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Paper Citation Record · LEDGER

Fill In The Gaps: Model Calibration and Generalization with Synthetic Data

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.10864.

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

pith.paper-citation-record.v1
2410.10864 v1

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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:33:47.095625Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:43:13.565511Z

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 12730af7-ce65-4a2f-9547-5a73eb3db1d8 · inbound

From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling cites this paper.

From LLM-anation to LLM-orchestrator: Coordinating Small Models for Data Labeling Fill In The Gaps: Model Calibration and Generalization with Synthetic Data

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T19:33:47.095625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:33:47.095625Z digest=sha256:0688f1ef495174d0c2cadc5d9d6873cfd2519536bc5239537359450a9edfea96

Observation 537e4058-fad6-483f-8d34-3071bfde6763 · inbound

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era cites this paper.

Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era Fill In The Gaps: Model Calibration and Generalization with Synthetic Data

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:43:13.574509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T15:43:12.618439Z digest=sha256:6d01beac4903f047dbf58275c5cee10ff9811e3f6df2d98ae872d746699a9ba8