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Paper Citation Record · LEDGER

LossVal: Efficient Data Valuation for Neural Networks

As of 14 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 1 inbound Pith citation observation for arXiv:2412.04158.

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

pith.paper-citation-record.v1
2412.04158 v2

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:47:36.615134Z

measured 95 of 95 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:41:16.683001Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:41:17.549043Z

Reference resolution

94 of 94 outbound references displayed

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  • verified fuzzy37
  • unresolved45
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd3457d1-7c27-4862-ab2b-85eb78f84e0f · outbound

This paper cites write newline.

LossVal: Efficient Data Valuation for Neural Networks write newline

Reference 1

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Observation c064c84a-e832-43a4-a9c8-9c503bcc31bb · outbound

This paper cites A Marketplace for Data : An Algorithmic Solution.

LossVal: Efficient Data Valuation for Neural Networks A Marketplace for Data : An Algorithmic Solution

Reference 2

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source=arxiv_source observed=2026-08-11T21:47:36.180020Z digest=sha256:820f4c822933f2c068487a993669dd3c06756397a712c3a74eb481cccbdc3269

Observation 08bbb639-466c-4715-94b9-544cb3f2ba16 · outbound

This paper cites Explaining Recurrent Neural Network Predictions in Sentiment Analysis , 2017.

LossVal: Efficient Data Valuation for Neural Networks Explaining Recurrent Neural Network Predictions in Sentiment Analysis , 2017

Reference 3

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 4

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Observation c27db2fa-57a6-4e8b-b394-0aac24e23fd8 · outbound

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 5

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Observation 07505139-8c9b-4cbb-b6bd-7a23a3f45ffa · outbound

This paper cites K., Rabus, M., and Krestel, R.

LossVal: Efficient Data Valuation for Neural Networks K., Rabus, M., and Krestel, R

Reference 6

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Observation 2fcb97d6-ff39-49c1-80ce-634f32e25713 · outbound

This paper cites K., Mekki, D.

LossVal: Efficient Data Valuation for Neural Networks K., Mekki, D

Reference 7

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Observation b031ad83-1f1b-4786-9dd0-b8757990d852 · outbound

This paper cites H., Olshen, R.

LossVal: Efficient Data Valuation for Neural Networks H., Olshen, R

Reference 8

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Observation 128b16ca-5800-4da2-9f25-e38409a64502 · outbound

This paper cites The Effects of Data Quality on Machine Learning Performance , 2022.

LossVal: Efficient Data Valuation for Neural Networks The Effects of Data Quality on Machine Learning Performance , 2022

Reference 9

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Observation cf08ee94-a959-49cc-8563-10f58a72f556 · outbound

This paper cites CHG Shapley : Efficient Data Valuation and Selection towards Trustworthy Machine Learning , June 2024.

LossVal: Efficient Data Valuation for Neural Networks CHG Shapley : Efficient Data Valuation and Selection towards Trustworthy Machine Learning , June 2024

Reference 10

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Observation dc14535b-cfc7-4d83-8f76-36490a529211 · outbound

This paper cites and Lemaire, V.

LossVal: Efficient Data Valuation for Neural Networks and Lemaire, V

Reference 11

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Observation fc05c1e6-db37-457a-b69d-78e3a3c0809d · outbound

This paper cites Data evaluation and enhancement for quality improvement of machine learning.

LossVal: Efficient Data Valuation for Neural Networks Data evaluation and enhancement for quality improvement of machine learning

Reference 12

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 13

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Observation 46fc5961-d0a1-47fd-a1ee-d773857163dd · outbound

This paper cites Towards Model-based Pricing for Machine Learning in a Data Marketplace.

LossVal: Efficient Data Valuation for Neural Networks Towards Model-based Pricing for Machine Learning in a Data Marketplace

Reference 14

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Observation 2e3091e5-fef0-4ae2-b3a3-506f2f1b4efc · outbound

This paper cites Precedence- Constrained Winter Value for Effective Graph Data Valuation , March 2024.

LossVal: Efficient Data Valuation for Neural Networks Precedence- Constrained Winter Value for Effective Graph Data Valuation , March 2024

Reference 15

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 16

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Observation e8662e13-17b0-4ca8-ab4a-17b9a4f0ff6f · outbound

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 17

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 18

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This paper cites Sinkhorn Distances : Lightspeed Computation of Optimal Transport.

LossVal: Efficient Data Valuation for Neural Networks Sinkhorn Distances : Lightspeed Computation of Optimal Transport

Reference 19

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LossVal: Efficient Data Valuation for Neural Networks Euro NCAP database

Reference 20

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Observation 1f560d71-e9c7-44b6-9606-1630b3ce9550 · outbound

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LossVal: Efficient Data Valuation for Neural Networks J., Mills, G

Reference 21

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LossVal: Efficient Data Valuation for Neural Networks and Zhang, C

Reference 22

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Observation d947e30f-b3f9-4ce4-8815-081a5417a8ec · outbound

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LossVal: Efficient Data Valuation for Neural Networks Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

Reference 23

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LossVal: Efficient Data Valuation for Neural Networks OpenML-CTR23 -- A curated tabular regression benchmarking suite

Reference 24

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 25

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LossVal: Efficient Data Valuation for Neural Networks Learning with Drift Detection

Reference 26

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This paper cites DU-Shapley : A Shapley Value Proxy for Efficient Dataset Valuation , June 2023.

LossVal: Efficient Data Valuation for Neural Networks DU-Shapley : A Shapley Value Proxy for Efficient Dataset Valuation , June 2023

Reference 27

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Observation 236a6b17-79bd-4181-83fa-12f989cd9abb · outbound

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LossVal: Efficient Data Valuation for Neural Networks and Zou, J

Reference 28

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LossVal: Efficient Data Valuation for Neural Networks A Distributional Framework For Data Valuation

Reference 29

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LossVal: Efficient Data Valuation for Neural Networks Structural optimization for crash pulse

Reference 30

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This paper cites F., Hase, P., Bansal, M., and Xiong, C.

LossVal: Efficient Data Valuation for Neural Networks F., Hase, P., Bansal, M., and Xiong, C

Reference 31

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LossVal: Efficient Data Valuation for Neural Networks Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs , March 2023

Reference 32

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LossVal: Efficient Data Valuation for Neural Networks and Lowd, D

Reference 33

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LossVal: Efficient Data Valuation for Neural Networks O., Belin, M.- ., and Lundgren, B

Reference 34

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 35

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LossVal: Efficient Data Valuation for Neural Networks A study on ride-down efficiency and occupant responses in high speed crash tests

Reference 36

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LossVal: Efficient Data Valuation for Neural Networks T., and Jia, R

Reference 37

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LossVal: Efficient Data Valuation for Neural Networks A., Gurel, N

Reference 38

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source=arxiv_source observed=2026-08-11T21:47:36.350736Z digest=sha256:c26fd498c24b894ac66440c031b8cbdcf3943ee4615361cdc92b280fcefe08b6

Observation aaa23f79-2ced-4ce0-895a-d38bb48c9f68 · outbound

This paper cites Scalability vs.

LossVal: Efficient Data Valuation for Neural Networks Scalability vs

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:39.029279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.355058Z digest=sha256:41389b7863c0c62ab1ee9f29b4e493bc3f59348e9f6dc5b33e16e78a2f5d08b3

Observation 6c227672-a829-4f52-8262-b33e894b59b5 · outbound

This paper cites F., Liang, W., Zou, J., and Kwon, Y.

LossVal: Efficient Data Valuation for Neural Networks F., Liang, W., Zou, J., and Kwon, Y

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:39.013566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.359472Z digest=sha256:1210551891e4cf58453517d1ca3f2f01700c91b63fa1e2d87f893eb43bd20e06

Observation 43177e3f-5137-41e6-a515-29f5d6b48cb2 · outbound

This paper cites A., Kang, F., Wang, J.

LossVal: Efficient Data Valuation for Neural Networks A., Kang, F., Wang, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.997722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.364096Z digest=sha256:1df1a3f52cbc46b399a3896e1c50d6cb3dafe8fb325ea2731b82a120904b5d16

Observation 96fd08b4-389d-48de-981e-8dc642a6093a · outbound

This paper cites SAVA : Scalable Learning-Agnostic Data Valuation , June 2024.

LossVal: Efficient Data Valuation for Neural Networks SAVA : Scalable Learning-Agnostic Data Valuation , June 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.980081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.368670Z digest=sha256:fff8817db97fac4060226f540c4a82ef78eef3e7ef0c339dd7e6d13f2b46a2f4

Observation b7f919c8-639b-4e69-85cc-74ba496d67ba · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.373467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.373467Z digest=sha256:a1a5650a4547ff489ec9c1dadf5594130c0e8abf2086b5f6d0c95f764c47e496

Observation b4bdabe9-5915-4567-b63a-8a21c0efb4a8 · outbound

This paper cites Efficient Estimation of Influence of a Training Instance.

LossVal: Efficient Data Valuation for Neural Networks Efficient Estimation of Influence of a Training Instance

Reference 44

Resolution
verified exact
doi, observed 2026-08-11T21:47:36.752421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.377915Z digest=sha256:eb03a9350c33cb3276976222af184558397b3c8774b29aab6f6cf651ac6b18dd

Observation 25e073c2-c683-434d-9c26-5fcb673c1ab3 · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:47:38.953427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.382796Z digest=sha256:6d437440a700100805414f7aebc42b46fe64733fb06c9b9ad19d6c93b96c8238

Observation b5867b88-aa05-43ae-8e32-4c2a2f3f2be4 · outbound

This paper cites W., Ang, K.-S., Teo, H.

LossVal: Efficient Data Valuation for Neural Networks W., Ang, K.-S., Teo, H

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.937658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.387430Z digest=sha256:3fc0f3232348d1611495ad2758fd3dcab2f3e9395f450aa6090631759dfe75c6

Observation 9a2491dd-aa29-431d-bc0f-10ee4aa69da2 · outbound

This paper cites u bler, L., Gargallo, S., and Els \.

LossVal: Efficient Data Valuation for Neural Networks u bler, L., Gargallo, S., and Els \

Reference 47

Resolution
verified exact
doi, observed 2026-08-11T21:47:36.736416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.391924Z digest=sha256:ea06e6b85ff1c39889ef510198dc4278a804fae0e1d4d04d34be1b2869a45cf1

Observation 8e3eeed4-fc29-4fa2-aef6-8274f9fa0626 · outbound

This paper cites Self- Paced Learning for Latent Variable Models.

LossVal: Efficient Data Valuation for Neural Networks Self- Paced Learning for Latent Variable Models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.922367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.396411Z digest=sha256:10df6aa7db140cd2ba30c57750dd2d7ad37d53ced2c894083ec095da8685078c

Observation 2b111f81-f382-4b8c-aa80-da5a56bf2006 · outbound

This paper cites and Zou, J.

LossVal: Efficient Data Valuation for Neural Networks and Zou, J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.907295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.400893Z digest=sha256:c302e9c3fb01de8f65377a74fc85a1dc0d12845e80b266bec5f995a3ed1c9efa

Observation 167cfb89-1faa-45a5-8267-c33eed9e6f87 · outbound

This paper cites and Zou, J.

LossVal: Efficient Data Valuation for Neural Networks and Zou, J

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.892252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.405400Z digest=sha256:5ce3ce533a3551a6b4eefa3d15a6f2c5959a565439c1ae11aac65742f7d5fc85

Observation 219167fd-7762-4c47-8e52-70191d4a3824 · outbound

This paper cites Y., Miklau, G., and Suciu, D.

LossVal: Efficient Data Valuation for Neural Networks Y., Miklau, G., and Suciu, D

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.410039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.410039Z digest=sha256:231c75576e4f6fd8b2373eb9b7dd2e55deb00da2a9d72050027e2526d8d979ac

Observation 8247e227-fe72-45c0-8ca6-4b3c0dc16c8b · outbound

This paper cites Neural Dynamic Data Valuation , June 2024.

LossVal: Efficient Data Valuation for Neural Networks Neural Dynamic Data Valuation , June 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.876597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.414713Z digest=sha256:63b2df49576eb2b60294b7939156016bcd393b998aaee6bdc0537f110f71bbdb

Observation 9ab18978-db4c-487c-896d-968b0c1e55f1 · outbound

This paper cites Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments , June 2022.

LossVal: Efficient Data Valuation for Neural Networks Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments , June 2022

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.860646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.419141Z digest=sha256:0c88dd6111c69db721728cbe1bc3415971f213832517f9af963d63ed03d3410d

Observation ec8970e0-c794-4b00-ba07-80d3bcc279cd · outbound

This paper cites Focal Loss for Dense Object Detection , February 2018.

LossVal: Efficient Data Valuation for Neural Networks Focal Loss for Dense Object Detection , February 2018

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.842883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.423675Z digest=sha256:012550d441dbb3f5a0119e6708ac15febaeaf7fb547818a5b95da88c34ab374c

Observation 0d225db4-63e2-4576-8d97-2a0aa8619edd · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:47:38.825261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.428311Z digest=sha256:0cd045b02929801a22a7878981844b116790c2991e5009d13ed78cb904508ae3

Observation d012b15e-ce65-4806-88be-653d280127b4 · outbound

This paper cites Damage Prediction and Crashworthiness Optimization of FOBEVs in Positive Crashes for Battery Electric Vehicles.

LossVal: Efficient Data Valuation for Neural Networks Damage Prediction and Crashworthiness Optimization of FOBEVs in Positive Crashes for Battery Electric Vehicles

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.809108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.432697Z digest=sha256:4a50507f96b1037e6e239027a212d00a46f4be933b93269f3d34b7580609ec7d

Observation 1f3e0932-f145-47b6-a788-870909314a68 · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:47:38.792685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.437501Z digest=sha256:ca9413f1d9396a1fb143e1599570f7991e8087075aae7fd2ea6258ec3444bd37

Observation 5cd607c9-18ce-4c7f-ba68-51ad0ced223e · outbound

This paper cites D., and Vielhaber, M.

LossVal: Efficient Data Valuation for Neural Networks D., and Vielhaber, M

Reference 58

Resolution
verified exact
doi, observed 2026-08-11T21:47:36.720204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.442203Z digest=sha256:3d9f8f52dceade65246ddbc5a2d8fc2c35fe8ec5124637f20573aedca40ea784

Observation b9482912-5768-4f93-943f-b45f26c837ef · outbound

This paper cites M., and Poor, H.

LossVal: Efficient Data Valuation for Neural Networks M., and Poor, H

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.447311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.447311Z digest=sha256:b0c9085ee5971547f7657e8b7cb2fd9a2f05c79d2879677485fe1945680d6752

Observation 9fd57e2f-6242-4c30-91cb-5670d3a8cdef · outbound

This paper cites Interpretable Machine Learning : A Guide for Making Black Box Models Explainable.

LossVal: Efficient Data Valuation for Neural Networks Interpretable Machine Learning : A Guide for Making Black Box Models Explainable

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.776796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.451847Z digest=sha256:d435910be24652d4b4142a95ff55a02ac8628b099a0606a6a014a77ed4bc641a

Observation 97026d6b-08f9-453d-8467-5c80f2ed6fa3 · outbound

This paper cites Interpreting Machine Learning Models with SHAP : A Guide with Python Examples and Theory on Shapley Values.

LossVal: Efficient Data Valuation for Neural Networks Interpreting Machine Learning Models with SHAP : A Guide with Python Examples and Theory on Shapley Values

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.760862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.456297Z digest=sha256:90621bff2d31a9bf32f0b53e8b08b78574402eb3f7a4456cd0060aee0779848e

Observation 9a455cc9-83c3-42ca-a74c-3e5e87d5a4ef · outbound

This paper cites National highway traffic safety administration database.

LossVal: Efficient Data Valuation for Neural Networks National highway traffic safety administration database

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.745241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.460731Z digest=sha256:541b64654a69918ed57caaea0e17f26b0de6e3214ea8807e0f246a07cb137f09

Observation 759876f3-4ba7-4c0d-aafc-474d60ed62c7 · outbound

This paper cites P., Bajardi, P., and Panisson, A.

LossVal: Efficient Data Valuation for Neural Networks P., Bajardi, P., and Panisson, A

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.465342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.465342Z digest=sha256:7d6cad476123da23c599455474a7abefe41b906cace6a10bf0b73075c35aa835

Observation 93266783-c999-41e5-863e-ff29fc4d56fe · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.469940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.469940Z digest=sha256:1f88c966bea4e571603fd31d6976a1aebf71035c20cc4976b34f8e71d1474d8b

Observation cd8cdd27-49d0-40dc-9ab0-f0b2a39c7b48 · outbound

This paper cites M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A.

LossVal: Efficient Data Valuation for Neural Networks M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.727036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.474828Z digest=sha256:9acf97deceeed1e4639160d04533f3812a3ae21e758ca61d022b31843c5ddbb5

Observation 409c936a-1936-4aa4-8051-f41a8b13d921 · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:47:38.711763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.479440Z digest=sha256:3ac96913ad689dc9ab640dcf7ebcca2ba35bc78cb05129f80c467f94f0afc805

Observation 86f029a3-aaa9-4da1-84ce-a7551e91eccc · outbound

This paper cites Estimating Training Data Influence by Tracing Gradient Descent.

LossVal: Efficient Data Valuation for Neural Networks Estimating Training Data Influence by Tracing Gradient Descent

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.696810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.484512Z digest=sha256:1d65c753c609adc6512986a72d725f4951870fcc953320d03a678dfc66498f88

Observation e491b679-1d85-4eeb-83e1-3b795bdc4013 · outbound

This paper cites Modell zur Prognose von Dummybelastungen f \"u r eine effiziente Auslegung der Passiven Sicherheit von Fahrzeugen , 2024.

LossVal: Efficient Data Valuation for Neural Networks Modell zur Prognose von Dummybelastungen f \"u r eine effiziente Auslegung der Passiven Sicherheit von Fahrzeugen , 2024

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.680813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.489105Z digest=sha256:01ea2071fbc6756942875e993d042408ac50a9d035bf6dbbcb2f65472d7e2057

Observation 467912d6-a43a-444d-b361-00de7981e630 · outbound

This paper cites K., Maurer, S.

LossVal: Efficient Data Valuation for Neural Networks K., Maurer, S

Reference 69

Resolution
verified exact
doi, observed 2026-08-11T21:47:36.704190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.493925Z digest=sha256:1c3a6246b142b2efb412aef9904e585074cf700201a86b801e17c5f843798f64

Observation 02e67727-a210-42bf-a624-216d7fc1990e · outbound

This paper cites Data Markets to support AI for All : Pricing , Valuation and Governance , May 2019.

LossVal: Efficient Data Valuation for Neural Networks Data Markets to support AI for All : Pricing , Valuation and Governance , May 2019

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.665007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.498991Z digest=sha256:f863def1b95909ebd6666b66ed85a7b258c106829a8521469fd477ed4f15ee13

Observation bcdc7bb7-2b3a-448b-aece-f78cb740f0d0 · outbound

This paper cites P., Yang, H.-J., Zhu, J., Liu, Y., Stancu, I., and McGregor, G.

LossVal: Efficient Data Valuation for Neural Networks P., Yang, H.-J., Zhu, J., Liu, Y., Stancu, I., and McGregor, G

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.503559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.503559Z digest=sha256:5667fe88b9bcbe99b01f4a9d1276edf9cd9f484afa1ffa57c570158ec70a7cda

Observation 815ecf6c-4488-4467-bf91-c8da133d6b48 · outbound

This paper cites Gradient Sketches for Training Data Attribution and Studying the Loss Landscape , February 2024.

LossVal: Efficient Data Valuation for Neural Networks Gradient Sketches for Training Data Attribution and Studying the Loss Landscape , February 2024

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.648576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.508127Z digest=sha256:fe144b58c114ec1a589258ac06b2b9f55fa213a72a5687c2156c7e22852e890b

Observation b8d3709d-33ec-4743-9b09-44d089bbd3d2 · outbound

This paper cites Scaling Up Influence Functions.

LossVal: Efficient Data Valuation for Neural Networks Scaling Up Influence Functions

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.512766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.512766Z digest=sha256:113f8c3a60075dd34efff46b08905e8a9b53dfdfa1b71460407a4da67dd47b9c

Observation 1fc3325d-b78a-41c4-8ebb-16e1ff0052e9 · outbound

This paper cites CS-Shapley : Class-wise Shapley Values for Data Valuation in Classification.

LossVal: Efficient Data Valuation for Neural Networks CS-Shapley : Class-wise Shapley Values for Data Valuation in Classification

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.632213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.517512Z digest=sha256:a9c271a478e7e2126305c615198f5509755b18218232775fb5ad2268fb55ce46

Observation 1e46e992-251a-46e9-8850-b56013ee2332 · outbound

This paper cites New Families of Solutions for the Space Time Fractional Burgers Equation.

LossVal: Efficient Data Valuation for Neural Networks New Families of Solutions for the Space Time Fractional Burgers Equation

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:47:37.333641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 828553e1-e904-447d-a313-092dcab6a879 · outbound

This paper cites Adaptive restraint design for a diverse population through machine learning.

LossVal: Efficient Data Valuation for Neural Networks Adaptive restraint design for a diverse population through machine learning

Reference 76

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 763d2a2a-d5d8-40bd-92a4-9e9564251461 · outbound

This paper cites 2D-OOB : Attributing Data Contribution Through Joint Valuation Framework , October 2024.

LossVal: Efficient Data Valuation for Neural Networks 2D-OOB : Attributing Data Contribution Through Joint Valuation Framework , October 2024

Reference 77

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d90192b5-50e1-4c3a-92e3-5307e66caa5e · outbound

This paper cites M., Chen, B., and Kankanhalli, M.

LossVal: Efficient Data Valuation for Neural Networks M., Chen, B., and Kankanhalli, M

Reference 78

Resolution
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no resolver link, observed 2026-08-11T21:47:36.536881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3e4d32be-cb0d-48ac-a846-d98844967fc2 · outbound

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 79

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bfdb11d0-85d9-4b02-a831-83fecb94011d · outbound

This paper cites Private Data Valuation and Fair Payment in Data Marketplaces , February 2023.

LossVal: Efficient Data Valuation for Neural Networks Private Data Valuation and Fair Payment in Data Marketplaces , February 2023

Reference 80

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f4a3af35-dc4b-43d6-a65f-c976f736524f · outbound

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 81

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 59aee53a-efd4-4246-a797-a73468432305 · outbound

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 55d001a1-6362-44e3-9993-31518bc4b947 · outbound

This paper cites T., Mittal, P., Song, D., and Jia, R.

LossVal: Efficient Data Valuation for Neural Networks T., Mittal, P., Song, D., and Jia, R

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.560119Z digest=sha256:7fa511654a51f62557cf14e07cc84d536096aaaef82172694459bf44a4b58527

Observation 16ad37b4-6c87-4eab-9532-352896e0d82e · outbound

This paper cites A Comprehensive Survey of Loss Functions in Machine Learning.

LossVal: Efficient Data Valuation for Neural Networks A Comprehensive Survey of Loss Functions in Machine Learning

Reference 84

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 5b0a6b24-bc96-4db8-b856-3d2a2b15ccd7 · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 85

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.570646Z digest=sha256:047b82e58b4111729aac0dc99aeb88fd1a4eee68e13e0487cdb0675cf6846fe6

Observation f36c7f50-277b-4a50-a6aa-16f98bb970c0 · outbound

This paper cites S., and Bilkhu, S.

LossVal: Efficient Data Valuation for Neural Networks S., and Bilkhu, S

Reference 86

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.575823Z digest=sha256:50486859f8f5e213a174a24bd1d80a0191c65e4be9dcf6396317afadf8b9abc6

Observation a5405bb6-0ebc-4dec-be38-841c1c7d5398 · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 87

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.580772Z digest=sha256:6bd80dfb663045fc528060676727f0d05e94eaa3ccd77eb3f0650bbc74d03ead

Observation f14c1fa0-ec03-4a04-b47b-1740a4e037b5 · outbound

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LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 88

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.585411Z digest=sha256:84201b4f67da528406798c0ee77c05fb9c88b46ce368bbf6107afdd51e7ed950

Observation f077d07f-2d32-4374-bf0b-5ebcdfe4f4c5 · outbound

This paper cites S., and Low, B.

LossVal: Efficient Data Valuation for Neural Networks S., and Low, B

Reference 89

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.590568Z digest=sha256:6a40c167ced2880399081fae4f25b36cdfd6263a8f80123cd432b3bed9a0d793

Observation cfef9d14-c0d2-4592-a8d4-a915bff06ed7 · outbound

This paper cites an unresolved cited work.

LossVal: Efficient Data Valuation for Neural Networks Unresolved cited work

Reference 90

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.595351Z digest=sha256:d3a3186c6928f06839ac0fff31f0fce3e0f4e54c48840348bbc2c19f0ddb7434

Observation 5d415dc8-a655-4d85-92d7-6c57249f61a5 · outbound

This paper cites E.-H., and Ravikumar, P.

LossVal: Efficient Data Valuation for Neural Networks E.-H., and Ravikumar, P

Reference 91

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.600113Z digest=sha256:06d17ee17497ccfc0d812f1abe94477aaa85af0fe7b4d4f71a8cd61f26291de0

Observation ca0d6736-32d9-408d-b01b-d871898c12c8 · outbound

This paper cites Who's responsible? Jointly quantifying the contribution of the learning algorithm and data.

LossVal: Efficient Data Valuation for Neural Networks Who's responsible? Jointly quantifying the contribution of the learning algorithm and data

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-11T21:47:36.605285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:47:36.605285Z digest=sha256:5ba837abf13a46ca6f1b4a4752350e3150533f9f0263d0acaa25a99e5bc456bc

Observation 12983e67-2544-4ab3-bd24-a873d820b193 · outbound

This paper cites Data Valuation using Reinforcement Learning.

LossVal: Efficient Data Valuation for Neural Networks Data Valuation using Reinforcement Learning

Reference 93

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.610350Z digest=sha256:9f4c80e595c49b787d1bd32664330d673384188f6c16f8ee4c82d6379f9d2893

Observation 98b62b0c-5f96-43e3-b4fc-cd10d8bf6f52 · outbound

This paper cites Towards Data Valuation via Asymmetric Data Shapley , November 2024.

LossVal: Efficient Data Valuation for Neural Networks Towards Data Valuation via Asymmetric Data Shapley , November 2024

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:47:38.415379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-11T21:47:36.615134Z digest=sha256:b40da6392c1f9b17e62977eb3556eccc5e6f4a0c1258298ff0b333136585e5e8

Pith citing papers

Observation 9f732d40-5ea5-4659-a71f-c7350e0a4ea9 · inbound

KAIROS: Scalable Model-Agnostic Data Valuation cites this paper.

KAIROS: Scalable Model-Agnostic Data Valuation LossVal: Efficient Data Valuation for Neural Networks

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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