Paper Citation Record · LEDGER

Influence Functions for Preference Dataset Pruning

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2507.14344.

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

pith.paper-citation-record.v1
2507.14344 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:09:23.499555Z

measured 17 of 17 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy1
unresolved15
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15f1a7b2-3520-4bc9-baf5-666ea60c85ae · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Influence Functions for Preference Dataset Pruning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.411674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6cf324b-4a72-416b-b084-966272757874 · outbound

This paper cites Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning.

Influence Functions for Preference Dataset Pruning Gradient Similarity: An Explainable Approach to Detect Adversarial Attacks against Deep Learning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.417032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a8c523-4eb3-47c0-aee9-23fb7feeb443 · outbound

This paper cites Impact of Preference Noise on the Alignment Performance of Generative Language Models.

Influence Functions for Preference Dataset Pruning Impact of Preference Noise on the Alignment Performance of Generative Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.422447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0878fca-1a38-480c-89c8-7f52b10465a4 · outbound

This paper cites Studying Large Language Model Generalization with Influence Functions.

Influence Functions for Preference Dataset Pruning Studying Large Language Model Generalization with Influence Functions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.428168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b753112-eac8-4516-9d07-e8a05368a152 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Influence Functions for Preference Dataset Pruning Lora: Low-rank adaptation of large language models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.433776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32499b97-b4a9-407c-a51b-96e6efd9b7c2 · outbound

This paper cites Understanding black-box predictions via influence functions.

Influence Functions for Preference Dataset Pruning Understanding black-box predictions via influence functions

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.439602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 66061f8f-4e7c-463b-907a-718713182124 · outbound

This paper cites Deep learning via hessian-free optimization.

Influence Functions for Preference Dataset Pruning Deep learning via hessian-free optimization

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:09:23.743955Z

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 60614bd7-f504-4242-98de-fba72ad1a421 · outbound

This paper cites Filtered Direct Preference Optimization.

Influence Functions for Preference Dataset Pruning Filtered Direct Preference Optimization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.456274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70913170-d709-4fe3-b351-0bb53113d922 · outbound

This paper cites Fast exact multiplication by the hessian.

Influence Functions for Preference Dataset Pruning Fast exact multiplication by the hessian

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.461819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e99f1e6-ecc3-49d8-8acf-c6c6ee38c5ef · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano.

Influence Functions for Preference Dataset Pruning Ziegler, Ryan Lowe, Chelsea Voss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.466946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2a8d3a5-f29c-4e6c-a723-76737d06d775 · outbound

This paper cites Dataset Pruning: Reducing Training Data by Examining Generalization Influence.

Influence Functions for Preference Dataset Pruning Dataset Pruning: Reducing Training Data by Examining Generalization Influence

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.472912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c0b5006-ba21-4c3d-a80d-6978d4a8fc5c · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Influence Functions for Preference Dataset Pruning Star: Bootstrapping reasoning with reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.478292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9674b528-a6df-4b4b-a15d-47c94d4be2ba · outbound

This paper cites write newline.

Influence Functions for Preference Dataset Pruning write newline

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.482874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f03e44a-c85d-4a68-a2b3-38d4d368d968 · outbound

This paper cites @esa (Ref.

Influence Functions for Preference Dataset Pruning @esa (Ref

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.488911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdda32f0-efe7-46ce-9c58-671280c6a987 · outbound

This paper cites an unresolved cited work.

Influence Functions for Preference Dataset Pruning Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:23.494825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2953b2bc-0af4-4720-ae3c-0dd193cb6fff · outbound

This paper cites """""""".

Influence Functions for Preference Dataset Pruning """"""""

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T16:09:23.668961Z

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.

Pith citing papers

No inbound Pith citation observations are available.