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Paper Citation Record · LEDGER

Monotonic Chunkwise Attention

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:43:08.679399Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:50:53.385943Z digest=sha256:cfd328573045d73094e7d2d8ea2fb1958e5fa0ee31629a8c5455351d80a97a8a

Observation 64796b72-25ba-44ed-891b-acb12ae1f5d4 · inbound

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis cites this paper.

Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis Monotonic Chunkwise Attention

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T16:43:08.679399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:43:08.679399Z digest=sha256:b87a469c72f017305263033def23d1abb0fcd8a89c75bf365fd91d22f293901e

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:b6e952f04a151e425ecfa66ce8c2599ac605f161248a2dde2c3be79bc65b3005

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:25:52.847432Z digest=sha256:77d1b0d35096721c2499bfd7df188f6aa471052a043d3622f51c8250b09cec72

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T23:14:32.494076Z digest=sha256:6ff1fa77f0c33f249c3a922208965fab42856792deb049a64007bb7bcdb65981

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