Paper Citation Record · LEDGER

Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.11875.

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

pith.paper-citation-record.v1
2211.11875 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:55.082974Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:45:19.831078Z

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 0206e781-7fed-4913-8045-4240e01bb747 · inbound

Consistency in Language Models: Current Landscape, Challenges, and Future Directions cites this paper.

Consistency in Language Models: Current Landscape, Challenges, and Future Directions Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

Reference 173

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:55.082974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a49b184b-2677-49d7-9a2a-b5c9b1748a73 · inbound

OR-VSKC: Resolving Visual-Semantic Knowledge Conflicts in Operating Rooms with Synthetic Data-Guided Alignment cites this paper.

OR-VSKC: Resolving Visual-Semantic Knowledge Conflicts in Operating Rooms with Synthetic Data-Guided Alignment Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:37:08.753785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17daec30-d4b9-4ef2-b952-dac8d7497012 · inbound

DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA cites this paper.

DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T04:44:02.481192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7ef33e83-cb4f-4c06-8e31-a448822a5a00 · inbound

Empirical Bayes Conformal Prediction for Vision and Language Models cites this paper.

Empirical Bayes Conformal Prediction for Vision and Language Models Enhancing Self-Consistency and Performance of Pre-Trained Language Models through Natural Language Inference

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:19.834173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.