Pith. sign in

Paper Citation Record · LEDGER

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight

As of 14 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 0 inbound Pith citation observations for arXiv:2608.07337.

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

pith.paper-citation-record.v1
2608.07337 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T06:05:23.410727Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

69 of 69 outbound references displayed

  • verified exact4
  • verified fuzzy50
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6de1495a-ed4e-446f-b5a2-098a1c0fed4c · outbound

This paper cites Intelligencer (New York Magazine) , year =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Intelligencer (New York Magazine) , year =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.359198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.059285Z digest=sha256:6ec168a7791cf07b48130e15bce8a7bd3097410f76b24bfa23925af6e0bb2d99

Observation f3e256a0-6909-46d4-b05d-d8132f52559f · outbound

This paper cites Deepfakes and the Epistemic Apocalypse , volume =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Deepfakes and the Epistemic Apocalypse , volume =

Reference 2

Resolution
verified exact
doi, observed 2026-08-10T06:05:23.515996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.067319Z digest=sha256:e5a749dd3908c83611fc827385d4a27f940d8dbd8413694ba6e0f6fb8d1d7574

Observation 61962727-34d2-45f8-b282-f9e1627a2a80 · outbound

This paper cites 2025 , url =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2025 , url =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.341192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.072891Z digest=sha256:0750c55840a999dfabc16389d7e0b4fc9bd356c63372644c97a29ea555f6808e

Observation 90babc9c-c313-46fa-b20b-92f9a933f8b1 · outbound

This paper cites 2023 , month = nov, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2023 , month = nov, day =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.323475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.078007Z digest=sha256:a2e9258003a4cb44b3c48586654f6f7e3e8bf542f51740c348d20847bb6af0a7

Observation 6e033f5e-0d19-462b-a95d-c13a7e33bbf8 · outbound

This paper cites 2025 , month = jan, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2025 , month = jan, day =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.305177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.083200Z digest=sha256:16a0665613994bd7024734cd313c311457c06d3e084cfe306fa728e8bcd4bf6f

Observation f2bface8-74e9-4505-8814-f00341fcd219 · outbound

This paper cites 942 (California AI Transparency Act).

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 942 (California AI Transparency Act)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.282686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.088475Z digest=sha256:c7ea37dccdb50a7b95461ff6511a7c3b46566e26251e8d081249540a55c982ac

Observation 628b763e-393c-45a8-b324-9dbc7cdacc71 · outbound

This paper cites an unresolved cited work.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:06:24.263049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.093651Z digest=sha256:e04d00e53b6f7c222f2647aaa50150a1a33c0619bd6aca02240e6b98d49766ab

Observation 55428ba2-c808-4d65-a114-ccd71efe9105 · outbound

This paper cites and Miller, Matt L.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight and Miller, Matt L

Reference 8

Resolution
verified exact
doi, observed 2026-08-10T06:05:23.498582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.098778Z digest=sha256:fc60aeba32a1bbc39ed49f3034887b479bf759fd39e6220bc267b78b8cb1fb8d

Observation a15eb1eb-6ca8-4bc7-ad3b-e88a8bfabee1 · outbound

This paper cites International Conference on Machine Learning , year=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight International Conference on Machine Learning , year=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.244162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.104468Z digest=sha256:d1ba74daf7c1fb23b2497ee580cfb7fee91b0791e22b520eee1cf8b3089210c9

Observation 0b7fe919-963c-4b4f-966c-7655d83a5630 · outbound

This paper cites 2023 , month = aug, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2023 , month = aug, day =

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.225897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.110259Z digest=sha256:08dc9511fef2cfde6665d5a42aeb5ad4a88ad416d1346f956c7c3acbdbffdf00

Observation 9dda5ffd-325c-4389-9532-2c51154d732a · outbound

This paper cites 2008 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2008 , title =

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.203623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.115235Z digest=sha256:3a00d9e69eed85647a07bdc1958574605b1f80c6e335b1ea5086297de37c542d

Observation 898b28a2-5f5a-4ce7-8228-158362f4fd2e · outbound

This paper cites Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security , volume =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Deep Fakes: A Looming Challenge for Privacy, Democracy, and National Security , volume =

Reference 12

Resolution
verified exact
doi, observed 2026-08-10T06:05:23.476215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.120242Z digest=sha256:895492678c8ecc39885e77b31676ba65f3da96359fa5ffff5ee055367c29c1e4

Observation 2a89dfd5-f727-4a7b-a2ab-eee648be56ec · outbound

This paper cites 2024 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2024 , title =

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.186487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.125323Z digest=sha256:6e0e30984b9f5ce17145dab4fee6265081cf64b1c73ec4c0af8707d5c4ca9f67

Observation 588788cb-cbf3-47b6-a7bb-3130bc67bf33 · outbound

This paper cites 2024 , month = apr, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2024 , month = apr, day =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.171068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.130254Z digest=sha256:c849e981e8e679975128b4b8d22184abd23819901252da6cb3b5e761faf3f17c

Observation f708aa30-6a9e-48f8-acff-16f5ad965608 · outbound

This paper cites The New Yorker , year =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight The New Yorker , year =

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.154557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.135273Z digest=sha256:e659bb6f9899ba96e2a84eb8575c9fd719fb8f1633aa59629c40ab9d9317cd9d

Observation 832a5dee-1c8d-4e18-b4a8-b216159550e5 · outbound

This paper cites 2012 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2012 , title =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.137836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.141084Z digest=sha256:7c5d183e734eae8997cc0cad783a0563965a2709e09ef9ea4b80623c7d5d07f9

Observation 02cc8c9a-693d-4cde-ac1a-a65b93d49b62 · outbound

This paper cites 2025 , url =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2025 , url =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.117964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.146232Z digest=sha256:97335270a724509ed85b518e95dcb609dd63c2ab16e1ede3300102a6ad92e146

Observation e09e8787-43cc-41c8-b46d-157167dcf3a6 · outbound

This paper cites International Conference on Machine Learning , year=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight International Conference on Machine Learning , year=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.099763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.151724Z digest=sha256:d2caf6d56066a3c0f92f1879a353da0251f994f7a658b3fa2b0213185cc61eb9

Observation ac1bac4d-a0e3-4c3b-8162-c09d672b5255 · outbound

This paper cites International Conference on Machine Learning , year=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight International Conference on Machine Learning , year=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.082110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.157703Z digest=sha256:7e04793ef406e49dbb208d9eac220457efa241f950289af050b68b74d9a20cbc

Observation 09e341d1-a9a4-42bb-b471-585db5267346 · outbound

This paper cites Transactions on Machine Learning Research , year=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Transactions on Machine Learning Research , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.063109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.162253Z digest=sha256:f6216476581d324e005ca0162f79ae6d469534a2823462feb72b76354128198e

Observation 46483d6d-e528-4e30-a290-7a2e47aa22b8 · outbound

This paper cites Information , volume=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Information , volume=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.045384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.166715Z digest=sha256:19ac2b85fb6eec4c340618326e592eb3848fc3bdd6396ee9834a61b9066b4c7d

Observation 54852006-fbcb-4981-83c2-756aaa42b3b1 · outbound

This paper cites International Conference on Machine Learning , pages=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight International Conference on Machine Learning , pages=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.171321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.171321Z digest=sha256:61e6fc07bc0958d12a5239d536188e579931e024766119dfa314f377115f9edb

Observation 8146901d-d845-429e-8ff9-11f040a84870 · outbound

This paper cites IEEE Access , volume=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight IEEE Access , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:24.015931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.175654Z digest=sha256:0ad4392744e8638228eca3a637cd6b2aee36b7d4e1188eb43b3b2d6cd8e3678e

Observation 927f6f5e-47a2-4d49-ac33-1deaeb91581d · outbound

This paper cites The Thirty Seventh Annual Conference on Learning Theory , pages=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight The Thirty Seventh Annual Conference on Learning Theory , pages=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.998124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.179971Z digest=sha256:02248807d8e11b10f4c201582c0d43190bc180671a6be9472219695e6fa53e17

Observation 0c1d77e3-60f3-4500-82a4-1663d4b9e577 · outbound

This paper cites Can AI-Generated Text be Reliably Detected?.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Can AI-Generated Text be Reliably Detected?

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.184537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.184537Z digest=sha256:b7afc196b5e917fd82a380ed58ebf8481cd031f6e96b5131c76a5590f064b337

Observation 5682cb97-32db-4493-a2ad-487c93ee930f · outbound

This paper cites , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight , title =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.981001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.189854Z digest=sha256:3a9244ce4675e1fe1797b54cf58934097799c09f05f23d3ec86db59fac4a0ea2

Observation b57964f9-adba-4fea-8528-f5fc3c11fcf1 · outbound

This paper cites , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight , title =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.964355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.194720Z digest=sha256:2c6970b842c42671b882a1428478466e7ba5b7be5033fb70cd4be6fb559add3d

Observation 9baedb20-00e0-4abd-b7ae-47a62af6a509 · outbound

This paper cites and Gould, Sandy J.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight and Gould, Sandy J

Reference 28

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-10T06:06:23.332176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.199384Z digest=sha256:de781a50c7afd69071d4de76f17c7b10016b376e6ac685392cd0101b73d62968

Observation a2095885-4aa8-41a0-98a9-19696bbfe00c · outbound

This paper cites Florida Law Review , volume =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Florida Law Review , volume =

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.946134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.204638Z digest=sha256:e503dfca67cfaccf72452f007b98cb9b63be02565703025f09fc3854e42c28e4

Observation 19f4f2f7-384d-49fe-bd91-9e5bf09b3522 · outbound

This paper cites and Benesch, Susan , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight and Benesch, Susan , title =

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.930349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.209177Z digest=sha256:f677799b59398ac9e8fdfa4a4f355c6385510cb2cca9f6c28e1daaaf0b6403a9

Observation 20439e16-03de-427b-9d0e-be37b30d50d8 · outbound

This paper cites an unresolved cited work.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:06:23.915301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.214491Z digest=sha256:f398496990648e962887aed6dcb37f57df77decae0ca4e97765093f87ff6d9bd

Observation 731235dd-1dbd-4bd0-b864-fd6c68353cca · outbound

This paper cites and McGregor, Sean and Ovadya, Aviv , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight and McGregor, Sean and Ovadya, Aviv , title =

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.219030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.219030Z digest=sha256:8ab76357e78621ffe9bc306ef3855c098cd8062aed9c174f92ea6dbf9d02af4c

Observation 4e0259e1-333b-4de3-9211-46a25ef343a0 · outbound

This paper cites Watermarking Language Models for Many Adaptive Users.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Watermarking Language Models for Many Adaptive Users

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T06:05:53.722873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.223188Z digest=sha256:2b83a137865ba991adac03ea4a2c3b75d964e581098ac53a4c059eb8042d32b9

Observation f7253c11-5f81-40b8-ba8b-18f7c0abe9f2 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight The Twelfth International Conference on Learning Representations , year=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.900056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.227987Z digest=sha256:3c6af1f0a460946a4c3a9895df7cef208c4b3f847505e8e92e7864ae9f61163b

Observation a43bb68d-d440-44f7-b201-ab702f578889 · outbound

This paper cites IACR Communications in Cryptology , volume=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight IACR Communications in Cryptology , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.884170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.232376Z digest=sha256:29b94bb49999e3860d108f071fad6ec9983a195a2225f7a76218671d275f3a9f

Observation 5f939685-ba91-4b90-87a5-8dc5311156a3 · outbound

This paper cites The 28th International Conference on Artificial Intelligence and Statistics , year=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight The 28th International Conference on Artificial Intelligence and Statistics , year=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.867877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.236746Z digest=sha256:24e88175eefcb9a9f1d737364d101d98384ab09194069793751d5e56ba1f4195

Observation 7bc7377f-1743-450f-b1ef-2f251748e273 · outbound

This paper cites an unresolved cited work.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:06:23.850159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.241500Z digest=sha256:04fcfa63e47910b9299dde1168f93006cf4ac5812d60322e6a64e23173c78196

Observation 6921ddc4-c231-4988-802c-0691d1073ac9 · outbound

This paper cites 2015 , url =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2015 , url =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.833439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.246047Z digest=sha256:7f4ce79d9fe849e78657bf3f01abca1494260948970523c3bcd7b4cbc986537e

Observation f76fb4c3-45da-4677-a394-acf8204956ec · outbound

This paper cites 2019 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2019 , title =

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.816203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.250894Z digest=sha256:2164082a26dd64b6641dcedcdd0584dd98f0e40013c3d7f6c94bba1f64450f51

Observation e7c1cda5-6f6e-4397-8889-e4e9181f9ac6 · outbound

This paper cites SSRN Electronic Journal , year =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight SSRN Electronic Journal , year =

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.798603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.255773Z digest=sha256:54b0271f61a38dd220ddef896f6eef4083ab999f043cb1104b613c061c9d9d67

Observation de1f8e6a-ae14-4b89-8477-3fd125f269a1 · outbound

This paper cites Duncan and Wallach, Hanna , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Duncan and Wallach, Hanna , title =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.265449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.265449Z digest=sha256:47768e6506fa20c554d8ed513864ea7868d5480c6e338e2c725675354c642049

Observation 7df1af3d-b362-4e9b-a158-2cff35f87c69 · outbound

This paper cites and Mitchell, Margaret and Gebru, Timnit and Hutchinson, Ben and Smith-Loud, Jamila and Theron, Daniel and Barnes, Parker , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight and Mitchell, Margaret and Gebru, Timnit and Hutchinson, Ben and Smith-Loud, Jamila and Theron, Daniel and Barnes, Parker , title =

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.270626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.270626Z digest=sha256:8ee4e54c6a6ff9a98e07889d8575b98ce9db2e0bb5088fe7dd91a846b6a9301b

Observation 5d178dd9-49ae-4cec-b4e2-4119b9bde6bb · outbound

This paper cites 2024 , month = apr, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2024 , month = apr, day =

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.781902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.276472Z digest=sha256:36025d3b4fa80ef75aa4e2448efb2156c6c7afdef3f7ddac64f38983bc109fc7

Observation c9d05d7a-e010-424e-8769-94f612542c21 · outbound

This paper cites , keywords =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight , keywords =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.766041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.282632Z digest=sha256:29fe2fe83594a6783ae64e9436058afbd09ad2f626582302459da3c670dffa42

Observation 1aeef61a-0bce-427c-b19c-4624dd59a4a6 · outbound

This paper cites American anthropologist , pages =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight American anthropologist , pages =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.748761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.288212Z digest=sha256:fef61b1458c92064f73416a6ef677a08128149a2836f10a88b1dd644e3f306ec

Observation c6f072f9-fb8e-45c0-8022-3a5f04384e27 · outbound

This paper cites 1995 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 1995 , title =

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.731084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.296935Z digest=sha256:4472554c00c7c2cb6f31a77db9407c0df61e5bdd4d9edbdb90777c74a932bc62

Observation ab1a2040-d54e-4a02-94a2-976eb1dbf77f · outbound

This paper cites Regulation by Contract, Regulation by Machine , urldate =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Regulation by Contract, Regulation by Machine , urldate =

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.713814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.303172Z digest=sha256:c6a41dd7b49d9d72d463209616c2277c65ee619f9aecf286c133f890b059a1e6

Observation 31b011c8-4797-4210-9386-398b9f3acca4 · outbound

This paper cites 2007 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2007 , title =

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.695867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.308252Z digest=sha256:b2e6430059c70ce234df6b33066a8a3d6267de6176b166979e85c253a03c6db9

Observation f392c5f4-cbf6-416f-87e5-0680439aa1e9 · outbound

This paper cites Users Favor LLM-Generated Content -- Until They Know It's AI.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Users Favor LLM-Generated Content -- Until They Know It's AI

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.313542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.313542Z digest=sha256:fb86aebebb218c893cb09f91001241701d99a86cc18958d22817e536792a2175

Observation 957b3fcd-4e24-4f97-84df-c5b6a5bec9e4 · outbound

This paper cites 2024 , month = apr, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2024 , month = apr, day =

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.679424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.318979Z digest=sha256:f8ab9a75f86f979d4502adf83db7366a5f786494f4fa70fa71310fd7eea7d83d

Observation 7f7fdca4-208e-494e-8aa8-0f8c773e80ae · outbound

This paper cites and Givi, Julian , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight and Givi, Julian , title =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.664253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.323811Z digest=sha256:ffa0350e0ff76468e8c1e75889558aba415fe8222676b6357fb725b7ae3322e6

Observation 4f0cccd1-d5f0-4cd0-b326-fb7f5c0dc476 · outbound

This paper cites Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency , pages=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.649868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.328435Z digest=sha256:cb1fe46e373dbff4d72972d690a56ffd70774713c9fe7188be8839ee6c867986

Observation 5b022f76-4be2-4b98-a478-39cc68834a47 · outbound

This paper cites 2014 , month = sep, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2014 , month = sep, day =

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.635120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.333262Z digest=sha256:fc9766deee226d17d3ccebce849a14754e6b732453a7364222cc426a4300a5d1

Observation 9088cf16-ffa7-4b36-bfeb-c68206b5cefb · outbound

This paper cites 2011 , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2011 , title =

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.616826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.338202Z digest=sha256:ffe3569b6e8596611d3ad181033ea7399e212083720e94bdbb02da184a7e2110

Observation 7d55401d-7693-439d-b593-78e27ccef15f · outbound

This paper cites Nature , volume=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Nature , volume=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.596026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.343069Z digest=sha256:244f255a689856287efeb4e5ab081d101acd634edbb7f96d8c4d484922d33c3b

Observation 58c4d9e5-9154-46fd-b25e-f0ac1801d78c · outbound

This paper cites an unresolved cited work.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:06:23.579338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.347956Z digest=sha256:2a581a081016b7cdfac3d5653018468ae806457f330a3b14bab94567150db88a

Observation f36a21be-239d-4f02-897c-759b4085f8fe · outbound

This paper cites Rickford and Dan Jurafsky and Sharad Goel , title =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Rickford and Dan Jurafsky and Sharad Goel , title =

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.561188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.352646Z digest=sha256:4139515d2759310692c30cfdf84e394acf1b911eb977d33ebc8b5be97293d279

Observation ec16fd56-5ed2-4afd-9959-2acd3bcd16aa · outbound

This paper cites The New York Times , year =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight The New York Times , year =

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.540347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.357742Z digest=sha256:e6528b06091e90370e3984d7be713d340af21d50a91d754e7399a0b2d777d88d

Observation 3849dd37-5007-41dd-984a-df055ba715db · outbound

This paper cites 2023 , publisher=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2023 , publisher=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.521109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.362543Z digest=sha256:23bb8d2afab8f3dd1785bce99a9c99c3543e676757343b3c4d9791e4dfc31928

Observation 1a8cffe7-f347-4cc7-9f61-62a51de0eff5 · outbound

This paper cites Journal of Information Policy , volume=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Journal of Information Policy , volume=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.499308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.366872Z digest=sha256:3f94b49104f863e1e39fe3e87ddb2fb52b6335451ec2a8485d77aa8335817f18

Observation 6117b1e5-a993-47de-8789-4d384a9dfee1 · outbound

This paper cites 2025 , month = oct, day =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2025 , month = oct, day =

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.479899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.371254Z digest=sha256:33a01327c0710b5583fc95b5511cf652fb2ead1832dd498bfffe842e65926a72

Observation 1f173244-bb2a-4d27-8a33-bf4b1acdc4ee · outbound

This paper cites AI and Ethics , volume=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight AI and Ethics , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.460234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.376246Z digest=sha256:a9b87077c1a523e2e822342a136168fb72ed666d3ca86863574824518bd054d3

Observation 60fac129-a169-41d0-a5ca-ba63e0471889 · outbound

This paper cites 2024 , journal =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2024 , journal =

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.441610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.380929Z digest=sha256:fc83ae7d792c726ba310f7d0c9f56aad6181ce2e462de73a2f6d9708c04dca24

Observation 134d0765-11c2-41db-b97c-f34af1a7dff3 · outbound

This paper cites Science , volume =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Science , volume =

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.423252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.385477Z digest=sha256:d392389146a3a0f57904c40f413b34d386f06df62d350bfe77c051b8b84adf89

Observation 1cbcc873-97eb-4f8b-8414-e5669c03220d · outbound

This paper cites 2026 , eprint=.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight 2026 , eprint=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T06:06:23.401201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.390244Z digest=sha256:1d1642811ecfd3765a14b88722ddc769772e869fe49a667c89267c8b128713f7

Observation 110b2ab3-ec54-41c4-a117-6cd9a10eba7c · outbound

This paper cites an unresolved cited work.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:06:23.385805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.394876Z digest=sha256:0b1de5a2c59834f6206b669e5ffd97a03ee6a96338a956c1f13dd77ee25951fa

Observation f1fb891a-1fd7-49c4-bdaf-db4633a9437a · outbound

This paper cites an unresolved cited work.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-10T06:06:23.370406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.399800Z digest=sha256:88433287f81b1a0557abe374bb7f64f1ec3a47860e7fdabf9eb383e95903f74b

Observation c0ebbc92-c991-4403-af25-cb15686fe825 · outbound

This paper cites Nature , year =.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight Nature , year =

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T06:05:23.404988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T06:05:23.404988Z digest=sha256:0106cebf72072076445af09771b120735462057fd04dd282e0c9b75171c0743e

Observation 64839f67-520b-4083-b063-5f39268b9ed2 · outbound

This paper cites TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection.

From Forensics to Ecosystems: Rethinking Watermarks for Generative AI Oversight TextSeal: A Localized LLM Watermark for Provenance & Distillation Protection

Reference 69

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T06:05:23.540620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-10T06:05:23.410727Z digest=sha256:068823bdf1bfdb7cc83210c42312135d700c0fb6bb4b069aaf50b7761111c9c2

Pith citing papers

No inbound Pith citation observations are available.