Paper Citation Record · LEDGER

Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2007.14902.

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

pith.paper-citation-record.v1
2007.14902 v3

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 2026-08-12T06:34:41.77262+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:21:55.097279Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:21:37.385319Z

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 e71d45e2-3559-4f95-80c1-a03a31bd19a2 · inbound

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks cites this paper.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T05:21:55.097279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b458f3b-2af0-44ce-920a-2ce3912810d2 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:38.144287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a7b52bd-8181-448a-9063-78aadb4f44e3 · inbound

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans cites this paper.

ESPFormer: Doubly-Stochastic Attention with Expected Sliced Transport Plans Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T11:23:58.542022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23c6d754-f237-4a71-9389-67ef0a8d69e1 · inbound

Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part III: Modeling The Next Generation Surveys cites this paper.

Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part III: Modeling The Next Generation Surveys Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:53.313519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac28da9-62f4-44db-b904-ca9b569171bb · inbound

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging cites this paper.

SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:21:37.389145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e04374ce-f3de-4284-ac12-4545da574cf5 · inbound

MixFormer: Linear Transformer with Mixture of Memory Experts cites this paper.

MixFormer: Linear Transformer with Mixture of Memory Experts Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T17:02:06.846478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.