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Paper Citation Record · LEDGER

Strategies for Span Labeling with Large Language Models

As of 16 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2601.16946.

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

pith.paper-citation-record.v1
2601.16946 v2

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:28:02.270283Z

measured 7 of 7 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f5b5ddef-7d9c-40a4-8307-0806c7ee0950 · outbound

This paper cites PER">Lina Berg</entity> joined <entity type=.

Strategies for Span Labeling with Large Language Models PER">Lina Berg</entity> joined <entity type=

Reference 1

Resolution
malformed identifier
no resolver link, observed 2026-08-03T08:28:02.270283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.270283Z digest=sha256:713902b6836cfcc7d274875b6cde7d7b48d814ee7c0529b4f6cbb096ae8e7e08

Observation b6a39b55-b45a-4dda-bc5d-bf080116cd58 · outbound

This paper cites We Need Structured Output.

Strategies for Span Labeling with Large Language Models We Need Structured Output

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.262454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.262454Z digest=sha256:23f9941bdfcaef4e71b076bafa2cbbb23789ac8bb223149abca81bb589dd9138

Observation 74ee72dd-0a7a-4913-a478-0e5f3d62c5b8 · outbound

This paper cites InProceed- ings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 4, V olume 1: Long Papers, pages 793–805, Vancouver, Canada.

Strategies for Span Labeling with Large Language Models InProceed- ings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017 4, V olume 1: Long Papers, pages 793–805, Vancouver, Canada

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.247342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.247342Z digest=sha256:9225be4319bf1423ebd445fd55cf4127d2327b1012a1213e72c30da129e69893

Observation f6f5b985-fd74-460a-80ea-71917bd82aa1 · outbound

This paper cites an unresolved cited work.

Strategies for Span Labeling with Large Language Models Unresolved cited work

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.252237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.252237Z digest=sha256:63612d0d246c6c49666f41e0ec0c6bac9670ce96c5449ed9f72a90c80736243f

Observation 5b1bb5bd-e949-4bb2-87ce-130475b52be2 · outbound

This paper cites Efficient Guided Generation for Large Language Models.

Strategies for Span Labeling with Large Language Models Efficient Guided Generation for Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.266163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.266163Z digest=sha256:5efa3083eecfc31aaa991ec55e90e2dcc8495b9e6ae0c9db138bdad94c75daa6

Observation ccb224bd-6820-4335-a0b7-bca1a7f03d8f · outbound

This paper cites Why Do Large Language Models (LLMs) Struggle to Count Letters?.

Strategies for Span Labeling with Large Language Models Why Do Large Language Models (LLMs) Struggle to Count Letters?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.255694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.255694Z digest=sha256:9dbfbbc4e25a016e5336572377065a16b0452dc64846734138881ae370204c51

Observation 8dbb3efb-be03-4cf5-a6a6-6f1cd37443ac · outbound

This paper cites Zdenˇek Kasner and Ondˇrej Dušek.

Strategies for Span Labeling with Large Language Models Zdenˇek Kasner and Ondˇrej Dušek

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T08:28:02.259289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:28:02.259289Z digest=sha256:bfcdd86ad10d68a62234698f98baf381455407220f669847d49b51e2cd1c5e62

Pith citing papers

No inbound Pith citation observations are available.