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Paper Citation Record · LEDGER

On the token distance modeling ability of higher RoPE attention dimension

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.08703.

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

pith.paper-citation-record.v1
2410.08703 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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:42.437305Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T07:06:52.686805Z

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 6ca60351-1b4a-4f08-9adf-f3f6b4859b07 · inbound

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs cites this paper.

Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs On the token distance modeling ability of higher RoPE attention dimension

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T00:57:32.425436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:57:32.425436Z digest=sha256:51c6f5c17ccb4b15c5b2ddf06ee3df8b78bb16a50d721d24057f7ea5af748844

Observation 1e53a283-b2d2-438f-84e6-df708c341b53 · inbound

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration cites this paper.

Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration On the token distance modeling ability of higher RoPE attention dimension

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T13:28:02.096060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:28:02.096060Z digest=sha256:548a6d384a8c7e5777b60a4668e37248b522f8f661bdd7b3f82d327c899cbb2e

Observation fc685a8a-5258-401e-b729-4d8d8067d15f · inbound

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification cites this paper.

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification On the token distance modeling ability of higher RoPE attention dimension

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-08T13:46:11.387098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:46:11.387098Z digest=sha256:5bba96dd50146b3bb28f68cf0f5095b8432f145e3bc08654ea5b9db6ef054129

Observation d9744afc-b26d-45b2-961d-7f1411ef2124 · inbound

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

Effective Length Extrapolation via Dimension-Wise Positional Embeddings Manipulation On the token distance modeling ability of higher RoPE attention dimension

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:42.437305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:12:42.437305Z digest=sha256:cc9382893efdf74ad7b98ee9da592258405752600c3346ec050a2b23fe8cb6eb

Observation de703262-6144-436a-aa0c-1f8d73bca45a · inbound

Graph-Guided Adaptive Channel Elimination for KV Cache Compression cites this paper.

Graph-Guided Adaptive Channel Elimination for KV Cache Compression On the token distance modeling ability of higher RoPE attention dimension

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:06:52.688153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T07:06:08.786535Z digest=sha256:d9e9610da8f500fd699a363d7a45a69dc211be82aa59a1bdc606d66a9a31b5ae