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Paper Citation Record · LEDGER

Total Variation Distance Estimation in Autoregressive Models

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2607.19510.

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

pith.paper-citation-record.v1
2607.19510 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:40:06.491872Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T11:31:09.974861Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

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  • malformed identifier0
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External citation measurements

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Outbound references

Observation 4f91f822-dd69-4537-87a8-7a56baebf260 · outbound

This paper cites A Chasm Between Identity and Equivalence Testing with Conditional Queries.

Total Variation Distance Estimation in Autoregressive Models A Chasm Between Identity and Equivalence Testing with Conditional Queries

Reference 1

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source=pdf_text observed=2026-08-01T12:40:05.045355Z digest=sha256:4410832027e96ba1ece3cbe6b75c89e265199303204e149aed82472eb20d54ab

Observation cee3a52a-1550-4745-bfc5-231cddee2793 · outbound

This paper cites An empirical characterization of outages and incidents in public services for large language models.

Total Variation Distance Estimation in Autoregressive Models An empirical characterization of outages and incidents in public services for large language models

Reference 8

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source=pdf_text observed=2026-08-01T12:40:05.636749Z digest=sha256:3a66363665dc4b3914c1b666be20bd88e992525da613d18946c93462ee760d4f

Observation 15d350c3-7c11-4925-87f5-9e14bec72ff9 · outbound

This paper cites Because oracle noise at this condition is small, a faithful scoring oracle should almost never assign zero mass to a token the engine itself just sampled.

Total Variation Distance Estimation in Autoregressive Models Because oracle noise at this condition is small, a faithful scoring oracle should almost never assign zero mass to a token the engine itself just sampled

Reference 9

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source=pdf_text observed=2026-08-01T12:40:06.427876Z digest=sha256:d1132c037c5dece1b502f24af3757ea662f26a6581da6afafe0a852a9967fa09

Observation e7e9e569-2368-4bef-ae0e-42c37f13c566 · outbound

This paper cites Model changelists: Characterizing updates to ml models.

Total Variation Distance Estimation in Autoregressive Models Model changelists: Characterizing updates to ml models

Reference 10

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source=pdf_text observed=2026-08-01T12:40:05.789890Z digest=sha256:1b1b7396cdb0753bb5603348f0228523d2b2b2b558e9b5fcad6aa2a16f6de6d1

Observation c6e9bebc-fdc3-4d14-a127-777d7d820c31 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Total Variation Distance Estimation in Autoregressive Models GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 11

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source=pdf_text observed=2026-08-01T12:40:05.865933Z digest=sha256:23c71cacd1575c9116be5b21fea30491fae861f195ed0ce35a69ea10a5a42954

Observation 1cd44f4c-e65e-4fcf-bba4-8a0576716fd6 · outbound

This paper cites Defeating nondeterminism in LLM in- ference.Thinking Machines Lab: Connectionism, September 2025.https:// thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/.

Total Variation Distance Estimation in Autoregressive Models Defeating nondeterminism in LLM in- ference.Thinking Machines Lab: Connectionism, September 2025.https:// thinkingmachines.ai/blog/defeating-nondeterminism-in-llm-inference/

Reference 13

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source=pdf_text observed=2026-08-01T12:40:06.058248Z digest=sha256:3384f12b1dbc939d0a18ee9f71c842685d09a09ad04683280971db8d929ec00e

Observation 28df961a-10af-42e1-aa75-904138cbd0f1 · outbound

This paper cites EAGLE-2: faster inference of language models with dynamic draft trees.

Total Variation Distance Estimation in Autoregressive Models EAGLE-2: faster inference of language models with dynamic draft trees

Reference 14

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source=pdf_text observed=2026-08-01T12:40:06.128490Z digest=sha256:3cf7ca21936ada45608382ed7020c07502188ad79fc90acc5872b58aa1a8ce23

Observation 82fba45e-4363-4653-8bf1-04df90258b84 · outbound

This paper cites KIVI: A tuning-free asymmetric 2bit quantiza- tion for KV cache.

Total Variation Distance Estimation in Autoregressive Models KIVI: A tuning-free asymmetric 2bit quantiza- tion for KV cache

Reference 15

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source=pdf_text observed=2026-08-01T12:40:06.193537Z digest=sha256:8f694a5c5928e679727fc44705be96ee2b6a83078fcc3be1ae6334251fd117f6

Observation b624ccd3-f407-4194-82fb-8cab6b714b7a · outbound

This paper cites On Distribution Testing in the Conditional Sampling Model.

Total Variation Distance Estimation in Autoregressive Models On Distribution Testing in the Conditional Sampling Model

Reference 16

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source=pdf_text observed=2026-08-01T12:40:06.295699Z digest=sha256:287201940967decd66a44bdc26aa781ee626c7fae70a87ff804e5af6a44223fa

Observation eacb42de-bd0d-4923-905c-ed915a1a991a · outbound

This paper cites Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test.

Total Variation Distance Estimation in Autoregressive Models Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test

Reference 17

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Observation 1f04f067-dee0-4d48-9333-9fce6eaf3b08 · outbound

This paper cites an unresolved cited work.

Total Variation Distance Estimation in Autoregressive Models Unresolved cited work

Reference 2000

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Observation 1d871d1e-1d80-41c9-bdd2-c4e501af75a1 · outbound

This paper cites Mahoney, Yakun Sophia Shao, Kurt Keutzer, and Amir Gholami.

Total Variation Distance Estimation in Autoregressive Models Mahoney, Yakun Sophia Shao, Kurt Keutzer, and Amir Gholami

Reference 2001

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source=pdf_text observed=2026-08-01T12:40:05.979495Z digest=sha256:af9f4adb44df7f8ef6a23ce02d3bf7f4568ec1989b55521393f2110da370567b

Observation e828b8c3-9a1c-4135-a797-fa2344371d28 · outbound

This paper cites Tight simulation of a distribution using conditional samples.

Total Variation Distance Estimation in Autoregressive Models Tight simulation of a distribution using conditional samples

Reference 2014

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source=pdf_text observed=2026-08-01T12:40:05.145585Z digest=sha256:773b44036df46c434f75106b9f52ec3418a4330bec67d4b55e0a06e2870f6c6a

Observation 8e57c642-752c-4200-83cd-33e6c122f3cb · outbound

This paper cites Are you getting what you pay for? auditing model substitution in llm apis.arXiv preprint arXiv:2504.04715,.

Total Variation Distance Estimation in Autoregressive Models Are you getting what you pay for? auditing model substitution in llm apis.arXiv preprint arXiv:2504.04715,

Reference 2015

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source=pdf_text observed=2026-08-01T12:40:05.583891Z digest=sha256:234dcddc02c87ec4a52ae621cbf1bdc17ef8df588330ffcc2cb438c513ddbf2b

Observation 94589030-b3ea-490d-a505-350968d8b5b8 · outbound

This paper cites A short note on an inequality between KL and TV.

Total Variation Distance Estimation in Autoregressive Models A short note on an inequality between KL and TV

Reference 2020

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source=pdf_text observed=2026-08-01T12:40:05.389477Z digest=sha256:1517b2d2a2761b8c45c4b2f2ce5b792df148001d26b36139422ad5cec8e050b6

Observation 83ebb0f0-a6f8-4853-9b81-f4fd1d9041d2 · outbound

This paper cites Ran- dom restrictions of high dimensional distributions and uniformity testing with subcube conditioning.

Total Variation Distance Estimation in Autoregressive Models Ran- dom restrictions of high dimensional distributions and uniformity testing with subcube conditioning

Reference 2022

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Observation 083bd85b-1451-4e3d-aa13-e6e2e705c9d5 · outbound

This paper cites Accu- racy is not all you need.

Total Variation Distance Estimation in Autoregressive Models Accu- racy is not all you need

Reference 2024

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Observation 1d2afc3b-148e-4026-b217-60e54f14e24c · outbound

This paper cites Improved Bounds for High-Dimensional Equivalence and Product Testing using Subcube Queries.

Total Variation Distance Estimation in Autoregressive Models Improved Bounds for High-Dimensional Equivalence and Product Testing using Subcube Queries

Reference 2025

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Observation 8948bc6b-beee-48af-9c2b-b9b9a830e9ac · outbound

This paper cites [AVC25] Afra Amini, Tim Vieira, and Ryan Cotterell.

Total Variation Distance Estimation in Autoregressive Models [AVC25] Afra Amini, Tim Vieira, and Ryan Cotterell

Reference 2026

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Pith citing papers

Observation 1764e45d-12ce-4b97-a347-4881a3954d8f · inbound

Linear time approximation of the TV distance between product distributions cites this paper.

Linear time approximation of the TV distance between product distributions Total Variation Distance Estimation in Autoregressive Models

Reference 12

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source=arxiv_source observed=2026-07-30T11:31:09.974861Z digest=sha256:3a95f78254add1dc4e10a1b7ce19a18874116b3f409ca5bc441d36c9405cce4e