LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning | Paper Citation Record

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This paper cites P., and Singh, S.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning P., and Singh, S

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Task-free continual learning

Reference 2

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Gradient based sample selection for online continual learning

Reference 3

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This paper cites d., Serafini, L., and Spranger, M.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning d., Serafini, L., and Spranger, M

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Rainbow memory: Continual learning with a memory of diverse samples

Reference 5

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This paper cites R., d’A vila Garcez, A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., K ¨uhnberger, K.-U., Lamb, L.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning R., d’A vila Garcez, A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., K ¨uhnberger, K.-U., Lamb, L

Reference 6

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This paper cites Where is the Truth? The Risk of Getting Confounded in a Continual World.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Where is the Truth? The Risk of Getting Confounded in a Continual World

Reference 7

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This paper cites Neuro-symbolic artificial intelligence for safety engineering.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Neuro-symbolic artificial intelligence for safety engineering

Reference 8

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This paper cites Pitfalls in processing infinite-length sequences with pop- ular approaches for sequential data.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Pitfalls in processing infinite-length sequences with pop- ular approaches for sequential data

Reference 9

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This paper cites On probabilistic inference by weighted model counting.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning On probabilistic inference by weighted model counting

Reference 10

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This paper cites Towards neuro-symbolic video understanding.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Towards neuro-symbolic video understanding

Reference 11

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This paper cites Online continual learning from imbalanced data.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Online continual learning from imbalanced data

Reference 12

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This paper cites TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models

Reference 13

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This paper cites Nusmv 2: An opensource tool for symbolic model checking.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Nusmv 2: An opensource tool for symbolic model checking

Reference 14

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning A knowledge compilation map

Reference 15

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This paper cites Y.Linear temporal logic and linear dynamic logic on finite traces.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Y.Linear temporal logic and linear dynamic logic on finite traces

Reference 16

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This paper cites A contin- ual learning survey: Defying forgetting in classification tasks.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning A contin- ual learning survey: Defying forgetting in classification tasks

Reference 17

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This paper cites From statistical relational to neuro-symbolic artificial intelligence.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning From statistical relational to neuro-symbolic artificial intelligence

Reference 18

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This paper cites Synthesis lectures on artificial intelligence and machine learning 10, 2 (2016), 1–189.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Synthesis lectures on artificial intelligence and machine learning 10, 2 (2016), 1–189

Reference 19

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This paper cites Problog: A prob- abilistic prolog and its application in link discovery.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Problog: A prob- abilistic prolog and its application in link discovery

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This paper cites B., A vrunin, G.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning B., A vrunin, G

Reference 21

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This paper cites M., Trzcinski, T., Tuytelaars, T., and Bethge, M.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning M., Trzcinski, T., Tuytelaars, T., and Bethge, M

Reference 22

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This paper cites Neural computation 27, 2 (2015), 388–480.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Neural computation 27, 2 (2015), 388–480

Reference 23

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Collectionless Artificial Intelligence

Reference 24

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This paper cites Task-incremental learning on long text sequences.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Task-incremental learning on long text sequences

Reference 25

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This paper cites J., Karvounarakis, G., and Tannen, V.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning J., Karvounarakis, G., and Tannen, V

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Teaching Temporal Logics to Neural Networks

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Class-incremental learning with repetition

Reference 28

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This paper cites Chain-of-thought textual reasoning for few-shot temporal action localization.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Chain-of-thought textual reasoning for few-shot temporal action localization

Reference 29

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Algebraic model counting

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Learning multiple layers of features from tiny images

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Gradient- based learning applied to document recognition

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning R., Charlin, L., and Rish, I

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Interpretable deep learning: Interpretation, inter- pretability, trustworthiness, and beyond

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Learning without forgetting

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Scallop: A language for neu- rosymbolic programming

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This paper cites The clear bench- mark: Continual learning on real-world imagery.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning The clear bench- mark: Continual learning on real-world imagery

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Core50: a new dataset and bench- mark for continuous object recognition

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning L., De Lange, M., Masana, M., Pomponi, J., V an de Ven, G

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Gradient episodic memory for continual learning

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning S., Lippi, M., and Melacci, S

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning On the Hardness of Probabilistic Neurosymbolic Learning

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Online continual learning in image classification: An empirical survey

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Continuous learning in single- incremental-task scenarios

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning NeSyA: Neurosymbolic Automata

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Deepproblog: Neural probabilistic logic programming

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Benchmarking in neuro-symbolic ai

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Approximate infer- ence for neural probabilistic logic programming

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning S., Ivashynka, Y., Saxe, A., and Saglietti, L

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This paper cites Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Neuro-Symbolic Continual Learning: Knowledge, Reasoning Shortcuts and Concept Rehearsal

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LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Not all neuro-symbolic concepts are created equal: Analysis and mitigation of reasoning shortcuts

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This paper cites From statistical relational to neurosymbolic artificial intelligence: A survey.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning From statistical relational to neurosymbolic artificial intelligence: A survey

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This paper cites A Unified Framework for Neural Computation and Learning Over Time.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning A Unified Framework for Neural Computation and Learning Over Time

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7d2c0178-797f-44ef-af57-7a9324843aac · outbound

This paper cites Domain knowledge alleviates adver- sarial attacks in multi-label classifiers.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Domain knowledge alleviates adver- sarial attacks in multi-label classifiers

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.734701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6118efd3-2662-4112-8455-13cc8795904b · outbound

This paper cites P., Paprocki, M., ˇCert´ık, O., Kir- pichev, S.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning P., Paprocki, M., ˇCert´ık, O., Kir- pichev, S

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.726206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7f0dc37-55c6-4390-8f4e-5dee04e83a32 · outbound

This paper cites J., Becket, R., Brand, S., Duck, G.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning J., Becket, R., Brand, S., Duck, G

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.717722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0d75616-ec90-484d-81aa-18ce30822957 · outbound

This paper cites Y., et al.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Y., et al

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.709417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 711e8e08-23d6-43d5-9a16-664a9b88542d · outbound

This paper cites I., Kemker, R., Part, J.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning I., Kemker, R., Part, J

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.701011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca648262-a4d6-4136-82b5-99343713c637 · outbound

This paper cites The temporal logic of programs.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning The temporal logic of programs

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.692729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 26fc9570-e653-4a4e-834e-1f537a70e8a3 · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.684228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be5cd714-2e54-4f5d-bc79-ff4e433da029 · outbound

This paper cites L., V aidya, H., and Kanan, C.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning L., V aidya, H., and Kanan, C

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.675871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ccc1b5e-2ea1-40d2-8581-36cfc7c3b2c3 · outbound

This paper cites Imagenet large scale visual recognition challenge.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Imagenet large scale visual recognition challenge

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.667148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65f67ad5-8763-4f2d-a626-1b957a0c5b45 · outbound

This paper cites W., Pascanu, R., and Hadsell, R.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning W., Pascanu, R., and Hadsell, R

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.658566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9cf78aae-fa96-4b65-9b75-2dd6ab45b4f3 · outbound

This paper cites Video question answering: a survey of models and datasets.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Video question answering: a survey of models and datasets

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.648833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3df7f591-3fc9-465e-ad2d-d39e4dfb2f9b · outbound

This paper cites In Proceedings of the AAAI conference on artificial intelligence (2020), vol.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning In Proceedings of the AAAI conference on artificial intelligence (2020), vol

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.640604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a26dcc60-2708-4b38-a8aa-d672b684e864 · outbound

This paper cites Going deeper with convolutions.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Going deeper with convolutions

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.631997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7984583-af3e-427f-960c-682a9fcc7bfa · outbound

This paper cites Ltlbench: Towards benchmarks for evalu- ating temporal logic reasoning in large language models.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Ltlbench: Towards benchmarks for evalu- ating temporal logic reasoning in large language models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:03.763351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 342cb0a8-fa00-472b-8dc7-50d046878f13 · outbound

This paper cites Back to recurrent processing at the crossroad of trans- formers and state-space models.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Back to recurrent processing at the crossroad of trans- formers and state-space models

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.622675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da7c89e8-76ad-417b-98ad-ede854d7c723 · outbound

This paper cites Deepdfa: Automata learning through neural probabilistic relaxations.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Deepdfa: Automata learning through neural probabilistic relaxations

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.613666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1f4ff863-f76a-420f-9750-6146c539281b · outbound

This paper cites Grounding ltlf specifications in image sequences.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Grounding ltlf specifications in image sequences

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.604970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f79df054-0fc5-48c3-83be-36c81e569cfe · outbound

This paper cites Analyzing differentiable fuzzy logic operators.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Analyzing differentiable fuzzy logic operators

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.596704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 944f6993-3dbd-4694-a0c0-3e397f9c2804 · outbound

This paper cites On the Independence Assumption in Neurosymbolic Learning.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning On the Independence Assumption in Neurosymbolic Learning

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:53:03.967439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 459dac9e-7408-459f-a12c-594fb051aeb3 · outbound

This paper cites Symbolic au- tomata constraint solving.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Symbolic au- tomata constraint solving

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.587762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 018c8432-9f82-437c-ac0d-8f98802c3820 · outbound

This paper cites IEEE Transac- tions on Pattern Analysis and Machine Intelligence (2024).

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning IEEE Transac- tions on Pattern Analysis and Machine Intelligence (2024)

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.579414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cba6d80a-90b4-43c5-8e8c-3e82ac633832 · outbound

This paper cites Deepstochlog: Neural stochastic logic programming.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Deepstochlog: Neural stochastic logic programming

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.571049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b5563b7b-e5b7-4d33-a65b-7672a49a3b76 · outbound

This paper cites Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.562329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f6aad1d-8c11-4fc7-a325-6c584bd6b519 · outbound

This paper cites Large Language Models Can Learn Temporal Reasoning.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Large Language Models Can Learn Temporal Reasoning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:03.789789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca93fd40-ae5a-4d02-bb7e-c664a1980b08 · outbound

This paper cites A semantic loss function for deep learning with symbolic knowledge.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning A semantic loss function for deep learning with symbolic knowledge

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.553604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation da1b2ce7-8ff5-41b7-aa53-0a041a5ee490 · outbound

This paper cites Neuro-Symbolic Temporal Point Processes.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Neuro-Symbolic Temporal Point Processes

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:53:03.945927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 582a0e71-0c34-4668-9130-883dd9d7c509 · outbound

This paper cites Continual learning through synaptic intelligence.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Continual learning through synaptic intelligence

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.544373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fa0e0a3-ab19-4513-8737-c0a2b6310812 · outbound

This paper cites Slca: Slow learner with classifier alignment for continual learning on a pre- trained model.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Slca: Slow learner with classifier alignment for continual learning on a pre- trained model

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.535874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7bf6e584-9e3f-4d36-8cd7-c3a05ed3029a · outbound

This paper cites Continual Learning with Pre-Trained Models: A Survey.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Continual Learning with Pre-Trained Models: A Survey

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T14:53:03.803463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c82c6c-007c-4632-82ad-a4c75b6c000b · outbound

This paper cites Continual learning with unknown task boundary.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Continual learning with unknown task boundary

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.527568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bbe88037-dc4b-4a7b-b76c-b9a681a06343 · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.518620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d3594bc-1f97-4799-a9c4-53d3657de41a · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.509951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 81f17e86-e49b-430c-9960-40790c83cfca · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.502196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0419d1f-74d8-438e-b4e9-30647474b89c · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.493838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 088962b0-a18c-4df5-8039-8a4dac050110 · outbound

This paper cites [yes] Articles containing theoretical contributions: Does this paper make theoretical contributions? [no] If yes, please complete the list below.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes] Articles containing theoretical contributions: Does this paper make theoretical contributions? [no] If yes, please complete the list below

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.486032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 228488c7-64c5-4077-b2bc-54a1a7fda3bd · outbound

This paper cites [yes/partially/no] 29https://wandb.ai.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes/partially/no] 29https://wandb.ai

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.477804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 971678b9-b2f2-45d6-8867-d7e793805a64 · outbound

This paper cites [yes/partially/no].

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes/partially/no]

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.468769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61dc57ff-0682-4110-b75e-bcb46e96901d · outbound

This paper cites [yes/partially/no].

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes/partially/no]

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.460387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 087bb5e7-0592-4cb2-9299-0413e7ba47cf · outbound

This paper cites [yes/partially/no].

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes/partially/no]

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.451943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e83a725-333f-47f5-ab27-714e528d69cc · outbound

This paper cites [yes/partially/no].

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes/partially/no]

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.442432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 361b5fe9-7bf5-4b03-afd7-51a1dfa145cd · outbound

This paper cites [yes/partially/no] Articles reporting on computational experiments: Does this paper include computational experiments? [yes] If yes, please complete the list below.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning [yes/partially/no] Articles reporting on computational experiments: Does this paper include computational experiments? [yes] If yes, please complete the list below

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.434569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fb287ab-1bfc-4ab4-b5ae-3fd631799529 · outbound

This paper cites The online appendix follows best practices for source code readability and documentation as well as for long-term accessibility.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning The online appendix follows best practices for source code readability and documentation as well as for long-term accessibility

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.426008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 597b609d-ad39-4431-ab7a-a86c0e61e9ed · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.417351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca127937-2b85-486f-8230-134a0ce1d71b · outbound

This paper cites an unresolved cited work.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:53:04.409378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a26a97b9-5588-4eab-b3f2-8031155842e4 · outbound

This paper cites The online appendix follows best practices for long-term accessibility.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning The online appendix follows best practices for long-term accessibility

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:53:04.401250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers