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Paper Citation Record · LEDGER

Probabilistic Reasoning via Deep Learning: Neural Association Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1603.07704.

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

pith.paper-citation-record.v1
1603.07704 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:02:34.683557Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T04:10:33.122479Z

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 74168cd2-0079-4fa5-a90a-9bfe7496ec16 · inbound

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review cites this paper.

Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Probabilistic Reasoning via Deep Learning: Neural Association Models

Reference 162

Resolution
unresolved
no resolver link, observed 2026-08-10T15:33:45.786232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:33:45.786232Z digest=sha256:efc6c3062a01470e8b3f5c1af54e02f06b089f496cbec89389dbd58ec22b8d07

Observation ddab2508-529d-44c1-bf75-633580ef4166 · inbound

Advancing Reasoning in Large Language Models: Promising Methods and Approaches cites this paper.

Advancing Reasoning in Large Language Models: Promising Methods and Approaches Probabilistic Reasoning via Deep Learning: Neural Association Models

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-09T04:10:33.130399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-09T04:10:32.645802Z digest=sha256:78ee0db6d1d6ecf611d4267f8e2290cdc0fc87901f4e8de687202537bbac086d

Observation 90e8c65f-292b-4eb7-9823-af61b27666de · inbound

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects cites this paper.

A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects Probabilistic Reasoning via Deep Learning: Neural Association Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T06:02:34.683557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T06:02:34.683557Z digest=sha256:25267a8f4e78ce988557f0ae56bf71e5bb59e8d036ef9e9317fc7e72385aeaa9