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Paper Citation Record · LEDGER

Making Large Language Models Better Data Creators

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.20111.

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

pith.paper-citation-record.v1
2310.20111 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:59:01.173754Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:42:05.887837Z

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 c3ba1c5e-50b3-4d04-9b84-57ac7e9733d8 · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights Making Large Language Models Better Data Creators

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T23:59:01.173754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:59:01.173754Z digest=sha256:e7977bfbf492a9d572296e73a00467bd676c6b9505684322a846b1a78d957321

Observation afe4008c-33ac-49f5-b620-cb8940d8fcd5 · inbound

Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning cites this paper.

Multimodal Behavioral Patterns Analysis with Eye-Tracking and LLM-Based Reasoning Making Large Language Models Better Data Creators

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:42:05.892782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T14:42:05.797350Z digest=sha256:9982fcad8abed9507b4638097559081de53455b1a1a2c268181755ef2fb101aa