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Paper Citation Record · LEDGER

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

As of 8 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:2506.22343.

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

pith.paper-citation-record.v1
2506.22343 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:15:06.260547Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T21:55:33.687210Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:58:58.342979Z

Reference resolution

48 of 48 outbound references displayed

  • verified exact1
  • verified fuzzy19
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a76a23e-8ccf-4d35-9044-3939806ad565 · outbound

This paper cites Aaronson.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Aaronson

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:12.083007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:02.764755Z digest=sha256:2764107314e703f91e2ef0923e9f5eac31eb9cd89fe4b0e0f4f94dc831f87f9a

Observation 24f68001-7d78-45ae-ace7-e7a49e9c5845 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:11.922543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:02.816740Z digest=sha256:73cd25806fbfa29b0161f905ace6186ea144e7bd2a8ff33d4baa5a9ea04d7f3d

Observation 6f96d272-40be-4bae-99e4-760cb4dac358 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts On the Opportunities and Risks of Foundation Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:02.882803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:02.882803Z digest=sha256:5ec28508a9fc6d67e724aa42cdf9d8d10351ce783c8558a9ece22d545c07c546

Observation 19897a03-f3ad-4bc9-8a37-0dd6cf82011f · outbound

This paper cites Brown, B.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Brown, B

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:11.756010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:02.955581Z digest=sha256:8360add29cb48fa5d49c85f3e8911943cc54725b2bbf62d2a281a9f9d3784430

Observation 2c9c8560-658a-45cb-ba75-af0e4e6ead44 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:11.608700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.025873Z digest=sha256:b8273421f0b09cc788e6438bb7f8bc4bd141da25dbd357d5194cef671ad76da1

Observation 16ab0b5f-3d4f-4f1e-87e4-e350db3b4e11 · outbound

This paper cites Cohan, F.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Cohan, F

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:11.429081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.112005Z digest=sha256:938b36a287fe1042c9e048299d0d421266d6d2fab399e8706bd1e4b807ee3d34

Observation 5656937d-883b-42bd-a7ed-a8fbd480a183 · outbound

This paper cites Under the Surface: Tracking the Artifactuality of LLM-Generated Data.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Under the Surface: Tracking the Artifactuality of LLM-Generated Data

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:03.169756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:03.169756Z digest=sha256:72babe417e23e5c0a35a25a6a9510bfeba684cb1148115c8c5ebdccf5b59fe46

Observation 13072b1a-af73-4d0c-b8a7-4702f5915f6f · outbound

This paper cites Dathathri, A.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Dathathri, A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:11.276219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.242183Z digest=sha256:0969cf61067410618afdc57e5d8c4f1a5e19ea3b2e0a693ff09c321dbf06574b

Observation c37e4ff6-8b78-4340-beda-d50e9989541d · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:11.090929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.322616Z digest=sha256:951d85e9583ecb82dcd748b7ba65448b2a83fad81257fd75718c38d79975a903

Observation 2972827a-4982-4da9-a063-134b7b00cd2b · outbound

This paper cites Donoho and J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Donoho and J

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:10.955911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.384746Z digest=sha256:4519bd62b89a1e63611a2742c2726191dc7731e816cd150dc48ece1579773c49

Observation e9e61cff-c0aa-491f-84a8-3036689b98b7 · outbound

This paper cites The Llama 3 Herd of Models.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts The Llama 3 Herd of Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:03.450336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:03.450336Z digest=sha256:48c4dfc74d2932d3191edeef7a5808e0722ed39a9cad43c0e41a3d183fde41c7

Observation b2416642-7c70-4318-9735-8ce25696bd32 · outbound

This paper cites Dugan, D.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Dugan, D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:10.810599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.521622Z digest=sha256:7772b44b6ddad81e827e7170558f12aeb5f4d12acbea7ef69b00f9bef5e25a13

Observation 1924ca3e-9bfb-4f9d-8d22-ffa7aef69c15 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:10.657197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.612420Z digest=sha256:cd26dc2338092a02b75dfa6864345b73a938b1fdc9a50dd64ec9498d930963a7

Observation a42cc0ec-72ad-4d6b-8461-2e1c7871a544 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:10.524344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.718490Z digest=sha256:2526b5495789f6b3a25ade5812d137e4d97ba5fab0f1736377ab08440a2470fc

Observation c4743e49-85cc-41d8-b050-514f746092fa · outbound

This paper cites Kirchenbauer, J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Kirchenbauer, J

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:10.383382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.794524Z digest=sha256:34f682f31d5de97f40696de318cae7618a17db6851536e5bd75090ea0b5d220f

Observation 37c7002e-f2f4-4d23-9d9c-1adec0796975 · outbound

This paper cites Kirchenbauer, J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Kirchenbauer, J

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:10.220922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.862549Z digest=sha256:ae91e5a9c7f0ed216bb7a4bbc16ed7d379d27942ee0055805994825ee07e6fd3

Observation f0e1e2e7-68d4-48bf-9abf-bac8102afd69 · outbound

This paper cites Kuditipudi, J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Kuditipudi, J

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:10.003787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:03.930029Z digest=sha256:801dcf919889c6b39b5fc13667e6746eb281de1d4d33a8d976a78454400376ce

Observation 9dbc5f79-7053-41b4-8e8e-d24497c872df · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:09.742084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.003376Z digest=sha256:f01184001374e7e23ca6ded27de2a0fa29110acf4002057ce0a527cab02e91ac

Observation b6460687-b175-436e-b6e1-4fddee891072 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:09.563040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.060929Z digest=sha256:c3a115735974da508201c18a6cfa3f821c508fcaec33dba99564610728f0337c

Observation f0751254-3b24-4f04-83a9-df8824f460c0 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:09.388160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.158657Z digest=sha256:c84fbd9832ce50a189e138a2ed9f7efcb01a6bc3d93327ac77e64edbb72f5067

Observation d7491183-8dff-4b7c-bf04-182b903bfd16 · outbound

This paper cites Liang, Z.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Liang, Z

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:09.221742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.270185Z digest=sha256:79a0edb320f2c8b8819ec6f526258d4550293a3efa8ebca1d74022462cf55eda

Observation 56f5316d-25ca-49d5-b0f6-30cf19b46db0 · outbound

This paper cites Milano, J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Milano, J

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:09.052357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.334182Z digest=sha256:19c756884d6061ef02b8f929c4237bb32388c621f42b04aa47ac1697f1c111ac

Observation c44107d3-66ac-4d1d-a799-9bcd03a84e02 · outbound

This paper cites ChatGPT: Optimizing language models for dialogue.http://web.archive.org/web/ 20230109000707/https://openai.com/blog/chatgpt/, Jan 2023.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts ChatGPT: Optimizing language models for dialogue.http://web.archive.org/web/ 20230109000707/https://openai.com/blog/chatgpt/, Jan 2023

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:08.883603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.440356Z digest=sha256:4e07945e394be57484048b87720ed1e6fb4db65688766083aa01ddabd6f04abf

Observation f1e74f5c-4983-4ebd-8c14-fcfe7461223c · outbound

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

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Mark My Words: Analyzing and Evaluating Language Model Watermarks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:04.532162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:04.532162Z digest=sha256:8dde27dcf03c118ea7e2cc600476b98bb68274d910f58ece2e0de4111be25b1c

Observation f3154959-cbaa-406a-ab62-ff201575d905 · outbound

This paper cites Radford, J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Radford, J

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:04.585642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:04.585642Z digest=sha256:3bfa7a4e616fa6b73eaa238815ee6382e24fcda9425aeadb332a9f5d7c94e664

Observation 04a310d4-e7cb-4dbe-aa0c-414123e8f13d · outbound

This paper cites Radford, J.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Radford, J

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:04.648720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:04.648720Z digest=sha256:706d7ac47c527eed33a2e716ba6665c62c62b3b0e46139b561753f49f1b48613

Observation 65abf6ee-f455-411e-ba2f-eef3105430e3 · outbound

This paper cites Raffel, N.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Raffel, N

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:08.674921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.719042Z digest=sha256:6d2c0aaa2fc3016bdff6392908fcb65b5042379c108feacda5e8989f84711875

Observation dbf439ea-48c6-4185-ba0a-d56b3a0d2603 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:08.537228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.811276Z digest=sha256:8387e50f0cccfb0056b1fb3a89554f67e390045e9eaeed9b345593a58279081f

Observation c842f18b-488a-4763-b638-83ff923ad6a2 · outbound

This paper cites Starbird.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Starbird

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:08.388074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:04.958925Z digest=sha256:0b594d24c3b2a913d97b4f9018a586f86ce4b8f8e240c1f84b59a689a357178d

Observation 2ad960ca-489d-4008-a3ed-f87f52489eb0 · outbound

This paper cites Thomas and A.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Thomas and A

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:08.241763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:05.052685Z digest=sha256:496de315b6073e11140662e863602a36adc11ce705a7efa7c5d605de5f09f36b

Observation 7f293ceb-2336-480a-a19f-32f97663a8c4 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.137592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:05.137592Z digest=sha256:47d0855d9ef995045f7dfcf21359a6699949f6be6dce64bf9a13690245d12e3d

Observation 9024cffe-f026-4e51-9cc9-e8ca8c7d1f60 · outbound

This paper cites Vaswani, N.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Vaswani, N

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.207614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:05.207614Z digest=sha256:4a3d8687089d6cf3d995d33346c41f5adb53e71d4641429eda122f9a7e6b03fb

Observation 894d3a56-a9a2-40a8-8048-445b4ad7fddb · outbound

This paper cites Virtanen, R.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Virtanen, R

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:08.047711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:05.275288Z digest=sha256:81c7ef549dcf019b576112864ed2f85751903a8b693c3d367c9bfd786bba31a0

Observation e7c7955c-5a08-4c7a-8b92-a1c2dd34f988 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:07.837322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:05.351146Z digest=sha256:aea9532100114964fa195a8816759f6659c7ee20d081dc8fa6d43fb3cac28268

Observation 7971e2e9-3ffd-4900-8e58-3c6c7103c166 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:07.652036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:05.417295Z digest=sha256:65be4ab368ddb66e7c1ab4a91c68af2966fcbb83f1192ecaddc2b1f473ad224f

Observation 2cc5b198-57ae-4389-aa71-b8edc14f743b · outbound

This paper cites A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.489390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:05.489390Z digest=sha256:f939fb066f82346bea47c281b357519cbc4fef9bd8865a5da353f26fbe63e137

Observation 22bb54c8-7c40-4e9f-9e8d-38523ec25443 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-08-06T22:15:07.489425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6c7be41c-6573-49ce-911c-14aee71ce202 · outbound

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

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Debiasing Watermarks for Large Language Models via Maximal Coupling

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.624482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation adff9e95-8cf0-47e8-a5e9-b2f5b4acb1e9 · outbound

This paper cites Measuring Human Contribution in AI-Assisted Content Generation.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Measuring Human Contribution in AI-Assisted Content Generation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.713279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:05.713279Z digest=sha256:eea2c332fad5b1e1b9c4ed7f765e8c3657f258890df1a7f3aae745f6068c2610

Observation a70eb8c1-61be-48a9-affa-bcb3b054276c · outbound

This paper cites Zhang, C.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Zhang, C

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:07.287307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f1a98e19-4529-4fa0-a623-fbab8fc95971 · outbound

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

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts OPT: Open Pre-trained Transformer Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.835530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e35df4ee-3f0c-4fd6-8c7d-a80cff16f09a · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:07.108822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:05.896931Z digest=sha256:09b2cff40336a39f5edd78d71a317fcc16d8d501689d9753abe6e9e736d59016

Observation 78a2bc26-d657-4e79-8723-34d83bc39bfb · outbound

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

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:15:05.948706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:15:05.948706Z digest=sha256:3f63f005a2559e2d20151d32ad3fbe786be28136c1d4ca77cc8a1bc0dbe50bfb

Observation bdb8da1f-d552-4eab-9303-ab7ae651dfe4 · outbound

This paper cites Efficiently Identifying Watermarked Segments in Mixed-Source Texts.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Efficiently Identifying Watermarked Segments in Mixed-Source Texts

Reference 44

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:15:06.386529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:06.009423Z digest=sha256:51978cd687af7b2d0181f95c9b602345c60ff63bac67d7f27a8ba01c82321b90

Observation cb7f88ce-41cd-4fb9-8884-14f84f6d13bb · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:06.970688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:06.071873Z digest=sha256:f52a6858ae986a6112657a67938f1168c4d9930a178704a9ddbfb7bd23b749e8

Observation bcee6c46-c4c4-458e-9b1f-b4f5aece4ed0 · outbound

This paper cites 1 n nX t=1 pt(ε) # 1 −.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts 1 n nX t=1 pt(ε) # 1 −

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:06.817578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:06.142663Z digest=sha256:efa816488f3c920947e9939c95fce796073e511481ccb14d4f4aab4ff2d5f664

Observation c3f2be24-d458-49db-b6e8-5b8854959f21 · outbound

This paper cites an unresolved cited work.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:15:06.683942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:06.208359Z digest=sha256:fcf2374dde3f4bc5a041607d368e60569145537d5fac0c96aef0f19c63d65083

Observation 187fa63b-3e63-45a6-8101-13c7f590e755 · outbound

This paper cites scipy.optimize.minimize.

Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts scipy.optimize.minimize

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:15:06.569266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T22:15:06.260547Z digest=sha256:a61cd520fa639132c03b83f1c1777e7b121a659b895526c477b59fab12b30a98

Pith citing papers

Observation 4e770400-11cc-4a77-9d11-3eb35f236cb8 · inbound

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes cites this paper.

Fundamental Trade-Offs in Multi-Bit Watermarking of Stochastic Processes Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:48.781607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T01:32:57.175350Z digest=sha256:a2882029a5e9b01e4e8b0a04a447e611ddf41788ae230c7a3c36aed10333dbf1

Observation 28686dd7-17f4-48af-9701-bd0d79831a01 · inbound

Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics cites this paper.

Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:47:09.008775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T16:42:40.017170Z digest=sha256:423fd01819cc382863ee2eac4757167f39981d8e7377387c02ce022c94d4ffab

Observation b6df722e-9f45-4955-8774-5f9925b44e93 · inbound

Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics cites this paper.

Sample Complexities of Estimating Gumbel--Max Watermark Proportions with and without Reduction to Pivotal Statistics Optimal Estimation of Watermark Proportions in Hybrid AI-Human Texts

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:58:58.344421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T21:55:33.687210Z digest=sha256:c51fc68759dae02b23d36463daadb5172727594ea25ea4827e086a4cf6233a21