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Paper Citation Record · LEDGER

Exploring Context Window of Large Language Models via Decomposed Positional Vectors

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.18009.

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

pith.paper-citation-record.v1
2405.18009 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:45:01.185583Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:03:47.740636Z

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 252a49c2-5e77-43f6-b769-4af2c14c3beb · inbound

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization cites this paper.

Fourier Position Embedding: Enhancing Attention's Periodic Extension for Length Generalization Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T05:18:54.433336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T05:18:54.433336Z digest=sha256:2679050f36471451eea79ef581ef6ff7bf252eb28c41cd9b97ec4ff188f4d7fd

Observation b0b4db03-9465-434d-8158-44eedeeb9814 · inbound

Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows cites this paper.

Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T22:42:57.606582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T22:42:57.606582Z digest=sha256:1b1142994967bcbbf6203d0ef3739ba7f51a3c0d9cb0fdddc36c802b6f8f7a05

Observation bda83ab4-589d-497e-ac29-62899cb48527 · inbound

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation cites this paper.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T13:02:23.430948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:02:23.430948Z digest=sha256:70bfa52c7d4343dfdbd77569ceb2ca660d2f19d7029e100c9c56121f85944207

Observation 326b05f6-8471-4a69-8569-2d2117aba836 · inbound

LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration cites this paper.

LogiDebrief: A Signal-Temporal Logic based Automated Debriefing Approach with Large Language Models Integration Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T23:45:01.185583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:45:01.185583Z digest=sha256:46d357c9f3233f029d7c83aa7a1f4deb25086b9e612936bba91b17898bc8a312

Observation 9f8c0bbe-fe97-4539-ad4d-ff8d30f89dbe · inbound

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis cites this paper.

Improving Data and Parameter Efficiency of Neural Language Models Using Representation Analysis Exploring Context Window of Large Language Models via Decomposed Positional Vectors

Reference 130

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:03:47.847774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-06T17:03:44.850885Z digest=sha256:93d4f9b387a25685515dbd646b35201f46d8ceb89c9b09eae0a5f24f320c38ac