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Paper Citation Record · LEDGER

FinGPT: Large Generative Models for a Small Language

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.05640.

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

pith.paper-citation-record.v1
2311.05640 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 2026-08-06T22:46:40.228960Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T17:28:22.878544Z

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 98e12ed6-eab3-4b7b-822d-844d3b26558b · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation FinGPT: Large Generative Models for a Small Language

Reference 228

Resolution
verified exact
arxiv_id, observed 2026-05-12T17:28:22.881453Z

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=arxiv_source observed=2026-05-12T17:28:22.353355Z digest=sha256:6ce5d7a641eef782335fb1702b2883d80c5533e676d72fcbb09935cabeec59c5

Observation adc5788a-159a-4393-8e78-f5702c2bec77 · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language FinGPT: Large Generative Models for a Small Language

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:40.228960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:46:40.228960Z digest=sha256:b318bc6e1c95ee58e77e33f2a40fb2c080b69be34d1b5f635ea2285c6ac5b27a