Paper Citation Record · LEDGER

Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.15592.

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

pith.paper-citation-record.v1
2502.15592 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:06:21.668121Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4150fec0-92d4-4e75-aa66-4825d206d802 · inbound

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization cites this paper.

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:21.668121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38dae01b-6055-48ce-8958-1fe75512ae93 · inbound

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization cites this paper.

SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:21.658781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ea1a5c-cf8a-4790-8a2d-04c3a4548379 · inbound

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions cites this paper.

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:04.051135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63860f6c-94dc-4de3-b3ea-e8ff13d50f23 · inbound

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression cites this paper.

SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T19:26:59.740790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 311d2ac5-0746-400f-b894-7c9bc126f68b · inbound

Adam's Law: Textual Frequency Law on Large Language Models cites this paper.

Adam's Law: Textual Frequency Law on Large Language Models Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T21:58:19.759275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47b2401e-63b7-4f4d-8ce8-cc5c25201214 · inbound

Adam's Law: Textual Frequency Law on Large Language Models cites this paper.

Adam's Law: Textual Frequency Law on Large Language Models Generalizing From Short to Long: Effective Data Synthesis for Long-Context Instruction Tuning

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-07-13T13:56:04.958254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.