Paper Citation Record · LEDGER

NeMo: a toolkit for building AI applications using Neural Modules

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:1909.09577.

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

pith.paper-citation-record.v1
1909.09577 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T09:46:29.046305Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T17:15:09.332377Z

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 1c284017-9be1-4db1-aa96-a17c583a5a8c · inbound

NVILA: Efficient Frontier Visual Language Models cites this paper.

NVILA: Efficient Frontier Visual Language Models NeMo: a toolkit for building AI applications using Neural Modules

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T07:42:43.155511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ecf60473-1c53-48f6-90e4-4aab55acf57f · inbound

Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context cites this paper.

Improving Speech Recognition of Named Entities in Classroom Speech with LLM Revision and Phonetic-Semantic Context NeMo: a toolkit for building AI applications using Neural Modules

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:17:13.841653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce91664c-ed95-4171-b71c-eec430d6f3f8 · inbound

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs cites this paper.

Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs NeMo: a toolkit for building AI applications using Neural Modules

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:51:17.764549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f2ffd675-fd3d-415f-beb2-9fe9ee0d519b · inbound

Real-Time Streamable Generative Speech Restoration with Flow Matching cites this paper.

Real-Time Streamable Generative Speech Restoration with Flow Matching NeMo: a toolkit for building AI applications using Neural Modules

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T20:41:15.396101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 406e503c-86c1-4a25-9012-8c0c122b2b97 · inbound

Detect, Attend and Extract: Keyword Guided Target Speaker Extraction cites this paper.

Detect, Attend and Extract: Keyword Guided Target Speaker Extraction NeMo: a toolkit for building AI applications using Neural Modules

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T03:30:39.524396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aaa8a483-b8e2-4050-a400-70baa4167eaa · inbound

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning cites this paper.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning NeMo: a toolkit for building AI applications using Neural Modules

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:35:18.290334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1fa3c01f-c367-4742-944a-04bd37804433 · inbound

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning cites this paper.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning NeMo: a toolkit for building AI applications using Neural Modules

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:44:07.782876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c8a9e07e-aa04-46ad-9641-b45a196526e6 · inbound

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning cites this paper.

The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning NeMo: a toolkit for building AI applications using Neural Modules

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T22:57:11.059962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42f6a4e4-f7c8-4272-9968-2fb1790cbe1f · inbound

Exploring Speech Foundation Models for Speaker Diarization Across Lifespan cites this paper.

Exploring Speech Foundation Models for Speaker Diarization Across Lifespan NeMo: a toolkit for building AI applications using Neural Modules

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:55:50.467493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 646cc0cf-7f6b-4e97-a406-36c66e6c048b · inbound

Exploring Speech Foundation Models for Speaker Diarization Across Lifespan cites this paper.

Exploring Speech Foundation Models for Speaker Diarization Across Lifespan NeMo: a toolkit for building AI applications using Neural Modules

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T09:19:56.669149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c8db8ab-5f32-473d-92e3-b53606e30c44 · inbound

Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models cites this paper.

Back to the Barn with LLAMAs: Evolving Pretrained LLM Backbones in Finetuning Vision Language Models NeMo: a toolkit for building AI applications using Neural Modules

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:20:59.245563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c9cdb25f-bc72-4dd4-8712-30038034060b · inbound

BUT System Description for CHiME-9 MCoRec Challenge cites this paper.

BUT System Description for CHiME-9 MCoRec Challenge NeMo: a toolkit for building AI applications using Neural Modules

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:36:27.160499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 75a67ae1-f726-4bcb-93bc-55d7f71cf919 · inbound

Mind the Gap: Impact of Synthetic Conversational Data on Multi-Talker ASR and Speaker Diarization cites this paper.

Mind the Gap: Impact of Synthetic Conversational Data on Multi-Talker ASR and Speaker Diarization NeMo: a toolkit for building AI applications using Neural Modules

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T14:42:37.477097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2b722397-02f4-4173-b0d0-119dca987520 · inbound

Cross-Talk Speech Reduction, by Separation, for Separation cites this paper.

Cross-Talk Speech Reduction, by Separation, for Separation NeMo: a toolkit for building AI applications using Neural Modules

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T01:57:57.581602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d3824246-f631-4b8b-8ae7-0b7a68cdaa2e · inbound

Plug-in Losses for Evidential Deep Learning: A Simplified Framework for Uncertainty Estimation that Includes the Softmax Classifier cites this paper.

Plug-in Losses for Evidential Deep Learning: A Simplified Framework for Uncertainty Estimation that Includes the Softmax Classifier NeMo: a toolkit for building AI applications using Neural Modules

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:01:11.617047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 588a03cb-ff98-4e4e-bee6-879b555fd0e6 · inbound

Orbax: Distributed Checkpointing with JAX cites this paper.

Orbax: Distributed Checkpointing with JAX NeMo: a toolkit for building AI applications using Neural Modules

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.744356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c95ee006-ff69-41ab-91db-70be3cc84577 · inbound

Scaling Conversational Hungarian ASR: The BEA-Dialogue+ Corpus cites this paper.

Scaling Conversational Hungarian ASR: The BEA-Dialogue+ Corpus NeMo: a toolkit for building AI applications using Neural Modules

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:16:01.255692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6c98130f-6221-4082-8b27-2a7d45f6a07d · inbound

Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026 cites this paper.

Multilingual Long-Form Speech Instruction Following: KIT's Submission to IWSLT 2026 NeMo: a toolkit for building AI applications using Neural Modules

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:06:48.154690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation add44af9-919d-4d4c-8f59-2c561f5791f4 · inbound

IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems cites this paper.

IRAF: Interference-Resilient Adaptive Fusion for Noise-Robust End-to-End Full-Duplex Spoken Dialogue Systems NeMo: a toolkit for building AI applications using Neural Modules

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T15:37:06.827503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 98f86246-8244-412a-a742-b8304ce128a9 · inbound

Online Dynamic Batching with Formal Guarantees for LLM Training cites this paper.

Online Dynamic Batching with Formal Guarantees for LLM Training NeMo: a toolkit for building AI applications using Neural Modules

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T05:29:35.925000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d68faa8f-8f35-4070-90ce-fdfe39ffd57c · inbound

Audio--Image Alignment as a Continued-Pretraining Stage Improves Low-Resource ASR cites this paper.

Audio--Image Alignment as a Continued-Pretraining Stage Improves Low-Resource ASR NeMo: a toolkit for building AI applications using Neural Modules

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:50:00.973180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ed0ada81-4900-44cd-8a8c-40ab9ffe0652 · inbound

Data Scale, Not Latency, Shapes Cross-Lingual Encoder Transfer in Streaming ASR cites this paper.

Data Scale, Not Latency, Shapes Cross-Lingual Encoder Transfer in Streaming ASR NeMo: a toolkit for building AI applications using Neural Modules

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T16:49:57.382819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 01c9e1f0-c6d9-4b01-b7da-82a5fa8e2019 · inbound

SE-AGCNet: An End-to-End Framework for Joint Speech Enhancement and Loudness Control in Meeting Scenarios cites this paper.

SE-AGCNet: An End-to-End Framework for Joint Speech Enhancement and Loudness Control in Meeting Scenarios NeMo: a toolkit for building AI applications using Neural Modules

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T21:00:09.667871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92553417-e0c4-4886-ad80-48cd2a676c67 · inbound

Flow Matching-Based Speech Source Separation with Best-of-N Biometric Sampling cites this paper.

Flow Matching-Based Speech Source Separation with Best-of-N Biometric Sampling NeMo: a toolkit for building AI applications using Neural Modules

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-08T17:15:09.334491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24d8d089-396c-4214-ba58-c6da8b7cb3f2 · inbound

From a Multilingual Streaming ASR Backbone to Kenyan-Language Systems: Data-Centric Adaptation of Nemotron 3.5 for Kikuyu, Dholuo, and Kalenjin cites this paper.

From a Multilingual Streaming ASR Backbone to Kenyan-Language Systems: Data-Centric Adaptation of Nemotron 3.5 for Kikuyu, Dholuo, and Kalenjin NeMo: a toolkit for building AI applications using Neural Modules

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T14:01:48.127809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbcf3706-031b-41c5-acc8-95d84540d112 · inbound

Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance cites this paper.

Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance NeMo: a toolkit for building AI applications using Neural Modules

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-30T11:46:28.593319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85c60577-ce52-4286-a8e3-93d0cb641682 · inbound

Leveraging Beam Search Information for Confidence Estimation in E2E ASR cites this paper.

Leveraging Beam Search Information for Confidence Estimation in E2E ASR NeMo: a toolkit for building AI applications using Neural Modules

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T09:46:29.046305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.