Paper Citation Record · LEDGER

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2605.15700.

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

pith.paper-citation-record.v1
2605.15700 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-20T20:01:56.920335Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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 exact4
verified fuzzy2
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 094a1fd7-3f47-4c9a-ae33-ebf3ec2929ea · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.454463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 747e00a3-3a8c-448a-b06a-793e87e14957 · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.450996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d804d3ba-5ce6-4287-8a5a-51fc6a3d7f73 · outbound

This paper cites AMLB: an AutoML Benchmark.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark AMLB: an AutoML Benchmark

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.693581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e0f1367-9146-4c74-a4ae-ff0627ca44fd · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.446887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c2070d11-4337-4588-a6a7-e4d0cea42f58 · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.457425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8090e394-8c81-472b-9d1d-bf7a2bca5e80 · outbound

This paper cites AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-20T20:03:43.702330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c21ce951-bbc0-41c8-8d67-fddedab46398 · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.481163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dbceadb7-8088-45a7-b635-4c7b3e1a4495 · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.477850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6d9a6768-f600-4836-86ff-a0a9db9a5f0e · outbound

This paper cites Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.708017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3cd125c7-7533-4bb7-8b4d-36780f0c1404 · outbound

This paper cites why should i trust you?.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark why should i trust you?

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:45.474358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3431a1dd-8f1b-4d7f-97b0-19e283ff1af8 · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.484726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e1333242-581c-431f-8227-99d09f3e5e10 · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.487708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 60515455-11a5-4723-abeb-16f9c90e61bf · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.467897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f24968c-da5a-4735-8a4f-533e5c47ef3d · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.471244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 97496f47-f543-40a8-a24e-469625389d6e · outbound

This paper cites an unresolved cited work.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-05-20T20:03:45.460976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 083b6b80-17dc-4670-820e-342ca6ad4a1c · outbound

This paper cites Benchmarking Attribution Methods with Relative Feature Importance.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark Benchmarking Attribution Methods with Relative Feature Importance

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-20T20:03:43.687442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a34f402-7c36-4ccb-90db-a2928ad802ae · outbound

This paper cites and Lien, C.-h.

AGOP-IxG: A Gradient Covariance Filter for Local Feature Attribution on Tabular Data, with a Controlled Benchmark and Lien, C.-h

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-20T20:03:45.464491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.