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Paper Citation Record · LEDGER

DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.03506.

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

pith.paper-citation-record.v1
2401.03506 v11

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:15:57.190957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:06:24.509044Z

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 73efeffc-7156-45ca-8d4a-2e709e6dbf62 · inbound

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation cites this paper.

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-22T17:05:00.335559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T17:04:00.508789Z digest=sha256:94d28ed537fccc0024ab9de1555c05707a3ef452f79233f935b7a7934251b61c

Observation a53b12da-abca-4030-807c-aecd224d6911 · inbound

Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models cites this paper.

Do We Still Need Audio? Rethinking Speaker Diarization with a Text-Based Approach Using Multiple Prediction Models DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:15:57.190957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:15:57.190957Z digest=sha256:19dfaa5cccf34d676d4aa482de3981297c2a8b1ed98d2f4593ed866053f09322

Observation 5ba36f91-7c00-45e0-8d8b-5dd98e62360c · inbound

Thinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition cites this paper.

Thinking in Directivity: Speech Large Language Model for Multi-Talker Directional Speech Recognition DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:33.511719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:33.511719Z digest=sha256:b0a684be9ec49051f8f47fb8fd3f83699046b5e682ecf7a15b754359c4fd536f

Observation 68bd7593-cfac-44d8-9d79-ee967afdab70 · inbound

DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models cites this paper.

DM-ASR: Diarization-aware Multi-speaker ASR with Large Language Models DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:12.642519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T09:18:53.285951Z digest=sha256:f371809b742aa49d86219542edb76ce3ef3839891ffb00452b8e1316214640c7

Observation 7ab4a100-6b15-4f57-a19c-d30462e1d0cc · inbound

SoulX-Transcriber: A Robust End-to-End Framework for Multi-Speaker Speech Transcription cites this paper.

SoulX-Transcriber: A Robust End-to-End Framework for Multi-Speaker Speech Transcription DiarizationLM: Speaker Diarization Post-Processing with Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:06:24.510557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T12:37:52.271987Z digest=sha256:e064629d956d80a20878adc32c2fc5e93ee81b41a0c960ca5acc9020d0345bc1