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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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=sha256:87a8ae5ed2f8f6ba7d00edc89ff4d670547f8a4e5a22f6a1efb33d46899f5799

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.387825Z digest=sha256:c298d18b38cf628b44a60bc7ff7ba8829d030707caad75da090dff66258845a0

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:fbe56b1cccaeb8499792f81ca0b6920e15833d8d19b469de72fa7f016f337cad

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.381930Z digest=sha256:d8e751297e7ca10772ea1dac5f6076e8d5df02f5dac02e3e7adcd5d88259b83e

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.392196Z digest=sha256:2e267bdb5f496ac3237c6249bdff6d0569591e6a07938e6ee48c7b0714877114

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.398950Z digest=sha256:98f1a5adaa1b59ba464c51deb7eead96c59e5b1ce441dae047393eb1166120e9

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=sha256:3c65e3c7d1168572250d7b90c467abe9b7b57559e8dbc98236f97cba771e6570

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=sha256:0f5a861ad86a2a6510dc9a417ed08bdde47a50c608dcaf3d26a9ead56a3b5200

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.377341Z digest=sha256:fb9dae475390870c55756e27d231588656cd07f61e2a9ce8e03d862a5dbb69c8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.356713Z digest=sha256:2214e6f05bb202b6126f8f1ec3746d174a2d14728b6c5e08fa33087363de5776

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.365284Z digest=sha256:26cfcf184d304ac754c97316c0526a58fb35458f9dce68ab3a7535a20841bb2e

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=sha256:59a925b41797097ded089dbb17663e471bca7aadb2b698492f739e4800a490d4

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=sha256:18763ead4bb6c2753eebf989f429bed569c87e3aa9a729772766087bfa77d2c6

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:dfab1ddc256df0f147f363a56920073c12e93ac1e9bc74fd62369f03634ddd1b

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:be2a08f0c6ac00b85c841bc0a3a741658c89f0b92a8386c9692573b3bd79f5c9

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:cf1ae5b2c8be215644885dd84ed707b95c1299bf7bf659214cdabfee49405516

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.308148Z digest=sha256:452874e7cced8a8ac3cc45b2893f9313cacd0c45e0211c3c8cbb1777f3c88a99

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=sha256:44402b3ec3803eaecd4f4bece7d78637d5ab2b953e85eecd8238af0827ac0f53

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.

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T04:31:41.334896Z digest=sha256:03c4a3d25b08be1b7e227d5d48ab47b55141d7db08900b4ac828816921cfca6f

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=sha256:049348d7283180d64340081b6b6b9cf9f60db2f8d98150fac1dc2d79ef00747f

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-20T20:42:10.718326Z digest=sha256:b985cc55424a997b43018a5b13d85c2ccfba5546ddf74ae9e8a3f08fbdf2c0e7