Paper Citation Record · LEDGER

Why Does the Effective Context Length of LLMs Fall Short?

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2410.18745.

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

pith.paper-citation-record.v1
2410.18745 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 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 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:42.370953Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e88427c0-687d-4f77-b162-da7af3e8fca8 · inbound

Large Language Models Can Self-Improve in Long-context Reasoning cites this paper.

Large Language Models Can Self-Improve in Long-context Reasoning Why Does the Effective Context Length of LLMs Fall Short?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T21:59:11.318494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9dd32fa-fb61-4bec-99dd-d3059e8d4dc5 · inbound

GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models cites this paper.

GIRAFFE: Design Choices for Extending the Context Length of Visual Language Models Why Does the Effective Context Length of LLMs Fall Short?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:52:57.022710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb8880f-4595-4d0a-a18b-38c610de0259 · inbound

MoBA: Mixture of Block Attention for Long-Context LLMs cites this paper.

MoBA: Mixture of Block Attention for Long-Context LLMs Why Does the Effective Context Length of LLMs Fall Short?

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:15:46.132633Z

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.

Observation 3f8256ae-7200-4e76-8c14-7cd9db4447a3 · inbound

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation cites this paper.

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation Why Does the Effective Context Length of LLMs Fall Short?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:12:42.370953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e75f048-2abd-443f-bc70-150a509ea2c6 · 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 Why Does the Effective Context Length of LLMs Fall Short?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:01.124930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b7d0d9-2abc-4096-86c3-f947ae688f5e · inbound

The Prompt is Mightier than the Example cites this paper.

The Prompt is Mightier than the Example Why Does the Effective Context Length of LLMs Fall Short?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:09.630240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb161175-b071-4cf2-9d24-3a4c9ee5cbc7 · inbound

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond cites this paper.

Mono: Is Your "Clean" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond Why Does the Effective Context Length of LLMs Fall Short?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:01:16.174655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbf28534-21b4-4817-ab32-7894281037c6 · inbound

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation cites this paper.

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation Why Does the Effective Context Length of LLMs Fall Short?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:25.264654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b31ca90f-d1eb-44e3-af07-b7996050a241 · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems Why Does the Effective Context Length of LLMs Fall Short?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:16.428350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6705ba03-5846-494e-b84d-59c35f98ae6b · inbound

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models cites this paper.

NeedleChain: Measuring Intact Context Comprehension Capability of Large Language Models Why Does the Effective Context Length of LLMs Fall Short?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T11:46:27.504905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 167fb6e6-fc93-49bc-8b59-88be6e5490eb · inbound

Measuring How (Not Just Whether) VLMs Build Common Ground cites this paper.

Measuring How (Not Just Whether) VLMs Build Common Ground Why Does the Effective Context Length of LLMs Fall Short?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T10:42:22.012559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f47b810-43cf-49e0-9982-4ff5bda4db52 · inbound

AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management cites this paper.

AgentProg: Empowering Long-Horizon GUI Agents with Program-Guided Context Management Why Does the Effective Context Length of LLMs Fall Short?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:43:42.223654Z

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.

Observation 65b4a0da-01e8-4246-87b1-bf5cf6dee193 · inbound

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation cites this paper.

AdaCluster: Adaptive Query-Key Clustering for Sparse Attention in Video Generation Why Does the Effective Context Length of LLMs Fall Short?

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:43:49.790784Z

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.

Observation ae6d7b18-3025-4f5f-8488-81db3b6d13d3 · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models Why Does the Effective Context Length of LLMs Fall Short?

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:18:58.990815Z

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.

Observation 5b710e88-439d-488d-878d-586e22dbe32a · inbound

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods cites this paper.

An Empirical Evaluation of LLM-Generated Code Security Across Prompting Methods Why Does the Effective Context Length of LLMs Fall Short?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:34:48.529821Z

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.

Observation 53cb9ccd-9cf8-4052-9c09-1dfcd2920b0d · inbound

Enhancing Reliability in LLM-Based Secure Code Generation cites this paper.

Enhancing Reliability in LLM-Based Secure Code Generation Why Does the Effective Context Length of LLMs Fall Short?

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T15:14:46.830946Z

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.

Observation 059d9869-a618-465b-9fd4-c0a5de9d1030 · inbound

FlashCP: Load-Balanced Communication-Efficient Context Parallelism for LLM Training cites this paper.

FlashCP: Load-Balanced Communication-Efficient Context Parallelism for LLM Training Why Does the Effective Context Length of LLMs Fall Short?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:27:28.004096Z

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.

Observation 39d56dd6-c445-4405-8029-0d01733f9120 · inbound

TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning cites this paper.

TAROT: Task-Adaptive Refinement of LLM-prior Graphs for Few-shot Tabular Learning Why Does the Effective Context Length of LLMs Fall Short?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:07:45.125289Z

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.

Observation 79833eb1-9df9-45d5-a0ef-ad9bbb32da7c · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Why Does the Effective Context Length of LLMs Fall Short?

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-10T20:07:33.541600Z

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.

Observation 631a51aa-541a-4a2d-b95c-05c25af1cbf6 · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE Why Does the Effective Context Length of LLMs Fall Short?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-13T06:47:09.927626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 056ea980-8adc-466a-aaa5-e936555b024c · inbound

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp cites this paper.

UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp Why Does the Effective Context Length of LLMs Fall Short?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T10:51:16.019022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25c4e556-eb76-46c2-b04d-267856c1f629 · inbound

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

Hierarchical Reranking for Scalable Financial RAG System Why Does the Effective Context Length of LLMs Fall Short?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T06:25:06.338637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.