Pith. sign in

Paper Citation Record · LEDGER

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models

As of 18 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.23054.

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

pith.paper-citation-record.v1
2607.23054 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:47:08.170882Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04a3af1f-7721-4121-abe6-810008269a09 · outbound

This paper cites Ainslie, J.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Ainslie, J

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.300071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.300071Z digest=sha256:f93a8ebcff813d6a112931123a7d9afd23002a1d6e6569e70b4a42fe98b5bcc6

Observation 77afe194-3328-4450-8a85-e5e49188a18d · outbound

This paper cites Alain and Y.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Alain and Y

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.375962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.375962Z digest=sha256:39b3e1c6c7b6e6f1f030aac004dc9253c653ea3ba1380c08bb5adb42038d4168

Observation bf903957-fa06-470e-ae9f-9b1984ff902a · outbound

This paper cites Belinkov, N.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Belinkov, N

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.450986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.450986Z digest=sha256:dbdea880eb5e66579eabf236a3494789ef7d1cedd93fe3aece50d2b5e66ddaf6

Observation d260c136-a24a-4c2e-8161-6003765d1e73 · outbound

This paper cites Bricken, A.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Bricken, A

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.536730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.536730Z digest=sha256:950a298063009674a5bbd70c0972e09c39337f10527a1ed6f2fdd293640bdd71

Observation 627d47c1-0cdc-4212-b8b6-4c0d323e0dea · outbound

This paper cites Clark, U.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Clark, U

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.740846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.740846Z digest=sha256:f15610db4fd7c4bd5c2ba7228b13341b63eee121479c04d96d1300c035ba46e9

Observation c5661f29-3dc7-4dfc-b32d-453f8acaba9a · outbound

This paper cites Conmy, A.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Conmy, A

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.903779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.903779Z digest=sha256:4a89e2274705d37a0e3a8ab1556d2a5c7bcfc32684fa032d0e961b441812d2d4

Observation bec3a37b-6c65-48df-a151-8d9074d91573 · outbound

This paper cites Cunningham, A.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Cunningham, A

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.951932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.951932Z digest=sha256:4b4b1147a9e90ab05327552cd36e235540fc77b7091910cb45a171ff6a2b87ff

Observation 1b984e2f-25c6-4657-9d45-a31f75986b8c · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:06.996718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:06.996718Z digest=sha256:fbb53c1fb59ddfbb10d547d4d4b0e8e96ba1422be2cfccdde9a6e2c456137fb6

Observation 063a0297-e8bd-4c78-a601-63fefd94a17b · outbound

This paper cites DeepSeek-V3 Technical Report.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models DeepSeek-V3 Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.104250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.104250Z digest=sha256:ffd55a20b72228feb8f03d722b07be6a2acb2f26a235265aede2286de5f2d6ee

Observation 840f7dbb-c781-419e-b7d7-effc2702d31d · outbound

This paper cites Eldan and Y.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Eldan and Y

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.196846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.196846Z digest=sha256:ee48780418006b9d4532bec29caf5b1d0e5cf940167d93d709b57de150fa3e0b

Observation 1751a1d7-802f-47d3-895a-c00550814b3b · outbound

This paper cites Elhage, N.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Elhage, N

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.349832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.349832Z digest=sha256:35bff6271f2fbc1dae177af4cdde1f23697665039aed10181a0843b384ecb6b5

Observation f4eefd06-7d6f-4b08-90e8-6550b0b04102 · outbound

This paper cites Elhage, T.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Elhage, T

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.460337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.460337Z digest=sha256:11649c00773aac516dcaa8bf301803f09fd63e2706fa9d4b8d407876f8c1dcc4

Observation da7a03ce-50d7-44bc-8722-0e56b85b514d · outbound

This paper cites Hewitt and C.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Hewitt and C

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.557965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.557965Z digest=sha256:40bd03f3af444de184e2e535833049a87fd424516aff938baa8a0ab84e7143e9

Observation 8b072cb2-7ddc-4f7e-969d-a1058fa8e5c6 · outbound

This paper cites The Stack: 3 TB of permissively licensed source code.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models The Stack: 3 TB of permissively licensed source code

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.597461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.597461Z digest=sha256:11d96ab83978a6e7cfa3cbbaf0df675a6b366c2514b923a401a64fb0698b10df

Observation 2fc34cf0-85c8-4957-9809-41bb8c9611dd · outbound

This paper cites an unresolved cited work.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.694248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.694248Z digest=sha256:9d703a18cdac0818532acee3b7fcb25ab143553a4b3c1e6bab80d65f2835142f

Observation 787f0dba-7d3c-4322-80c2-d99414f42298 · outbound

This paper cites Nanda, L.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Nanda, L

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.761761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.761761Z digest=sha256:706bf9fb5ca455fcb305a764581199c0135cbbd09cc5b60d9cd16d8a0ac1c404

Observation e2e62617-879a-4834-b7e3-a0bee4e81565 · outbound

This paper cites Olsson, N.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Olsson, N

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.830220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.830220Z digest=sha256:5022ae75590362cb04a32ef429bc6fd1e6055d373df18e6e2074c0697fa58c6e

Observation 65b5b572-436f-4b4d-9fa1-b4c2880fbf4d · outbound

This paper cites OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:07.931681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:07.931681Z digest=sha256:9f5b9bf7e719e0fe0ee25364b803e2461da7842b1f1107d1b38c9ace459038d4

Observation f939ac05-98b0-4211-b3d4-f00bd6b4390f · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:08.032030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:08.032030Z digest=sha256:4f75d1c64780d4a7abe521a00d038788bc76f8938b8ba57c09638a196e5c09ba

Observation dbe50eee-48eb-4fa5-96f5-7cbbcfd4f758 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Fast Transformer Decoding: One Write-Head is All You Need

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:08.098841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:08.098841Z digest=sha256:93a7c67bbf00bb711c1048fb747a4e78b5072a43aaf9933f6634543f86bad631

Observation 6848c6d8-bf6f-440e-b3e8-017182fc383c · outbound

This paper cites an unresolved cited work.

Through the Bottleneck: How Multi-head Latent Attention Separates Content from Position in Language Models Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T03:47:08.170882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:47:08.170882Z digest=sha256:478a7f13160fdae21aab4cbabb853ae2180e180652f3be12bfb2c691a00103e4

Pith citing papers

No inbound Pith citation observations are available.