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Paper Citation Record · LEDGER

Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.03549.

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

pith.paper-citation-record.v1
2002.03549 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:13:38.276521Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T19:52:44.738018Z

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 ef3ab90f-66d4-48da-99a3-5b46a77186ac · inbound

Concept Boundary Vectors cites this paper.

Concept Boundary Vectors Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T11:13:38.276521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:13:38.276521Z digest=sha256:3e30e5be306daafe0f74237bfd64ea7d21d6eeec668dc013f99ff72ee7546941

Observation 35e947fb-cb05-49fe-94d2-c7c4bcf51e5e · inbound

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models cites this paper.

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:55:59.788211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T16:26:32.447186Z digest=sha256:9345007a1abb18646381baede4853530eb92d70962ffcbe62cbd5d75b82f17fa

Observation 4544af97-4007-4806-b516-2425bb5472be · inbound

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models cites this paper.

A High-Resolution Landscape Dataset for Concept-Based XAI With Application to Species Distribution Models Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-12T20:55:34.837390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T20:55:34.837390Z digest=sha256:693d51b9e28c6a8602b03cbdfa19ae7d645f306a5b2fc4dd4685330f71116a13

Observation d762a170-bbb7-4883-ad46-8906f1704d52 · inbound

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors cites this paper.

$\alpha$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-05-19T19:52:44.739469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-19T19:47:59.664096Z digest=sha256:6b27c863fb58c2cc04459777cff8c3a1f7d84b0ec270734e203cfc467e775d7e