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Paper Citation Record · LEDGER

Making Large Language Models Perform Better in Knowledge Graph Completion

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.06671.

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

pith.paper-citation-record.v1
2310.06671 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:16:36.695205Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T05:51:10.728121Z

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 50039150-e816-4462-a8c3-0a34b6ba004c · inbound

K-ON: Stacking Knowledge On the Head Layer of Large Language Model cites this paper.

K-ON: Stacking Knowledge On the Head Layer of Large Language Model Making Large Language Models Perform Better in Knowledge Graph Completion

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T16:16:36.695205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:16:36.695205Z digest=sha256:48d5e199c3e4c9af652c70a46b070c733bbe711a555cef1c59b937f772047fc2

Observation da2d3bd0-2a94-43ed-a9d2-fb05376791c7 · inbound

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models cites this paper.

KG-BiLM: Knowledge Graph Embedding via Bidirectional Language Models Making Large Language Models Perform Better in Knowledge Graph Completion

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:40.218741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:40.218741Z digest=sha256:feb13199d449132e93eb06d449d77123b9c8db26ce957f111144e0da3cc1a5f3

Observation 8a8dff96-958d-4d8b-b619-5ae5e9d0cd7f · inbound

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies cites this paper.

From Symbolic to Neural and Back: Exploring Knowledge Graph-Large Language Model Synergies Making Large Language Models Perform Better in Knowledge Graph Completion

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T04:48:08.753054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:48:08.753054Z digest=sha256:062e0fdec9411b19ecadddb57ce505d442a1ea7897ef9407f5b910a281f5469f

Observation b8fca95b-bd36-4c13-a63c-b2a38e7ddf89 · 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 Making Large Language Models Perform Better in Knowledge Graph Completion

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T12:53:33.909354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:53:33.909354Z digest=sha256:ecc41792202f0020c6266c3f717e79ec6fbcf62476758cc2899e127caf9cf4e7

Observation beff8024-dad8-4b77-91a5-1be06d56e1d9 · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval Making Large Language Models Perform Better in Knowledge Graph Completion

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:51:10.729353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:6c65a1276ec2e2c77349d9ce0001c58673bb5ab06353b71a56d9c9dc02cd2108