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Paper Citation Record · LEDGER

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching

As of 24 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2607.12496.

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

pith.paper-citation-record.v1
2607.12496 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:31:33.003648Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:31:31.033651Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b44359b-650a-44a7-aa8e-c4623333ace5 · outbound

This paper cites ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching

Reference 1

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source=pdf_text observed=2026-08-02T06:31:31.033651Z digest=sha256:8139a4182c12cd64069faaa95b33031352ae09b6c6df6eed3cbc0df105ace5e4

Observation ac2d1bfa-43bc-4582-be64-8638c907dcf8 · outbound

This paper cites an unresolved cited work.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-02T06:31:31.126160Z digest=sha256:fe5669bc4f89c3ee781b2d9d94b443e640653aa1b701fcbe0860fea7fe21fe71

Observation dee29230-e029-45ef-93f0-5898fc9706d6 · outbound

This paper cites an unresolved cited work.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-02T06:31:31.205445Z digest=sha256:e87e20a63b19a7d0be3698ac4a48c9b3e169134e9ca28cd8172680ca972cf0af

Observation c506e525-5311-4a26-9e73-07d70490bd3d · outbound

This paper cites an unresolved cited work.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T06:31:31.262885Z digest=sha256:b7887844f1aeafd5a49e470204e536693dc630a7e954637ef4a7052432638c8d

Observation c00cb2cb-2899-4bb8-8ae7-d51fd3b18701 · outbound

This paper cites an unresolved cited work.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T06:31:31.417376Z digest=sha256:51f04579a59690f9d6944b1a3ee386aef99efcb35beb516c8a286872a47f4d4a

Observation 7342a073-6f06-4e35-ba8d-bc4826bcb9a6 · outbound

This paper cites All content and ideas remain the sole original work of the authors.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching All content and ideas remain the sole original work of the authors

Reference 6

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source=pdf_text observed=2026-08-02T06:31:31.478335Z digest=sha256:5a6274ac4e7e08956eb54610c5e2311ecc341f5f75a2e0b82d76dd084053a489

Observation 75c811ce-98de-4778-874f-9a53666aab95 · outbound

This paper cites Flow Matching for Generative Modeling.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Flow Matching for Generative Modeling

Reference 7

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source=pdf_text observed=2026-08-02T06:31:31.943073Z digest=sha256:852cea7e829aeb69d72cfbe3b2717741ff625229e51a542a787b41799243d8ab

Observation 0c278c02-273a-45e2-9763-d087ddf89d68 · outbound

This paper cites VibeVoice Technical Report.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching VibeVoice Technical Report

Reference 8

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source=pdf_text observed=2026-08-02T06:31:31.540846Z digest=sha256:1662cdceefdb6f1d0bacd818fc04789a967d102fe83dbc19d829c33925efb109

Observation 5c8c5536-3544-4e4e-9205-72d53a0d1476 · outbound

This paper cites FireRedTTS-2: Towards Long Conversational Speech Generation for Podcast and Chatbot.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching FireRedTTS-2: Towards Long Conversational Speech Generation for Podcast and Chatbot

Reference 9

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source=pdf_text observed=2026-08-02T06:31:31.608149Z digest=sha256:2975704ad236a1277d11985834cc7201e09517fcc6b3e0c44ca2afd2ef33e7ef

Observation 1d1a8a27-7366-40d0-8c45-0578bc670bf4 · outbound

This paper cites Soulx-podcast: Towards realistic long-form podcasts with dialectal and paralinguistic diversity,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Soulx-podcast: Towards realistic long-form podcasts with dialectal and paralinguistic diversity,

Reference 10

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source=pdf_text observed=2026-08-02T06:31:31.686655Z digest=sha256:7dc3d79da1879e849c24c5532c8d5d3b6286c24964650c81a54ec0d7eeeb7747

Observation 66f918ee-7274-4c0e-808e-fac533288dcd · outbound

This paper cites Covomix: Advancing zero-shot speech generation for human-like multi-talker conversations,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Covomix: Advancing zero-shot speech generation for human-like multi-talker conversations,

Reference 11

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source=pdf_text observed=2026-08-02T06:31:31.745023Z digest=sha256:cab73a47ae084d7fb742200b633c305f8714fabf77a8707912d3f4d711b2d1c0

Observation e32cb0d6-aa58-4240-bd64-3c0f5f47d7cb · outbound

This paper cites Covomix2: Advancing zero-shot dialogue generation with fully non-autoregressive flow matching,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Covomix2: Advancing zero-shot dialogue generation with fully non-autoregressive flow matching,

Reference 12

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source=pdf_text observed=2026-08-02T06:31:31.826301Z digest=sha256:24efa4e73c9a32bb67d27f1f91dce088ae714ff2c060722fb2fa5ac3b069cf1a

Observation 6af71acf-61e7-4e88-ae42-235b41477db4 · outbound

This paper cites ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching

Reference 13

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source=pdf_text observed=2026-08-02T06:31:31.885172Z digest=sha256:34ecf81f0f8c3de074217387998e975f6e3fbf292e5ffccaf6c91880317f4f35

Observation 9bf157a4-da56-47eb-8044-5f27d74a7b81 · outbound

This paper cites LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

Reference 14

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source=pdf_text observed=2026-08-02T06:31:32.503876Z digest=sha256:cab0d73c22161e5c137a319f27111cd4b7b719168f28f346e0780c059e1acb2f

Observation fd20d48b-40d3-4a72-b3e2-40225a513197 · outbound

This paper cites an unresolved cited work.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-02T06:31:31.339222Z digest=sha256:9380b584030cf5dea45ea82b4ff66689519638a821a302fa1b1fedad0213431d

Observation 8c5c93bf-77ea-445b-86f7-772ab934fa26 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching High-resolution image synthesis with latent diffusion models,

Reference 16

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source=pdf_text observed=2026-08-02T06:31:32.012027Z digest=sha256:732cdb4886f6085762afabde8aee40f4b0e9fcc193897f0f426d16fed27147cc

Observation 3cdfa903-1304-42da-a5aa-e457e91466e6 · outbound

This paper cites Flow Matching in Latent Space.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Flow Matching in Latent Space

Reference 17

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source=pdf_text observed=2026-08-02T06:31:32.115781Z digest=sha256:aeac4db2d324af2a5e4653372a70ab11c1208a8488162840db74045541cdf2d9

Observation 574289d6-d6cb-4072-b130-a8d8ef3ac6f5 · outbound

This paper cites M3-tts: Multi-modal dit alignment & mel- latent for zero-shot high-fidelity speech synthesis,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching M3-tts: Multi-modal dit alignment & mel- latent for zero-shot high-fidelity speech synthesis,

Reference 18

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source=pdf_text observed=2026-08-02T06:31:32.174283Z digest=sha256:5a2dd026ad1f87a9caadec6ee4dc6414982fb6c02a8f42a197b74116e5693f55

Observation cf042f65-49d9-4778-b6aa-65d59d4f3b99 · outbound

This paper cites Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

Reference 19

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source=pdf_text observed=2026-08-02T06:31:32.258567Z digest=sha256:5ffb0eac244489a95816bbf9f867ea201fbde30421c3b0fd5c9e27d8c6dc8bb5

Observation 658c9308-2627-4257-b029-05aab51f14e1 · outbound

This paper cites Hifitts-2: A large-scale high bandwidth speech dataset,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Hifitts-2: A large-scale high bandwidth speech dataset,

Reference 20

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source=pdf_text observed=2026-08-02T06:31:32.347498Z digest=sha256:bc3c6a510d44dc229a394e7a086d762cb14746e93036d223463691bab19737ef

Observation 6b6d9623-d8ae-4837-a7f8-7527c182c687 · outbound

This paper cites Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Emilia: An extensive, multilingual, and diverse speech dataset for large-scale speech generation,

Reference 21

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source=pdf_text observed=2026-08-02T06:31:32.421432Z digest=sha256:4241ffe357894334a88bab5e5052159e9e439f7bbe464107f56891626f08c17d

Observation 671ff149-8c3f-4ab2-959e-d29464bbeedc · outbound

This paper cites Dailydialog: A manually labelled multi-turn dialogue dataset,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Dailydialog: A manually labelled multi-turn dialogue dataset,

Reference 22

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source=pdf_text observed=2026-08-02T06:31:32.611137Z digest=sha256:c86fee3d502d27106345f3a80099a489ef757a15755c9695f8bebc4690973e96

Observation 6c9fcfd1-00c4-4e60-b589-4b76b8d2a823 · outbound

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

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Librispeech: An ASR corpus based on public domain audio books,

Reference 23

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source=pdf_text observed=2026-08-02T06:31:32.725582Z digest=sha256:f2a617cf8e567dda50bd850df1d79968ff8da5163b3d38a406ed64add9c95a7c

Observation 3e420059-eb56-4c4d-9baf-80fcbbf95630 · outbound

This paper cites Parakeet: A natural sounding, conversational text-to-speech model,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Parakeet: A natural sounding, conversational text-to-speech model,

Reference 24

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source=pdf_text observed=2026-08-02T06:31:32.767619Z digest=sha256:877e277057c31b58e54963f7449ba7178795bedeeddd4d98c9aedad227cad3f8

Observation d2f9e397-eea2-448e-b9ae-360300f7c535 · outbound

This paper cites Pyannote. audio: neural building blocks for speaker diarization,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Pyannote. audio: neural building blocks for speaker diarization,

Reference 25

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source=pdf_text observed=2026-08-02T06:31:32.786601Z digest=sha256:3b8c75db9a01cee66dc1aff7eff4a23f0b20dba7a9bdb5611ec431e98df13785

Observation 49fa01ee-6167-4c29-8d56-363362b4e08e · outbound

This paper cites Wavlm: Large-scale self-supervised pre-training for full stack speech processing,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Wavlm: Large-scale self-supervised pre-training for full stack speech processing,

Reference 26

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source=pdf_text observed=2026-08-02T06:31:32.812894Z digest=sha256:77e5eb94a03de8381dab8d0dae8e1a4ab79a0c765954f0b57a45409def177f5f

Observation ee51d89b-1cb1-4c35-b1b5-22ab21620389 · outbound

This paper cites ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

Reference 27

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source=pdf_text observed=2026-08-02T06:31:32.844252Z digest=sha256:2befdeb9a6b126816aa1b431525ab026867230af55838bd0ff02b36de93d2a84

Observation 25c909ee-c3a0-4501-a7bc-862969068b6a · outbound

This paper cites UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

Reference 28

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source=pdf_text observed=2026-08-02T06:31:32.877534Z digest=sha256:2e5fc72a34361b7e5d6c9e13c9168ad5ad1f80883784a4dcb6cd50c6bcdbb37b

Observation 1f3615e1-c2cb-4bc6-be74-f605253d9480 · outbound

This paper cites F5-tts: A fairytaler that fakes fluent and faithful speech with flow matching,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching F5-tts: A fairytaler that fakes fluent and faithful speech with flow matching,

Reference 29

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source=pdf_text observed=2026-08-02T06:31:32.918641Z digest=sha256:68a19fda2ca5978d8dc16d3ce3147465b77cdf513887cf536261cd0cc0ea21b1

Observation 237be6e8-9afa-4b52-b1e3-db2c3b2c664a · outbound

This paper cites Librispeech-pc: Benchmark for evaluation of punctuation and capitalization capabilities of end-to-end asr mod- els,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Librispeech-pc: Benchmark for evaluation of punctuation and capitalization capabilities of end-to-end asr mod- els,

Reference 30

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source=pdf_text observed=2026-08-02T06:31:32.968677Z digest=sha256:d5380912156fa975ada18edbd120fce481c6e2dc57703673dfebdb20d5a473c8

Observation 47f06824-a766-4457-aff8-e7e5599f109e · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 31

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source=pdf_text observed=2026-08-02T06:31:33.003648Z digest=sha256:7987623fd9edababcfdf2c14a67b56b583e16afc41c1aee4773508ffb98c7384

Pith citing papers

Observation 7b44359b-650a-44a7-aa8e-c4623333ace5 · inbound

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching cites this paper.

ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching ZipL-Dialog: Memory-Efficient Long-Form Spoken Dialog Synthesis via Latent Flow Matching

Reference 1

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source=pdf_text observed=2026-08-02T06:31:31.033651Z digest=sha256:8139a4182c12cd64069faaa95b33031352ae09b6c6df6eed3cbc0df105ace5e4