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Paper Citation Record · LEDGER

Improving Length-Generalization in Transformers via Task Hinting

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.00726.

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

pith.paper-citation-record.v1
2310.00726 v1

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:59:20.605543Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T18:00:50.252763Z

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 9fa8c444-9829-4561-96ed-f8386aa535ac · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Improving Length-Generalization in Transformers via Task Hinting

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:00:50.255634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:baa2ce46ce0f856c079f548526a70317a2d53372fceb4c4f1e0840e9c0f9d789

Observation 8bb30264-8fc4-4369-ab57-fb6def66075d · inbound

Extrapolation by Association: Length Generalization Transfer in Transformers cites this paper.

Extrapolation by Association: Length Generalization Transfer in Transformers Improving Length-Generalization in Transformers via Task Hinting

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T04:59:20.605543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:59:20.605543Z digest=sha256:eb09737a9e693a507170680fa4eebe7d2a99e1fa85b1ba14a39a2902ec122d98

Observation 1236f773-1338-41b9-b539-f98c8beaa320 · inbound

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D cites this paper.

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D Improving Length-Generalization in Transformers via Task Hinting

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-01T21:31:00.006519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:31:00.006519Z digest=sha256:2b942ae7303a3c677bb0db9639a196a7fa9e207c0570d070bd5892beed871a32