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Paper Citation Record · LEDGER

Monotonic Chunkwise Attention

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1712.05382.

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

pith.paper-citation-record.v1
1712.05382 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 2026-08-07T11:02:25.841709Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T23:15:07.818765Z

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 5a38fa6c-b27f-4303-8b21-4b6982d36a51 · inbound

Generating Long Sequences with Sparse Transformers cites this paper.

Generating Long Sequences with Sparse Transformers Monotonic Chunkwise Attention

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T19:50:53.415498Z

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=2026-05-10T19:50:53.385943Z digest=sha256:573dd36bf8484ab42706ee364d51781fcf71eb739563a78f8f0d78e67ffbf56a

Observation 90548500-351e-441d-ae65-0c34ae69fbe0 · inbound

MFLA: Monotonic Finite Look-ahead Attention for Streaming Speech Recognition cites this paper.

MFLA: Monotonic Finite Look-ahead Attention for Streaming Speech Recognition Monotonic Chunkwise Attention

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T11:02:25.841709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:25.841709Z digest=sha256:4d69dd8d5fb363cb2b576d182eed50442f9e60e788e0aa73b59184675abffaa7

Observation d028c7fa-10e6-491a-96f2-6663fe680bf5 · inbound

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization cites this paper.

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization Monotonic Chunkwise Attention

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:08.587929Z

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=2026-05-08T12:25:52.847432Z digest=sha256:7e7ed1d4e7308cd3fe9a892341e08f7dcb2726689f934bf468f48473a9799974

Observation ddf94be6-5a23-4283-9390-0b21f4daf380 · inbound

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization cites this paper.

PairAlign: A Framework for Sequence Tokenization via Self-Alignment with Applications to Audio Tokenization Monotonic Chunkwise Attention

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:15:07.819968Z

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=2026-06-30T23:14:32.494076Z digest=sha256:283be158994e3dc52b14fe622b540514cc25b5cbf0c2f3547ed9674be3863ce8

Observation c81a6c7a-fe1a-45fd-a582-9682941270b5 · inbound

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach cites this paper.

Do LLMs Need Architectural Changes for Simultaneous Speech Translation? A Prefix-to-Prefix Data Driven Approach Monotonic Chunkwise Attention

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T06:05:30.314779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:05:30.314779Z digest=sha256:bd87fc9df29d6aa5a927be19065181365ddf8e3027385e9bd08259e5052ea87a

Observation 12c857d5-3798-4b19-9cf9-71c3cdd98e71 · inbound

SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision cites this paper.

SimulS2ST-Omni: Data-Efficient Streaming Speech-to-Speech Translation via Explicit Trajectory Supervision Monotonic Chunkwise Attention

Reference 158

Resolution
unresolved
no resolver link, observed 2026-08-01T11:43:06.461373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T11:43:06.461373Z digest=sha256:9276b9be6c1a7f6d0506e12051e61257bea86d0b9d1fc71f62c3b22a021d24aa