Paper Citation Record · LEDGER

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.19846.

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

pith.paper-citation-record.v1
2405.19846 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:28:38.582703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:36:24.433798Z

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 c3f668b5-e858-4abc-b0c6-f924a8a85886 · inbound

Bootstrap Your Own Context Length cites this paper.

Bootstrap Your Own Context Length Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:38.582703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ee61eab-1635-4ea7-8386-d41ac5f332a6 · inbound

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? cites this paper.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.645685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa4a2af-350f-4345-ae4f-8cece78bd100 · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.684394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56db3be9-4ef2-40c2-be0c-4bfe48533448 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 254

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.436479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cebd21a9-06ed-4db2-a8cb-c6812fe52fcd · 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 Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:00.101399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a6b7539-6e06-4798-8bf7-6f1d441f1970 · inbound

Libra: Large Chinese-based Safeguard for AI Content cites this paper.

Libra: Large Chinese-based Safeguard for AI Content Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T12:17:38.650062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26ddc9bf-0b4b-4014-a8e2-123d184df4a3 · inbound

PolicyLong: Towards On-Policy Context Extension cites this paper.

PolicyLong: Towards On-Policy Context Extension Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:55:59.923299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.