Paper Citation Record · LEDGER

Embedding Symbolic Knowledge into Deep Networks

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1909.01161.

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

pith.paper-citation-record.v1
1909.01161 v4

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:30:40.323756Z

measured 35 of 35 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

verified exact0
verified fuzzy29
unresolved6
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 826c9a99-f17c-4883-8d93-d572945aaa72 · outbound

This paper cites Deep learning,.

Embedding Symbolic Knowledge into Deep Networks Deep learning,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.288827Z

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.

Observation e0dad62d-5ffe-47b0-91b5-42e805fa473a · outbound

This paper cites A survey on deep learning in medical image analysis,.

Embedding Symbolic Knowledge into Deep Networks A survey on deep learning in medical image analysis,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.258767Z

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.

Observation 4d9d5d68-25a1-41a0-9a6c-dd6edddd5b37 · outbound

This paper cites Mastering the game of go without human knowledge,.

Embedding Symbolic Knowledge into Deep Networks Mastering the game of go without human knowledge,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.234443Z

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.

Observation 577abd5a-dc9a-4854-883e-ebc6861ccb90 · outbound

This paper cites Neural-Symbolic Learning and Reasoning: A Survey and Interpretation.

Embedding Symbolic Knowledge into Deep Networks Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T05:30:40.024459Z

Source-reported events for the cited work

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Observation 102b58b4-2226-46f9-b0ba-02f4f92cda57 · outbound

This paper cites Harnessing Deep Neural Networks with Logic Rules.

Embedding Symbolic Knowledge into Deep Networks Harnessing Deep Neural Networks with Logic Rules

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T05:30:40.032810Z

Source-reported events for the cited work

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Observation d5818c62-55e4-4b0c-b703-58edd0055e42 · outbound

This paper cites Hyperprior induced unsupervised disentanglement of latent representa- tions,.

Embedding Symbolic Knowledge into Deep Networks Hyperprior induced unsupervised disentanglement of latent representa- tions,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.202620Z

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.

Observation 098a3079-b611-419b-8cf8-bd689fcc2125 · outbound

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

Embedding Symbolic Knowledge into Deep Networks A semantic loss function for deep learning with symbolic knowledge,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.177169Z

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.

Observation 97fbc3a3-be53-42c6-b9d2-11a7bf0299dc · outbound

This paper cites Character-aware neural language models,.

Embedding Symbolic Knowledge into Deep Networks Character-aware neural language models,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.157883Z

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.

Observation fce5f22c-a966-4c80-9f08-76b1cbc902e8 · outbound

This paper cites Learning continuous semantic representations of symbolic expressions,.

Embedding Symbolic Knowledge into Deep Networks Learning continuous semantic representations of symbolic expressions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.131812Z

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.

Observation c8d8b0a7-75c2-40b3-8474-f0e77dbd4ffa · outbound

This paper cites Can neural networks understand logical entailment?,.

Embedding Symbolic Knowledge into Deep Networks Can neural networks understand logical entailment?,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.101693Z

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.

Observation cadbbf73-cd68-468d-a0fe-869d9e1ac4c8 · outbound

This paper cites Long short-term memory over recursive structures,.

Embedding Symbolic Knowledge into Deep Networks Long short-term memory over recursive structures,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.072561Z

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.

Observation 7816438f-9316-4930-88b5-f4d063cd8049 · outbound

This paper cites Improved semantic representations from tree- structured long short-term memory networks,.

Embedding Symbolic Knowledge into Deep Networks Improved semantic representations from tree- structured long short-term memory networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.045081Z

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.

Observation cf46cf23-9692-408c-8387-13c4279f8bc1 · outbound

This paper cites On the tractability of counting theory models and its application to belief revision and truth maintenance,.

Embedding Symbolic Knowledge into Deep Networks On the tractability of counting theory models and its application to belief revision and truth maintenance,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:41.019670Z

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.

Observation bf87effa-36c8-4b23-9f2d-7403e9dae0a6 · outbound

This paper cites A knowledge compilation map,.

Embedding Symbolic Knowledge into Deep Networks A knowledge compilation map,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.993898Z

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.

Observation afdfb5c8-4d67-499f-bec1-6d25111e5052 · outbound

This paper cites Semi-supervised classiﬁcation with graph convolutional networks,.

Embedding Symbolic Knowledge into Deep Networks Semi-supervised classiﬁcation with graph convolutional networks,

Reference 15

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Source-reported events for the cited work

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Observation 4a84fe73-3aa2-485a-937a-d1ac2b011207 · outbound

This paper cites Decomposable negation normal form,.

Embedding Symbolic Knowledge into Deep Networks Decomposable negation normal form,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.947031Z

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.

Observation 7aaeaeb4-7d5f-4092-a61a-7dbf7db88e60 · outbound

This paper cites New advances in compiling CNF into decomposable negation normal form,.

Embedding Symbolic Knowledge into Deep Networks New advances in compiling CNF into decomposable negation normal form,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.922071Z

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.

Observation ce91fae6-e133-4dc8-b5d8-39e99484f51d · outbound

This paper cites Learning logistic circuits,.

Embedding Symbolic Knowledge into Deep Networks Learning logistic circuits,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.897476Z

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.

Observation d350d828-d11e-4b31-b85a-a0b86d601251 · outbound

This paper cites Logic tensor networks for semantic image interpretation,.

Embedding Symbolic Knowledge into Deep Networks Logic tensor networks for semantic image interpretation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.865029Z

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.

Observation dca2c548-9bd1-48b3-9640-521b6395fb2d · outbound

This paper cites Logic tensor networks: Deep learning and logical reasoning from data and knowledge,.

Embedding Symbolic Knowledge into Deep Networks Logic tensor networks: Deep learning and logical reasoning from data and knowledge,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.827904Z

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.

Observation 12679426-7f69-4f7e-9db5-1cc9a5e8fd7d · outbound

This paper cites Label-free supervision of neural networks with physics and domain knowledge,.

Embedding Symbolic Knowledge into Deep Networks Label-free supervision of neural networks with physics and domain knowledge,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.798341Z

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.

Observation 60b9a1f4-abc7-491a-9014-cafa079faedb · outbound

This paper cites Injecting logical background knowledge into embed- dings for relation extraction,.

Embedding Symbolic Knowledge into Deep Networks Injecting logical background knowledge into embed- dings for relation extraction,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.773249Z

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.

Observation 76ea4014-a44b-44ab-968c-3edefe339d80 · outbound

This paper cites Lifted rule injection for relation embeddings,.

Embedding Symbolic Knowledge into Deep Networks Lifted rule injection for relation embeddings,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.749555Z

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.

Observation 7e8598c2-8fde-4f04-a3b6-87feca12ff74 · outbound

This paper cites Compositional distributional semantics with long short term memory,.

Embedding Symbolic Knowledge into Deep Networks Compositional distributional semantics with long short term memory,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.722694Z

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.

Observation 08de7cc3-95a2-4760-87de-6cce4e826d7e · outbound

This paper cites Wavelets on graphs via spectral graph theory,.

Embedding Symbolic Knowledge into Deep Networks Wavelets on graphs via spectral graph theory,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.699945Z

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.

Observation 77dee2fc-b450-4b63-9b77-c8f29ebc281c · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral ﬁltering,.

Embedding Symbolic Knowledge into Deep Networks Convolutional neural networks on graphs with fast localized spectral ﬁltering,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.669690Z

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.

Observation 2ba9f2c8-6ec9-40da-a9d2-42b9323861a3 · outbound

This paper cites PySAT: A Python toolkit for prototyping with SAT oracles,.

Embedding Symbolic Knowledge into Deep Networks PySAT: A Python toolkit for prototyping with SAT oracles,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.639637Z

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.

Observation 1ca30aa6-1d62-486f-b9bb-ce710ef3700f · outbound

This paper cites Visual relationship detection with language priors,.

Embedding Symbolic Knowledge into Deep Networks Visual relationship detection with language priors,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.614792Z

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.

Observation e1769196-d162-4c07-b8ae-3e4a54a62c00 · outbound

This paper cites Glove: Global vectors for word representation,.

Embedding Symbolic Knowledge into Deep Networks Glove: Global vectors for word representation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.585892Z

Source-reported events for the cited work

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Observation 0f4c98cb-bcc1-48fa-ac88-ac4a90cfb2b2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Embedding Symbolic Knowledge into Deep Networks Adam: A Method for Stochastic Optimization

Reference 30

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Source-reported events for the cited work

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Observation ffa6c4dc-208a-4548-bb3f-dd43e352d877 · outbound

This paper cites Learning assistance by demonstration: Smart mobility with shared control and paired haptic controllers,.

Embedding Symbolic Knowledge into Deep Networks Learning assistance by demonstration: Smart mobility with shared control and paired haptic controllers,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.551131Z

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.

Observation f6f479fd-8f8f-488f-a5bc-051b39916eb1 · outbound

This paper cites Towards effective tactile identiﬁcation of textures using a hybrid touch approach,.

Embedding Symbolic Knowledge into Deep Networks Towards effective tactile identiﬁcation of textures using a hybrid touch approach,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.529483Z

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.

Observation 4647702e-c6b2-426e-8375-874f33148f39 · outbound

This paper cites Arora and B.

Embedding Symbolic Knowledge into Deep Networks Arora and B

Reference 33

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Source-reported events for the cited work

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Observation f10b8ea1-d3bc-4bcc-b5c3-6df478bcd45b · outbound

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Embedding Symbolic Knowledge into Deep Networks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:30:40.486694Z

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.

Observation ee7686f0-1715-47a9-851d-b56fddebe4e6 · outbound

This paper cites Pp is as hard as the polynomial-time hierarchy,.

Embedding Symbolic Knowledge into Deep Networks Pp is as hard as the polynomial-time hierarchy,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:30:40.462696Z

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.

Pith citing papers

No inbound Pith citation observations are available.