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Paper Citation Record · LEDGER

Collaborative decoding of critical tokens for boosting factuality of large language models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.17982.

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

pith.paper-citation-record.v1
2402.17982 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:52:18.278157Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:25:19.655814Z

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 cb89ad2c-b80d-4e41-bec1-98f1d956d61d · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Collaborative decoding of critical tokens for boosting factuality of large language models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.658802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:6b8c810555f40d56495ae37f64c4315184b92b52291b6848645b23b774d55051

Observation 9354e951-1a5e-4436-bfe2-692c3e599e82 · inbound

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.

What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding Collaborative decoding of critical tokens for boosting factuality of large language models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:52:18.278157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:52:18.278157Z digest=sha256:fe4281a3d3953dccec3b7d50a47fcf37dc49354dc2c014b62c7b44ac6e168b42

Observation 24fec2de-d0e9-4a6f-b115-29dc06eb2d61 · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Collaborative decoding of critical tokens for boosting factuality of large language models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:46.786249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:46.786249Z digest=sha256:f2101877d84b35f8a7d620d835e489327ac9b3f9988e42b99c956ad59864abb4