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Paper Citation Record · LEDGER

Reasoning in Neurosymbolic AI

As of 15 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2505.20313.

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

pith.paper-citation-record.v1
2505.20313 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:04:12.846995Z

measured 59 of 59 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:19:26.486227Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:19:27.572540Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact2
  • verified fuzzy42
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e790779e-38a1-4eda-aef9-b11aa4465d2f · outbound

This paper cites Learning to solve circuit-sat: An unsupervised differentiable approach.

Reasoning in Neurosymbolic AI Learning to solve circuit-sat: An unsupervised differentiable approach

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e0273699-c25e-4765-8d00-fca0572b3c48 · outbound

This paper cites Logic tensor networks.

Reasoning in Neurosymbolic AI Logic tensor networks

Reference 2

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no resolver link, observed 2026-08-07T15:04:10.205950Z

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Unavailable: canonical work link unavailable.

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Observation 4eeff2e2-fc5d-4da1-aadc-25c4c39c6340 · outbound

This paper cites Learning optimal chess strategies.

Reasoning in Neurosymbolic AI Learning optimal chess strategies

Reference 3

Resolution
verified fuzzy
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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.

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Observation 34b99a46-451c-49a8-9c97-eb1cdffd75a8 · outbound

This paper cites Applications of maxsat in data analysis.

Reasoning in Neurosymbolic AI Applications of maxsat in data analysis

Reference 4

Resolution
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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.

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Observation 0cd90d73-6f6a-4377-9a77-ecd772440c9c · outbound

This paper cites Besold, Artur d’Avila Garcez, Ernesto Jim´ enez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, and Benedikt Wagner, editors.

Reasoning in Neurosymbolic AI Besold, Artur d’Avila Garcez, Ernesto Jim´ enez-Ruiz, Roberto Confalonieri, Pranava Madhyastha, and Benedikt Wagner, editors

Reference 5

Resolution
verified fuzzy
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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.

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Observation b0b2fd60-88c1-4088-aa09-e070729c0a3c · outbound

This paper cites TensorLog: Deep Learning Meets Probabilistic DBs.

Reasoning in Neurosymbolic AI TensorLog: Deep Learning Meets Probabilistic DBs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:10.716650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3014da01-4cfc-42d0-af5f-eee2b98e7b15 · outbound

This paper cites d’Anjou, M.

Reasoning in Neurosymbolic AI d’Anjou, M

Reference 7

Resolution
verified fuzzy
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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.

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Observation 82c29847-9a40-4a27-b216-fceb4be0735a · outbound

This paper cites d’Avila Garcez, K.

Reasoning in Neurosymbolic AI d’Avila Garcez, K

Reference 8

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verified fuzzy
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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.

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Observation d3abc97a-fb5d-4326-94b7-4cb40246ae93 · outbound

This paper cites d’Avila Garcez, L.

Reasoning in Neurosymbolic AI d’Avila Garcez, L

Reference 9

Resolution
verified fuzzy
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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.

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Observation 3f3951f1-e816-4db9-88f2-5dddb455ee42 · outbound

This paper cites Hypergraph neural networks with logic clauses.

Reasoning in Neurosymbolic AI Hypergraph neural networks with logic clauses

Reference 10

Resolution
verified fuzzy
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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.

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Observation d4580091-f1e3-4613-b010-c8e8271f9ebf · outbound

This paper cites Donadello, L.

Reasoning in Neurosymbolic AI Donadello, L

Reference 11

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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.

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Observation 0b367b1c-bc3a-4806-9aa6-71524848809c · outbound

This paper cites Evans and E.

Reasoning in Neurosymbolic AI Evans and E

Reference 12

Resolution
verified fuzzy
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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.

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Observation e926a148-1ae4-4fb7-ba62-a962d1dea7bc · outbound

This paper cites Fran¸ ca, G.

Reasoning in Neurosymbolic AI Fran¸ ca, G

Reference 13

Resolution
verified fuzzy
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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.

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Observation d558c395-1fc7-4fb3-b6fe-a9fc9796d2ca · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 14

Resolution
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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.

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Observation 94d7356c-c744-49f4-ac12-38d7c5195749 · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 15

Resolution
unresolved
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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.

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Observation 6ca48701-d8e5-4367-99e3-df0032eb480b · outbound

This paper cites Ccn+: A neuro-symbolic framework for deep learning with re- quirements.

Reasoning in Neurosymbolic AI Ccn+: A neuro-symbolic framework for deep learning with re- quirements

Reference 16

Resolution
verified fuzzy
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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.

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Observation 285c2863-777e-4b23-9f2e-b2d8e60f066d · outbound

This paper cites Hernandez, F.

Reasoning in Neurosymbolic AI Hernandez, F

Reference 17

Resolution
verified fuzzy
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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.

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Observation 287ea1b4-afa4-4bcd-a446-b0c148a7525b · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 18

Resolution
unresolved
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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.

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Observation 6b84bd89-47be-4851-9956-4af31d0910cd · outbound

This paper cites Hinton, Simon Osindero, and Yee-Whye Teh.

Reasoning in Neurosymbolic AI Hinton, Simon Osindero, and Yee-Whye Teh

Reference 19

Resolution
verified fuzzy
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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.

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Observation 60c6adc1-eb3d-43bf-8c23-4adbb85eb31c · outbound

This paper cites Decoding intentions.

Reasoning in Neurosymbolic AI Decoding intentions

Reference 20

Resolution
verified fuzzy
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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.

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Observation b9efacaf-6796-477f-8a7e-f2ae26ed6eb7 · outbound

This paper cites Thinking, fast and slow.

Reasoning in Neurosymbolic AI Thinking, fast and slow

Reference 21

Resolution
verified fuzzy
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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.

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Observation 62fec922-7bc7-4635-b38e-b2ca664a61c1 · outbound

This paper cites Finding pre-production vehicle configurations using a maxsat framework.

Reasoning in Neurosymbolic AI Finding pre-production vehicle configurations using a maxsat framework

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:15.416009Z

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.

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Observation 0765c195-0440-48d7-800c-1fe46aa55611 · outbound

This paper cites King, Michael J.

Reasoning in Neurosymbolic AI King, Michael J

Reference 23

Resolution
verified fuzzy
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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.

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Observation b2abaacf-fc6e-4281-b362-b31c69f3ff8f · outbound

This paper cites Kirkpatrick, C.

Reasoning in Neurosymbolic AI Kirkpatrick, C

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 21fd740d-4ad0-4c7d-a829-fda091500247 · outbound

This paper cites Learning max-sat from contextual examples for combinatorial optimisation.

Reasoning in Neurosymbolic AI Learning max-sat from contextual examples for combinatorial optimisation

Reference 25

Resolution
verified fuzzy
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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.

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Observation d761cff3-5ac6-4744-a043-8f3febae3522 · outbound

This paper cites Learning algorithms for the classification restricted boltzmann machine.

Reasoning in Neurosymbolic AI Learning algorithms for the classification restricted boltzmann machine

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:15.151682Z

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.

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Observation a35faf38-d843-4340-8552-c50189a9c9df · outbound

This paper cites Can graph neural networks learn to solve the maxsat problem? (student abstract).

Reasoning in Neurosymbolic AI Can graph neural networks learn to solve the maxsat problem? (student abstract)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:15.060928Z

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.

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Observation fb8da4fa-981e-4676-b5ba-720a668911ff · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:04:14.975739Z

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.

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Observation 1ea8a9b1-4721-4cd7-811b-ac359c80fa4f · outbound

This paper cites DeepProbLog: Neural probabilistic logic pro- gramming.

Reasoning in Neurosymbolic AI DeepProbLog: Neural probabilistic logic pro- gramming

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.924491Z

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.

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Observation fe776c0c-049b-407b-b7bd-d1bc4ecf1228 · outbound

This paper cites Chip War: The Fight for the World’s Most Critical Technol- ogy.

Reasoning in Neurosymbolic AI Chip War: The Fight for the World’s Most Critical Technol- ogy

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.793444Z

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.

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Observation f90c2ee5-8174-4d6c-9eb2-07594781958d · outbound

This paper cites Gsm-symbolic: Understanding the limi- tations of mathematical reasoning in large language models, 2024.

Reasoning in Neurosymbolic AI Gsm-symbolic: Understanding the limi- tations of mathematical reasoning in large language models, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.721171Z

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.

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Observation b315aad7-8cd0-4670-a210-c5f8ea2ed896 · outbound

This paper cites Maxsat-based mcs enumeration.

Reasoning in Neurosymbolic AI Maxsat-based mcs enumeration

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.645570Z

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.

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Observation ae0de1c4-6058-4098-9203-a92e88efa25f · outbound

This paper cites Closing the neural-symbolic cycle: Knowledge extraction, user intervention and distillation from convolutional neural net- works.

Reasoning in Neurosymbolic AI Closing the neural-symbolic cycle: Knowledge extraction, user intervention and distillation from convolutional neural net- works

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.567758Z

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=2026-08-07T15:04:12.012092Z digest=sha256:e83115a6b828618b23bf8b481b5359ba04857e67ca2f2eda0d7a1476d72adfeb

Observation db6b3d60-ad73-442f-9fbd-57cf638d7b70 · outbound

This paper cites A semantic framework for neu- rosymbolic computation.

Reasoning in Neurosymbolic AI A semantic framework for neu- rosymbolic computation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.435282Z

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.

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Observation d5066f33-dae7-45ff-ae32-1f0e48b22216 · outbound

This paper cites de Penning, A.

Reasoning in Neurosymbolic AI de Penning, A

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.405793Z

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=2026-08-07T15:04:12.146792Z digest=sha256:ad4afadedd1dddb30004086a5f21f50dfe8e99e791d89389809cd2b91c9edf72

Observation e6a7d9c5-6e78-48f9-a582-0cff947a8958 · outbound

This paper cites Accountability in AI: From Principles to Industry-specific Accreditation.

Reasoning in Neurosymbolic AI Accountability in AI: From Principles to Industry-specific Accreditation

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:04:13.014353Z

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=2026-08-07T15:04:12.150491Z digest=sha256:4458005fecf9c149fd35a5ddf9adc8b0392b8356ba0c9294430565f5ba3ef0c2

Observation fc2304a7-fda1-4b8c-bcde-dc692cdc9bea · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:04:14.289591Z

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=2026-08-07T15:04:12.154857Z digest=sha256:b3b08d7e4c1b8a8f9b07856562bc8239a37816a170fd1719997e3cb8f1029ee8

Observation aed4d883-43c3-427d-b16f-0dc961312a69 · outbound

This paper cites Symmetric neural networks and propositional logic satisfia- bility.

Reasoning in Neurosymbolic AI Symmetric neural networks and propositional logic satisfia- bility

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.222030Z

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=2026-08-07T15:04:12.209665Z digest=sha256:48893f6f5d0ab4b3756a86e94090acf833728c9aa0c88a3525d7606a325b6230

Observation b6094f61-15ab-45ef-9971-fabbafff20f9 · outbound

This paper cites Markov logic networks.

Reasoning in Neurosymbolic AI Markov logic networks

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.163362Z

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=2026-08-07T15:04:12.289347Z digest=sha256:75b4d81c42421ab77d7f07c30fb6fffeb3bd1339549d759691c24a823085100b

Observation 25d45746-a8c2-47ba-8d96-29e1dfe7f8f5 · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:04:14.075692Z

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=2026-08-07T15:04:12.342267Z digest=sha256:2a76f1d3cfdaea9afbe9da9905d66844670663870030a8631423b848a0ae23de

Observation b095399c-ef15-4d0d-8115-156b0ea77045 · outbound

This paper cites Learning and reasoning with logic tensor networks.

Reasoning in Neurosymbolic AI Learning and reasoning with logic tensor networks

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:14.024870Z

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=2026-08-07T15:04:12.371211Z digest=sha256:4b71c58351b49d94a5cf5bb413ea09b211607e8c9b03e710d7ec3c49bdfe50ca

Observation 41f5f19d-524a-4129-bcb2-58c052eb446c · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

Reasoning in Neurosymbolic AI The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:04:12.416431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:04:12.416431Z digest=sha256:1cebb9b05ed4ba00042cc189549cf2e735b456989fd9ee86005fe002ea42f342

Observation 3801bac3-1feb-4396-9bbb-3984877a3af7 · outbound

This paper cites Maximum satisfiabil- ity in software analysis: Applications and techniques.

Reasoning in Neurosymbolic AI Maximum satisfiabil- ity in software analysis: Applications and techniques

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.891135Z

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=2026-08-07T15:04:12.450807Z digest=sha256:ba0d53bf2f61a813ec70aa44a4cd9dd33fe2a193fabf98528209cacea40d7343

Observation d91197ba-d802-4c30-9f4a-62d09e6d96e3 · outbound

This paper cites Smolensky.

Reasoning in Neurosymbolic AI Smolensky

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.856758Z

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=2026-08-07T15:04:12.492924Z digest=sha256:e216bc2981ae0cda1457f2ee188fddab2a8219a020ce5af67f7bb2d430b5b961

Observation b3d08f80-5852-4e35-b3c3-55ecdb4d023e · outbound

This paper cites Bioinformatics: Problem Solving Paradigms.

Reasoning in Neurosymbolic AI Bioinformatics: Problem Solving Paradigms

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.841364Z

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=2026-08-07T15:04:12.532156Z digest=sha256:aa4b99096ac68cf3ce6e16e69b42f77c0b7774f1a50b11bde29ba5c7715d5406

Observation 0f26c7de-e946-41e3-b0ac-58c82ebc3025 · outbound

This paper cites Srinivasan.

Reasoning in Neurosymbolic AI Srinivasan

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.771015Z

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=2026-08-07T15:04:12.563975Z digest=sha256:36ba7f0912add9ddc1d0a455738b6b8c865dfbedb443feedd6774e665274a7a0

Observation 667808e9-eefa-4f67-b272-8c7e0c62d8ba · outbound

This paper cites Srinivasan, S.

Reasoning in Neurosymbolic AI Srinivasan, S

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.694994Z

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=2026-08-07T15:04:12.606985Z digest=sha256:d4f799e20cf5e0f952578b66558af345731d7002150080f2ab23b165415e4fcc

Observation 586dd05c-2e80-4951-b345-c6716cc5f820 · outbound

This paper cites Neural Concept Binder.

Reasoning in Neurosymbolic AI Neural Concept Binder

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:04:12.937729Z

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=2026-08-07T15:04:12.634529Z digest=sha256:1b44345eaaba093461cc02eec98b26609d2fb658ba54e3c0c1055aadb6e4f245

Observation cd25e1e7-4af6-43d2-87ab-4f82f595a5e6 · outbound

This paper cites Towell and J.

Reasoning in Neurosymbolic AI Towell and J

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.621184Z

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=2026-08-07T15:04:12.670432Z digest=sha256:c679479866f48761ef16c943257d641536e71ecae9f18179b9eee1e790448b6c

Observation 80f90590-15c5-4855-b6f1-43ea4510eaef · outbound

This paper cites Tran and A.

Reasoning in Neurosymbolic AI Tran and A

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.539375Z

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=2026-08-07T15:04:12.687102Z digest=sha256:ee8c9a37d030d1122748b7f479e1119bb44d3682618dd0050c6f4502a5087a32

Observation 200d683b-ba71-43f9-b37b-3d8e7120b6b3 · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:04:13.450947Z

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=2026-08-07T15:04:12.698517Z digest=sha256:f4d3e15254f96ff803cb4dc9950d3f0b9fdcce6a3ef2dd7312fe33146696178d

Observation 1ee81454-568d-4f95-b0ff-2de1493c274c · outbound

This paper cites Tran and Artur d’Avila Garcez.

Reasoning in Neurosymbolic AI Tran and Artur d’Avila Garcez

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.358029Z

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=2026-08-07T15:04:12.706228Z digest=sha256:9a22424c524e1ad2dc40034be24d654e8cd52da76bee695513d14627ce4d71d9

Observation 1e6c6f0a-aa73-489f-8fec-c202d6709bb1 · outbound

This paper cites Donti, Bryan Wilder, and J.

Reasoning in Neurosymbolic AI Donti, Bryan Wilder, and J

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.292078Z

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=2026-08-07T15:04:12.712223Z digest=sha256:4b1edacd740302ef05d3cebab223d239a1b96ed9a761b97e38e293ec0784a5c8

Observation 8e50341f-82a2-4c49-a795-43a2016c65db · outbound

This paper cites Solving maxsat with matrix multiplication, 2023.

Reasoning in Neurosymbolic AI Solving maxsat with matrix multiplication, 2023

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.259388Z

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=2026-08-07T15:04:12.731945Z digest=sha256:013ddd9761036cc534e0a59e43d6af06967fe7c48665aa10c1572905fb3b23ad

Observation 01b94831-d446-41a8-87e8-7daeb86f974b · outbound

This paper cites Generalized simulated annealing algorithm and its application to the thomson model.

Reasoning in Neurosymbolic AI Generalized simulated annealing algorithm and its application to the thomson model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.235412Z

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=2026-08-07T15:04:12.776700Z digest=sha256:e2c5faeaa6d92445c24d6c472087ef1633db2d2e627ca403378ef9dd16367d4c

Observation 0ea0dcc1-558c-4e59-8702-958178e8b1a9 · outbound

This paper cites Differentiable learning of logical rules for knowledge base reasoning.

Reasoning in Neurosymbolic AI Differentiable learning of logical rules for knowledge base reasoning

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:04:13.164611Z

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=2026-08-07T15:04:12.811922Z digest=sha256:da40bb04ba90e246f1adb5e6c712769b4afee1d70b130f5b907f7aae15727ac6

Observation 87d8d174-4c8b-45d9-846f-93dd6fea6c2b · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:04:16.071011Z

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=2026-08-07T15:04:11.254322Z digest=sha256:65a46fe4c2192e0e885072582d380c6e395e45c640d5a61b3895ad2262e27a39

Observation d9c1edb5-56fd-42ac-af99-6eb44d8e13b9 · outbound

This paper cites an unresolved cited work.

Reasoning in Neurosymbolic AI Unresolved cited work

Reference 2328

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:04:13.095658Z

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=2026-08-07T15:04:12.846995Z digest=sha256:05762f4283324c7e3fdc5f59ca574177a63d9072ecb770d495932523a8dd5548

Pith citing papers

Observation 4ecfdbbc-f6a9-4e32-9e90-e6925343f69b · inbound

The Knowledge-Reasoning Dissociation: Fundamental Limitations of LLMs in Clinical Natural Language Inference cites this paper.

The Knowledge-Reasoning Dissociation: Fundamental Limitations of LLMs in Clinical Natural Language Inference Reasoning in Neurosymbolic AI

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:19:27.612062Z

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=2026-08-05T20:19:26.486227Z digest=sha256:9d385885d08f2fb9d55afe88bff9614e551905d488fa5b16dd85781a84d4b990