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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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.

source=pdf_text observed=2026-08-07T14:34:02.079670Z digest=sha256:b968cd311ea9a9a5858c5693ac3d91ca84ff4dfc14de71fcff1ce4025fbdf01d

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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source=pdf_text observed=2026-08-07T14:34:02.151068Z digest=sha256:ff97c8a006a8f328d12ec30bac8326df9cbda6fb05e120481b14f12ab262a7dd

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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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.

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

source=pdf_text observed=2026-08-07T14:34:02.498530Z digest=sha256:68c16b60e28dd7788612e9658774db311c70822a7db98e72a451b819e9d64f9b

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:ebdbca333112f555639088bf0e4c0b8a55b59331cb0556a1e7feffcc1ac15fd6

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 2026-08-10T06:31:04.303077+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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no resolver link, observed 2026-08-07T14:34:02.794877Z

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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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:02.934143Z digest=sha256:1682a6381e67d28d13cd296dc96d5482b51473a5d1062bcb001d15bb3eed7a18

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=sha256:08e55b17a4a35308bd0561e0e7511fa4269d53e7520d97b971a7cbe3d0ad9114

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

source=pdf_text observed=2026-08-07T14:34:03.267550Z digest=sha256:68374037b50bdc79f6ee78ea67d2b0fccf9aefaa5567840ebbf2c615a7b57e8f

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
raw_fallback, observed 2026-08-07T14:34:08.750981Z

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=2026-08-07T14:34:03.403062Z digest=sha256:b0d91eb3b0ae1df7acb645e6bce5a3aa352546d5ec914055f010f8714608a65b

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.

source=pdf_text observed=2026-08-07T14:34:03.541612Z digest=sha256:8b6c640c76e675c9ab49d441ef734b75cb0a79454bb0bc20381338bb75bb89ac

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.

source=pdf_text observed=2026-08-07T14:34:03.634036Z digest=sha256:2f0be50f1ccfb1902181308858d76dfee78382524e8937c0e160f70d531438e8

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
raw_fallback, observed 2026-08-07T14:34:08.630010Z

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.

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

source=pdf_text observed=2026-08-07T14:34:03.850453Z digest=sha256:7ff3667fa728eec8ac8522c29acb7f7c32b2ad277f1c0155b452afab3cd3b5a5

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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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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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=2026-08-07T14:34:04.062945Z digest=sha256:77dd0ea008fe14c55d559a6eef76d51144efae69fefbf407df80be6ec619d8f1

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

source=pdf_text observed=2026-08-07T14:34:04.150545Z digest=sha256:16afdb1bbf847346a752bd4e732c3001555dcf9347985ca354b175df56e460ff

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

source=pdf_text observed=2026-08-07T14:34:04.298102Z digest=sha256:85b38c0d96643673b970dc32d479c1218e6526aa633f1070fb159a23663ca59a

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.

source=pdf_text observed=2026-08-07T14:34:04.356232Z digest=sha256:ecee19225c27228881c09e37a515759e8071bc5f9863a812bfb3c69aa1be5e36

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=sha256:5b72789542d268f9a0b3a0749359dc97fc88e3cbc9ecc30d5722e65a850b6026

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

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

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

source=pdf_text observed=2026-08-07T14:34:04.742388Z digest=sha256:ec1b66010af20331f8a14a78a7128aa9c42eb93dd5ad7b4359af41f18cfb1257

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:34:04.858666Z digest=sha256:58f02cee8d8bbe38aa9fb564dc6040eae2dc718ecb7673c565c222cbcf64d6ff

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:ca3776029502fa276682b714327465c8b8b98d49d5566330c0357165a2351984

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

source=pdf_text observed=2026-08-07T14:34:05.141449Z digest=sha256:d02bedc5937007da132e9046c0fb3668fa1ffc4254533e5137a2688188f67a3f

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

source=pdf_text observed=2026-08-07T14:34:05.233295Z digest=sha256:0f27f906585ef5f5b6e0f7d1f7e307396075349832839af4b469231e71ef84c1

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

source=pdf_text observed=2026-08-07T14:34:05.372881Z digest=sha256:fe4c55d845444627b8ac97df50e57444955847a788a21397e155cfd983348811

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

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

source=pdf_text observed=2026-08-07T14:34:05.491094Z digest=sha256:ccef047b3822ce951ea4efb0877973098568186e673c9c2eda8eae4a7b06a9f2

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

source=pdf_text observed=2026-08-07T14:34:05.588772Z digest=sha256:a54be47a53278ab89b8a0a39b8d44623d1f5d618b8f04c27e75a09bdefa05365

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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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:ab19d7ce9b7ab29cda40d36ccd630f521aa37a2674f134aa59856fbd19e2bdab

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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