Paper Citation Record · LEDGER

Estimating Training Data Influence by Tracing Gradient Descent

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2002.08484.

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

pith.paper-citation-record.v1
2002.08484 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:28:32.507165Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.875861Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7650d613-c445-4905-aa1f-af0ea6e173af · inbound

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks cites this paper.

DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks Estimating Training Data Influence by Tracing Gradient Descent

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.439479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 446f04a7-9d6d-434d-93ff-edcac189c2ed · inbound

When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.

When unlearning is free: leveraging low influence points to reduce computational costs Estimating Training Data Influence by Tracing Gradient Descent

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T18:28:32.507165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c159ce-1e0d-43bb-9a02-e9d026560db4 · inbound

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cites this paper.

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Estimating Training Data Influence by Tracing Gradient Descent

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:43.109362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f635a768-3758-424c-a018-f1e72d98b768 · 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 Estimating Training Data Influence by Tracing Gradient Descent

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:48:01.020637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3352af87-c686-4285-9da9-d981d2c28f60 · 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 Estimating Training Data Influence by Tracing Gradient Descent

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:11.881072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b219f61-860f-454c-9ac9-fd13d30be752 · inbound

Let the Target Select for Itself: Data Selection via Target-Aligned Paths cites this paper.

Let the Target Select for Itself: Data Selection via Target-Aligned Paths Estimating Training Data Influence by Tracing Gradient Descent

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.005919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8800ab39-58a8-4af0-87ae-710e28aadeee · inbound

SALT: When More Rollouts Don't Help in Group-Based Policy Optimization and How to Make Them Matter cites this paper.

SALT: When More Rollouts Don't Help in Group-Based Policy Optimization and How to Make Them Matter Estimating Training Data Influence by Tracing Gradient Descent

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:56.166054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bf36f196-3744-4671-a195-093c825fdbd9 · inbound

Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment cites this paper.

Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment Estimating Training Data Influence by Tracing Gradient Descent

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:19:38.877819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 80ed8efe-3b24-45f2-807e-4eba225cedd1 · inbound

Dataset Distillation by Influence Matching cites this paper.

Dataset Distillation by Influence Matching Estimating Training Data Influence by Tracing Gradient Descent

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T19:49:25.386620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.