Paper Citation Record · LEDGER

Large Language Model-guided Document Selection

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.04638.

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

pith.paper-citation-record.v1
2406.04638 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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:04:34.382148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T17:30:02.980574Z

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 70a4c1e2-9191-41b4-aef0-1c06d5c1479d · inbound

Training Bilingual LMs with Data Constraints in the Targeted Language cites this paper.

Training Bilingual LMs with Data Constraints in the Targeted Language Large Language Model-guided Document Selection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T17:04:34.382148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5aa596e-59c2-4e06-b61b-9c8b17a643da · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Large Language Model-guided Document Selection

Reference 188

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:30:02.981993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 08dadccf-321d-4921-bc9e-fb3a11d68934 · inbound

Language Models Improve When Pretraining Data Matches Target Tasks cites this paper.

Language Models Improve When Pretraining Data Matches Target Tasks Large Language Model-guided Document Selection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T16:53:11.007442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13356a79-38de-4de8-8385-4cb8d6836575 · inbound

Can Continual Pre-training Bridge the Performance Gap between General-purpose and Specialized Language Models in the Medical Domain? cites this paper.

Can Continual Pre-training Bridge the Performance Gap between General-purpose and Specialized Language Models in the Medical Domain? Large Language Model-guided Document Selection

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:01:05.369050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.