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Paper Citation Record · LEDGER

Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.10110.

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

pith.paper-citation-record.v1
2402.10110 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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:46:38.445760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T16:45:42.467452Z

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 e7ee0d2e-cb22-429e-baca-82c9207ef389 · inbound

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts cites this paper.

MolReFlect: Towards In-Context Fine-grained Alignments between Molecules and Texts Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:45:42.472034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T16:45:16.544663Z digest=sha256:51df444d2530b02d96cd8bc0331dee47bd11df0d2c67ce65ab30acd6f9931c2c

Observation 0b569ab5-cd21-4632-86da-c53ff8297f26 · inbound

On Accelerating Edge AI: Optimizing Resource-Constrained Environments cites this paper.

On Accelerating Edge AI: Optimizing Resource-Constrained Environments Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T14:46:38.445760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:46:38.445760Z digest=sha256:3137372ddbaa2d8283206e3097404bf749cc074077ae76e612f0f7926a78f66e

Observation 16f516aa-0c48-4545-bd54-99823fb4ce0d · inbound

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models cites this paper.

A Survey on Proactive Defense Strategies Against Misinformation in Large Language Models Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T20:03:47.719528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:03:47.719528Z digest=sha256:c873b390674c2cc9390eb1d74ca1e43b120a289d0ae17118a5ebe4cc6bd0e72e