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Paper Citation Record · LEDGER

Logical Neural Networks

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2006.13155.

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

pith.paper-citation-record.v1
2006.13155 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T17:31:33.453728Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T13:56:59.543143Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dbe1262a-4029-4b24-b96d-9d3aa1356f10 · inbound

Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration cites this paper.

Logic of Hypotheses: from Zero to Full Knowledge in Neurosymbolic Integration Logical Neural Networks

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:54:22.978873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T21:51:20.259009Z digest=sha256:c44d44b623330a26df28345e2676751964ce5b1b1b539a324edf19134a0f1990

Observation 2777ac7a-3d2a-4614-9e47-632dd208404e · inbound

Enabling topography-resolving structural dynamic contact simulation cites this paper.

Enabling topography-resolving structural dynamic contact simulation Logical Neural Networks

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-13T17:31:33.453728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:31:33.453728Z digest=sha256:46d1a87f214dbf09811f15d2b3215596a9b74e2552689603d70b520daf61b7e1

Observation d40670ee-307b-438e-8d90-8973a907cebe · inbound

THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture cites this paper.

THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture Logical Neural Networks

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:06:02.290147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T15:39:55.369525Z digest=sha256:872c43c3d97192d20a548d6cfddfc9cd5538696e9a5f2baa4f2a403ae7d6a400

Observation 256be30a-1cf3-440f-8665-3a9cc028cdf4 · inbound

Overmind NSA: A Unified Neuro-Symbolic Computing Architecture with Approximate Nonlinear Activations and Preemptive Memory Bypass cites this paper.

Overmind NSA: A Unified Neuro-Symbolic Computing Architecture with Approximate Nonlinear Activations and Preemptive Memory Bypass Logical Neural Networks

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:12:26.687465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T08:09:37.150049Z digest=sha256:cb6a8d75b8a7432ea9393ecb47db1db5e99fcb09a95232861daaf9f7f169fdd2

Observation 51c3911d-b317-46d9-ab66-4c8ff63e3bfe · inbound

Structured Abductive-Deductive-Inductive Reasoning for LLMs via Algebraic Invariants cites this paper.

Structured Abductive-Deductive-Inductive Reasoning for LLMs via Algebraic Invariants Logical Neural Networks

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:01.909707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T08:45:32.431012Z digest=sha256:58fb75b22cb88dd30d2aa010cd1c0dad8b02cbf9b47ff4f01a78c688dcdc533d

Observation 9e37d56e-27b1-41a8-850e-78e6d6b3b2b5 · inbound

Auto-Relational Reasoning cites this paper.

Auto-Relational Reasoning Logical Neural Networks

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:31:25.695780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-07T10:44:33.079246Z digest=sha256:a67acafd35e8a48eda7505a0d56d0ad6070181c95528a1eeeeeb3db96066430b

Observation a1b580d5-5dd0-486c-a415-179dc5d01bd0 · inbound

Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA cites this paper.

Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA Logical Neural Networks

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:07.878581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T17:45:44.270122Z digest=sha256:f608ac79636a00565a0b04da89181fd631e6c89542550c4fde28569a4d9a2e07

Observation ca109c2e-ba1d-4412-9ab9-091ce2d6fdf0 · inbound

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI cites this paper.

Fairness of Explanations in Artificial Intelligence (AI): A Unifying Framework, Axioms, and Future Direction toward Responsible AI Logical Neural Networks

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:41:25.283179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T05:04:40.193388Z digest=sha256:6c5754128974074d5c3b67c0461c42c47626437d8a63dc95e4a7b300fa806c38

Observation 88bc3d87-ec7f-44a0-ba8d-cbde2e770c15 · inbound

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions cites this paper.

Do Fair Models Reason Fairly? Counterfactual Explanation Consistency for Procedural Fairness in Credit Decisions Logical Neural Networks

Reference 194

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:52:59.080904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-14T20:50:02.096278Z digest=sha256:62df6be2311a46c31f73dc50b8a6b82ace94cfbf50c37fbcf515d9b6d664a433

Observation b7a87019-b765-46e0-95cb-bede62eb85fb · inbound

Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines cites this paper.

Algebraic Machine Learning for Small-to-Medium Datasets Is Competitive against Strong Standard Baselines Logical Neural Networks

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:06:15.199291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T08:05:56.702423Z digest=sha256:58c927f83ac7aa7599ae82abb2a6e160af4476ca498f48d672be46593b6b34eb

Observation 2bfd1a9a-4536-4711-b572-0035edd69f58 · inbound

AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling cites this paper.

AttackPathGNN: Cross-function vulnerability detection in smart contracts using state interference graphs and conjunction pooling Logical Neural Networks

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:56:59.544567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-28T00:49:07.705549Z digest=sha256:c0997c328b87af4095e6448f9e7f3bcd97eb270baa3d439db0bbb85d85895e0d

Observation c3188ba2-dab9-44f2-a8b3-c9c1961a375d · inbound

First-Order Temporal Logic Tensor Networks cites this paper.

First-Order Temporal Logic Tensor Networks Logical Neural Networks

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:24:19.313328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-30T06:19:10.986410Z digest=sha256:4622cfbab9fa0b23c7b3087df40f8e3c7540c58d448c6327286bc151563b08d7

Observation 73939d02-f5a4-44c5-b5b6-b99594bf1d08 · inbound

Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors cites this paper.

Explicit Fuzzy Logic in the Feed-Forward Layer: Self-Forgetting Quantifiers Discover Legible Grammatical-Licensing Detectors Logical Neural Networks

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:15:44.371935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-07-01T05:43:46.153089Z digest=sha256:a495ffe3c0da197066742fa0a3a75801e9122f9324e352de8c1d863170eff4f5

Observation e65547a0-cfad-4e3e-a18c-ceeb33ad870c · inbound

Training, Reading, and Editing Legible Transformers cites this paper.

Training, Reading, and Editing Legible Transformers Logical Neural Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-13T05:35:58.568346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T05:35:58.568346Z digest=sha256:84921c2c220bcafdf110dc59bcdf26b68cba13ffa0fd4514d015fb5abe4f269f