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Paper Citation Record · LEDGER

Multi-group Uncertainty Quantification for Long-form Text Generation

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.21057.

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

pith.paper-citation-record.v1
2407.21057 v2

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 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:16:19.693954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:37:56.491378Z

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 9dbccb37-645b-4d2d-93cc-6da88b279cc9 · inbound

Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study cites this paper.

Fine-Grained Uncertainty Quantification for Long-Form Language Model Outputs: A Comparative Study Multi-group Uncertainty Quantification for Long-form Text Generation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T22:16:19.693954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:16:19.693954Z digest=sha256:d52ae9c8d83c6d8d1b0f68b945903a565df38d25b44df8b47d7bccfffd64974d

Observation e7d46812-b0df-4ea1-aa45-e98a3aa70052 · inbound

Strategic Decision Support for AI Agents cites this paper.

Strategic Decision Support for AI Agents Multi-group Uncertainty Quantification for Long-form Text Generation

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:56.492944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T09:57:46.960346Z digest=sha256:731952f9af0940e8f3d9621dbbede701b0e9f8d0e54850dca9d7876630ef7e70

Observation 939c9be0-4d0a-4587-adb0-61c859baf372 · inbound

Though Language Models Err While They Strive: Conformal Prediction for Self-Correcting Scientific Generation cites this paper.

Though Language Models Err While They Strive: Conformal Prediction for Self-Correcting Scientific Generation Multi-group Uncertainty Quantification for Long-form Text Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T20:16:16.264871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:16:16.264871Z digest=sha256:ff9f471e7daaeec09ca68773186b2f6ae2a6176a7cc9a3d5bd3356944fa7e711