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Paper Citation Record · LEDGER

Towards Signal Processing In Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.10254.

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

pith.paper-citation-record.v1
2406.10254 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:41.498462Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T10:06:09.441422Z

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 a99a49e9-aead-4e07-a5d9-4806da08bf8c · inbound

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization cites this paper.

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization Towards Signal Processing In Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T21:23:30.132822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:23:30.132822Z digest=sha256:4067452ed315f406a91b68aaaa74af6b9d79d395bbc4aed339ac45fa3845a897

Observation 5097a99d-b5cb-40dc-ac38-a573db7513f5 · inbound

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey cites this paper.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey Towards Signal Processing In Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T11:40:41.498462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:40:41.498462Z digest=sha256:3ffa91a4434482ddbc593b059d6317dd3d1bb03d8ff85de8dcd91811ce8a0991

Observation a51dd5a8-e6c3-46b8-b536-0410313eba26 · inbound

Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention cites this paper.

Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention Towards Signal Processing In Large Language Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:21:16.835098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-22T08:20:28.158769Z digest=sha256:bbdcd405c238e3af239e17dbd562aea694dce855bfba0d64346ccddb3bbe941f

Observation a599a85b-8b25-4952-872e-ec5cc5eaa402 · inbound

Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention cites this paper.

Energy-Gated Attention and Wavelet Positional Encoding: Complementary Inductive Biases for Transformer Attention Towards Signal Processing In Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:24:00.027572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-29T22:21:32.654914Z digest=sha256:6cc06b5d35d61f936e93ff1397e76bc6c5a845df0ae750a7f8f2c41fadffe08c

Observation 00e6e390-9e90-434b-9a79-7a5f41676dcc · inbound

Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding cites this paper.

Beyond Sinusoids: A Morlet Wavelet Framework for Transformer Positional Encoding Towards Signal Processing In Large Language Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:06:13.215811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T17:34:08.798649Z digest=sha256:c811504d18d3ea4e4be509554bd96ad888cb47445d84296c69529e45984a81fe

Observation 28d69deb-9977-4d7d-9f22-dca19e11c7ab · inbound

Multiscale POD of Transformer Attention Fields: Scale-Selective Analysis via Morlet Scalogram cites this paper.

Multiscale POD of Transformer Attention Fields: Scale-Selective Analysis via Morlet Scalogram Towards Signal Processing In Large Language Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.708900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T23:22:41.835971Z digest=sha256:5eca4a58decc68feea0976d3d6d408d8e7c2614207e5e12710da639d16d5e0c3

Observation a124e326-5996-43df-b8c8-7ae10b0c3598 · inbound

FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention cites this paper.

FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention Towards Signal Processing In Large Language Models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-09T10:06:09.442770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-09T09:58:20.387878Z digest=sha256:6aedf73e175295146a41b20679ef63bd30ed2c951552916208406ff40b9ea419

Observation 4d5b8b6f-a60c-4d7d-8ffc-b589eaefb6c7 · inbound

Mendel G\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution cites this paper.

Mendel G\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution Towards Signal Processing In Large Language Models

Reference 291

Resolution
unresolved
no resolver link, observed 2026-08-11T00:33:46.578287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:33:46.578287Z digest=sha256:926a83adca2558659c0ff80ad544447dd570c0ae06e1ab7dcf019d202d41c044