Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:1605.01713.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:32:13.324116Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
555
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f91fe0da-c4d0-4be0-9ecf-c220a99cdbd4 · inbound
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference cites this paper.
Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T23:53:39.358193Z
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.
Observation fa7ddcbb-4bbd-41dc-8826-c57499fc2ad7 · inbound
Explainable artificial intelligence (XAI): from inherent explainability to large language models cites this paper.
Explainable artificial intelligence (XAI): from inherent explainability to large language models Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 217
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:32:13.324116Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 263bd1d1-4c72-45c0-beeb-53bc2fab363c · inbound
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning cites this paper.
Perspectives for Direct Interpretability in Multi-Agent Deep Reinforcement Learning Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T17:58:35.877605Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2da007bb-b1b1-4fb6-898d-5bb62ce3a706 · inbound
Gradient-based Explanations for Deep Learning Survival Models cites this paper.
Gradient-based Explanations for Deep Learning Survival Models Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:51:47.579217Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9befa24f-ffe9-46e3-accd-36447c67d6f7 · inbound
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection cites this paper.
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 85
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T21:32:10.222972Z
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.
Observation c7a42161-63dd-40a6-b519-550fee8dd16e · inbound
On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models cites this paper.
On the Necessity of Multi-Domain Explanation: An Uncertainty Principle Approach for Deep Time Series Models Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:15:12.470034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64325dac-4991-4c87-9b3f-ed2d3dea7f14 · inbound
Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models cites this paper.
Evaluating LLMs Robustness in Less Resourced Languages with Proxy Models Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:31:51.614615Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c56b821-8dda-4043-833a-2d5766ed8d2e · inbound
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective cites this paper.
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 346
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:29:28.945832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b08a5f10-bfc0-453c-aa9f-16e1c268b26b · inbound
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations cites this paper.
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:29:42.468070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2d97ec9-835f-40ec-ac80-4aff50d97716 · inbound
On Spectral Properties of Gradient-based Explanation Methods cites this paper.
On Spectral Properties of Gradient-based Explanation Methods Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:35:48.394289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6681e530-d539-46e9-bf11-81d960529d28 · inbound
Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis cites this paper.
Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:16:53.897201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd3893d4-b398-416c-94d8-0498dd92cadc · inbound
Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation cites this paper.
Self-Explaining Reinforcement Learning for Mobile Network Resource Allocation Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:15:47.611031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 219eb060-a227-4385-ba6e-b7adc57a2aab · inbound
Causal Attribution via Activation Patching cites this paper.
Causal Attribution via Activation Patching Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T11:10:02.062901Z
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.
Observation 622df5b3-87b4-4cac-a886-474453fc11dc · inbound
Towards Verified and Targeted Explanations through Formal Methods cites this paper.
Towards Verified and Targeted Explanations through Formal Methods Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T11:54:05.610252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5256e0b5-11c7-4c40-8114-896da72c9aa4 · inbound
From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models cites this paper.
From Local to Global to Mechanistic: An iERF-Centered Unified Framework for Interpreting Vision Models Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T15:26:09.591404Z
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.
Observation 45ae9172-4df6-4e55-82de-92f254182b99 · inbound
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution cites this paper.
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:00:37.015708Z
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.
Observation d70f4c0f-d796-4bf3-895a-a133ecfcf113 · inbound
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution cites this paper.
Manifold-Aligned Guided Integrated Gradients for Reliable Feature Attribution Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T23:53:51.634813Z
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.
Observation c8825623-8429-4ea0-a8ca-6784aed7923e · inbound
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction cites this paper.
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:26:13.561570Z
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.
Observation 30a510e8-f549-40cb-a667-bf7ace006663 · inbound
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction cites this paper.
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T01:44:35.705178Z
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.
Observation 8cc01146-6df4-4b48-8375-760b4123d7ca · inbound
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction cites this paper.
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T08:24:03.544824Z
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.
Observation 4339e15b-2023-4dcc-8797-1a8e5f64d08a · inbound
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction cites this paper.
Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 91
- Resolution
- verified exact
- local_arxiv, observed 2026-05-21T08:24:03.385631Z
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.
Observation 15c1fdad-6571-4712-9d8d-f33934ef4146 · inbound
AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE cites this paper.
AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-02T01:36:25.752355Z
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.
Observation 3d23687b-07c0-44cb-b319-16279817ecbd · inbound
AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE cites this paper.
AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T07:48:12.576212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5caead10-6b68-45e6-8d1f-dc5e7a2c5cf7 · inbound
CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks cites this paper.
CIExplainer++: Generating Causal and Interpretable Explanations for Graph Neural Networks Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-04T01:09:19.630765Z
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.
Observation 372e6fa5-ee0c-4d04-8bae-314e01c1a488 · inbound
CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data cites this paper.
CALM: Interpretable Cross-Modal Alignment for Biomarker Discovery from Unpaired Data Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Reference 31
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T17:28:44.029609Z
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.