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Paper Citation Record · LEDGER

Reasoning in Neurosymbolic AI

As of 17 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 2026-08-17T06:30:58.91139+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

Resolution
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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

Source-reported events for the cited work

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:11.843707Z digest=sha256:b32306d2fb9117112f10e34045b6d5cd3206d7e239c1b2a13b33afe006c7fcc9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:11.916827Z digest=sha256:f093a60e318c840774134860edf30751caad503222a1d553487cc613a35dd613

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.146792Z digest=sha256:b4525f07dbb4f340e35ba5c95aad11de1ecf24d67df592bef0f93ccbf5a0f893

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.150491Z digest=sha256:1c75fd996198137909d4a0faf820cc54c5091ea08b5b34cb4c64e9ca619d091b

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.154857Z digest=sha256:e493f70f8d283b5375c8eb3f6d5c430e283339c8fb477e948278a4923661d5e0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.209665Z digest=sha256:26b69196b65d352a7e567c8b1bdc2e6bb278569dae93e3699c30c3437e6a3c26

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.289347Z digest=sha256:60b338a47ebf99b5a88b9fbde6514c55839c976ea64195c78f1ecf271e2aa929

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.342267Z digest=sha256:9f8019f4fdea65da0d8e9bfaaf822357730d14133549bf257bf11d2deff78cd4

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.371211Z digest=sha256:66b853ba270ff11b7e08bd2d62fd96eb7db1dc8e9bd38a98d408cad9587ef57a

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=sha256:0f37c66357a7d1c01b297a9cc83ef73f384e75418076b130a42d892a12de1cb8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.450807Z digest=sha256:863a4746b8a270f9ebd07da5738fcfc566c1b901488757614ad80e4cc5f3e2fe

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.492924Z digest=sha256:0800386145e0fe4d35c54fc8ce4f2f0b9bd801883d389371e52970dee79a6119

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.532156Z digest=sha256:eeb79c339b5fa291d3751171b10e5a8f4adc2da36881297ff23fc1fe26498b9d

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.563975Z digest=sha256:13637097ccb38e2d92254d1db251c21883e598d1a735f238d3cfb1f76235b3a7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.606985Z digest=sha256:7727b9cabb199e4bdb1b2df2dd1bc070467499b56e367d268ae4ddb8a0f7d58f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.634529Z digest=sha256:93d4cbfc9c4e01c9adbb3f208fe691696aa6364a0cfca24835c6969e5c94b153

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.670432Z digest=sha256:f9602edb2cd0a5a9700d6d371dd19c159469895168cbe52f55187b5f9a61a7bb

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.687102Z digest=sha256:4a3b8988c3d579c00f29c05d83beffe175f215beed5b187cc272e75282ec5c63

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.698517Z digest=sha256:340a5722dd25d041963e527f8a4630aa2f3319f56733c668d609538b41744df0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.706228Z digest=sha256:e3307ed9a76e520e19c7fd170bb44066d5763408e101d3474351675fc9ecbd78

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.712223Z digest=sha256:9a08a47ae14fa5946c96a9cba95f2ac31a056a549656ab302237ffd6926b2449

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.731945Z digest=sha256:688a1e4db489c5b8a48a0872cddb2d900ae907ae94a9d86bcbb374ebde55a743

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.776700Z digest=sha256:529dd1a6813139c56a01ae54dd0b4ff764cc120dee53c6302e5b1e259b452e7a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.811922Z digest=sha256:aff362176bcb4c83cd21b77d570131143256dfef9313d8b56ad9b569d7124b33

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:11.254322Z digest=sha256:ad33610d5986d801c6a22f4fa31b3fc5bfed1966a662fb223806e4ef3c705a7f

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T15:04:12.846995Z digest=sha256:f245d168dd79fd270cf820fbb8cb833aef9c45a3625e53512bc2807b07c19ce1

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-05T20:19:26.486227Z digest=sha256:62b78ab001d1aae7b2799640793ecd8785a69d7bed2441dee02ead934bbb647a