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Paper Citation Record · LEDGER

Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.16545.

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

pith.paper-citation-record.v1
2412.16545 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:38:33.845579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:41:33.668598Z

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 dcf95e91-fe7d-4556-a55b-364b5c28981e · inbound

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) cites this paper.

A Training-Free Length Extrapolation Approach for LLMs: Greedy Attention Logit Interpolation (GALI) Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-09T11:38:33.845579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:38:33.845579Z digest=sha256:3994fae01064eb072d0d7f09393472e3df225180c5bbfe65d2f5553955082b96

Observation 3f0aef74-aace-4685-84a2-8706fdedc2c2 · inbound

Pippo: High-Resolution Multi-View Humans from a Single Image cites this paper.

Pippo: High-Resolution Multi-View Humans from a Single Image Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-08T11:39:18.671791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:39:18.671791Z digest=sha256:4eda1bc56711eb0d6394be9a6485c904e26f8dafc783be136574d9c2525387e3

Observation dbb7affd-7b08-4c85-9bcd-6eb3e47e0215 · inbound

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs cites this paper.

Language-Unlocked ViT (LUViT): Empowering Self-Supervised Vision Transformers with LLMs Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:08.954914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:08.954914Z digest=sha256:7fae8c20698835aa73ebe19a645bbb590c08cfa0691cb43a35dfe46f869ff583

Observation 35743b20-732d-41ee-9964-f63e2db8733e · inbound

Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation cites this paper.

Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-04T22:30:12.176649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T22:30:12.176649Z digest=sha256:ab4e6a61d5755f01800a219ece1ac01e254060b0e6949dc1f2585a36d54e706d

Observation 62eea7eb-d9ae-4f93-bfb8-fed493772136 · inbound

CacheClip: Accelerating RAG with Effective KV Cache Reuse cites this paper.

CacheClip: Accelerating RAG with Effective KV Cache Reuse Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:41:33.673708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T12:36:41.630618Z digest=sha256:b9232a355975293bcaebcc1f64c56e0662c2d303b23c1a3bfe8d3f8755f95b2b

Observation 087b402c-0907-46c0-9047-500618427325 · inbound

R\'enyi Attention Entropy for Patch Pruning cites this paper.

R\'enyi Attention Entropy for Patch Pruning Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T17:23:02.691009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T17:19:35.752274Z digest=sha256:e8bfccd72d0be0e279c0b83739e7d346c43494a44121b57dc8a7bbb8966ed31a