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Paper Citation Record · LEDGER

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek

As of 7 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2506.12349.

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

pith.paper-citation-record.v1
2506.12349 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:30.629263Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T07:16:56.008139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:18:32.649099Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved23
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e89f93c-38c8-47fd-b328-72337408824d · outbound

This paper cites Anderljung, E.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Anderljung, E

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:39.161398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:25.887983Z digest=sha256:b3d54cb642ae9e61a1f18684a129777daa4ab27105037bdc455a481c2ba1149b

Observation 4f6e1f16-89f6-4ec0-bd92-f22299ed0794 · outbound

This paper cites Augenstein, T.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Augenstein, T

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:38.965902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:25.969590Z digest=sha256:f19ec7cf8019853ea466b56e48141c46051210ed138ece25d91e150673436315

Observation 2c033672-dce6-4d7d-bc40-40eb90f6720d · outbound

This paper cites Barman, Z.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Barman, Z

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:38.742309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.047974Z digest=sha256:82f55909663aa051d2c3df0cf9a35670d2049fbbbdfe2488d376dcb3bea04e4a

Observation 87dfc320-90d1-4313-9fd8-48d662004a7f · outbound

This paper cites Bondielli and F.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Bondielli and F

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:38.512069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.106377Z digest=sha256:63bc597eae4e6ef7f3d9a4267203cf73fa5ca115ecc444c5acde1b4b1120edab

Observation 09e656e8-57eb-41fc-832e-0a7800bb28a1 · outbound

This paper cites Large Language Models Reflect the Ideology of their Creators.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Large Language Models Reflect the Ideology of their Creators

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:26.179090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:26.179090Z digest=sha256:ed5be0d957fb1ec872bf00102d0571328d89034bd7e1f2a7eeec4c7fcd481edb

Observation 3adfeba4-2c3a-4d13-be53-68ae4d86833d · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:38.310330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.328092Z digest=sha256:e4915a3ec38e299370f0cdb3e6d132c175214eece6716c866aa9072d286fb276

Observation 9b9b629b-eaf1-4bdb-94c6-38cfac75b796 · outbound

This paper cites Chen and K.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Chen and K

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:38.081662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.437858Z digest=sha256:0a80ca81e22304f313f876a2774dc5531b167387045046e3e460d23cab2a5685

Observation 77ae1ded-7707-4d5e-bfcd-ab7d1fc46a4f · outbound

This paper cites Cosgrove.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Cosgrove

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:37.829576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.534917Z digest=sha256:c3436b67a21b0cf93d78f5315a56ca290192e0d99c6d8a21a8037c6a4de326de

Observation ec47108d-f7f3-4856-b025-cdded0ba6e1e · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:37.651935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.657721Z digest=sha256:312d2fcdd4f272b635d96c26883f753290899d5b95252a59f0cc57c6133dfbbc

Observation 75ab6a96-106e-4fd4-a3a8-fb16348db7f5 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:37.348499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.768382Z digest=sha256:a288210b1dcdb4e619b3b094441b7f29023846b62614a919b37d4fc2266185c8

Observation 613f2541-8e13-429f-bdf3-600c033a18f7 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:37.076783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:26.831178Z digest=sha256:d0d519a27f8ae775e61dd12ffaf1892f07600aa7b6d09530673d1dc5b89e8db5

Observation bbedd88b-2fb4-4bcf-890d-b5ee2be4f32e · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:26.931855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:26.931855Z digest=sha256:c9a04259351a0730ebe1994db2ca1424491210342235bf481bdf28d1870ca199

Observation 7b3c9b62-de1e-4b0f-9e43-6b63d9b72325 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:36.850256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.049585Z digest=sha256:331f7233696861e6046959db58b031a6a96089d39657c88485b3fc39764b63e9

Observation 064d979f-4261-4f46-8d89-26044fcc83ab · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:36.563947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.137932Z digest=sha256:82a52a534e635fb7cdd92637a314de58825c2f9ca7de8bdf34eca55f8a31f57b

Observation df92ac32-ad69-4854-a581-13e3db602a0b · outbound

This paper cites Huang and D.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Huang and D

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:36.372056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.201894Z digest=sha256:372e878b0fef8185c2b900cab9feda01ff36f07c081ab3efdf805accbe35b5b7

Observation 6cc4301f-eb90-45d5-8043-404ce4f6e04e · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:36.200049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.367903Z digest=sha256:dcef47e75c8be2204fad428a7ce629087ac275558d0c7ddc744c69b1dee358f9

Observation 47443b02-0714-4cb0-8b5c-3de51cde8fd4 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:35.953081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.558551Z digest=sha256:9ff6de48f9650047299cb3ca7c7e4c637e857721789d7939a5fe611672fa6a99

Observation 8b694564-d025-4704-ad0f-1f13f9f71797 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:35.740136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.705648Z digest=sha256:c5018fad84c7e7dac45dc586c030a543637a4010526be7c5e23b379300ad4fac

Observation 4c9b2b53-d062-475a-9d74-0bdc2d5ed754 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:35.458687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.855286Z digest=sha256:bff7e9648b239af154d6e85717ca4545bef55607372751370ed0ffc2e265b5cb

Observation 0f2bf51b-052c-41d7-96df-7b67d12b09fc · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:35.196904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:27.986697Z digest=sha256:334e6db37162a25f7d4af82a5e210a1afb34210aaf31b923c52fc6e9d6b35487

Observation f351f633-651f-43e8-94aa-7d23cbb446e7 · outbound

This paper cites Maia Polo, R.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Maia Polo, R

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:34.928491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:28.088826Z digest=sha256:6c5855c2adb7ebd6d4ac0676704a8d1ba2c03f76de22c3fdf2d507ec1931987e

Observation 22a945e6-3ac2-4fc8-9a37-19447e39ac1d · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:34.678688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:28.193323Z digest=sha256:483c0c64e28ed0c730c4015daf9ee39b0757f82695e0dcf97fb28b37d233e872

Observation c27193d9-656f-4363-8855-85569a57d3c9 · outbound

This paper cites R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek R1dacted: Investigating Local Censorship in DeepSeek's R1 Language Model

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:28.333789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:28.333789Z digest=sha256:8e91ea4b423d9b1a8de53425f24f0eabfdfe6224079fad07040e2fe514be8ae5

Observation 53171dfe-7ff1-4cbc-934a-d9b6ed34ba3e · outbound

This paper cites Ng and B.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Ng and B

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:34.400708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:28.464438Z digest=sha256:70b75dfc3ec65122e961d067a47d33e88efaf47bcf8c75f3fbd21ffb73fe4ff0

Observation a388e592-9f97-474d-8675-843e9eb2991d · outbound

This paper cites What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:28.573205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:28.573205Z digest=sha256:0600827426d8d813835b5a5baa6ce686997d844502dfb159e18a221e1487a088

Observation 703444e5-742b-4e78-a907-e45ffa631421 · outbound

This paper cites Learning to reason with LLMs, Sept.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Learning to reason with LLMs, Sept

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:34.124446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:28.741672Z digest=sha256:166b53e44f7eafce73b755bc7ee0faf876130d6c5c48642718f8d20dbacac7a5

Observation a7199ff4-7503-42a7-9d48-487fd86cc9cb · outbound

This paper cites Definition of censorship in english.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Definition of censorship in english

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:33.888971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:28.800450Z digest=sha256:23f5b53fff7712f1e0214a8de87d906710e95f6e8350c6e8854450f206a4dce6

Observation dbc6c66a-c730-4e82-a359-cac77b602749 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:33.631490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:28.983048Z digest=sha256:9a505ba3d4bd679fdda454466dad09532edf1022f9214d67ec4f9aafdec37f2b

Observation b517bc4f-1b46-468f-91a9-fdfab6b38312 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:33.316936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:29.104092Z digest=sha256:a728b4030bc8516e1b7f337e7b1eb783bfb8b796b1205c9c5262a28bc3c2f539

Observation 453db57a-0aa0-4f3b-be60-b68935fb3758 · outbound

This paper cites Schick, S.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Schick, S

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:33.028383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:29.239386Z digest=sha256:599b7d8328535cbac6f3aea79616c38186453b8b8ac5f9220f51eff5d11800ab

Observation 501eab59-0afd-44a5-bbee-edc45d6ffc6a · outbound

This paper cites Stockmann.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Stockmann

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:32.779508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:29.373222Z digest=sha256:162b55e479f2ff6544619e2f6b821f95a455c613b70d690c67990c29ee6e8606

Observation a1858d69-676d-473d-a590-a602f81280a3 · outbound

This paper cites Tobin and C.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Tobin and C

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:32.476713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:29.526019Z digest=sha256:087fce1db3ac52d101f36c501cc9cd667a3c029552dba00d0002e96c34b5ad81

Observation e55235eb-be27-4708-b652-f399230b4516 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:32.024974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:29.772047Z digest=sha256:20d8d8dced79d0391d2819083f7e7bf0f0d6c406b8877342aca4a395fc16dd9b

Observation f4a8a6d9-4f50-421f-85bd-4592a8a9c1a6 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:29.876963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:29.876963Z digest=sha256:5d7fffcdf9af02e422cb50258fdcabd6fcbc5cd469f94f0baf6d5b8e0d3914b1

Observation 87da64e4-ed02-48b2-a16a-fe4eeb21670f · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:31.820537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:30.017014Z digest=sha256:15a86c3603751051a7fd818471f1bfb410747a3a0cc3831a438d1fd52888f18c

Observation 65e429c5-fa70-4eb6-ad6d-e4b6d686f6e0 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Ethical and social risks of harm from Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:30.128320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:30.128320Z digest=sha256:22c3a8d9ed9b2c7e3fe472d0d6b19ce97b17aaf81dead62b07d1bd3ee7dc3128

Observation de228aa4-0373-4bf4-84ee-b2958a79516d · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T00:58:31.633583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:30.232888Z digest=sha256:43be0d63b804f32533f9a8387ef92c84e4e21af0e58f62bfe0d6228ca3033b17

Observation 3a8be9a3-6491-4593-acba-9ae7cd2ed945 · outbound

This paper cites Zhao and D.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Zhao and D

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:31.371468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:30.351826Z digest=sha256:24ff3485db39921dce0cfe41df778b06f49ce42cf84ab209e66f7c4a1e116adb

Observation de49c894-08dd-4a41-9f33-0706251ea0d3 · outbound

This paper cites Zhu and K.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Zhu and K

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:31.175220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:30.475050Z digest=sha256:5b2d4a15b79bdd6fb904728756d6a7663dd1c0befd6159b6d0ffd75da0e62c40

Observation 43bd017a-830a-489a-bb9a-72ae6f4d53f3 · outbound

This paper cites Hong Kong protests,.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Hong Kong protests,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:58:30.997214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:30.629263Z digest=sha256:302155cf2b375dbca42a9b7f35a649205534ed30bffede995dcb558438980d43

Observation 252ed333-dcec-4a13-86e7-dfe7cbec9f95 · outbound

This paper cites an unresolved cited work.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Unresolved cited work

Reference 2025

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T00:58:32.279200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:58:29.663642Z digest=sha256:02f51cda016a3117bbd78dc1320d303c7930fa38406a50d68e6580c244dce5f0

Pith citing papers

Observation 11fe2095-c1b0-4565-a8d7-5759483bd6fe · inbound

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies cites this paper.

LLMs can persuade only psychologically susceptible humans on societal issues, via trust in AI and emotional appeals, amid logical fallacies Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-14T02:22:28.396574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:bfeb43917008903ff2f446aa8744fd06914929a691f3e1a81fc062070f81615b