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Paper Citation Record · LEDGER

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.13831.

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

pith.paper-citation-record.v1
2501.13831 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:38:33.441307Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b5f1553-6c2a-426c-93eb-76ab39d70d61 · outbound

This paper cites Reducing sequence length by predicting edit spans with large language models,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Reducing sequence length by predicting edit spans with large language models,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.839366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.237601Z digest=sha256:0e468fc9e61feb264905d436916e0f7a442ece297aee330355ed36e78fef4766

Observation 68ad1138-c4a9-4182-9beb-fd1c2b6fd8f3 · outbound

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

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.826859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.253522Z digest=sha256:4ec42bd37f1e62f7dab51253d89dee8989bb5c0ae9e94cdbc9bd358baa643548

Observation 875ff662-edb7-4632-93f3-df1bb5f73b70 · outbound

This paper cites Language models are few-shot learners,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Language models are few-shot learners,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.815578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.258183Z digest=sha256:5a4e9e1ec74418ed4b6a1226460827788421737ce5bb5111d54236676e385e60

Observation d7217e6e-7d41-41d5-a48e-2f213afcafe5 · outbound

This paper cites Palm: Scaling language modeling with pathways,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Palm: Scaling language modeling with pathways,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.262341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.262341Z digest=sha256:36fd8220015cd4ebb4de67b164034b36c8ac84f2489df10d685128eeeef20f0a

Observation 5f4022f5-0a43-41c2-8713-e0033e8ea754 · outbound

This paper cites PaLM 2 Technical Report.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing PaLM 2 Technical Report

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.272511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.272511Z digest=sha256:96d2aa6863020ec1ec164efead946ae0b5118d1f84db9f74678d99b02c2e47ca

Observation d70ae349-196f-418e-8ae2-b333d46db73f · outbound

This paper cites GPT-4 Technical Report.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing GPT-4 Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.277815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.277815Z digest=sha256:3a9496d1a0264cf51bfa8268a66a1c0bca66cc8e5cae5f282937b9f157d07569

Observation 4d192deb-50a4-480a-8668-5325d0b73217 · outbound

This paper cites A recipe for arbitrary text style transfer with large language models,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing A recipe for arbitrary text style transfer with large language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.680671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.282527Z digest=sha256:4ef5543587d6377d0af32ec00f39abe44a05394283959fea712235319b6de5db

Observation 9df6deb3-ea26-4e61-85bb-01e4e4c08442 · outbound

This paper cites A simple recipe for multilingual grammatical error correction,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing A simple recipe for multilingual grammatical error correction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.635225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.287560Z digest=sha256:e3470a054fed368f8d9180fcb94dbd9c3b94e63fd4f1bf5a1e1eeb3f32a90d2a

Observation 115966e6-08b9-42e5-a618-010dad3654d9 · outbound

This paper cites Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.293099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.293099Z digest=sha256:f5b8857eb30b12f16fb403ce1390f3a09c819bc554f665dce7850a77030bb8a5

Observation 18f532d9-3f0c-46a1-82e3-dc95dead4b17 · outbound

This paper cites Statistical phrase-based translation,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Statistical phrase-based translation,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.622877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.296846Z digest=sha256:98e733b27bab814e18aa20949138ee3618fe248a025019abfe82a18355ccc8cb

Observation 05a6cee0-ee2e-486d-b0c7-624b4bcb4f62 · outbound

This paper cites Correcting ESL errors using phrasal SMT techniques,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Correcting ESL errors using phrasal SMT techniques,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.611610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.300915Z digest=sha256:e908fd16193740ddeb9519d82370b25dc4ebb20b1a6e6aa0a0a3e33ba36a979d

Observation 27ca015b-6a39-421b-915e-02994333fec8 · outbound

This paper cites Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.304578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.304578Z digest=sha256:bbdbde9d37a6ae9f62a40a8b74636a694435fb7e7374d4dd167c4b70137bdd49

Observation e3e8c502-3046-4baa-9997-3d39d1a69563 · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Librispeech: An asr corpus based on public domain audio books,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.308882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.308882Z digest=sha256:3f043d375b90b522a684f0c6dcd1025a49fb7296a3860826fa52b14bbbb9a48f

Observation 024bd806-f20a-41b1-8086-0dc3800ac529 · outbound

This paper cites Fast inference from transform- ers via speculative decoding,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Fast inference from transform- ers via speculative decoding,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.594217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.312826Z digest=sha256:0f811af06db5b8088b37673e4ed81b2059243aa907ba74b082bfb06c6f225629

Observation 330b5402-39cd-4475-a610-2aa375ff6bb9 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Accelerating Large Language Model Decoding with Speculative Sampling

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.395611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.395611Z digest=sha256:509456e5bc1ee437252b088dd2b4f6dbe823092ac24dc7c3834c53972a97937f

Observation 5d915029-8a69-422a-ae27-a90ead646bb6 · outbound

This paper cites Multi-stage Large Language Model Correction for Speech Recognition.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Multi-stage Large Language Model Correction for Speech Recognition

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.437260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.437260Z digest=sha256:b0ea4cbaf0b847f6da1b0295c7aed1b9f63903f8f44306fe58ef8dbed9c637d7

Observation c353e1f8-0437-42af-87ad-e3417a6cfd2a · outbound

This paper cites Fastcorrect: Fast error correction with edit alignment for automatic speech recognition,.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Fastcorrect: Fast error correction with edit alignment for automatic speech recognition,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:38:33.580675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T15:38:33.441307Z digest=sha256:03ff87d1e6d2b63a503079224df8d6acf32ee3d8f17d8b29475d9fe3b5d5e6c4

Observation 312f0fc9-5d7e-4f67-bd7d-98542d35e24c · outbound

This paper cites Available: https://jmlr.org/papers/v24/22-1144.html.

Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing Available: https://jmlr.org/papers/v24/22-1144.html

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T15:38:33.267995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:33.267995Z digest=sha256:2318dae9ac214acc5be4dbe98912f3a875524ce64a6a719c44134f8912666f81

Pith citing papers

No inbound Pith citation observations are available.