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Paper Citation Record · LEDGER

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2502.10058.

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

pith.paper-citation-record.v1
2502.10058 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:36:57.149986Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:23:31.587646Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:23:32.857869Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy11
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec4ccd65-c01d-499b-82da-55648edd2358 · outbound

This paper cites International Journal of Engineering and Advanced Technology (IJEAT) 3(3), 71–74 (2014).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems International Journal of Engineering and Advanced Technology (IJEAT) 3(3), 71–74 (2014)

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.493495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.045919Z digest=sha256:af817551f45bd7c207a810c2c43e185beae0318c13a6f97d0a0d40cf1f75785a

Observation 8aa6c07c-c343-4f89-b7be-986dd142d31c · outbound

This paper cites In: INTERSPEECH 2021 (2021).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: INTERSPEECH 2021 (2021)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.483299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.050973Z digest=sha256:77a0854d58ab2cc74dda6d20afa5a6ad32e81cb5ff36c47c099059bbbd5ff960

Observation 1af28e51-9ae6-4e99-a158-faa4241f8b9d · outbound

This paper cites BERT Attends the Conversation: Improving Low-Resource Conversational ASR.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems BERT Attends the Conversation: Improving Low-Resource Conversational ASR

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.350160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.054971Z digest=sha256:1d7cbb99169de069dab2527d0ef694a86704a670ca47691727141edac94b3e27

Observation b2dc9f25-a7e9-4b97-8dca-07be07b27fd8 · outbound

This paper cites Distilling the Knowledge of BERT for Sequence-to-Sequence ASR.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Distilling the Knowledge of BERT for Sequence-to-Sequence ASR

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.059637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.059637Z digest=sha256:9abd11341debbbe15017fa6da4d822ccef98857b3a8f14965689c1572894c41e

Observation 6c869206-ad40-411e-b279-b4f9f51a86bc · outbound

This paper cites Transformer with Bidirectional Decoder for Speech Recognition.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Transformer with Bidirectional Decoder for Speech Recognition

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.322061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.064208Z digest=sha256:fa802ba883045ee7fdacab35aedc6b2700d7bae01f80ed039137350fd464a04c

Observation a2d34764-398e-439d-a63b-e280103dff11 · outbound

This paper cites Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.304734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.068857Z digest=sha256:b3dd7552821c6952c0f23763c1882e1e1348adb6cab600c821942a7cf1b37e5f

Observation 595785a6-eadf-4fc0-94b4-0dbe289ee1e4 · outbound

This paper cites In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.473014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.073731Z digest=sha256:3404d220430ef46dc7080f94013387ca515cbeb96e1bb9459d8995f3ce1547ae

Observation 7b462b6c-2352-4963-a4ab-b2672f57fc52 · outbound

This paper cites ASR Rescoring and Confidence Estimation with ELECTRA.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems ASR Rescoring and Confidence Estimation with ELECTRA

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.286737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.077495Z digest=sha256:86c2fc40d2e35343b1f26dac4657663cae7f6b7b44567bbaf2019ce645d0e8bd

Observation 7b8d939e-2c36-4e63-85f1-0d621729ce73 · outbound

This paper cites In: Asian Conference on Machine Learning.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Asian Conference on Machine Learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.462303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.081726Z digest=sha256:6a9b4ad7e7b3ab530c5114dd83f679992fbec4975bc6bb1ae5b82b245eeaabd5

Observation 4cdf2ecc-fdd5-443d-9099-385bb3dd67d5 · outbound

This paper cites Science China Technological Sciences pp.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Science China Technological Sciences pp

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.450599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.085531Z digest=sha256:ed7a962b45ed24faa359e609b65aa58e3a8642d7e6e7f1d10b6d256e0ca461da

Observation d73daa9e-73d9-46cf-9c99-af1df32860e7 · outbound

This paper cites Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition

Reference 11

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T19:36:57.269750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.091371Z digest=sha256:6e0da39fd2d40fe260b65e6e1197422f41d039b0818c638ba20bf2731ee07e74

Observation 5a656835-3708-40bb-ac1d-a30e5eb1fac6 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.096311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.096311Z digest=sha256:dc87197cf60968d2a37886bf5a6de891939d2e3e56681bdcc75970826a554a92

Observation 1935bdbe-1e11-494f-979a-16792b77876b · outbound

This paper cites Masked Language Model Scoring.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Masked Language Model Scoring

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.100463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.100463Z digest=sha256:1bf12465dea171f47d43db68d2ed0b5eeaf611919cd14708a3503555fe369363

Observation 3017ca8c-fc54-421c-ae6b-109a169dba9c · outbound

This paper cites Meng et al.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Meng et al

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.438441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.104478Z digest=sha256:fe6c59c7b91425f4c9daccb7ed2dd080625618c614e3db2d5d45bc6d91a1e8ee

Observation 6dc0d8ca-7914-4159-a55c-9afb64ce28f9 · outbound

This paper cites Unified Language Model Pre-training for Natural Language Understanding and Generation.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Unified Language Model Pre-training for Natural Language Understanding and Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.108066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.108066Z digest=sha256:5e7447f8b088d324d87c8e81c1cfe2f9607b70a3f05955d0ab50612bb23c718e

Observation 08a4a20f-2203-440d-b37f-ba1c02c4a387 · outbound

This paper cites In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.426248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.112095Z digest=sha256:ae765b9b4e988c2ff9fb6a6f450f182647644eaec6e01072affc0964eb405746

Observation b19c318c-6fbc-4260-ac9b-39c42532520f · outbound

This paper cites In: Interspeech.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Interspeech

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.414398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.115688Z digest=sha256:06b407db23c3c07c906a841d644bd02b14068a95b5621cda0517534e809b959d

Observation f34d0720-8961-46bc-94ec-888164626f3f · outbound

This paper cites Language Modeling with Deep Transformers.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Language Modeling with Deep Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.119274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.119274Z digest=sha256:2fe211a886d5d3c6bb2787c884f86842032ba41da1a036a9b840b0726d3e887e

Observation 64a1a012-abb5-45cb-be6a-091ed0853812 · outbound

This paper cites Towards better decoding and language model integration in sequence to sequence models.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Towards better decoding and language model integration in sequence to sequence models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.123068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.123068Z digest=sha256:f84165454939172c956040be20549cdb6f8319b845dc6501180c52cf8ab0a305

Observation a2263fe6-cf78-4636-9c68-682b8de0c4ec · outbound

This paper cites IEEE Journal of Selected Topics in Signal Processing 11(8), 1240–1253 (2017).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems IEEE Journal of Selected Topics in Signal Processing 11(8), 1240–1253 (2017)

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.401574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.127393Z digest=sha256:cceaf6f6c52cdbc5a72387cb6573170849ab3b6844d3f6a187119a4807f7028d

Observation f948da37-03ba-46cf-ac6a-5896b5c3645d · outbound

This paper cites In: 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2015 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.131111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.131111Z digest=sha256:dcc60a798e122abd3ec8f9c6261bb9a8dca7cf79d1d2d1b4da4fd5762cc28472

Observation cfaac057-c877-4d8b-80d1-470478b73d0b · outbound

This paper cites In: 2023 IEEE Spoken Language Technology Work- shop (SLT).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2023 IEEE Spoken Language Technology Work- shop (SLT)

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.382635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.134729Z digest=sha256:9db04f94f739200caecb06dc33cd6dbf8b1f6dbfc07c6843ebc4f037656ac04a

Observation 184d2090-e867-4e8b-a6cb-11185889ceec · outbound

This paper cites In: Advances in neural information processing systems.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: Advances in neural information processing systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.138455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.138455Z digest=sha256:442ac6aa0e385213e8d5ddfadcc61f07cb38443d4af33590e7cda7e93c1906c9

Observation b3eb259d-a18f-454e-b453-1545d33a0ee5 · outbound

This paper cites Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.142182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.142182Z digest=sha256:5bb8b3927f97c8d534fa7191daaec204f0146804c24c54ae3e566036d15f39b3

Observation 44e64189-05a4-429e-8c42-9316d71128c4 · outbound

This paper cites In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP).

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems In: 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T19:36:57.362686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T19:36:57.146095Z digest=sha256:e852ce035a3fb35e89325bdfd7ef5c73c53dd1aadb777cad12ef296aa9530b72

Observation d588d115-6d6c-4ba8-8e2d-684045880f39 · outbound

This paper cites On Using Monolingual Corpora in Neural Machine Translation.

MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems On Using Monolingual Corpora in Neural Machine Translation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T19:36:57.149986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:36:57.149986Z digest=sha256:217bf42ac3d4dca2a54261251ac38e909555ac626cbb36c398084e2708a02bf0

Pith citing papers

Observation 5a30f61b-95ad-4564-9d71-8722fbc34415 · inbound

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition cites this paper.

ILT-Iterative LoRA Training through Focus-Feedback-Fix for Multilingual Speech Recognition MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:23:32.952358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T18:23:31.587646Z digest=sha256:9d8ec165ae3191df4f1a85fc39b08eb3da797ccb1a52f62a4b1149522bf65e4a