Pith. sign in

Paper Citation Record · LEDGER

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2412.01335.

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

pith.paper-citation-record.v1
2412.01335 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:41.398950Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T20:42:10.718326Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T20:43:43.367235Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved16
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b758e04a-bccc-46d6-80a4-55de1c241dd4 · outbound

This paper cites Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.338691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.338691Z digest=sha256:83931a93a601e01d9ed848d47ae7ceedcfccdf069a71523bb8a44cc5f3266d11

Observation d543e341-364e-4011-ae64-234ac00173d9 · outbound

This paper cites an unresolved cited work.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:31:41.866290Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.387825Z digest=sha256:c70831a94c36078da3a9b47b834dfbe383e6edd353a5581208c216e2c02d0a39

Observation b1bc2c02-c888-4e20-b73c-5da4292cb471 · outbound

This paper cites Cees GM Snoek, Marcel Worring, Jan C Van Gemert, Jan-Mark Geusebroek, and Arnold WM Smeulders.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Cees GM Snoek, Marcel Worring, Jan C Van Gemert, Jan-Mark Geusebroek, and Arnold WM Smeulders

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.361422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.361422Z digest=sha256:3222f57e6e1b4fff3b8ad3ace3c55a15ca2ad176ca4f1d2a7c09f67da5b98716

Observation bc1f8950-3544-411a-a145-18d14154abbb · outbound

This paper cites Specifically, we consider two methods used by Koh & Liang [2017], Conjugate Gradient (CG) and LiSSA [Agarwal et al., 2017].

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Specifically, we consider two methods used by Koh & Liang [2017], Conjugate Gradient (CG) and LiSSA [Agarwal et al., 2017]

Reference 18

Resolution
malformed identifier
raw_fallback, observed 2026-08-12T04:31:41.878518Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.381930Z digest=sha256:409d521e8680bccff1d832973c71010b96459eb5ae4b6931f8f0de87a63aa071

Observation 20e25558-5950-48b2-b717-dfdf5a202181 · outbound

This paper cites an unresolved cited work.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:31:41.852201Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.392196Z digest=sha256:35d7612238aab1f06e6821009f01ea0ef088c9582197163532a1ebc04cbbb2da

Observation cc251ba5-e64d-4801-8a50-d309354074ca · outbound

This paper cites an unresolved cited work.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:31:41.834789Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.398950Z digest=sha256:3953be891617228e01cd71cba1c35090521e9ff150221f9e934761a8f3245fce

Observation e71dabda-eb97-4dbe-89ea-10a88204363c · outbound

This paper cites doi: 10.1111/j.2517-6161.1972.tb00899.x.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss doi: 10.1111/j.2517-6161.1972.tb00899.x

Reference 1972

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.318378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.318378Z digest=sha256:32cabefcf7576c719f8e0215ce9034bbbc995aae6725d1b0ff609b9376800e4c

Observation f3f853c3-d23c-4587-9b59-e8cfcc16607a · outbound

This paper cites doi: 10.1080/01621459.1974.10482962.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss doi: 10.1080/01621459.1974.10482962

Reference 1974

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.326945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.326945Z digest=sha256:78167e786ed79f4b3459f13be549bfacb1da07e36c1d8a1d54e2766e7cd37605

Observation 4e3c1134-b0e0-48be-9a77-88395d43e519 · outbound

This paper cites Improving recommendation accuracy using networks of substitutable and complementary products.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Improving recommendation accuracy using networks of substitutable and complementary products

Reference 1977

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:31:41.891937Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.377341Z digest=sha256:4ed47d1eddab23eb4a6c6f68e99fb85213a50e7ec2b6fa40032de051bcca829c

Observation 3811cd10-4fb5-4e3e-8240-4b418caa6cbf · outbound

This paper cites doi: 10.2307/2336329.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss doi: 10.2307/2336329

Reference 1985

Resolution
verified exact
doi, observed 2026-08-12T04:31:41.452884Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.356713Z digest=sha256:e58e0dd5a79f8c2116f00d152bb9252eeb3e6b854831eafa5af6c9f82ce1f769

Observation da42ccad-6b41-4c6b-b1b1-e03620b875a4 · outbound

This paper cites Effective and efficient multilabel classification in domains with large number of labels.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Effective and efficient multilabel classification in domains with large number of labels

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:31:41.905963Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.365284Z digest=sha256:74ce097935288a2a21cd6ba16bc5db70643251226f5ba7acf982e782e4428617

Observation aa29c74d-23dc-47c6-b797-41285192c98c · outbound

This paper cites ISBN 9781605582054.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss ISBN 9781605582054

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.373899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.373899Z digest=sha256:c65ea9b12e5aa2d834496bfcaf23753ccd4b64dccfba91e302741aa5120c2d3d

Observation 72344ab8-438f-42d0-bee7-ca9a32e1e071 · outbound

This paper cites Datamodels: Predicting Predictions from Training Data.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Datamodels: Predicting Predictions from Training Data

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.330899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.330899Z digest=sha256:1001ea665e50e20bb15fe7db7271d984ba6538e32665e3f5198c615bd7ab0433

Observation 19038f17-a4e0-4fe1-98e4-e6ef0cb04e5c · outbound

This paper cites doi: 10.1017/cbo9780511802256.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss doi: 10.1017/cbo9780511802256

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.370088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.370088Z digest=sha256:fb51b5fb04fb8801d20dfb2887e486820edc17e438ac47449c86b13895c9c3c5

Observation 21c65865-dfec-4ded-a0ae-c0fab4bbe0c3 · outbound

This paper cites TRAK: Attributing Model Behavior at Scale.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss TRAK: Attributing Model Behavior at Scale

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.347727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.347727Z digest=sha256:010cebadad87a4ea76e250d418b64f9f2072d803db9029fb6ab70936d2b49bc0

Observation 86d7e6ff-1e51-4c6a-89b6-2a52ea90c6db · outbound

This paper cites ISBN 9781450329569.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss ISBN 9781450329569

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.352208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.352208Z digest=sha256:6928af82429443211c8e89c9ff2d71bd1f46259971cffd6b24e9cebf4508c641

Observation 9419a440-40e0-4c81-b002-44527bad7cd5 · outbound

This paper cites an unresolved cited work.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Unresolved cited work

Reference 2017

Resolution
unresolved
raw_fallback, observed 2026-08-12T04:31:41.933008Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.308148Z digest=sha256:b83b2170d186ce31c490b042622294b75ea95bf93cbe8fe863306354ed3243eb

Observation ae50c4f0-29c4-46d5-b1d6-9f981fedeaa1 · outbound

This paper cites What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.313388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.313388Z digest=sha256:c5bfc36bafa85ac1e626a39adfd4296cf8b51e1ca79e9df6949963c6880ab412

Observation 680e511c-2a57-4e6f-a378-ef640abe1669 · outbound

This paper cites DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.343121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.343121Z digest=sha256:d433d93bc4d7c9d231a6994ad5416aa81b97d4b443986a9ca7b3852c3cccf517

Observation d165e330-867d-41fd-8010-6ba543ea3cee · outbound

This paper cites Evilseed: A guided approach to finding malicious web pages.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss Evilseed: A guided approach to finding malicious web pages

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T04:31:41.920429Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-12T04:31:41.334896Z digest=sha256:90b639a4d57150152823226fcde2b77076d59bd17299c2c5c62cb7d2cf0f91ee

Observation 93e72a49-17b7-4ca9-af87-06e0f91f5bf7 · outbound

This paper cites FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T04:31:41.322266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:31:41.322266Z digest=sha256:b76dbfd4dbd54f43b70050b18e538a15eaab64f3253719edf63d57dc77e49dab

Pith citing papers

Observation e5576b0f-7621-4481-bebd-36ae39d791ff · inbound

Interaction-Aware Influence Functions for Group Attribution cites this paper.

Interaction-Aware Influence Functions for Group Attribution A Versatile Influence Function for Data Attribution with Non-Decomposable Loss

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:43:43.368745Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-20T20:42:10.718326Z digest=sha256:612db571cc8413da8f73a280f245d56c07cd5bfc6c269133d672220d04fd3fb7