Paper Citation Record · LEDGER

Training Data Attribution via Approximate Unrolled Differentiation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.12186.

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

pith.paper-citation-record.v1
2405.12186 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:56:14.438057Z

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

1
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 483c882a-f64f-4e7d-acae-91c590f45f6e · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search Training Data Attribution via Approximate Unrolled Differentiation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:07:30.437834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 80fc41d0-17ec-41ec-9748-d54835f4572c · inbound

Daunce: Data Attribution through Uncertainty Estimation cites this paper.

Daunce: Data Attribution through Uncertainty Estimation Training Data Attribution via Approximate Unrolled Differentiation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:56:14.438057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1800acf-baf2-4dcb-9391-ed2922cc871b · inbound

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

Better Training Data Attribution via Better Inverse Hessian-Vector Products Training Data Attribution via Approximate Unrolled Differentiation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:42.418110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 801940c5-ffe8-44dd-a511-4229c3c8f6e9 · inbound

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis cites this paper.

What Is The Performance Ceiling of My Classifier? Utilizing Category-Wise Influence Functions for Pareto Frontier Analysis Training Data Attribution via Approximate Unrolled Differentiation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T11:38:25.550434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 886f89e9-31ef-42c4-a247-ea2348707e6d · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Training Data Attribution via Approximate Unrolled Differentiation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:53:57.944260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40846ee9-8ff3-4e2d-a160-2d81711675ff · inbound

Variance Reduction for Expectations with Diffusion Teachers cites this paper.

Variance Reduction for Expectations with Diffusion Teachers Training Data Attribution via Approximate Unrolled Differentiation

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:45:24.640090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ef3f4805-4227-4989-9803-2738cfe415b7 · inbound

Validity Threats for Foundation Model Research cites this paper.

Validity Threats for Foundation Model Research Training Data Attribution via Approximate Unrolled Differentiation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:36:44.910724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5701b543-758b-44e4-843f-6cc7046ba452 · 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 Training Data Attribution via Approximate Unrolled Differentiation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-26T08:49:14.959164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.