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Paper Citation Record · LEDGER

Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.08804.

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

pith.paper-citation-record.v1
2305.08804 v1

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 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:25:46.486910Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:25:54.492377Z

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 aa04c0b6-3aa2-47c3-9d68-939d4d462662 · inbound

Graph Foundation Models: A Comprehensive Survey cites this paper.

Graph Foundation Models: A Comprehensive Survey Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text

Reference 186

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:25:54.565538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T15:25:46.486910Z digest=sha256:e559b198ff6772afe0e0a9876a672956e046cb50612f4f4a79d36184bdfe598a

Observation b16fcd94-6a26-436d-be1a-df8b9de4ccaa · inbound

MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models cites this paper.

MultiCNKG: Integrating Cognitive Neuroscience, Gene, and Disease Knowledge Graphs Using Large Language Models Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T11:08:59.354982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T11:08:59.354982Z digest=sha256:9e553d7fb715b1b4370653fd1e03950a1400275d9fa5ac4e93785a69ac69acf5

Observation 1df98daf-a1b2-4e78-8bda-330256794b79 · inbound

Learning to Select Visual In-Context Demonstrations cites this paper.

Learning to Select Visual In-Context Demonstrations Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T05:46:06.011971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:46:06.011971Z digest=sha256:4da2f5726295a16434b5d8f1edecdecfa78f9542513ceca5a480bdd5930cc44d