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Paper Citation Record · LEDGER

Optimized Couplings for Watermarking Large Language Models

As of 21 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2505.08878.

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

pith.paper-citation-record.v1
2505.08878 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:53:01.080614Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved32
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e58fe715-c82c-4751-8e9f-257a20de6b76 · outbound

This paper cites TrustLLM: Trustworthiness in Large Language Models.

Optimized Couplings for Watermarking Large Language Models TrustLLM: Trustworthiness in Large Language Models

Reference 1

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Observation d09d0b8e-9af1-43ad-abc4-f118f6f61cb8 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Optimized Couplings for Watermarking Large Language Models Constitutional AI: Harmlessness from AI Feedback

Reference 2

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Observation 1b472c33-b6bd-4b77-b486-df32f2cff822 · outbound

This paper cites Transformer feed-forward layers are key-value memories.

Optimized Couplings for Watermarking Large Language Models Transformer feed-forward layers are key-value memories

Reference 3

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Observation 1325e01a-314b-42d5-a403-5f534b10fb94 · outbound

This paper cites Truthfulqa: Measuring how models mimic human falsehoods.

Optimized Couplings for Watermarking Large Language Models Truthfulqa: Measuring how models mimic human falsehoods

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.696034Z digest=sha256:134fd526e8de3210e976b50857a752e199d8753874ff32d57057656ac1919773

Observation d21b50da-bb11-4cd0-a89d-1dd851f61919 · outbound

This paper cites A watermark for large language models.

Optimized Couplings for Watermarking Large Language Models A watermark for large language models

Reference 5

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source=pdf_text observed=2026-08-15T21:53:00.702128Z digest=sha256:3497f7a3d6a1533a75d7526d9c372f5ac42ee879ac1e7b3c4bb46373811313a4

Observation 65d948c1-ff1a-4b2f-8982-27811bc71ff9 · outbound

This paper cites Undetectable watermarks for language models.

Optimized Couplings for Watermarking Large Language Models Undetectable watermarks for language models

Reference 6

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Observation a19f4026-a00c-49b4-bf1d-fdcb8a2f310b · outbound

This paper cites Robust Distortion-free Watermarks for Language Models.

Optimized Couplings for Watermarking Large Language Models Robust Distortion-free Watermarks for Language Models

Reference 7

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source=pdf_text observed=2026-08-15T21:53:00.714246Z digest=sha256:8144206f854329794cfed3158adfa59022c09e761ea5d72e557a209e317afca1

Observation e5527189-3c0b-4829-805c-3a804d8957fa · outbound

This paper cites Provable robust watermarking for ai-generated text.

Optimized Couplings for Watermarking Large Language Models Provable robust watermarking for ai-generated text

Reference 8

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raw_fallback, observed 2026-08-15T21:53:02.754772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.721992Z digest=sha256:818accd07c116cd6c481a8b3b0c72ec8b73eada53e5e17c2c0dee88cab9c99c7

Observation 3f524367-4d0a-4201-8708-f114093c4893 · outbound

This paper cites Watermarking of large language models.

Optimized Couplings for Watermarking Large Language Models Watermarking of large language models

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a94004b5-2a28-4923-8f0e-c6415d149999 · outbound

This paper cites Universally optimal watermarking schemes for llms: from theory to practice.

Optimized Couplings for Watermarking Large Language Models Universally optimal watermarking schemes for llms: from theory to practice

Reference 10

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source=pdf_text observed=2026-08-15T21:53:00.732377Z digest=sha256:90c006c75391450339f9364dc0b5dda6193a8d0a8e12c6bf22a98917571528d8

Observation 0a304860-7364-4186-bbfe-50cca54ae19c · outbound

This paper cites A watermark for black-box language models.

Optimized Couplings for Watermarking Large Language Models A watermark for black-box language models

Reference 11

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Observation 085017c5-0332-470e-98bf-60183689c00a · outbound

This paper cites Scalable watermarking for identifying large language model outputs.

Optimized Couplings for Watermarking Large Language Models Scalable watermarking for identifying large language model outputs

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 80bc6ee9-664a-4852-971d-82a6ed23496d · outbound

This paper cites Watermarking Text Generated by Black-Box Language Models.

Optimized Couplings for Watermarking Large Language Models Watermarking Text Generated by Black-Box Language Models

Reference 13

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source=pdf_text observed=2026-08-15T21:53:00.750920Z digest=sha256:ab18129d05f066300492becbfdfd3310e2820c8f1011bb652c0832a9b89ecc8e

Observation e1f02952-3b19-4a0e-ae2b-84f03b64b333 · outbound

This paper cites Subtle signatures, strong shields: Advancing robust and imper- ceptible watermarking in large language models.

Optimized Couplings for Watermarking Large Language Models Subtle signatures, strong shields: Advancing robust and imper- ceptible watermarking in large language models

Reference 14

Resolution
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raw_fallback, observed 2026-08-15T21:53:02.660901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3f5e4cb1-0699-4280-8555-004358686d06 · outbound

This paper cites Unbiased watermark for large language models.

Optimized Couplings for Watermarking Large Language Models Unbiased watermark for large language models

Reference 15

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source=pdf_text observed=2026-08-15T21:53:00.766407Z digest=sha256:f122a6a7928c7baefda0a354380475e0ed892053d0ec010367d785deeec4496c

Observation c264c024-2643-4cfc-8d80-a48f84fd2e13 · outbound

This paper cites Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs.

Optimized Couplings for Watermarking Large Language Models Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 16

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source=pdf_text observed=2026-08-15T21:53:00.772465Z digest=sha256:a036da7ba1475d50742633403f253c0a8baa70100d765cc4e022ed9e8a6b4599

Observation e086c932-c0a0-4936-bbd7-7c5b92a48123 · outbound

This paper cites Watermarking Language Models with Error Correcting Codes.

Optimized Couplings for Watermarking Large Language Models Watermarking Language Models with Error Correcting Codes

Reference 17

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source=pdf_text observed=2026-08-15T21:53:00.777877Z digest=sha256:fb0f8f053ba2563e2fb7663414c06492ccf0dece70b7c33cde7e09dace03a559

Observation f60daae3-1f91-4a74-b6ad-f8678e4fac0d · outbound

This paper cites Provably Robust Multi-bit Watermarking for AI-generated Text.

Optimized Couplings for Watermarking Large Language Models Provably Robust Multi-bit Watermarking for AI-generated Text

Reference 18

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Observation f29a7fba-deb3-4dc1-95b9-ebf96322fe53 · outbound

This paper cites Debiasing Watermarks for Large Language Models via Maximal Coupling.

Optimized Couplings for Watermarking Large Language Models Debiasing Watermarks for Large Language Models via Maximal Coupling

Reference 19

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Observation 3ba47ed3-5e5c-413e-98f5-b541ce5961d5 · outbound

This paper cites Adaptive text watermark for large language models.

Optimized Couplings for Watermarking Large Language Models Adaptive text watermark for large language models

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 7f2fb574-dbeb-4a4d-a60c-8b812e5714ad · outbound

This paper cites Three bricks to consolidate watermarks for large language models.

Optimized Couplings for Watermarking Large Language Models Three bricks to consolidate watermarks for large language models

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 86080f9d-a614-4230-be50-9a6e01bc2a05 · outbound

This paper cites Coding for channels with random parameters.

Optimized Couplings for Watermarking Large Language Models Coding for channels with random parameters

Reference 22

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b43ab1d9-62cc-4bfd-aaef-f2fd36d9f7ac · outbound

This paper cites An informationtheoretical approach to information embedding.

Optimized Couplings for Watermarking Large Language Models An informationtheoretical approach to information embedding

Reference 23

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3b06d491-7164-4d72-b2e0-5d391c10c0e5 · outbound

This paper cites Design and analysis of digital watermarking, information embedding, and data hiding systems.

Optimized Couplings for Watermarking Large Language Models Design and analysis of digital watermarking, information embedding, and data hiding systems

Reference 24

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a8e5dab4-f736-44b9-904c-384d9a0cfc71 · outbound

This paper cites Information-theoretic analysis of information hiding.

Optimized Couplings for Watermarking Large Language Models Information-theoretic analysis of information hiding

Reference 25

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Observation d1d3c052-a210-4249-9d4e-07f60440eacd · outbound

This paper cites Authentication with distortion criteria.

Optimized Couplings for Watermarking Large Language Models Authentication with distortion criteria

Reference 26

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Observation 560de4cf-f343-4952-bfd7-95912c8863e6 · outbound

This paper cites Text data-hiding for digital and printed documents: Theoretical and practical considerations.

Optimized Couplings for Watermarking Large Language Models Text data-hiding for digital and printed documents: Theoretical and practical considerations

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.853212Z digest=sha256:067d7687263aacf1eb5831a0ca85956c6f9e9625576bc8d22ca15c43f1cc280e

Observation 0d1244ab-71d7-4f4d-bdad-ad2d43ec112b · outbound

This paper cites Rethinking lossy compression: The rate-distortion-perception tradeoff.

Optimized Couplings for Watermarking Large Language Models Rethinking lossy compression: The rate-distortion-perception tradeoff

Reference 28

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Observation 32642a57-9057-4155-8c55-26bc93858d10 · outbound

This paper cites A coding theorem for the rate-distortion-perception function.

Optimized Couplings for Watermarking Large Language Models A coding theorem for the rate-distortion-perception function

Reference 29

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Observation 31f98c93-3190-4e97-b7b6-21cc78105f50 · outbound

This paper cites On the rate-distortion-perception function.

Optimized Couplings for Watermarking Large Language Models On the rate-distortion-perception function

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.402787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6b1c9ace-88ac-4aca-95ed-65da289e59ab · outbound

This paper cites Information theory: From coding to learning.

Optimized Couplings for Watermarking Large Language Models Information theory: From coding to learning

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.382784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 0a446152-c19a-4dea-af0c-d4a4b18f8e4b · outbound

This paper cites WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models.

Optimized Couplings for Watermarking Large Language Models WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models

Reference 32

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source=pdf_text observed=2026-08-15T21:53:00.888447Z digest=sha256:289b4fdb9cc868a0d6125d2cfea7263a6bc7825c63832e7d4794c4b80e60f3a4

Observation a3d6164c-074a-49c5-bc75-0b0915443dc2 · outbound

This paper cites Towards Optimal Statistical Watermarking.

Optimized Couplings for Watermarking Large Language Models Towards Optimal Statistical Watermarking

Reference 33

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source=pdf_text observed=2026-08-15T21:53:00.895566Z digest=sha256:0d965e18d907801079b563454c6cb5488d3ef0e7f9ec4cec0080bd2670fdb525

Observation 5cb51fae-15b6-4ab1-a37c-46317f67da05 · outbound

This paper cites SoK: Watermarking for AI-Generated Content.

Optimized Couplings for Watermarking Large Language Models SoK: Watermarking for AI-Generated Content

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.903122Z digest=sha256:86ae0f9fd0b2dc92222f4acf1fa5641ca4f7ded97e51f596d9cd1f9d7967856a

Observation dfa80603-cf4f-488f-ba6c-ff6fa52111fe · outbound

This paper cites Testing statistical hypotheses, volume 3.

Optimized Couplings for Watermarking Large Language Models Testing statistical hypotheses, volume 3

Reference 35

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source=pdf_text observed=2026-08-15T21:53:00.910111Z digest=sha256:6cd61dc79475d91e017cce597cfcdbdb055efcd3a2adaf025298717b829e631b

Observation 111c64b6-15fa-4209-a122-bccbd7460762 · outbound

This paper cites Channel coding: Non-asymptotic fundamental limits.

Optimized Couplings for Watermarking Large Language Models Channel coding: Non-asymptotic fundamental limits

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.337874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.916305Z digest=sha256:6aa875ab5b655adbb0a01922cc5c3d5ed8b5806e47d3659ce1481dda080e9883

Observation 8793b673-4101-49c8-af29-b70f85be8f9a · outbound

This paper cites Channel coding rate in the finite blocklength regime.IEEE Transactions on Information Theory, 56(5):2307–2359, 2010.

Optimized Couplings for Watermarking Large Language Models Channel coding rate in the finite blocklength regime.IEEE Transactions on Information Theory, 56(5):2307–2359, 2010

Reference 37

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raw_fallback, observed 2026-08-15T21:53:02.290384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.925398Z digest=sha256:598516837a80417a07a1c6460c1f282aab30e45744b8cf03908266a8b9b6347f

Observation ed3f2203-96f1-4237-8816-483084164120 · outbound

This paper cites IEEE Transactions on Information Theory, 63(5):2629– 2658, 2016.

Optimized Couplings for Watermarking Large Language Models IEEE Transactions on Information Theory, 63(5):2629– 2658, 2016

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.264915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.932363Z digest=sha256:143812d9b265e50e9cee23aef76e56cb9744a5200162a81b68cc811ae47b06f8

Observation 2d153251-88bd-4445-90df-355b57c1758a · outbound

This paper cites Contraction of $E_\gamma$-Divergence and Its Applications to Privacy.

Optimized Couplings for Watermarking Large Language Models Contraction of $E_\gamma$-Divergence and Its Applications to Privacy

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:00.938381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.938381Z digest=sha256:ea86bfc4744cf6105736b0306031db30cc19bcf0a8630c4c29432a48ed75c64c

Observation 56116907-ac85-42ec-a169-4dc0c5bdd8f8 · outbound

This paper cites Information Theory: From Coding to Learning.

Optimized Couplings for Watermarking Large Language Models Information Theory: From Coding to Learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.245004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.947033Z digest=sha256:52e881676f429e50948af6ba70b0b2c3aed10e407b6ccee736da87fcb7240759

Observation 4bb6e378-0f09-4b0f-ab5d-fa2d10ad9578 · outbound

This paper cites Elements of Information Theory.

Optimized Couplings for Watermarking Large Language Models Elements of Information Theory

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.224367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.952732Z digest=sha256:e2d2cb9faaa5e6f7cf20d8aee56a92574d81ae0b5ca8d5571ff4fdfa79e87efd

Observation cb2d6922-5b5c-4692-bce6-533b9da70e35 · outbound

This paper cites Finite exchangeable sequences.

Optimized Couplings for Watermarking Large Language Models Finite exchangeable sequences

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.196747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:00.959555Z digest=sha256:13cdd6510b88dd9a94e902017df3472a0237b2ccebe71c7df6f447c33e316743

Observation 883d1fac-13aa-43cc-8408-0a5169182f51 · outbound

This paper cites The Llama 3 Herd of Models.

Optimized Couplings for Watermarking Large Language Models The Llama 3 Herd of Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:00.967465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.967465Z digest=sha256:d6434ab903e53b05f435e1d152305cf7b392c9303fa7b9fe78cb6666fdac1887

Observation 9e428152-289a-4b7a-ae81-6e2de8aaf650 · outbound

This paper cites Gurobi Optimizer Reference Manual, 2024.

Optimized Couplings for Watermarking Large Language Models Gurobi Optimizer Reference Manual, 2024

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:00.976506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.976506Z digest=sha256:2523407c96a0940dcf78c84d9d783347ffec91639cdecf2acc2a53f0b98dc728

Observation e4ee5d98-a729-4697-93f0-2406180b47db · outbound

This paper cites On the Reliability of Watermarks for Large Language Models.

Optimized Couplings for Watermarking Large Language Models On the Reliability of Watermarks for Large Language Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:00.982740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.982740Z digest=sha256:28447f4eef152668dd985f789b62ae178a58b79660f0269dc86d28db2911f3b3

Observation 5e80dd59-7647-4aa4-98a8-00b47a7c43ec · outbound

This paper cites A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules.

Optimized Couplings for Watermarking Large Language Models A Statistical Framework of Watermarks for Large Language Models: Pivot, Detection Efficiency and Optimal Rules

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:00.988490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.988490Z digest=sha256:0c6bf8e0c1e7ccfe35d3d66e441cc9fcd54e43f83341f1819347db78a780299f

Observation bdfddf46-f8db-4177-a350-80acbb04cba0 · outbound

This paper cites Mark My Words: Analyzing and Evaluating Language Model Watermarks.

Optimized Couplings for Watermarking Large Language Models Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:00.995912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:00.995912Z digest=sha256:ba506e9df7f6c4127317d6bfb0e3497ab6fd56f5310c9e6526995b3abc9b24a0

Observation a22b0490-917b-4357-b181-286570578728 · outbound

This paper cites MarkLLM: An Open-Source Toolkit for LLM Watermarking.

Optimized Couplings for Watermarking Large Language Models MarkLLM: An Open-Source Toolkit for LLM Watermarking

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T21:53:01.003367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:53:01.003367Z digest=sha256:0fb4dea07c00849bb6e0b6fed74b00d22b2a57da082ea2871cb533b9c7136d72

Observation cc2e3fd3-7606-4206-96e4-aa284447319e · outbound

This paper cites Evaluating durability: Benchmark insights into image and text watermarking.

Optimized Couplings for Watermarking Large Language Models Evaluating durability: Benchmark insights into image and text watermarking

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.162178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.015628Z digest=sha256:be9d68b8b1495c39a9c8a37779915624fd449e353863ccf096355d1231534e12

Observation 81e66a47-2ed8-4445-8a19-828a81513073 · outbound

This paper cites A survey of text watermarking in the era of large language models.

Optimized Couplings for Watermarking Large Language Models A survey of text watermarking in the era of large language models

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.142744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.022517Z digest=sha256:7de96955a927eb78c39cddd4ad7c9e0e772aa0e0385f065bd0ec07630cce3f64

Observation 9208eeb3-462e-4f86-a2b9-0e380604412b · outbound

This paper cites In this case, there is at least one possible value for eachqj that results in a nonnegative value off(qj).

Optimized Couplings for Watermarking Large Language Models In this case, there is at least one possible value for eachqj that results in a nonnegative value off(qj)

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.123050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.031034Z digest=sha256:dd045195d8981e40ea042271b773ea77d60f58a81fa6e34549a2752aeb27af8c

Observation f995ed72-c76a-4f93-8b67-3d71e8e2eb1b · outbound

This paper cites an unresolved cited work.

Optimized Couplings for Watermarking Large Language Models Unresolved cited work

Reference 52

Resolution
parse uncertain
raw_fallback, observed 2026-08-15T21:53:02.093610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.042216Z digest=sha256:bd32167420c3f62ee03d9846c40f66257eada0f88eec02ace7e8be918cf38262

Observation 54a8be71-ab86-4ab3-8795-052f351aa274 · outbound

This paper cites an unresolved cited work.

Optimized Couplings for Watermarking Large Language Models Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:53:02.070915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.048054Z digest=sha256:d84704a01f775197ec4abb6a7673f6603810c6139dd27eddca83b1b9d4c0c2c9

Observation d37736e7-a022-4f86-9db1-26ed0d26d627 · outbound

This paper cites To show that this is a valid coupling, we verify the marginal distribution is kept the same.

Optimized Couplings for Watermarking Large Language Models To show that this is a valid coupling, we verify the marginal distribution is kept the same

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.043120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.054301Z digest=sha256:4f49148e5488c7483f1df02c4b3bb41877195341a4342d61448c30eac46c4262

Observation 2f85ad06-c731-43ec-b5e6-d2a1214e6e99 · outbound

This paper cites Hence,H0 is rejected by CC detection test.

Optimized Couplings for Watermarking Large Language Models Hence,H0 is rejected by CC detection test

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:02.023209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.061117Z digest=sha256:109b0100969fa44369af4987b37002a33a16b12b33f97d09514978f5f89651f2

Observation efef306f-41a2-4e0b-8352-fbc4e3824eda · outbound

This paper cites an unresolved cited work.

Optimized Couplings for Watermarking Large Language Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:53:01.996643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.067629Z digest=sha256:d79c6d879dbe56ec2a1253d7085c0e79e9f392f423a223f7db77e29218fb478a

Observation e18c0a73-8b17-4458-b3c4-7ccc11608fb1 · outbound

This paper cites an unresolved cited work.

Optimized Couplings for Watermarking Large Language Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:53:01.975726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.074780Z digest=sha256:13fae043fc829ff302b710cdc90e235727e2c5e38173ac289cf7f68e85a172f6

Observation 2920c7cf-14a4-4de8-b8f1-f52bf745da44 · outbound

This paper cites 1− s PS|Y (s|Y (X,bm)) P (s) # , whereP (S|Y ) is the correlated channel. AssumingS∼ Ber 1 2 , we have H2 PQ,P eQ = 2ES,X.

Optimized Couplings for Watermarking Large Language Models 1− s PS|Y (s|Y (X,bm)) P (s) # , whereP (S|Y ) is the correlated channel. AssumingS∼ Ber 1 2 , we have H2 PQ,P eQ = 2ES,X

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:53:01.954745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:53:01.080614Z digest=sha256:83a27502d23766218f5f43ce3a9d72cfa8c23b9f14eabaaf160895893b74fb69

Pith citing papers

No inbound Pith citation observations are available.