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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 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 2026-08-07T15:08:04.051135Z

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 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.

source=pdf_text observed=2026-08-07T15:08:04.051135Z digest=sha256:d107d7ba3af1c5d86b3a7677ceb06f6780df8f14b5763547b8b89e194e15d31c

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.

source=arxiv_source observed=2026-08-06T19:26:59.740790Z digest=sha256:b88a126c0ea46368ae6a71bdf09924fb13be3a8ae391073af726200340bd7b23

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-13T21:54:30.638392Z digest=sha256:01d328f79f7103e2fd4c60fce354111867d2becee00282c46f6565528176c5c2

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.

source=pdf_text observed=2026-07-13T13:56:04.958254Z digest=sha256:580737a4a06f98ebf7f3229e088115a05bce59e2634c0f57bf20cf24dece47dd