Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks | Paper Citation Record

Observation 3e19aea6-6e8b-4f4e-aefe-abde3be621a3 · outbound

This paper cites A unified approach to interpreting model predictions.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks A unified approach to interpreting model predictions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.112631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a7d551c-6266-4f3f-bdae-4fa66f17c819 · outbound

This paper cites ”why should I trust you?” explaining the predictions of any classifier.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks ”why should I trust you?” explaining the predictions of any classifier

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.283929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1ee8903-e382-4a01-bab9-32ee23e6d613 · outbound

This paper cites Grad-cam: Visual ex- planations from deep networks via gradient-based localization.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Grad-cam: Visual ex- planations from deep networks via gradient-based localization

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.268901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 77b7376e-e923-4931-867f-f0fb498eb939 · outbound

This paper cites A comprehensive and reliable feature attribution method: Double-sided remove and reconstruct (dorar).

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks A comprehensive and reliable feature attribution method: Double-sided remove and reconstruct (dorar)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.254072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8503d5fb-9bff-4229-bc5b-af5610938f76 · outbound

This paper cites Towards better explanations of class activation mapping.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Towards better explanations of class activation mapping

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.239211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6eeb951a-175c-41ba-a952-2f60e71c8669 · outbound

This paper cites On completeness-aware concept-based explana- tions in deep neural networks.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks On completeness-aware concept-based explana- tions in deep neural networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.223172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 85388c8d-4b41-46cf-a5c8-4d2b4c1f056b · outbound

This paper cites Towards automatic concept-based explanations.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Towards automatic concept-based explanations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.207081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 363ba07f-bf0c-4bd0-bad0-4acb6e823b2e · outbound

This paper cites From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.147396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86e43cbc-fa1e-4225-9c3f-77b80f405c32 · outbound

This paper cites Towards robust interpretabil- ity with self-explaining neural networks.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Towards robust interpretabil- ity with self-explaining neural networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.192209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 49080792-90d6-47d6-940a-d4d470f6948f · outbound

This paper cites Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.156392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 432305c9-d5c3-476a-b0b0-074bd3e7f1a4 · outbound

This paper cites Interpretability beyond feature attribution: Quan- titative testing with concept activation vectors (tcav).

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Interpretability beyond feature attribution: Quan- titative testing with concept activation vectors (tcav)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.176591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 30693b45-ee61-4e7a-8db4-f5536b5ac38d · outbound

This paper cites Network dissection: Quantifying interpretability of deep visual representations.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Network dissection: Quantifying interpretability of deep visual representations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.162156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a63b3072-08b7-46ab-b2d7-85029cd21d10 · outbound

This paper cites A general reinforcement learning algo- rithm that masters chess, shogi, and go through self-play.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks A general reinforcement learning algo- rithm that masters chess, shogi, and go through self-play

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.147458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 911a3c94-5713-40dc-a677-f2a5a429d5b8 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Progress measures for grokking via mechanistic interpretability

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.175780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1842cfb7-7f37-468b-a1ea-81b2ccf06d69 · outbound

This paper cites Explainable ar- tificial intelligence (XAI): What we know and what is left to attain trust- worthy artificial intelligence.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Explainable ar- tificial intelligence (XAI): What we know and what is left to attain trust- worthy artificial intelligence

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.132161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aa12ce63-b664-4f63-b22a-165f86cee822 · outbound

This paper cites Learning a SAT solver from single-bit su- pervision.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Learning a SAT solver from single-bit su- pervision

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.116473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 20b15a1a-63f5-4ada-8ca6-f4290cb6a15e · outbound

This paper cites Concept learners for few- shot learning.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Concept learners for few- shot learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.097482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a281bdb2-3f58-4a89-8fd2-d2cf18887832 · outbound

This paper cites Concept-cognitive learning sur- vey: Mining and fusing knowledge from data.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Concept-cognitive learning sur- vey: Mining and fusing knowledge from data

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.079986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 55685851-a256-4b29-b929-76199896eb57 · outbound

This paper cites Efficient graph coloring with neural networks: A physics-inspired approach for large graphs.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Efficient graph coloring with neural networks: A physics-inspired approach for large graphs

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-11T15:17:23.637834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 03304466-a93e-4fad-8ddc-7b89a70badba · outbound

This paper cites Can hybrid geometric scattering networks help solve the maximum clique problem? In Sanmi Koyejo, S.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Can hybrid geometric scattering networks help solve the maximum clique problem? In Sanmi Koyejo, S

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.061024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1e5e1952-dc39-4305-8f06-26feb4aab6f9 · outbound

This paper cites Rethinking Graph Neural Networks for the Graph Coloring Problem.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Rethinking Graph Neural Networks for the Graph Coloring Problem

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.208712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a08b682e-06b9-4572-be38-c8435216d478 · outbound

This paper cites A spectral technique for random satisfiable 3 cnf formulas.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks A spectral technique for random satisfiable 3 cnf formulas

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.039251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7bb7813d-10c8-4edf-b394-31b29ab59120 · outbound

This paper cites Algorithms for random 3-sat.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Algorithms for random 3-sat

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.021127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b5a70e27-ea88-4b39-a05a-7a9ed5e28ffd · outbound

This paper cites Algorithmic barriers from phase transitions.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Algorithmic barriers from phase transitions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:24.002221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1ce74dba-96c2-4756-b130-26af09ff6e05 · outbound

This paper cites Local search strategies for satisfiability testing.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Local search strategies for satisfiability testing

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.983717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5f1e60c8-61f1-42f5-aa22-cda4a3ad29bf · outbound

This paper cites Instability of one-step replica-symmetry-broken phase in satisfiability problems.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Instability of one-step replica-symmetry-broken phase in satisfiability problems

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:17:23.505724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea4d88b9-4653-43be-8585-c2933a6d2bb1 · outbound

This paper cites Focused Local Search for Random 3-Satisfiability.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Focused Local Search for Random 3-Satisfiability

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:17:23.484184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 990442ba-5dd9-4f3c-b837-4a6bbd8ee0ba · outbound

This paper cites Axiomatic attribu- tion for deep networks.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Axiomatic attribu- tion for deep networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.964729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2e49f90d-d84e-40f0-a259-6e46286398f6 · outbound

This paper cites DISSECT: Disentangled Simultaneous Explanations via Concept Traversals.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks DISSECT: Disentangled Simultaneous Explanations via Concept Traversals

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:17:23.461596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d960fa75-4fae-4c26-abb2-c801599a1c45 · outbound

This paper cites Concept learning through deep reinforcement learning with memory-augmented neural networks.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Concept learning through deep reinforcement learning with memory-augmented neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.946625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7fa8080a-95a0-44fb-8171-d46aff2af154 · outbound

This paper cites In-context Learning and Induction Heads.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks In-context Learning and Induction Heads

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.256816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1053a2-a712-4875-81ac-67b10aa56481 · outbound

This paper cites The Quantization Model of Neural Scaling.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks The Quantization Model of Neural Scaling

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.261407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7652b228-acc2-4c9a-baf1-665eb3045668 · outbound

This paper cites Interpretability in the wild: a circuit for indirect object identification in gpt-2 small.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Interpretability in the wild: a circuit for indirect object identification in gpt-2 small

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.928419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b6dd5b96-1999-4069-b1a7-ac8dd230582a · outbound

This paper cites Zoom in: An introduction to circuits.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Zoom in: An introduction to circuits

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:17:23.269731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2be09d9-286f-42e0-9d2a-caf05d445786 · outbound

This paper cites Reinforced continual learning for graphs.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Reinforced continual learning for graphs

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.889011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6dd44b60-2318-4666-a816-44a13657528f · outbound

This paper cites Conlearn: Contextual-knowledge- aware concept prerequisite relation learning with graph neural network.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Conlearn: Contextual-knowledge- aware concept prerequisite relation learning with graph neural network

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.873963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0880e92a-8f21-4039-9a7f-f7290f666cb2 · outbound

This paper cites Gonzalez, Lawrence B.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Gonzalez, Lawrence B

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.859113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6e0e6501-f511-4a0a-a1c5-2458a212c289 · outbound

This paper cites Zcha ff2004: An ef- ficient sat solver.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Zcha ff2004: An ef- ficient sat solver

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.844633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a19ae2d3-dba6-4487-a81a-a30a26a92f40 · outbound

This paper cites Guiding high-performance sat solvers with unsat-core predictions.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Guiding high-performance sat solvers with unsat-core predictions

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.828974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 617c001c-ab04-4620-9596-80af1f69af10 · outbound

This paper cites Learning local search heuristics for boolean satisfiability.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Learning local search heuristics for boolean satisfiability

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.814680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 76da5799-33fe-46ac-9300-dfda92f372cf · outbound

This paper cites SATzilla: Portfolio-based Algorithm Selection for SAT.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks SATzilla: Portfolio-based Algorithm Selection for SAT

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:17:23.405869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6ac01f42-de64-469a-8363-2eba4d66324b · outbound

This paper cites Combinatorial optimization and rea- soning with graph neural networks.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Combinatorial optimization and rea- soning with graph neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.799028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d028e74c-7dd9-4757-88bf-9af71861a0e8 · outbound

This paper cites RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks RNNs, CNNs and Transformers in Human Action Recognition: A Survey and a Hybrid Model

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-11T15:17:23.383462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b9a5deab-2c0e-4851-9a72-6fdee00be4f0 · outbound

This paper cites Exact combinatorial optimization with graph convolutional neural networks.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Exact combinatorial optimization with graph convolutional neural networks

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.781889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ace7538a-dc12-4b69-8dc1-c2254a3bd6ad · outbound

This paper cites Threshold val- ues of random k-sat from the cavity method.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Threshold val- ues of random k-sat from the cavity method

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.764686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 43464948-73be-4cf5-b13d-865ae4ed165b · outbound

This paper cites Gibbs states and the set of solutions of random constraint satisfaction problems.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Gibbs states and the set of solutions of random constraint satisfaction problems

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.749308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 534d226e-fdb4-4234-b35b-bfa5b7ff0055 · outbound

This paper cites Why al- most all satisfiable k-cnf formulas are easy.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Why al- most all satisfiable k-cnf formulas are easy

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.734288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 320cbc0d-fbe5-4b2c-94e7-fdd03dc6068e · outbound

This paper cites Satlib: An online resource for re- search on sat.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Satlib: An online resource for re- search on sat

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.718638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9b3980c5-8a74-4c14-a981-5ad2f8c2d3f4 · outbound

This paper cites Beyond interpretability: developing a language to shape our relationships with ai.

Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networks Beyond interpretability: developing a language to shape our relationships with ai

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:17:23.703100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers