Pith. sign in

Paper Citation Record · LEDGER

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2604.04250.

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

pith.paper-citation-record.v1
2604.04250 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T10:31:11.574398Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7703346e-a876-48c8-85a2-c8327e5a4832 · outbound

This paper cites Vaswani, N.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Vaswani, N

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:1a74657002dbc35d17b42939f21fa21b79c4d7ef88f4aa4d175039222734f89a

Observation 5707d348-5794-4cb8-bf38-5e6e9bcb18a6 · outbound

This paper cites Attention Residuals.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Attention Residuals

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:e6b17e1253c1b5bba026691561ffba0d3155293782b4653fb02b868d03472175

Observation 4e36abf3-9eff-4fac-ab04-ed458bacc51f · outbound

This paper cites FNet: Mixing Tokens with Fourier Transforms.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling FNet: Mixing Tokens with Fourier Transforms

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:68121fd1f4850027c41cd54b1ebd137d0d55c5b49faab4ab202c97c4b48ecd10

Observation aec52186-3051-4f9f-a5a6-24b268bf7fe0 · outbound

This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:2e2be1df1993449fffe0ac71abcc7fb6cff4e8e097687602d607fa789b4d46fc

Observation d553c107-579f-46af-9e0a-3795b79e61f3 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Efficiently Modeling Long Sequences with Structured State Spaces

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:16723641ab688f57048ec2cc544a0d7d0a44ea34760d89fc486e28aa6762876a

Observation 8f78a6a2-df7c-4eaa-b670-7694df30aa99 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:5a96e65e2fc04eaad9bf72dd71b48bb60651bad441fb00d6feeb4e777e799896

Observation 3121ef41-e7ff-42e2-a873-bee2f9e471b9 · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Retentive Network: A Successor to Transformer for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:de8f850e11e1d18ecc2b16a7546044b1a4d14afa9b578e7258819eee75392594

Observation 4b4bd540-e22a-40c1-a707-700bf42071d0 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling RWKV: Reinventing RNNs for the Transformer Era

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:f5870f56d2cc683139bbbe590396a440caab8f2ccdbeddc4ce48bfe303da24c5

Observation 9cdce8f7-b0c3-485f-ade1-7cdee9c524c2 · outbound

This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:402ebcef02ca4770934e0ffaeecc62e7039449d26c4a7f1edb0a380e1b0a2972

Observation 72ac5f5c-6eaf-40d2-b367-bc54c2b40a6d · outbound

This paper cites Gaussian Error Linear Units (GELUs).

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Gaussian Error Linear Units (GELUs)

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:4ee1534479c7238f920b9b86dcce4a4e1397ef3b98201f7492c09ea9c24ee700

Observation ff976866-9922-48f5-a20c-ce638e9152e0 · outbound

This paper cites Zhang and R.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Zhang and R

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:e5b76c6c8b2c397b5fc75f15fdbd374ccfb679e6d9981ed4f98c0558a38724df

Observation c32b92d2-7676-4202-9110-6e209f41fad0 · outbound

This paper cites GLU Variants Improve Transformer.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling GLU Variants Improve Transformer

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:8ea48f5e5bf7bab7c058b1c979cc6d4bc38c3d14e952ee01d30636ab44aca8eb

Observation 3a8e1fde-3e5b-41fe-8d5f-9d11b6e7f9ee · outbound

This paper cites Tillet, H.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Tillet, H

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:f8185d2fa62a64eeb24fa04460aba40f56fbf9cebb5cd5105c97a1138bcee709

Observation 3dcb8232-6412-4060-8753-05d35ed06c51 · outbound

This paper cites an unresolved cited work.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:197c956aad67c0a60107c827153f9519c0c9a641aef2825cb8d462682bd142fb

Observation c07c43d8-339b-4fb0-8f67-4d34be3b2321 · outbound

This paper cites DataComp-LM: In search of the next generation of training sets for language models.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling DataComp-LM: In search of the next generation of training sets for language models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:3344216dbfa6080c0a2f01c7f19d89e724773098050186c80d5e558befd93786

Observation 54aa9037-bae9-4b1d-85d7-bfbefadd2035 · outbound

This paper cites Merity, C.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Merity, C

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:c40eb967ee761d1ae228622f6c1ddfa9ed934c3c6fe3a26479afc235766396cc

Observation ecb1fb36-6658-46af-bffb-3c56975d1798 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:e424b88a921e194c50732d4771fee7fd0b6538d5244a57217ff77bff8cc91c36

Observation 47726064-f46e-4340-9f63-e40a1d5fb96e · outbound

This paper cites Decoupled Weight Decay Regularization.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Decoupled Weight Decay Regularization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:8e50c40e7720c96b3212dd168fcbef4f328ef22763fef7318a3395e11178f556

Observation 56eae15b-f905-43c6-908c-6d1d2a43da2d · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:f70a8909b02ef47ec1dcd2c27ad5269b2c3d382744be589da71f0c2931ccb461

Observation 7590af33-eed2-4f3f-acea-f7c03fa33875 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:e560fe2c5490ae46517d0a0f4444c14661d3667660bd48b865277a6c60cdef8f

Observation 4168f5ca-1750-4920-a40e-8a61eb85b34a · outbound

This paper cites Radford, J.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Radford, J

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:8e881c5bd58b0372be5a38460feec3eb9c8b118bcff13f357a79e2a76fbb541c

Observation 4fc6dae8-1f2d-4b7e-a486-ecb4b7fb4cb4 · outbound

This paper cites Ben Allal, A.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Ben Allal, A

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:ee7c4f124ae253131e50783392a5bc503db52016b40512841be6f50f849af761

Observation 4bc26667-d7c1-46e6-b9db-2ecde9b85766 · outbound

This paper cites an unresolved cited work.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:8d507d89ab64340b53f320f6c8f2d942a07c8635508e44fa92cfcad49446dd44

Observation 1afef0e9-4bb2-40e6-b726-e1e424629901 · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:eb9c855061e3deead33b81556b59b2d35c07cde20d9552b84a1b7f789a3a3889

Observation 731ddbc3-3f9a-427c-8ff4-7dc27a655a6d · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

CAWN: Continuous Acoustic Wave Networks for Autoregressive Language Modeling Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-13T10:31:11.574398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T10:31:11.574398Z digest=sha256:8a3435d1ff4b38633c9ba3822f58c161f29f0a2b4ec5da03fa002689f9a93a88

Pith citing papers

No inbound Pith citation observations are available.