Paper Citation Record · LEDGER

The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.07872.

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

pith.paper-citation-record.v1
2401.07872 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:43:03.663703Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:55:34.923516Z

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 518e09a1-b253-49d3-b28c-353a8acbeb7d · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.735661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 02be7d49-63bf-489d-b418-9e0a015589b0 · inbound

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis cites this paper.

A Study on Context Length and Efficient Transformers for Biomedical Image Analysis The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:08.470248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7713159-8766-41eb-9a57-3d5ed1ddfc70 · inbound

An Empirical Study of OpenAI API Discussions on Stack Overflow cites this paper.

An Empirical Study of OpenAI API Discussions on Stack Overflow The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:03.663703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9dda6c7-ecba-4127-b21c-33c47e020a63 · inbound

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents cites this paper.

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:25:18.924367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f5aceee-442c-4a8e-b4f8-e046e29493ad · inbound

Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services cites this paper.

Invisible Tokens, Visible Bills: The Urgent Need to Audit Hidden Operations in Opaque LLM Services The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:34.838742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1529251-564a-45a7-a9d2-1f08b87ff53c · inbound

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices cites this paper.

Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge Devices The What, Why, and How of Context Length Extension Techniques in Large Language Models -- A Detailed Survey

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:55:34.925142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.