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Paper Citation Record · LEDGER

Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.17076.

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

pith.paper-citation-record.v1
2405.17076 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:58.773197Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:19:04.851234Z

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 979472de-766a-483f-8b84-1cb29fc381be · inbound

Conversational Lexicography: Querying Lexicographic Data on Knowledge Graphs with SPARQL through Natural Language cites this paper.

Conversational Lexicography: Querying Lexicographic Data on Knowledge Graphs with SPARQL through Natural Language Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:58.773197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:58.773197Z digest=sha256:44daf8f6bdc8155e35541e3580fa96e02d3ddaac18766e7d234ebb83a631814b

Observation a09af8dc-09b2-497f-9605-e5b58c341962 · inbound

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection cites this paper.

SPARQL Query Generation with LLMs: Measuring the Impact of Training Data Memorization and Knowledge Injection Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:19:05.060390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T16:18:59.302393Z digest=sha256:44ad54615d8e0dbb1bb1c5feb641bdd64e578e118a6a9340bbc5ab45cb2725dc