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Paper Citation Record · LEDGER

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2505.18488.

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

pith.paper-citation-record.v1
2505.18488 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:05.688455Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:59:28.574238Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy17
  • unresolved16
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 593da6f7-c06c-4204-8ae3-4705e869abc8 · outbound

This paper cites JAX: composable transformations of Python+NumPy programs, 2018.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications JAX: composable transformations of Python+NumPy programs, 2018

Reference 1

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no resolver link, observed 2026-08-07T14:34:02.079670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86200cf7-bdff-4e0c-848c-77549305b4b9 · outbound

This paper cites Automatic annotation and evaluation of error types for grammatical error correction.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Automatic annotation and evaluation of error types for grammatical error correction

Reference 2

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no resolver link, observed 2026-08-07T14:34:02.151068Z

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Observation 3cea0987-ca2e-4352-a5ca-b67be7329e8d · outbound

This paper cites Grammatical error correction: A survey of the state of the art.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Grammatical error correction: A survey of the state of the art

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2e18f9ef-51d8-47b9-b73f-6fb9b43013c3 · outbound

This paper cites Heterogeneous low-rank approximation for federated fine-tuning of on-device foundation models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Heterogeneous low-rank approximation for federated fine-tuning of on-device foundation models

Reference 4

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 694ee2d5-2812-44b0-9b52-dd1b171f0d6f · outbound

This paper cites (amplified) banded matrix factorization: A unified approach to private training.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications (amplified) banded matrix factorization: A unified approach to private training

Reference 5

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:02.498530Z digest=sha256:3ebd942b0e344b5753923a97d9d50239aac7699bce17c6b48f358d93dfa69c26

Observation 8ce1c806-f3a2-4ad1-a9e4-2a4a6397dc3b · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Scaling Instruction-Finetuned Language Models

Reference 6

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no resolver link, observed 2026-08-07T14:34:02.586471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:02.586471Z digest=sha256:3dbf0a726ae7a836ea15c027bd17c36b96ceeeeb0de0c76056199107cb6e9c4f

Observation b7f6044b-645a-4d5b-9097-39e727abf29b · outbound

This paper cites Federated learning in practice: reflections and projections.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Federated learning in practice: reflections and projections

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 284eea6d-2606-4289-b569-28e0315b0b1e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Gemini: A Family of Highly Capable Multimodal Models

Reference 8

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Unavailable: canonical work link unavailable.

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Observation 2643e3e1-2b42-4c7f-97c1-3fd1225b8eb2 · outbound

This paper cites Apple intelligence foundation language models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Apple intelligence foundation language models

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:02.934143Z digest=sha256:6b98075b4dd811924ecfe5e523178b903df1f71703457c9e1c2c89c28969c6ac

Observation 0998e762-0463-4060-abb4-7a1d5a399188 · outbound

This paper cites Federated Learning for Mobile Keyboard Prediction.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Federated Learning for Mobile Keyboard Prediction

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:03.025591Z digest=sha256:416e60b1fd29eeb045d9489483e6734db09664a145692bd9f704796dc082e562

Observation 1ca73f28-31e1-4f5c-9b77-40b46737b0c2 · outbound

This paper cites Pre-text: Training language models on private federated data in the age of llms.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Pre-text: Training language models on private federated data in the age of llms

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 67e5822f-9eea-4b5a-9e6f-682726f83637 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Lora: Low-rank adaptation of large language models

Reference 12

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no resolver link, observed 2026-08-07T14:34:03.267550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 15879489-9d1b-4ee6-8e02-780f01a964d5 · outbound

This paper cites User inference attacks on large language models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications User inference attacks on large language models

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:03.403062Z digest=sha256:9b156f6975926d7c3ffbf68d69c0243b10f8f301f044beed08411c06e03f3e1f

Observation 66ce17f6-322d-475e-a918-552dcd5d40a0 · outbound

This paper cites Harnessing large-language models to generate private synthetic text.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Harnessing large-language models to generate private synthetic text

Reference 14

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no resolver link, observed 2026-08-07T14:34:03.541612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 02742b9f-661b-4968-9f2f-a13425b18aea · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 15

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no resolver link, observed 2026-08-07T14:34:03.634036Z

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Unavailable: canonical work link unavailable.

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Observation 92a55cdb-cf6f-4beb-a012-df6871b57438 · outbound

This paper cites Data weighted training strategies for grammatical error correction.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Data weighted training strategies for grammatical error correction

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7ecf585a-65b5-4750-b6f6-1986de049449 · outbound

This paper cites Tuning language models by proxy.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Tuning language models by proxy

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 13cfd7d2-0b65-4db4-83aa-4d4430dfa952 · outbound

This paper cites Proofread: Fixes all errors with one tap.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Proofread: Fixes all errors with one tap

Reference 18

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unresolved
no resolver link, observed 2026-08-07T14:34:03.947864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bf3c986a-d252-4a2b-ae88-c0dc5e0caa04 · outbound

This paper cites A hassle-free algorithm for strong differential privacy in federated learning systems.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications A hassle-free algorithm for strong differential privacy in federated learning systems

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f65e6fa-bb89-4b13-b2db-7278420c6228 · outbound

This paper cites The llama 3 herd of models, 2024.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications The llama 3 herd of models, 2024

Reference 20

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raw_fallback, observed 2026-08-07T14:34:08.226668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ca0fa702-90b5-4341-b5ed-2df30c2cce97 · outbound

This paper cites GPT-4 Technical Report.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications GPT-4 Technical Report

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:04.250036Z digest=sha256:d7f59cf256337cd310fcd2a1019bb4758f5b9c46c1f6c11bea5170bc1a016662

Observation 18d8aaa9-d2b4-4833-894a-c18dedf6a3a0 · outbound

This paper cites Training language models to follow instructions with human feedback.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Training language models to follow instructions with human feedback

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T14:34:07.988299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:04.298102Z digest=sha256:7d3466a73cddef7a629247a614ddc5b65105d31f15f60c0203955d9f3c847ef3

Observation 1f47acb8-7b24-4bad-aedc-ebc4367a9e40 · outbound

This paper cites Mobile Keyboard Input Decoding with Finite-State Transducers.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Mobile Keyboard Input Decoding with Finite-State Transducers

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 9a97a7dc-38d2-4628-b95a-668324c55b92 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:04.459078Z digest=sha256:a19c358fc8e090caf785f436d0cea78d1cdc452e48a8873bdbefd458ffba64b8

Observation d296e257-0476-41b9-ab67-bb22f86d84db · outbound

This paper cites Simulating Errors in Touchscreen Typing.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Simulating Errors in Touchscreen Typing

Reference 25

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verified exact
local_arxiv, observed 2026-08-07T14:34:06.258750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:04.537762Z digest=sha256:0007433a672d491e6a39b9481bf8fb9cc2b8b22d22b4d4071192a3c492bc035f

Observation 582d6041-d1f3-4995-b91c-3a990ccc7c2b · outbound

This paper cites Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models

Reference 26

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verified exact
local_arxiv, observed 2026-08-07T14:34:06.032408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:04.621317Z digest=sha256:f3e30fe0f668006b107f897bb475c5c2cc26170a00b6e74ce262ae1ba23c90d8

Observation f3f79d0a-f524-47f9-8efc-abf3329f467b · outbound

This paper cites Synthesizing privacy- preserving text data via finetuning without finetuning billion-scale llms.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Synthesizing privacy- preserving text data via finetuning without finetuning billion-scale llms

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-07T14:34:07.840904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:04.742388Z digest=sha256:1e93510a1ac4f6590d801787c466fab0085082696351bb50a2ea97aab71eddaf

Observation 38233443-b442-4b9d-b6b3-20f8edac88a1 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Finetuned Language Models Are Zero-Shot Learners

Reference 28

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no resolver link, observed 2026-08-07T14:34:04.858666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:04.858666Z digest=sha256:d13908f1e1538f287d4d26072083aac5d16b8c117c9bad78398ac82a7fbc5bb0

Observation ee27af1e-9f1b-45c6-ae44-5825f6beae7e · outbound

This paper cites Emergent Abilities of Large Language Models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Emergent Abilities of Large Language Models

Reference 29

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no resolver link, observed 2026-08-07T14:34:05.033753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:05.033753Z digest=sha256:df9e6b6bebda5daf97d64d7775923ef499c64efeb3cc5b3b2d09ad39b8f977b7

Observation 2c6a3855-d7c8-4032-85cd-5f28374694e7 · outbound

This paper cites Prompt public large language models to synthesize data for private on-device applications.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Prompt public large language models to synthesize data for private on-device applications

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-07T14:34:07.684628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:05.141449Z digest=sha256:89270c21d9371553c191d213faed59f504e9f4a35b5e81e3aad3efa8c16bf111

Observation f89f320a-1bdc-4b29-a59b-ac7b50c6f699 · outbound

This paper cites Differentially private synthetic data via foundation model apis 2: Text.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Differentially private synthetic data via foundation model apis 2: Text

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T14:34:07.338349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:05.233295Z digest=sha256:a90068c5c46ebbd6ddd2aa3ae6e88ffeb914931cf64850648072f9b90301b73c

Observation fd02c8af-b4bc-4e51-a15d-1eefca51f100 · outbound

This paper cites Federated learning of gboard language models with differential privacy.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Federated learning of gboard language models with differential privacy

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-07T14:34:07.122300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:05.372881Z digest=sha256:0d31e1b88c73adde20cc37705d354f23664c724d256b3d613bc049d4004e2d61

Observation 94e1427f-00a9-4e10-a4d3-455fd20a3cf3 · outbound

This paper cites Privacy-preserving instructions for aligning large language models.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Privacy-preserving instructions for aligning large language models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:06.855829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:05.491094Z digest=sha256:277d36ba9b1fd1be1e4b729a474b16d2aa22b105621a7d1269986e9249152363

Observation a1093cfc-1c46-4b03-aec3-7361b259e4eb · outbound

This paper cites Synthetic text generation with differential privacy: A simple and practical recipe.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Synthetic text generation with differential privacy: A simple and practical recipe

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:34:06.665284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T14:34:05.588772Z digest=sha256:71c0cc09dfa2904f38f386ce7feb53bec90c4f3d1000f3e540fac4983d02f57f

Observation 8b67bda6-6649-49ba-900a-fd5613af59bc · outbound

This paper cites Towards an On-device Agent for Text Rewriting.

Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications Towards an On-device Agent for Text Rewriting

Reference 35

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unresolved
no resolver link, observed 2026-08-07T14:34:05.688455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:05.688455Z digest=sha256:a0e04dc04a474c2ae8572664609af059d062c63fdbc4dee7e34a6b6315fbcba0

Pith citing papers

Observation 639e12c0-b0d7-48a7-a377-343db4683012 · inbound

MAPLE: Metadata Augmented Private Language Evolution cites this paper.

MAPLE: Metadata Augmented Private Language Evolution Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications

Reference 18

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unresolved
no resolver link, observed 2026-08-04T05:59:28.574238Z

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