Paper Citation Record · LEDGER

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2607.10252.

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

pith.paper-citation-record.v1
2607.10252 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:10:47.045131Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:13:15.445455Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

27 of 27 outbound references displayed

verified exact2
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e65015ed-f19f-4ab9-85ee-8f456fd771a1 · outbound

This paper cites Model equality testing: Which model is this API serving?.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Model equality testing: Which model is this API serving?

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cbcecf1-28a6-4cc4-b659-834367c9c6d9 · outbound

This paper cites Are you getting what you pay for? Auditing model substitution in LLM APIs,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Are you getting what you pay for? Auditing model substitution in LLM APIs,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37d0f084-0ec9-4c6c-bca6-31ea7e6220d2 · outbound

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

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c430e6a-0b0e-4473-960b-5763e8bbd892 · outbound

This paper cites A watermark for large language models,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions A watermark for large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb6efc50-464a-48d3-96a2-9b121e5538a2 · outbound

This paper cites Instruc- tional fingerprinting of large language models,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Instruc- tional fingerprinting of large language models,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef9c576-e4f2-45bc-b1ea-4789c2176df2 · outbound

This paper cites FIT-Print: Toward false-claim-resistant model ownership verification via targeted fingerprint,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions FIT-Print: Toward false-claim-resistant model ownership verification via targeted fingerprint,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 704f578a-4801-4540-b650-dec8db5fb0d3 · outbound

This paper cites Authorship attribution for neu- ral text generation,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Authorship attribution for neu- ral text generation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66f2e0d0-ccb6-4149-b73e-045ba01c1688 · outbound

This paper cites Idiosyncrasies in large language models,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Idiosyncrasies in large language models,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bf79b3c-3926-4ce3-9545-6b38096ab434 · outbound

This paper cites LLMmap: Fingerprinting for large language models,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions LLMmap: Fingerprinting for large language models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc3a3762-2d0d-4456-8ddf-37abf629e084 · outbound

This paper cites TRAP: Targeted random adversarial prompt honeypot for black-box identification,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions TRAP: Targeted random adversarial prompt honeypot for black-box identification,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49103068-1f8c-4b7b-8a03-f1861a04d107 · outbound

This paper cites Can LLMs generate random numbers? Evaluating LLM sampling in controlled domains,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Can LLMs generate random numbers? Evaluating LLM sampling in controlled domains,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e160766-a204-4e92-b88a-d49ea938f7e5 · outbound

This paper cites How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions How Random is Random? Evaluating the Randomness and Humaness of LLMs' Coin Flips

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 029349fd-237f-4870-9a9b-497a8689ab5a · outbound

This paper cites A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aa8a969-9b54-4e59-b541-590f6114b703 · outbound

This paper cites Deterministic or probabilistic? The psychology of LLMs as random number generators.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Deterministic or probabilistic? The psychology of LLMs as random number generators

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe9e8201-d52d-40e1-87c5-bc5140b6759b · outbound

This paper cites BOSC: A backdoor-based frame- work for open set synthetic image attribution,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions BOSC: A backdoor-based frame- work for open set synthetic image attribution,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a083ccb-bfd3-4334-96c0-0d0e4a307aef · outbound

This paper cites AdaParse: Personalized fingerprinting for visual generative model reverse engineering,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions AdaParse: Personalized fingerprinting for visual generative model reverse engineering,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f5a093c-0b09-4e35-a556-56f838da534b · outbound

This paper cites A soft-contrastive pseudo learning approach toward open-world forged speech attribution,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions A soft-contrastive pseudo learning approach toward open-world forged speech attribution,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44474aae-e5d5-42b3-8c24-6c546b780907 · outbound

This paper cites BDMMT: Backdoor sample detection for language models through model mutation testing,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions BDMMT: Backdoor sample detection for language models through model mutation testing,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f89406e1-07b0-470f-957f-0062378efc1e · outbound

This paper cites Playing repeated games with large language models,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Playing repeated games with large language models,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation baa289be-dc52-45ad-b2ca-c9722dce2b60 · outbound

This paper cites Picking on the same person: Does algorithmic monoculture lead to outcome homogenization?.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Picking on the same person: Does algorithmic monoculture lead to outcome homogenization?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81af936e-ca32-4fd7-abda-e963734205fd · outbound

This paper cites Algorithmic monoculture and social welfare,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Algorithmic monoculture and social welfare,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c2fbb7-d9f1-48e3-a536-8690cbe1b0f3 · outbound

This paper cites an unresolved cited work.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 780de49f-ac76-47fa-bcc5-76eb8d123488 · outbound

This paper cites The nature of salience: An experimental investigation of pure coordination games,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions The nature of salience: An experimental investigation of pure coordination games,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd30b26c-b274-47bd-86a5-36f1cdbc3118 · outbound

This paper cites Single-token output distributions as behavioral fingerprints of large language models,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Single-token output distributions as behavioral fingerprints of large language models,

Reference 24

Resolution: verified exact; doi, observed 2026-07-14T13:20:31.724339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8cb7bf3-e81a-4d84-99b5-ac261454733b · outbound

This paper cites Single-token output distributions as behavioral fingerprints of large language models — software,.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Single-token output distributions as behavioral fingerprints of large language models — software,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f43c6b5d-e998-4aee-9973-909e4008923d · outbound

This paper cites Available: https://doi.org/10.5281/zenodo.21278793.

One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions Available: https://doi.org/10.5281/zenodo.21278793

Reference 26

Resolution: verified exact; doi, observed 2026-07-14T13:20:31.719810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7c36bab8-f9ef-43b3-bdd4-5ca42a76f86b · outbound

This paper cites Single-token output distributions as behavioral fingerprints of large language models: model verification and tacit coordination.

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-14T13:10:47.045131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ba600d2f-0ab6-4c15-b8be-3acdc30fe7ea · inbound

Which Model Is Actually Serving You? IRIS: Budgeted Black-Box Auditing of Model Substitution and Routing Dilution in LLM Gateways cites this paper.

Which Model Is Actually Serving You? IRIS: Budgeted Black-Box Auditing of Model Substitution and Routing Dilution in LLM Gateways One Token Is Enough: Fingerprinting and Verifying Large Language Models from Single-Token Output Distributions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T09:13:15.445455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.