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Paper Citation Record · LEDGER

Semi-supervised Fine-tuning for Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.14745.

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

pith.paper-citation-record.v1
2410.14745 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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:34:07.178267Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bae1c21b-2d6d-4072-90b8-cc4608d810ae · inbound

Cluster-guided Contrastive Class-imbalanced Graph Classification cites this paper.

Cluster-guided Contrastive Class-imbalanced Graph Classification Semi-supervised Fine-tuning for Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T13:34:07.178267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:34:07.178267Z digest=sha256:7433a9e2f1539053f20e87d0a4da2e809fbb7842be2f02d49a2ecda748f74f42

Observation 06116184-280d-4093-a2ce-8b9bdeaee5a8 · inbound

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response cites this paper.

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response Semi-supervised Fine-tuning for Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T11:51:02.866929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:51:02.866929Z digest=sha256:166f1bd7024f9c7adcc0862ecc7473e5ff01cec43d49aa8121d56844716b643a

Observation fc5264f3-65c6-4550-a8dd-2c0cab08b794 · inbound

Learned iterative networks: An operator learning perspective cites this paper.

Learned iterative networks: An operator learning perspective Semi-supervised Fine-tuning for Large Language Models

Reference 107

Resolution
metadata mismatch
local_arxiv, observed 2026-08-03T17:48:48.533816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-03T17:44:51.277378Z digest=sha256:aa249c1ae2079433fce7d26217bc762afb2850ecfe27f9e5524ed9b7e9e9df89