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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:c018191dd7274a1b66792d28b76e4f3be678968312c4615ee5363e5d9be1216a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:9d1d7db5cfc7ca86eb8ad9b5419d43a64b331d014660cab10308bf0651a2681f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:3a83df1446ea8d356c208e43160922298d33866ccdb7c6298817c30a2a2dedb4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:4fc5375786406fff45a0ce0c50d2de5c9e8741c960b70e813401a315bdc49a07

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:fdc84c1dfc857c6083a93cfd0f35b9b7d2ccaaff350762966d9dcdc3d0c547a8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:a9a1c77f2794defac7ca8b4f1fb4e43d3c1580953ccb549ca659ee44f7b83ee2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:2134d6f7d6097ffec890abafc87dbe65553f6c9ffaeba2ed31e499fd7c52f747

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:7e7cdb3a45b02544d9435e20a715739066de8696dac85a325141094147c9da1f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:ef7231b5099e6198fb48f4127bdbacb0fd52945fb0cd83e67ce58865af62c830

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:ca7c85c3b0fce83dae666a1f622c76cfe29de502728e304f136e35489bc83f07

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:ba6cb4182c3952c1207dcd34467c28f447a64b7670d8f2d6222ebfc9e783abc1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:6b7f4ffe61b787780b76db72474bee8c0275dd27b9fd32a29ed77105e5cd399e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:4c55bc77576e11e214c0ebf5f67e362022d9d92a6fba8874575f0b5cc674153e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:8bd5610dabb1c2c9af23dac8f8e2a8842dbbd426db5a18fe8f2903f9f29e4485

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:411228638537765d4da45abfb6eab18378cca52bbc8eba4257340797f7216e84

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:f0244530eac78acb9507bbe18d8a9abd57b5377a7a891656d1a9280860c8121f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T20:01:56.920335Z digest=sha256:67951f53f3176e53d79c3ddb8c8d7754524d48e487f36a6000732221cedf5870

Pith citing papers

No inbound Pith citation observations are available.