Paper Citation Record · LEDGER

What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2405.13954.

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

pith.paper-citation-record.v1
2405.13954 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:14.056444Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3874a8f3-6213-487d-bc44-b2ac2b4b9bf4 · inbound

DMin: Scalable Training Data Influence Estimation for Diffusion Models cites this paper.

DMin: Scalable Training Data Influence Estimation for Diffusion Models What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:12:41.482329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e7b1d77b-f26e-4d4a-96cf-3b70d92e2151 · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:14.056444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c51a8e8-fc08-426b-8379-074619e98521 · inbound

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering cites this paper.

MedPAIR: Measuring Physicians and AI Relevance Alignment in Medical Question Answering What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:48.072916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1545317-39dc-4427-b19a-7a95f2c258fb · inbound

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text cites this paper.

The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:43.586696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74054604-4c3d-43a0-8465-67011a7afe78 · inbound

Counterfactual Influence as a Distributional Quantity cites this paper.

Counterfactual Influence as a Distributional Quantity What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T22:53:57.053058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42133a1c-de57-4c0c-9a18-b3feebd64d5a · inbound

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

KAIROS: Scalable Model-Agnostic Data Valuation What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T21:41:09.122891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fccad6a-8a27-4721-be9e-1d778ed67d9c · inbound

Class-Proportional Coreset Selection for Difficulty-Separable Data cites this paper.

Class-Proportional Coreset Selection for Difficulty-Separable Data What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:25:11.881362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6c20fe-90c0-45fb-9f84-3884d85ce1ea · inbound

Better Training Data Attribution via Better Inverse Hessian-Vector Products cites this paper.

Better Training Data Attribution via Better Inverse Hessian-Vector Products What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:42.360721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2715468a-44c5-4202-bb8f-d75227ad2398 · inbound

Understanding Data Influence with Differential Approximation cites this paper.

Understanding Data Influence with Differential Approximation What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T18:28:54.016047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 040c75cf-a3d6-4bb2-9784-bd68fe2671aa · inbound

LLM generation novelty through the lens of semantic similarity cites this paper.

LLM generation novelty through the lens of semantic similarity What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T07:22:02.954855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5964d3c3-ba3d-45ab-818d-652e3c02aad7 · inbound

On the Accuracy of Newton Step and Influence Function Data Attributions cites this paper.

On the Accuracy of Newton Step and Influence Function Data Attributions What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T17:50:26.368155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 04bc9a33-229e-4ff8-8d78-2e70debc4dfb · inbound

Efficient Estimation of Kernel Surrogate Models for Task Attribution cites this paper.

Efficient Estimation of Kernel Surrogate Models for Task Attribution What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T08:00:44.855210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ea11efb9-c3b0-4809-9fc1-bb45792f2322 · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T02:37:10.074908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0a11839-2b7a-4845-a8bd-703e0a743920 · inbound

CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing cites this paper.

CLaRE-ty Amid Chaos: Quantifying Representational Entanglement to Predict Ripple Effects in LLM Editing What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T12:55:37.982743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e929c12d-cf04-4304-ade4-f724e6b040e5 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:48:00.983672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f202ca1b-21ec-4367-9084-6bea98ba9225 · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:07.882540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a632133e-d1bb-4d48-933d-3c5d9239c4b2 · inbound

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version cites this paper.

TimeBlocks: Foundational and Continual Time-Series Blockbase -- Extended Version What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:56:15.605707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67c8be86-942e-49a2-8b62-52a63c55cc2a · inbound

DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors cites this paper.

DeMix: Debugging Training Data with Mixed Data Error Types by Investigating Influence Vectors What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:17:49.027185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ad2f5234-329d-466f-b44e-f401296350ba · inbound

DRIFT: Refining Instruction Data via On-Policy Data Attribution cites this paper.

DRIFT: Refining Instruction Data via On-Policy Data Attribution What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T19:18:54.746772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8da06ebc-4084-4b03-aaa4-edd26c639ff0 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:14.913764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b59271dd-4e0b-435e-aa58-a456a93de6ab · inbound

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music cites this paper.

What's a Credit Worth? A Market Framework for Attribution-Aware Compensation in Generative Music What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:36:43.656770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.