-c504-4357-b1b9-0add4bd47111 · outbound

This paper cites AdaFisher: Adaptive Second Order Optimization via Fisher Information.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator AdaFisher: Adaptive Second Order Optimization via Fisher Information

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.092059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.092059Z digest=sha256:dad78d1bb2f7297ca0db40bda75b14e6173c6ec0034905a9b4072fb6a6f07e41

Observation a0720482-97ce-4a3f-b3c1-429c914e9127 · outbound

This paper cites and Stork, D.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator and Stork, D

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.096911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.096911Z digest=sha256:f3477ad3fcaadd4b279eb62ae1e7391ff6e4ba56d14b944574f90cd857aac5ae

Observation d8ae452f-bc95-46ac-8ea0-259ab91f9903 · outbound

This paper cites J., Han, D., Yun, S., Kim, G., Uh, Y., and Ha, J.-W.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator J., Han, D., Yun, S., Kim, G., Uh, Y., and Ha, J.-W

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.387656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.102670Z digest=sha256:2d31af373fec8d7800a131e6c209e2b036b652aa8d7cde97e2c2c5af2ff4a8c1

Observation e1bd8e33-7b19-4a56-87bf-08f518dbfdba · outbound

This paper cites FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.106616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.106616Z digest=sha256:b828cbe2bf6e17dd3a45494858c8b9c00cbdbc6bc59e912bed4ec23e4dc273fc

Observation 41769275-9bc7-4b42-837b-b921bc30047a · outbound

This paper cites Editing Models with Task Arithmetic.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Editing Models with Task Arithmetic

Reference 14

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unresolved
no resolver link, observed 2026-08-15T18:15:01.113045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.113045Z digest=sha256:2f7ed448deb7467caff7f190a7ace71cdc71f08860b15d804c338f2bb7aa0351

Observation d2e6cbbd-3d5b-4ed8-b84c-2a686cb45630 · outbound

This paper cites and Osawa, K.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator and Osawa, K

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.369716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.118315Z digest=sha256:60447c03ff28c862faecd36b2f81c35d094d705f9d9797ab969883093905fd0a

Observation cb4d5443-a3ee-49e5-82be-c3813b8f5714 · outbound

This paper cites Universal statistics of fisher information in deep neural networks: Mean field approach.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Universal statistics of fisher information in deep neural networks: Mean field approach

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.355517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.122694Z digest=sha256:e82e695a4eca4ea2cbb2e41c6eadadaab9ff80efbfa61836b6ef5511db7ad6a6

Observation 078e0133-481e-4b48-866b-d67e31d9fa6a · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Adam: A Method for Stochastic Optimization

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.127103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.127103Z digest=sha256:0e8e29faca11646af75cb7fb9c19ce8b54d589b7bd92e35f3a9d16eb12aaabdd

Observation c5418969-00f1-4fa9-8c48-f1db90d19df3 · outbound

This paper cites A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., et al

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.131440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.131440Z digest=sha256:7e13a07b68c7163defcb9ce5c62be22f21512084e6d089ca6292ed2cd91615bc

Observation cfd96adf-4f51-4d18-8b85-72177cbda788 · outbound

This paper cites Learning multiple layers of features from tiny images.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Learning multiple layers of features from tiny images

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.135674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.135674Z digest=sha256:e56b835af8a254bb162119fb73a1b8b69016d73f1a2de94a2a9b1b0a26eb91c0

Observation f6ae41e1-2cb1-4a7f-a69c-f469ba1d7543 · outbound

This paper cites Learning multiple layers of features from tiny images.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Learning multiple layers of features from tiny images

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.139611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.139611Z digest=sha256:25ce5cedf1a86bd3502f4fe6927435128e43be2ecf58d807378b4c5bc90d1d05

Observation 3b78237c-c597-4108-a4a3-79abf0a7121f · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Limitations of the empirical fisher approximation for natural gradient descent

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.295521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.143483Z digest=sha256:a7a1fb136e3d573de7c1e43e5f3ada167dd84dfadd362e47fc9ee88ae1ddf8a1

Observation e5f78108-21f1-4ca4-9046-2840d4fe63bb · outbound

This paper cites Optimal brain damage.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Optimal brain damage

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.147425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.147425Z digest=sha256:753fe9eed8390c72f005755e0ae7d8faa46906382314d23588b90b60d8c5222c

Observation 8f927d77-b81a-47fd-930f-cac1b5db85d3 · outbound

This paper cites B., and M \"u ller, K.-R.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator B., and M \"u ller, K.-R

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.151303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.151303Z digest=sha256:7ff671edf0d1a47a2593b8ebab54d0f043fdae7bf25cee0fd138402e2179ed0a

Observation 5f48680e-acbe-422f-9630-3fcca00fc199 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.155407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.155407Z digest=sha256:b977d2124562ad66c4d1f1114bb296725146fe0c41aaf6d11a7d451c9066c55f

Observation 39e29a11-1ff9-4406-8b2d-89ea4372838d · outbound

This paper cites E., and Makhzani, A.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator E., and Makhzani, A

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.256686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.159823Z digest=sha256:060a926f5a48773580075d3f1693746181544dd28ca2c35c48f5039b0ac09872

Observation 524eaa33-2ec0-42f0-bf86-596490027f59 · outbound

This paper cites On the variance of the adaptive learning rate and beyond.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator On the variance of the adaptive learning rate and beyond

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.242851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.163478Z digest=sha256:04ca2f960a98f635a6c02f5a947ebd9e563c35d097582fea4538d86937ce70bc

Observation aca63567-e5d5-4446-86c8-a31d37bb43e0 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.168256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.168256Z digest=sha256:3c55101060f6fccd820a5821eb4630ba2407ab071e76cd132e8f89c46f63699d

Observation 63e0b4d0-3578-4e0e-8125-10e8fa93e3dc · outbound

This paper cites Decoupled Weight Decay Regularization.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Decoupled Weight Decay Regularization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.173014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.173014Z digest=sha256:556577cd6dfc6093b7dc0c078eaee4f90b9917059dbf523cbf76e80077e4725a

Observation a640d477-8f80-40a4-a500-85d9c868b8c2 · outbound

This paper cites OrthoReg: Robust Network Pruning Using Orthonormality Regularization.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator OrthoReg: Robust Network Pruning Using Orthonormality Regularization

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T18:15:01.578040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.178532Z digest=sha256:a51d7ddf86f5d1302422c2ab6d0e49e3f8cd7a875d94029711816cd2f1a06de2

Observation 33fa4c6f-f590-4844-a16c-70f304c6eb0e · outbound

This paper cites P., and Wagenmakers, E.-J.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator P., and Wagenmakers, E.-J

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.228304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.183762Z digest=sha256:7cbbfe0cba139336c8d6c778ecd10f6095851dc7d310d3dcd46281ebf891e229

Observation 8f68191b-85ee-4b28-a46b-4ac6995a7169 · outbound

This paper cites and Yarats, D.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator and Yarats, D

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.213730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.188454Z digest=sha256:157d76ae19d1756c7afdc1d65ea1349ec7abc5fffb9a2c887307b01ad65f3068

Observation c5c0b708-1762-4abc-992d-6a2e5233c429 · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.201791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.201791Z digest=sha256:d145d87af8fac0281b66eebcc370cc1c9c92c21bae3919c04f96acc34b80f803

Observation de36313d-9d6b-45e8-b505-d3445132c372 · outbound

This paper cites New insights and perspectives on the natural gradient method, 2020.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator New insights and perspectives on the natural gradient method, 2020

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.207085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.207085Z digest=sha256:1b1249a04aec4b79afa959cd18bf42974ef321341710e04e92cde854c52bcd09

Observation d3ca70e9-24e4-47ad-983d-01c29f3439ab · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:02.181747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.211357Z digest=sha256:9857c3ffb1b98093561f082226c12cc322253805db747eb6b110c6981d92b051

Observation 6f7fffa3-63a6-4098-acce-2d1e3d0ba7b9 · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:02.162907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.216402Z digest=sha256:76fcd5800d1d6279f8f2fef949d240830cff0c47864de8e745f54fdf7d133490

Observation a7664123-991d-49d5-89ad-e2e17bb1c5f5 · outbound

This paper cites Asdl: A unified interface for gradient preconditioning in pytorch, 2023.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Asdl: A unified interface for gradient preconditioning in pytorch, 2023

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.222258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.222258Z digest=sha256:6758fdd0241f073ec903d048980fabb8f25da77e619ab6cb4d64f5e697229c64

Observation a43ae48d-5f11-4a13-9de5-fca7874a2a52 · outbound

This paper cites Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.226674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.226674Z digest=sha256:50632596c1dcba68fee948909d5d46c400f78c57011c9fc093dafee9a0b4e225

Observation 92b623c9-3826-4d97-9b98-efdcdecf8846 · outbound

This paper cites Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.231505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.231505Z digest=sha256:5409dab9df67ee7ff57a742a087f752bef930eee10b34a53df2ce88274fe35dc

Observation 3c4b0265-2732-4f0f-af47-01991990e86a · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:02.135637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.236616Z digest=sha256:c4d3afd2e7644656b2eaac7327f7240018618d5a45c9606b6b3d23ddf11404f5

Observation ceffe48a-6975-4ef2-bd09-d259b4cf5dce · outbound

This paper cites J., Kale, S., and Kumar, S.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator J., Kale, S., and Kumar, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.116269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.240996Z digest=sha256:14d5a5c37729642bc9899763fd0b9ff222eef6a76409518c193a7a18e094ffc7

Observation d1452242-1322-4882-8587-d52e734dafb7 · outbound

This paper cites and Monro, S.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator and Monro, S

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.100706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.246155Z digest=sha256:c0e0058164265c93db2fa4d4b199787f7dd2089cf2cc101e89cee97bfb8e2d51

Observation ff3f2b53-ae9a-48c1-b8e7-9bed397afdce · outbound

This paper cites Control chart tests based on geometric moving averages.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Control chart tests based on geometric moving averages

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.072441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.250137Z digest=sha256:101226108c9233a90a9d8375b0becf9f716cba5a94d50dc71a4f3c6e0834dc1f

Observation d658a76d-e9c5-48a9-9f32-588a6241eba0 · outbound

This paper cites and Eaton, E.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator and Eaton, E

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.054155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.255702Z digest=sha256:f4bd287ba5623a04c8765cdf43dba10a9b1044dfbad9b980646a388ff69ab341

Observation 9b90a211-697b-4b57-b096-c75d0a6eabc4 · outbound

This paper cites Ill-conditioning in neural network training problems.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Ill-conditioning in neural network training problems

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.041229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.259822Z digest=sha256:a8994d4d306dddccbfc535556554e6e0aed6bfaef3e99018c3177747cb981afa

Observation a42457b9-f4b0-49ab-8b76-a868f4b69369 · outbound

This paper cites M., Schneider, F., and Hennig, P.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator M., Schneider, F., and Hennig, P

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.263228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.263228Z digest=sha256:a2f23eff083babe4e06833954804658a0c2275d3be0fa128cb03c92f1e746a55

Observation 1320f3d7-689f-4b8d-ab9e-d3dedeb1db39 · outbound

This paper cites Variational Learning is Effective for Large Deep Networks.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Variational Learning is Effective for Large Deep Networks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.267241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.267241Z digest=sha256:334d4465fca26f8aa569a8e3ad2d487f246bb8a99bd20d98e45315bf89eb0bf2

Observation 69dff48b-b46b-4507-9c8e-8b1e1bfd0a22 · outbound

This paper cites K., Kim, J., and Kim, J.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator K., Kim, J., and Kim, J

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:02.018772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.275958Z digest=sha256:64f1a69181a8c5c4fca438d56c8e7fa049de29a654dc413fb4f7987bc32d52cb

Observation 8fdfd145-c500-46ca-8425-5f88634d9783 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.280027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.280027Z digest=sha256:3828fe44e5c38e85bea0ef7f0b3dee306437c0455385da99ea99d4aebaf3f88b

Observation a90678be-569b-4c74-9358-ad7461e859ea · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:02.005055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.285423Z digest=sha256:d372b58d9080ddad8589bc519d025ce714d83d03d08f04649f2a47c221935579

Observation d2ee8911-2166-4fb0-ab23-237b03c79883 · outbound

This paper cites Training neural networks with fixed sparse masks.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Training neural networks with fixed sparse masks

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.991378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.294756Z digest=sha256:27fbb9ce8a88556fffb45b3570bd7b35fdcd168332aeed1a0a6079ad95c74af0

Observation c864ead3-8e0b-4118-9f31-1d00e6b118ab · outbound

This paper cites Merging by matching models in task parameter subspaces.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Merging by matching models in task parameter subspaces

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.977045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.300416Z digest=sha256:c3c9253005273867b6d9ef0c0afdfe4c5843235bcb9c4b35a05665373cbd67d1

Observation 57029780-8e15-4db1-bff7-db6f016826bb · outbound

This paper cites Faster gaze prediction with dense networks and Fisher pruning.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Faster gaze prediction with dense networks and Fisher pruning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.306327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.306327Z digest=sha256:2a7b086e5c921d86ae234f86999a4a4b1dfdf5482ec574421bbdde2f783f1bc7

Observation 72246857-7503-4ac4-bba2-2a42d2074ba3 · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:01.960584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.315297Z digest=sha256:bb310ce2b692c75c641c477f671f945ef6ef06063ec4e6c83cc7f9ad96f58aa2

Observation d7f5c985-6cb8-4038-bc55-03f36ec0e433 · outbound

This paper cites and Hinton, G.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator and Hinton, G

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.938665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.320547Z digest=sha256:e736ff42e79c3586efa131ef768efbaaabc5dfb9258bc2660e90b716bfa42874

Observation 442be175-733f-4794-b451-bc5ade074d21 · outbound

This paper cites Weight averaging for neural networks and local resampling schemes.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Weight averaging for neural networks and local resampling schemes

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.924359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.325876Z digest=sha256:1253bf15bfc3375b689cdca9e112442a4c085cf42d68b1832ef608167119b281

Observation 0d51ba92-f1d7-4a2f-8f5d-4cbb5ea8136a · outbound

This paper cites an unresolved cited work.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:15:01.909797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.330598Z digest=sha256:f543a917b9bf1dd1d2270c7c8d389336f3047f1460ecfc135760e52cd36ddf64

Observation d5d71e76-1071-4cfb-8189-d5f55c900443 · outbound

This paper cites M., Tice, D.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator M., Tice, D

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.896456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.336701Z digest=sha256:0ecc1ff55240bd661e01d2a5776a5ba4c35ac28676299283c68db26f1f40e21b

Observation d32d9398-e6ca-4968-b39f-3a3ee4cc404e · outbound

This paper cites Exploring and Predicting Transferability across NLP Tasks.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Exploring and Predicting Transferability across NLP Tasks

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.341209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.341209Z digest=sha256:d7d3de06158e4e3e5003f3592dcd72b286627be6217cd18fe817f258407e3b7d

Observation 151ce0ef-7bf9-4b81-abed-b58b0df72946 · outbound

This paper cites Glue: A multi-task benchmark and analysis platform for natural language understanding.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Glue: A multi-task benchmark and analysis platform for natural language understanding

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.865744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.347053Z digest=sha256:5e6eebe49a726775f5fbffc5a127991ead13704a645a537b3be245a6b6fec1de

Observation 1bb09116-491b-4c42-8b65-b5032fa9b113 · outbound

This paper cites Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.845384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.351741Z digest=sha256:a67482d17af4ea5984e7501194eecc4660493aca96a42081b14be8a6e0b711e1

Observation 0b1a66e5-15ee-4dc9-8565-2f1562865dbe · outbound

This paper cites Ties-merging: Resolving interference when merging models.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Ties-merging: Resolving interference when merging models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.831345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.357162Z digest=sha256:87511f3fd9c6cb80b18656c6d5b580c956f5c2b0faa0afe2d0df77420e492151

Observation 9862cb8d-59fd-4dbf-aa89-3763b69b7ff4 · outbound

This paper cites Large batch optimization for deep learning: Training bert in 76 minutes.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Large batch optimization for deep learning: Training bert in 76 minutes

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.813931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.362431Z digest=sha256:3951a8fa0fc033ca64ae2b7c123d6e6da073ffe664a9fd32b657c0084341ddec

Observation d188d783-b950-4f7d-9fcb-13f78f41b557 · outbound

This paper cites ADADELTA: An Adaptive Learning Rate Method.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator ADADELTA: An Adaptive Learning Rate Method

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.368247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.368247Z digest=sha256:a14fbb780bac828fa33f15e79332777687ca3bed5544fccbbbe5785877e68be7

Observation 0b7ebcac-9c74-4ab4-b19f-2628793a4ef2 · outbound

This paper cites Continual learning through synaptic intelligence, 2017.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Continual learning through synaptic intelligence, 2017

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.796004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.373125Z digest=sha256:82bd0668bd4a8b0c8667ada44065308e0f9d6992105be411cadc964268c26a7a

Observation 0702a1a8-8d9a-499f-b4f8-85b291558182 · outbound

This paper cites Not all tasks are born equal: Understanding zero-shot generalization.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator Not all tasks are born equal: Understanding zero-shot generalization

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:15:01.780772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T18:15:01.377966Z digest=sha256:61e8823c466a499df6121a82fe857043afd26473f40e541ee49f3da5217a4a73

Observation 6bc1d7e3-9edb-4b91-9711-20bd59661832 · outbound

This paper cites write newline.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator write newline

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T18:15:01.382444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:15:01.382444Z digest=sha256:4a40fb270d545bdab024f7d8ab04586f1d9889696ac61054d1de341516f1f06a

Pith citing papers

Observation f2737304-9b7a-4f0e-8263-ad022b564db6 · inbound

MAdam: Metric-Aware Multi-Objective Adam cites this paper.

MAdam: Metric-Aware Multi-Objective Adam Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:56:28.462907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T11:21:53.393381Z digest=sha256:6ea1c4a60f9f5aebdb75d7c4d91a5b8d50280e9f3ede6a655e786e73c2284485