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Paper Citation Record · LEDGER

KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.14770.

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

pith.paper-citation-record.v1
2309.14770 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:07:57.563334Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:53:35.920477Z

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 cf2d9ce7-6614-438c-bfdb-d7c9725628be · inbound

Deep Sparse Latent Feature Models for Knowledge Graph Completion cites this paper.

Deep Sparse Latent Feature Models for Knowledge Graph Completion KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T14:07:57.563334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:07:57.563334Z digest=sha256:4e1eb5207fdb2dc8e46d17046f084118eebd3e42c158b91613cabef2c9a8b432

Observation 78306d1d-90d1-4ae6-8f4e-6046a5fa9a43 · inbound

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph cites this paper.

Way to Specialist: Closing Loop Between Specialized LLM and Evolving Domain Knowledge Graph KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T10:37:50.878792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:37:50.878792Z digest=sha256:38255874150c7ddbbd546fa468fc39ce9a6a794b5d661b0a9ba23f067bb650f9

Observation 64212d5f-0e35-4465-ba9f-973b8f5bc282 · inbound

Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach cites this paper.

Enhancing Persona Classification in Dialogue Systems: A Graph Neural Network Approach KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T13:20:06.553355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:20:06.553355Z digest=sha256:1b77d1b13ea6debf782c79ef066008c7ca178116d7d47ae62cfbdcf62b933d3c

Observation 6b0915c6-4260-4964-bd44-9444a8e776fc · inbound

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning cites this paper.

Enhancing Large Language Model for Knowledge Graph Completion via Structure-Aware Alignment-Tuning KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:53:35.999268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-05T12:53:30.871973Z digest=sha256:bae81101af819cb9147809d27c5a90f8f5e3fb72317bca8cf119da40effdd9b6