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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:25.887983Z digest=sha256:3d3f057eec94aac30e23840b2430f2dea2d22bb9dea7360410b432c32c3b3097

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:25.969590Z digest=sha256:63fd8aed80211a5f686c53243bded9de308402d43976b67e9d53c98d218601ae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.047974Z digest=sha256:3b39fc561f78957489e003cc192ac0b1068f3474669be0284a96fabfa1a36b10

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.106377Z digest=sha256:e92986d30f1ffc0e59dc8c633ab58ae3e7bcd9ecd79ec998ce13fac3f2559542

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=sha256:577a0e4fbe2f1dbd1b536b6693aedb1dd88f7d0eb080b2b1e1d3593275554832

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.328092Z digest=sha256:de8c6d940a3309c50efa178602c70c0c8797e26edb01ae4bef2ce866005b8ec4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.437858Z digest=sha256:2bc9804da683c15a3999cba2ac6e6fa65e15d311c617a91251f1e3ed6184966b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.534917Z digest=sha256:95eaef1bf20b1642ef8e5221b6e2df1397f7c797f1cdcd263170d94a0b9e3c0e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.657721Z digest=sha256:48b36e1cdc24a4cda477a91fc5ce73881b8650054705a82ef587656487611318

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.768382Z digest=sha256:44e78dd356aa36978b2ab187529f39cacb999112de8f7c5f966272fe6da2dd4c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:26.831178Z digest=sha256:3e48d613a0a534ffb05ac96d82f1e8b1c6990dbdf0a327a765a0a5e14bdc4b12

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=sha256:61be5163bb09e5bf316f8e42ce8308d8b5b9d5a19b0764a394ae315e46a57583

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.049585Z digest=sha256:482559ac61e8ba6bc4489c1f3474812acff4ed8e74280abe5af9e72463031161

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.137932Z digest=sha256:f8a4789d62a0de20fa90d945050efe8691028a14c262082b42c2b2d6238c1b95

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.201894Z digest=sha256:207cee368acd9f3ab634c061666a96ebc82989f882557da128a7a7ad9159168e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.367903Z digest=sha256:42dafd8eea1b97d1288323147634d1f64803d9304e905d8dbcec8226b371d6b9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.558551Z digest=sha256:fff83ac0b4458262efbb4ae658bcf436f376863480a36a76879e507c38778692

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.705648Z digest=sha256:79bb11adee332de66814a664c09189582c5e8383d35436180c142f5f1ee3aef3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.855286Z digest=sha256:e424f0f251a7f2b99bc6e133a1891cf07f1b907a6cc6d60b5846a19cdc431fe2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:27.986697Z digest=sha256:a51f481bdd901336d5b843efcf1b9de73dad4f060a01307c025d153270d2d490

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:28.088826Z digest=sha256:34f7fbd3e0701ff1b386632072dbbcfe9dc70a904729bff1525cf82aa105a642

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:28.193323Z digest=sha256:6b12b23fe517018f0259f56c990a2426c2c0aa4b1db78402ff60148dc55ac834

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:bf0b45a6cef14365ac77467a5354e910cd1893d077fec0b3652fb2b470b3710d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:28.464438Z digest=sha256:7089e506e967ca11400d181defa0aa60f12252fdb5307c2cc0a11cc01d85bbc1

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:d29ff552d72a2ae8878b375bb69f95dcb4c76c8b631b85dd928316644cc870e8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:28.741672Z digest=sha256:9f81339ccbf68d11b9ade3c0404a40194cfe3577519f3330cc0a1b07155c334f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:28.800450Z digest=sha256:f095ca89812f8853262d2ebee3403b43dc0c64950c4762eba25af1ebfc2a7470

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:28.983048Z digest=sha256:fb63db4f742a88d9c3147bf078eb27a0fbfd5a678eb0abbdb9ea4f3bd6ba1b3f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:29.104092Z digest=sha256:74b5fcaf0a27e2fc491794b44b0b8c7b0de01e9158fb4deaeb2e832e817c0aee

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:29.239386Z digest=sha256:b2cd429bea3768f31a8bf45d7c45c3be1e988db257602654d334293b626b57f1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:29.373222Z digest=sha256:2e3b126a4a2adbd6a72ceca116def771bda81a633404e935e6be7307e5db5c32

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:29.526019Z digest=sha256:9d22dcd0e6f5760fae1a94d91f6ef554570ca77852ec5ecb84f2a66555ca5020

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:29.772047Z digest=sha256:5c87efcefd9a4881338069381f875b7f7f66f91de572b74032da1251d536be8d

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=sha256:7bf576eb5cec5f2286eb4a3adfef30818cc28d59c852dedea7b016f3547bf635

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:30.017014Z digest=sha256:f75fa5abdbf538fa5f43b264ffc5ca834cdd73a7d3920c608af4dbea8f8a6704

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=sha256:4e08dc03acd7d32af2d2d586bebd39bfee67b95c486bf5ed3852478022d26da4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:30.232888Z digest=sha256:2693d1da16e2c3a08bcaf8e75c915495259640fd7f9ff560a7f1ebb83a220e4d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:30.351826Z digest=sha256:59becb34d839076a1f81ba353f37610a0881278351f27ed918d0e81fd70ae0e4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:30.475050Z digest=sha256:b53e552a17f832219a72543e12db18e2141579a67117642da4b846969cb7e7f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:30.629263Z digest=sha256:cd1922936ce1170ddbc22adfd5055b4c69ac743a0a6947382d4b606301f8cc12

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:58:29.663642Z digest=sha256:5fe48fba8e0cf1d528511103f8ca2471e7b0509180ee8ebc68bcc74bd1774199

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T07:16:56.008139Z digest=sha256:cf57faf5acf27bb0a499714b0f3874ae59994cc02c888029b682ba5019ec58ae