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Paper Citation Record · LEDGER

LongAttn: Selecting Long-context Training Data via Token-level Attention

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.16860.

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

pith.paper-citation-record.v1
2502.16860 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 2026-08-11T23:46:08.837385Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:52:47.974555Z

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 95fcb99a-22eb-4b97-9da6-c487c0b61d4d · inbound

Structured Memory Mechanisms for Stable Context Representation in Large Language Models cites this paper.

Structured Memory Mechanisms for Stable Context Representation in Large Language Models LongAttn: Selecting Long-context Training Data via Token-level Attention

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:44.776125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:44.776125Z digest=sha256:bc820bdd15aa92c2e29103dcb16c859bbde7292da5a87265887fbaa640da5296

Observation 08309b3f-dfca-4cb2-b6b9-0ee3308af932 · inbound

Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation cites this paper.

Modular Techniques for Synthetic Long-Context Data Generation in Language Model Training and Evaluation LongAttn: Selecting Long-context Training Data via Token-level Attention

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:52:47.978199Z

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=2026-08-05T12:52:47.622428Z digest=sha256:1757fe376fa7006c10d18307d94b3b729ae3104eb2ab6546526077d200fd6987

Observation 98108d02-c141-47d1-b782-01ac336a211b · inbound

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora cites this paper.

The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora LongAttn: Selecting Long-context Training Data via Token-level Attention

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-11T23:46:08.837385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:46:08.837385Z digest=sha256:4a37f803e84619487b91c6dcd724af97e97b7ca2979805ab67130802cfb2d041