Paper Citation Record · LEDGER

DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2310.00902.

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

pith.paper-citation-record.v1
2310.00902 v3

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 2026-08-18T06:34:40.430872+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:31:41.343121Z

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 680e511c-2a57-4e6f-a378-ef640abe1669 · inbound

A Versatile Influence Function for Data Attribution with Non-Decomposable Loss cites this paper.

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.

Observation 0e7f4c45-5cc4-40e4-bffe-ed118d34e932 · inbound

Fairshare Data Pricing via Data Valuation for Large Language Models cites this paper.

Fairshare Data Pricing via Data Valuation for Large Language Models DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T19:57:42.463154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e10875ad-cf06-4d55-8fe9-b063a61555a3 · inbound

Low-Perplexity LLM-Generated Sequences and Where To Find Them cites this paper.

Low-Perplexity LLM-Generated Sequences and Where To Find Them DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T20:44:59.310269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2ae71c0-b837-4dbb-9ef4-62d50e9e3ee5 · inbound

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics cites this paper.

CLUES: Collaborative High-Quality Data Selection for LLMs via Training Dynamics DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:59:04.543992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37559ed8-5782-44c3-bd40-7f1aac894895 · inbound

Newfluence: Boosting Model interpretability and Understanding in High Dimensions cites this paper.

Newfluence: Boosting Model interpretability and Understanding in High Dimensions DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T17:05:26.188205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 685b9411-9efc-4cae-8004-a92971097cfa · inbound

Influence Functions for Preference Dataset Pruning cites this paper.

Influence Functions for Preference Dataset Pruning DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.444743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5808b216-d8c7-422f-80df-41426c8e9ac0 · inbound

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

Better Training Data Attribution via Better Inverse Hessian-Vector Products DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:42.548527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cfbaa79-bd68-4b9f-a64c-350d4bcbbfe1 · inbound

Understanding Data Influence with Differential Approximation cites this paper.

Understanding Data Influence with Differential Approximation DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T18:28:48.966978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd49227-867b-4d4e-96f6-2dc467f1592e · inbound

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization cites this paper.

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-02T19:52:19.944272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e1e642b-b84f-4050-8b14-43b97d8e860e · inbound

Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization cites this paper.

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T02:39:01.340481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d036e6bf-d18c-4a4c-97ef-ed4eb33123c9 · inbound

DataDignity: Training Data Attribution for Large Language Models cites this paper.

DataDignity: Training Data Attribution for Large Language Models DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:26:10.397185Z

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.

Observation 4d39f370-c1bb-49f8-8176-076173fdca0d · inbound

On the Fragility of Data Attribution When Learning Is Distributed cites this paper.

On the Fragility of Data Attribution When Learning Is Distributed DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:17:39.464689Z

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.

Observation aedcc4e2-5d2f-456b-83c6-9b4eda261253 · inbound

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning cites this paper.

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:56.644137Z

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.

Observation f225a8e2-aebe-45ae-8520-778d7edb3394 · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:53:57.917342Z

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.

Observation 8ba02484-088b-4f23-a433-2e50a8b94932 · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:46:39.757710Z

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.

Observation ca88689d-3ad8-40e4-93f5-6fc04dd6cf56 · inbound

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

DRIFT: Refining Instruction Data via On-Policy Data Attribution DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T19:18:54.708071Z

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.

Observation 296382bf-b552-4388-8294-4ef880ee5b58 · 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 DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T08:49:14.906050Z

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.

Observation a196bd61-631e-4e62-81be-ce15d5f33917 · inbound

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures cites this paper.

HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-03T16:48:39.417231Z

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.

Observation ebd29855-36cf-4707-9d0c-8e9697c3e249 · inbound

One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models cites this paper.

One Modality to Forget Them All: Enhancing Cross-Modal Unlearning in Vision-Language Models DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:01:05.395103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 306768cd-e2ae-447f-9207-16cc177f9a01 · inbound

Dataset Distillation by Influence Matching cites this paper.

Dataset Distillation by Influence Matching DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T19:49:24.018437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a582b594-9750-44f4-8e63-7a4495569e93 · inbound

A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines cites this paper.

A Reference-Free Framework for Evaluating Single-Frame ISP Pipelines DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-07-31T23:47:44.599829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.