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Paper Citation Record · LEDGER

Zero and Few-shot Semantic Parsing with Ambiguous Inputs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.00824.

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

pith.paper-citation-record.v1
2306.00824 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:17.419584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T20:46:10.266687Z

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 8070a590-0b10-4565-93ff-2f46020d66e8 · inbound

Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective cites this paper.

Constrained Sampling for Language Models Should Be Easy: An MCMC Perspective Zero and Few-shot Semantic Parsing with Ambiguous Inputs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:20:17.419584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:17.419584Z digest=sha256:1431f6e5085b55b5046b1d6fa7961ff158b3bec387458e3b98450377b8b43287

Observation d6128d7c-1db9-4634-92cf-325edfbf4db8 · inbound

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt cites this paper.

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt Zero and Few-shot Semantic Parsing with Ambiguous Inputs

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:46:10.272186Z

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=pdf_text observed=2026-05-08T08:10:54.871065Z digest=sha256:ac85e6f6bac8e32c123b32ad18fed77eef3ac68d55d879e8b9ae5f2a8aa4a57a