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Paper Citation Record · LEDGER

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.15643.

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

pith.paper-citation-record.v1
2312.15643 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:59.298079Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T22:48:55.296466Z

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 ec972ab9-cb5d-43f5-8744-2c0bd1a76580 · inbound

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? cites this paper.

KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education? Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:59.298079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:25:59.298079Z digest=sha256:a302ea69878b04ff76d2f1f7fe01d53e9baa5f1bbbefcdb384023ed6cd6e60a4

Observation a5279d17-cd4b-4617-a728-6b77dd0c8d3c · inbound

Enhancing Transformers for Generalizable First-Order Logical Entailment cites this paper.

Enhancing Transformers for Generalizable First-Order Logical Entailment Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-10T22:48:55.302649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-10T22:48:53.403181Z digest=sha256:66979e9e8c7a5cec3b172b22d0c56a2b3a01cb5092ca6582d0bb8764301b1440