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Paper Citation Record · LEDGER

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

As of 17 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 5 inbound Pith citation observations for arXiv:2504.17309.

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

pith.paper-citation-record.v1
2504.17309 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:46:38.328681Z

measured 59 of 59 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T13:13:38.258113Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:53:59.625802Z

Reference resolution

54 of 54 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 913cc6c6-f522-43cd-8a94-d21f7d173c65 · outbound

This paper cites Watermarking gpt outputs, 2023.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Watermarking gpt outputs, 2023

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.186879Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.050780Z digest=sha256:54ec3f34a8d4b998a0f89ed4cd019adcebea74e710c4a48095a91166ae89f2b7

Observation e6d7a221-3d6f-48b8-89e3-f5066f5ad936 · outbound

This paper cites Llama 3 model card.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Llama 3 model card

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.056282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.056282Z digest=sha256:61251ec25a4db03e39927fc0c188505b97e638b974c76e8c642edfff43b51dc2

Observation 0e203641-7981-463f-8acf-4f3f487d282c · outbound

This paper cites Natural language watermarking: Design, analysis, and a proof-of-concept implementation.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Natural language watermarking: Design, analysis, and a proof-of-concept implementation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.061185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.061185Z digest=sha256:1d16c450438aad0cd9fd8581ce2375ec5364c45475a65ab7934294da5cbc9f45

Observation fec64e56-3c5d-4fdc-9a91-6b8761b59ef7 · outbound

This paper cites Fcm: The fuzzy c-means clustering algorithm.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Fcm: The fuzzy c-means clustering algorithm

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.149135Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.066698Z digest=sha256:acb6566bf21a29765662d7ba58c61056ff1a97c8a457c16e11b18a680d236a23

Observation d6740e87-76ee-4a1e-990b-5b606cba37f7 · outbound

This paper cites PostMark: A Robust Blackbox Watermark for Large Language Models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality PostMark: A Robust Blackbox Watermark for Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.071385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.071385Z digest=sha256:53ac89e29ff22faec84ab70cd7a00ef715bcfebb1717e8db5ad73e5c0bbf8ed5

Observation aa8a1960-cb0f-4a3d-bec8-88f944bea00c · outbound

This paper cites Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.076791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.076791Z digest=sha256:656d28dc157b2a0551c0e7f39545ae8ef695c02931d27381d8143794d97deb39

Observation 5836df7b-9108-4a2a-bcd7-66b68d3ed407 · outbound

This paper cites Watme: Towards lossless watermarking through lexical redundancy.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Watme: Towards lossless watermarking through lexical redundancy

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.132084Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.082748Z digest=sha256:6463419e7311484c5c4fda015d02ddb996f14661f04bb0476b69a134d5076245

Observation 0441f27a-3673-4105-8c8d-1e0ade3e4420 · outbound

This paper cites Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical Study

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.087791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.087791Z digest=sha256:9d7420c02131e2570fb035e3c335b489801ad376534011519398b533627cd9ae

Observation 02eea5fc-bbb7-4cd5-87c0-f54161d966ed · outbound

This paper cites Undetectable watermarks for language models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Undetectable watermarks for language models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.094092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.094092Z digest=sha256:32d5eea3e236bec5f82ccbed47775d2137600ea92ffc24d79e4601d64cc3b8ad

Observation 488d4727-b216-4bad-855b-bd85de2dd026 · outbound

This paper cites Fuzzy c-means clustering with spatial information for image segmentation.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Fuzzy c-means clustering with spatial information for image segmentation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.103400Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.098853Z digest=sha256:9d880383fc5c9c25211dbdc36e9adaddb223ec877a52a011a7fdfb601c67719e

Observation b4a0ee2e-11d3-4d19-b931-bb4b9a5da443 · outbound

This paper cites A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality A fuzzy relative of the isodata process and its use in detecting compact well-separated clusters

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.103340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.103340Z digest=sha256:725710562655cc3df07be931664ce3a1819410fa8f3182e7a8381036f588bd0a

Observation f8609202-db29-4409-8249-1de2ff36acde · outbound

This paper cites The role of coherence and cohesion in text comprehension: an event-related fmri study.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality The role of coherence and cohesion in text comprehension: an event-related fmri study

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.075899Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.108190Z digest=sha256:dc4886016af64d2266a8c0acf5e4e05856cf884a29014496119dc42340dfc9c3

Observation 619cca40-119d-41d7-bc45-10655c38c0ac · outbound

This paper cites WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.112629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.112629Z digest=sha256:3f3fab298e029e5020d302f7d34afe46e70522e0f00da36cb0d45dd370ccfd19

Observation aac65850-ca4b-484b-a71c-f384c3c55db3 · outbound

This paper cites Cohesion in english.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Cohesion in english

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.059376Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.117723Z digest=sha256:0b46eede6d08f1048bb627ded4d1c0e38d9f5e710e14ebc1264f82f8d8152293

Observation 3cb61863-dab7-4b2f-8aae-1b0fd85e914d · outbound

This paper cites Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:46:38.753390Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.122584Z digest=sha256:19ba28a4b2c84ca2fac47235297c1af9c27d7b17b78bbee315a5b290e1f98b2f

Observation 8cf2d88e-ee45-476b-8c6e-913dee54e1c4 · outbound

This paper cites SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.128549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.128549Z digest=sha256:69dfb782110334360ec51ecc66ee9ccec5953ebfc46f37cf31aee4f4fd07174c

Observation 5f8a78cf-54b5-4cc8-a862-9afb37af7910 · outbound

This paper cites k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.134468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.134468Z digest=sha256:1afcb6c1484f5705fcc73fe908c25bd37b428f09472c4405a49d8e353fdde17c

Observation 2ec5b1b2-9540-4830-ba82-179ced6fa5b9 · outbound

This paper cites Unbiased Watermark for Large Language Models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Unbiased Watermark for Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.139641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.139641Z digest=sha256:952cfef731accd8e9ab9c8aaf5c3e1697809032d30303e06ff152bfb6ebdad68

Observation df1cb5da-6045-49c0-a945-340982699fa8 · outbound

This paper cites Mistral 7B.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Mistral 7B

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.145185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.145185Z digest=sha256:73b52ccc65cc94f31b7611da8b1d70d2cc50b0b6507a3750e61bdc13b5d75c1d

Observation 0d0b6c0a-9906-42f2-b6c3-6f48ce77bfd1 · outbound

This paper cites A watermark for large language models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality A watermark for large language models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.150026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.150026Z digest=sha256:a51f44d0523ea90da742a9c9ec311c188ffe37464c918abf38fe405189001267

Observation 6fa203c7-bbc2-4b7d-b03e-7aa6e01fa022 · outbound

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

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality On the Reliability of Watermarks for Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.154676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.154676Z digest=sha256:44efa5ae79b14db578030bc6701d475b0db18d2e080d909bedf1a37acc2506c8

Observation 29e6f8bc-ae53-4fe1-844d-3706fe68912b · outbound

This paper cites Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Paraphrasing evades detectors of ai-generated text, but retrieval is an effective defense

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.031956Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.159569Z digest=sha256:3b469272df63fbd6e8f0bb0570f7e24efdd8dac1987bfbfc5564e75d3ba134dc

Observation cc11caae-7ecf-4612-ba5b-579cf515fd26 · outbound

This paper cites BookSum: A Collection of Datasets for Long-form Narrative Summarization.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality BookSum: A Collection of Datasets for Long-form Narrative Summarization

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.164107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.164107Z digest=sha256:1f8ffca88b1f050c27554c59ef2fa7b439e4584210bf086303797255466af8f0

Observation 3c73bd26-6dab-4f8a-b5d6-27fc757ce968 · outbound

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

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Robust Distortion-free Watermarks for Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.169315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.169315Z digest=sha256:f1e7ed1e55f28e9430c90a263b0b5133148aa887b95b0ae3ffe6859ea12998d1

Observation 1d49029f-f6b0-4639-bf19-ca2be3310c2c · outbound

This paper cites An Entropy-based Text Watermarking Detection Method.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality An Entropy-based Text Watermarking Detection Method

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.174098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.174098Z digest=sha256:97a942c4190f0c2e6ded359411cca743007d2123e7faaf08297b652d6eb4413d

Observation 9ffb915d-f0b5-4038-9454-b92e6873244b · outbound

This paper cites LongWanjuan: Towards Systematic Measurement for Long Text Quality.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality LongWanjuan: Towards Systematic Measurement for Long Text Quality

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:46:38.600824Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.179416Z digest=sha256:a787009c9a79ee08731bd4502c49f98bc1cc1d726e5c49a378738964b150f601

Observation 9562760a-51da-4277-94d5-9c2e773801c3 · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.184622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.184622Z digest=sha256:00d50bba943f4818ad8fd3a19b489ce98edbc9fd50e4b1f8f57fa59997a13ed7

Observation 74f5efa2-069b-419f-aec6-6f1595cd6f7c · outbound

This paper cites The threat of offensive ai to organizations.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality The threat of offensive ai to organizations

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.190093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.190093Z digest=sha256:9c60fd7436dd284400e2863fcf0b33ddcd854fb8bf572994f00209dd87835475

Observation 7ba8d650-5323-43b6-af2f-dafaf2410e0a · outbound

This paper cites Digital medical image segmentation using fuzzy c-means clustering.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Digital medical image segmentation using fuzzy c-means clustering

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:39.005133Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.195075Z digest=sha256:66502058b396ff078a309cedfe4aa77d81c774c96cae775d675d2fae398662ab

Observation cdd7e3f2-0d0d-479e-abfa-a5712da241a6 · outbound

This paper cites WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.200532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.200532Z digest=sha256:70bf0e7c5fdbcb109b42917efc7f8f0460485326a34aab12b124020a6c6883f0

Observation 940ac4ff-237e-46a0-a20a-48373816bc7f · outbound

This paper cites DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality DeepTextMark: A Deep Learning-Driven Text Watermarking Approach for Identifying Large Language Model Generated Text

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.205826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.205826Z digest=sha256:09c13c748e470dcc673ada018fb8481bd697f24e2d017f3c194a64b935568d1c

Observation 84da47b1-4c52-49d0-aa49-bca7b6aea6b6 · outbound

This paper cites GPT-4 Technical Report.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality GPT-4 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.210771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.210771Z digest=sha256:3f9c880dc2e6d52fbe58543c5f2a9053bfcbcc0c751dd2929a86b032c2b5dba9

Observation f5066d89-554b-45cc-b40c-ee991ffd4abd · outbound

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

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality MarkLLM: An Open-Source Toolkit for LLM Watermarking

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.215819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.215819Z digest=sha256:703f4479491ce6beb4df48540ea6a06e0e4e07db84f815d809e5f3da2f56a27c

Observation 8e515477-e42f-480c-b19a-86a5a7735ad1 · outbound

This paper cites Advanced image segmentation for precision agriculture using cnn-gat fusion and fuzzy c-means clustering.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Advanced image segmentation for precision agriculture using cnn-gat fusion and fuzzy c-means clustering

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.988929Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.221662Z digest=sha256:815c4e3a7c44f36c078c25e3b6ca93f5249424b9dba0c392605d38673afd3ab2

Observation 899707d9-3f5c-49f0-938d-5a36ee98d79f · outbound

This paper cites Natural language watermarking via paraphraser-based lexical substitution.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Natural language watermarking via paraphraser-based lexical substitution

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.972605Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.226526Z digest=sha256:2f61f5fb3900b88aff1fbeca5bd9c19197d935bb7908c2af344e18db2b58707c

Observation d07c206f-b126-41de-bae1-fdf80910ccd0 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.232890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.232890Z digest=sha256:c874e6e589f18c125b612a8be7d2f0f0bdc19c4edbb355d6fe46c99555ce0886

Observation 44c7bdda-d862-4beb-befc-8de535353b38 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.237965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.237965Z digest=sha256:ed1fef8321a544a8b33a21ea3c5dc7b77626dcad1a4b17ce5754c1e6d6383ab2

Observation 566ab40b-c8a5-4d2a-a8dd-4407ca086a81 · outbound

This paper cites Clustering sentence-level text using a novel fuzzy relational clustering algorithm.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Clustering sentence-level text using a novel fuzzy relational clustering algorithm

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.944945Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.244206Z digest=sha256:16ff97c04a5e185fedc1b7a2b7a29878e909d773ea7d67d37244de533eae297a

Observation 8320d5c6-240b-46df-ba3f-cdbecea610db · outbound

This paper cites Words are not enough: sentence level natural language watermarking.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Words are not enough: sentence level natural language watermarking

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.929268Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.249559Z digest=sha256:5c469466bb1c7dcaf18d589580f1a4728fe349ed58143e429367b8c7257eb749

Observation 30a10c64-4218-4f82-bcd3-36c105c731d3 · outbound

This paper cites The hiding virtues of ambiguity: quantifiably resilient watermarking of natural language text through synonym substitutions.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality The hiding virtues of ambiguity: quantifiably resilient watermarking of natural language text through synonym substitutions

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.913582Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.254240Z digest=sha256:985fa24d3e62b33101d1c313d9ab293df84707e3935106d3c6c2b005ca1d271c

Observation 222d6435-2949-42af-ae9d-5f840511d37d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.259102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.259102Z digest=sha256:fa838097751a4d4b7023afef22e65e09d660c750c816849c120e89ba40d973a6

Observation 0a9b902e-bb6d-41c9-ac11-49ecd2d7984d · outbound

This paper cites The importance of accurate cohesion and coherence in the text.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality The importance of accurate cohesion and coherence in the text

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.898109Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.264341Z digest=sha256:6917292a24fbbda7914a615a4d9c6ede23a17dcc37de7a5b9895bddb08fb901f

Observation 9e86564f-cb9c-43ca-b4c4-11736a0f2ab4 · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.269061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.269061Z digest=sha256:322725143b358b19245d03283e243d06776b715d39a1fe4efed3146ffede0f2a

Observation 9ff4622a-40f9-4999-a29c-c8970521e09d · outbound

This paper cites Qwen2 Technical Report.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Qwen2 Technical Report

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.274259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.274259Z digest=sha256:306b867dabd5e4f9df504d2687575bbd72328ce1a6c2cf0d80e633bf3a2aa77a

Observation 1c20f0c5-22b1-4a9f-9f29-d5549b2da249 · outbound

This paper cites Tracing text provenance via context-aware lexical substitution.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Tracing text provenance via context-aware lexical substitution

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:46:38.882624Z

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.

source=arxiv_source observed=2026-08-16T10:46:38.279278Z digest=sha256:55294437c0b81ac0098d7da2d61bbbf0232732051ea8d33edbe129af6097166f

Observation c94fc843-879a-4293-978d-87a6d34cc635 · outbound

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

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Watermarking Text Generated by Black-Box Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.284086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.284086Z digest=sha256:44f13a3f3d827a1bf944ab4dc8d1e0c23941586dddbac7b868468f8895ea3cc3

Observation de4f6619-c73f-4629-bc5d-a5d03c09665d · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality OPT: Open Pre-trained Transformer Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.289564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.289564Z digest=sha256:cd14f6edeff5e40143fd703250d45b2336422051e68a6259906fe7e8dfa65535

Observation de6a2e1f-aaf1-4a77-8dea-1026d8b61a69 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality BERTScore: Evaluating Text Generation with BERT

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.294799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.294799Z digest=sha256:bef07d2826f0c951b6ec20c28374eae3760a6f94e163b6526b2f976ac38449c1

Observation e781c640-7e45-4a0e-90db-550165a8288b · outbound

This paper cites Provable Robust Watermarking for AI-Generated Text.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Provable Robust Watermarking for AI-Generated Text

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.300058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.300058Z digest=sha256:6f9cf4d01f5534aa07a26a24bdb8eff00815fe77484fc5460a2045a3223bbe56

Observation 56b2f3e8-4963-4303-8e82-316b51508608 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.305367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.305367Z digest=sha256:6c73f9e9da0e65eecf641a260c0ef70a85e26b07351f6b7d38a8e457ea901e60

Observation b7dda8a8-e81b-4ea9-9dfc-3134bf559aea · outbound

This paper cites write newline.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality write newline

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.309973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.309973Z digest=sha256:68cc298523161eddafad7d69dd4c58714379fc2265d9223d811b51deb46c25db

Observation d2d75c7a-0754-471e-b592-afb97281e994 · outbound

This paper cites @esa (Ref.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality @esa (Ref

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.316024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.316024Z digest=sha256:f999ac1fd413b07bbe9014676b0e46b365957bd860153881bfa485c707427e8c

Observation 2a35836b-8d05-4344-ad36-0ac816a355b5 · outbound

This paper cites an unresolved cited work.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.321350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.321350Z digest=sha256:3ae2eecb7cc8f1d4d52c54b86e8bd6c1ba6a57f4f7a818acea13a18d49e45a1e

Observation 4f144599-837d-4080-9e65-ce67f932bd8d · outbound

This paper cites an unresolved cited work.

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T10:46:38.328681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T10:46:38.328681Z digest=sha256:fe35e684eb976b81b1cdba7b8dda1912dfdd615387b1e9f52afa901c55c6750e

Pith citing papers

Observation 76f7305d-432d-4eb9-bdd5-a32559ebde13 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.092930Z

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.

source=pdf_text observed=2026-05-18T22:45:31.935618Z digest=sha256:9a0dd488cb1b167f8f2212fe0704b300ff91328d38efba2d34b9466ca536071a

Observation 7cef3177-ab18-4854-9ec7-bb21844db6dd · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.383459Z

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.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:156b4b2aff7b523dd0d8d7d1afee6ac94f55df6bb01a81526bbeb6de3694fcb1

Observation fb8ce0cb-0b20-441f-9049-f40fabb79b70 · inbound

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation cites this paper.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:51:03.758373Z

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.

source=pdf_text observed=2026-05-10T15:17:39.344348Z digest=sha256:7cf778b8494026f937b2816dbe536486983087cae9d7d61c08864fcacda56340

Observation 2a72cbae-92ba-49cc-8fca-5073060880b1 · inbound

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:59.627362Z

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.

source=pdf_text observed=2026-06-29T21:46:56.921674Z digest=sha256:a26ba7a82030c19633b1789e277980153df4a1bc94dbf9e84c18ee9957b45fa5

Observation 7ae4ac35-4109-48ce-ae05-0c929b03e63e · inbound

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness cites this paper.

SAMark: A Self-Anchored Text Watermarking with Paragraph-Level Paraphrase Robustness CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T13:13:38.258113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:13:38.258113Z digest=sha256:ffc823462cf9d83e51025441b9fa904f4ef488eafa89ec5704e470d1e6d60fdf