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Paper Citation Record · LEDGER

Auditing Alignment Controllability in LLMs via Political Axes

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.23519.

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

pith.paper-citation-record.v1
2607.23519 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T20:24:35.725331Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved42
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98873016-a975-4fef-ab89-6d0e76d0e60c · outbound

This paper cites Social Sciences , volume =.

Auditing Alignment Controllability in LLMs via Political Axes Social Sciences , volume =

Reference 1

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source=arxiv_source observed=2026-07-30T20:24:32.936496Z digest=sha256:d1ee09493ac3e08f9a0aa572ebb365fab087d1e295bb1ac85e71ae00d66b57dd

Observation 6af6caa1-f4f9-4096-ab78-80a1198e91a4 · outbound

This paper cites PLOS ONE , volume =.

Auditing Alignment Controllability in LLMs via Political Axes PLOS ONE , volume =

Reference 2

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source=arxiv_source observed=2026-07-30T20:24:32.977650Z digest=sha256:d58bff6d7bd8ea02117efe8508e824720f5be1d0f7ce82d4ff53bb5014dff5b9

Observation 513de627-9fe4-4d36-99f7-4d8eeae2e729 · outbound

This paper cites 2023 , journal =.

Auditing Alignment Controllability in LLMs via Political Axes 2023 , journal =

Reference 3

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source=arxiv_source observed=2026-07-30T20:24:33.019544Z digest=sha256:ffccb8d210bb9b20aeee57cac4ccb661653060c7b3976d33f77cd2a957384de4

Observation fb21795f-8927-45aa-b002-266a28dac6be · outbound

This paper cites Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models , booktitle =.

Auditing Alignment Controllability in LLMs via Political Axes Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models , booktitle =

Reference 4

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source=arxiv_source observed=2026-07-30T20:24:33.056161Z digest=sha256:c3e198bff140ea6b053e90fb3686fb08458146d7177d46e4378524c74bf092f1

Observation a5a6fb33-a7dc-40d2-8597-d3aa8b364996 · outbound

This paper cites Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs , journal =.

Auditing Alignment Controllability in LLMs via Political Axes Beyond Prompt Brittleness: Evaluating the Reliability and Consistency of Political Worldviews in LLMs , journal =

Reference 5

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source=arxiv_source observed=2026-07-30T20:24:33.097066Z digest=sha256:1630b089494aeb107bdfa83d4a70a7bf263494e29442eee9467629b9c37307b8

Observation 8dba364b-9556-416e-8006-dc334ea4180c · outbound

This paper cites Journal of Information Technology & Politics , year =.

Auditing Alignment Controllability in LLMs via Political Axes Journal of Information Technology & Politics , year =

Reference 6

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source=arxiv_source observed=2026-07-30T20:24:33.161408Z digest=sha256:a8d78d20218bb3d01735b40480ef6049f22d4f934127da0bdba6f442ae819ed0

Observation 0278e938-f9a4-4c35-85da-b849d0b9b8e3 · outbound

This paper cites Political Ideology Shifts in Large Language Models.

Auditing Alignment Controllability in LLMs via Political Axes Political Ideology Shifts in Large Language Models

Reference 7

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source=arxiv_source observed=2026-07-30T20:24:33.198421Z digest=sha256:9910dd2a2ee90b28c4b0dd6d748aea8e91c0062c026463ec9ff053b4c8313ff5

Observation cc258b02-53b2-4bb1-8872-667379f727cf · outbound

This paper cites and others , title =.

Auditing Alignment Controllability in LLMs via Political Axes and others , title =

Reference 8

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source=arxiv_source observed=2026-07-30T20:24:33.235118Z digest=sha256:ad830f07195e0d81375a74918512f2899838023c41a4ca8ebeae058af175e560

Observation 2f6bda71-36c2-424f-b8a3-5ef03df4643a · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Auditing Alignment Controllability in LLMs via Political Axes International Conference on Learning Representations (ICLR) , year =

Reference 9

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source=arxiv_source observed=2026-07-30T20:24:33.272075Z digest=sha256:0daf386725c594646b0570cf3be00140ca40deb22e7cae401615778212b4c530

Observation d4ec92ef-d779-46fa-93ef-934a97a397b9 · outbound

This paper cites Findings of the Association for Computational Linguistics (ACL Findings) , year =.

Auditing Alignment Controllability in LLMs via Political Axes Findings of the Association for Computational Linguistics (ACL Findings) , year =

Reference 10

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source=arxiv_source observed=2026-07-30T20:24:33.310501Z digest=sha256:21814432df097a1dcd5b07bc5a9fb34b4266b10e9d2b20b7b868080aeef6883a

Observation b1dd7f2b-29f7-4e5e-8e93-ade54ea3a5de · outbound

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

Auditing Alignment Controllability in LLMs via Political Axes International Conference on Machine Learning (ICML) , year =

Reference 11

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source=arxiv_source observed=2026-07-30T20:24:33.353786Z digest=sha256:2448b355fb06f51c418d53ee52d5f35f41c9193b6ddac9359aef669792091cdc

Observation 3cbbeed7-90b8-4599-b2aa-01df9937d8f7 · outbound

This paper cites Proceedings of NAACL , pages =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of NAACL , pages =

Reference 12

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source=arxiv_source observed=2026-07-30T20:24:33.393218Z digest=sha256:af00138b8d6b2817daf8bbca70e9fd4b8bc84dfef4f5958782dd7aa3c7c088ff

Observation 41b55c69-6ea4-4c8d-8e67-acebe171c750 · outbound

This paper cites 2025 , editor =.

Auditing Alignment Controllability in LLMs via Political Axes 2025 , editor =

Reference 13

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source=arxiv_source observed=2026-07-30T20:24:33.433985Z digest=sha256:fec471b8e1fed80172627dd28dbadef2c89657c51657de9fe4d3e5b4db8207d8

Observation 07386566-29d4-4874-b18d-1ad62bae7f4f · outbound

This paper cites Proceedings of CHI , year =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of CHI , year =

Reference 14

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source=arxiv_source observed=2026-07-30T20:24:33.472356Z digest=sha256:05b5ec0cf1464d9453aaee8483a55feffcbdfc23ea9a83b493b3e1fe4e3518e4

Observation a9901c01-dec6-4475-95e5-5d8950cc5874 · outbound

This paper cites Science , volume=.

Auditing Alignment Controllability in LLMs via Political Axes Science , volume=

Reference 15

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source=arxiv_source observed=2026-07-30T20:24:33.515929Z digest=sha256:d551e0bb77e006e2a364caacc8a45399d43f639cae92462574302c8ec7eb5f99

Observation de3d2a86-3402-4376-9642-50453e11ab2a · outbound

This paper cites When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth.

Auditing Alignment Controllability in LLMs via Political Axes When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological Depth

Reference 16

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source=arxiv_source observed=2026-07-30T20:24:33.555587Z digest=sha256:6fbcc273b16dd46f9d4c3a103894d45af20ad897ab26dbf9d84c474f8b9c74f3

Observation 55c3a176-a1e7-4910-9b28-df1069eeb0d4 · outbound

This paper cites and others , title =.

Auditing Alignment Controllability in LLMs via Political Axes and others , title =

Reference 17

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source=arxiv_source observed=2026-07-30T20:24:33.595921Z digest=sha256:38c87eaf7abd47a18c513384f1365e2303f57900091a7efe6c362da28f048712

Observation 33ec3411-63d5-433a-a616-37bed68f985c · outbound

This paper cites Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts.

Auditing Alignment Controllability in LLMs via Political Axes Large Language Models are often politically extreme, usually ideologically inconsistent, and persuasive even in informational contexts

Reference 18

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source=arxiv_source observed=2026-07-30T20:24:33.659506Z digest=sha256:6276b697aa1cd4f98be688e23ca4cd339b0e74984c22f9e530ecebda5c2c0fcb

Observation ae43365b-1ccd-4256-b2dc-bc8a08cbaead · outbound

This paper cites Proceedings of the International Conference on Machine Learning (ICML) , year =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the International Conference on Machine Learning (ICML) , year =

Reference 19

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source=arxiv_source observed=2026-07-30T20:24:33.727815Z digest=sha256:4a543f304ccd49cc2d5d8ca945baa4e1b66191ace81fed30b591c1efb9e9d0f5

Observation a60fc7a4-961b-44f4-807b-296e20968a8a · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , pages =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , pages =

Reference 20

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source=arxiv_source observed=2026-07-30T20:24:33.797838Z digest=sha256:f176bb54fe0f044750ec3fe1fd10ff9390c6115f76304895943239cf040cd3f0

Observation c3c738e0-7fbb-4646-94a6-2a7e9ee0e3a9 · outbound

This paper cites Proceedings of NAACL , year =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of NAACL , year =

Reference 21

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source=arxiv_source observed=2026-07-30T20:24:33.867794Z digest=sha256:96586d93f98f7c0c6f0048254a169fbfd0f9dcfc7b41e6c72f23324d23d5e94b

Observation bf0aba5d-48a9-4ffa-b018-e2667012139f · outbound

This paper cites arXiv preprint arXiv:2505.23816 , year =.

Auditing Alignment Controllability in LLMs via Political Axes arXiv preprint arXiv:2505.23816 , year =

Reference 22

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source=arxiv_source observed=2026-07-30T20:24:33.938305Z digest=sha256:c5915bfac34a94fe1ba7fa5d11f0e83b73b6d6f20b6e238cfb6d5487999c5caa

Observation 31fe857e-6f65-412a-87b1-4de9d8a0223b · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Auditing Alignment Controllability in LLMs via Political Axes International Conference on Learning Representations (ICLR) , year =

Reference 23

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source=arxiv_source observed=2026-07-30T20:24:34.036543Z digest=sha256:4696d13e6cffd44cacab2f0403e78535faccd3c2cc74f83af1a11aabfa1da41a

Observation f68e8c62-70a3-47df-862b-d74b343d6997 · outbound

This paper cites an unresolved cited work.

Auditing Alignment Controllability in LLMs via Political Axes Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-07-30T20:24:34.107368Z digest=sha256:001873f2f5e71e645cc6a1a6be0b268981dbede3b3ea4c1581d1f82fdee9285a

Observation c494a06d-50ce-4443-bfe6-acacafdf0fd9 · outbound

This paper cites an unresolved cited work.

Auditing Alignment Controllability in LLMs via Political Axes Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-07-30T20:24:34.194740Z digest=sha256:e91c7b6005413511f682f00b7d04fa7b1acee3121bb98ff071fcd7a5c6830b41

Observation a5fc238c-1bbe-404e-8a36-9f9a66ec04b3 · outbound

This paper cites Nature Machine Intelligence , volume =.

Auditing Alignment Controllability in LLMs via Political Axes Nature Machine Intelligence , volume =

Reference 26

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source=arxiv_source observed=2026-07-30T20:24:34.248140Z digest=sha256:40b8c9dcdaa98b63ab5ff712915e008805869e5a3b67b2ec510cd904fcaec23c

Observation 80a87271-bdb8-4c7a-b122-774fecc0314d · outbound

This paper cites Findings of the Association for Computational Linguistics: NAACL 2025 , pages=.

Auditing Alignment Controllability in LLMs via Political Axes Findings of the Association for Computational Linguistics: NAACL 2025 , pages=

Reference 27

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source=arxiv_source observed=2026-07-30T20:24:34.327965Z digest=sha256:5633fed47c1936d4c3993faf08cf4ddb25b66eec53e6ae037758fba2fb547009

Observation f1c109a8-d1eb-4698-95bc-730be415e855 · outbound

This paper cites Generative.

Auditing Alignment Controllability in LLMs via Political Axes Generative

Reference 28

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source=arxiv_source observed=2026-07-30T20:24:34.386296Z digest=sha256:7a0ece85ae96c7ea82091c3a460dba06dd197da0b30e64589f30b380d32245f6

Observation 92c9d99d-4265-491c-9621-8160b52b1158 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the National Academy of Sciences , volume =

Reference 29

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source=arxiv_source observed=2026-07-30T20:24:34.456071Z digest=sha256:508be3232d6491b4cf61c47fbad42cd704e84190b88aded6c53bd0f972e3d896

Observation 9926f6dc-6370-41e9-ab17-7aa3a459ccbe · outbound

This paper cites Proceedings of EMNLP , pages =.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of EMNLP , pages =

Reference 30

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source=arxiv_source observed=2026-07-30T20:24:34.520460Z digest=sha256:389a8731075f73177cbdda74efed906ed4ef026fd2975230641696ad4225835c

Observation d6bf9c6d-d199-47a6-9745-822c68bda407 · outbound

This paper cites Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study.

Auditing Alignment Controllability in LLMs via Political Axes Bilingual Bias in Large Language Models: A Taiwan Sovereignty Benchmark Study

Reference 31

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source=arxiv_source observed=2026-07-30T20:24:34.634549Z digest=sha256:5461fcdb3b8534cfb210ca812418a14c80543b579c1c87c8824cde02d25bf87e

Observation 5f40c340-2007-436b-ad38-6eb876905e65 · outbound

This paper cites an unresolved cited work.

Auditing Alignment Controllability in LLMs via Political Axes Unresolved cited work

Reference 32

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no resolver link, observed 2026-07-30T20:24:34.697866Z

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source=arxiv_source observed=2026-07-30T20:24:34.697866Z digest=sha256:8173709a8b361ca77a682730195342ff1c5f4c65430c16031f0d930b51106d79

Observation 363af948-bed3-4346-960d-9963c07ce525 · outbound

This paper cites 2024 , eprint=.

Auditing Alignment Controllability in LLMs via Political Axes 2024 , eprint=

Reference 33

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source=arxiv_source observed=2026-07-30T20:24:34.787205Z digest=sha256:a51a9951cf01cc43b1199d54a51041795471cfc784d8b032723fd8f9caff9e1a

Observation 7cfc48dd-22d8-4e7b-9c15-05da129ecfcd · outbound

This paper cites 2024 , eprint=.

Auditing Alignment Controllability in LLMs via Political Axes 2024 , eprint=

Reference 34

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source=arxiv_source observed=2026-07-30T20:24:34.897520Z digest=sha256:840f94f2357761d3932323b5f3c6243b0b6f3bbbda29aeb20f5b53b4df367085

Observation e25ecac9-1d09-4de9-8559-7956b657f11a · outbound

This paper cites 2025 , eprint=.

Auditing Alignment Controllability in LLMs via Political Axes 2025 , eprint=

Reference 35

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source=arxiv_source observed=2026-07-30T20:24:34.955020Z digest=sha256:203103a63ff72d98bfdef7fd7234947d7b00d24a925a7bc4c705fc679460300f

Observation 8659d1c8-1e5b-407f-8898-beedc8d99cd3 · outbound

This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=

Reference 36

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source=arxiv_source observed=2026-07-30T20:24:35.027274Z digest=sha256:5feccf3039d958d743cbc2cefefa66dba5f8f03bdaf33a51a6932bc124f2908f

Observation f6593187-129d-4285-842e-d40891cff9e4 · outbound

This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=

Reference 37

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doi, observed 2026-07-30T20:25:54.751039Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-30T20:24:35.100970Z digest=sha256:dd29e0ac67d6748b6affdc52bdc11a4c8ebd1ec724ddf9079d397586b467e427

Observation cad3ded5-7e87-4c7e-b76c-2511555404c7 · outbound

This paper cites Nature , volume=.

Auditing Alignment Controllability in LLMs via Political Axes Nature , volume=

Reference 38

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source=arxiv_source observed=2026-07-30T20:24:35.165326Z digest=sha256:7cec4dd7a438605885d7e83e114624db6b21d8012f477072623d124d749427db

Observation 62743a23-e68a-4f54-b3c2-25bbb5b5462f · outbound

This paper cites and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher , booktitle=.

Auditing Alignment Controllability in LLMs via Political Axes and Moazam, Hanna and Miller, Heather and Zaharia, Matei and Potts, Christopher , booktitle=

Reference 39

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no resolver link, observed 2026-07-30T20:24:35.234715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:24:35.234715Z digest=sha256:f577131de5689e15e0666d20be5eea134c40fca52935b3ecf9110109a8602931

Observation 951c0b64-32a3-44c3-a6c3-2cbe723c93df · outbound

This paper cites Personalization of Large Language Models: A Survey.

Auditing Alignment Controllability in LLMs via Political Axes Personalization of Large Language Models: A Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-30T20:24:35.325557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:24:35.325557Z digest=sha256:3362500ff359860b55a71e931a4b4168033864c2198e1132dae4b9439e706fed

Observation b660b258-3c85-4804-af88-18fe3f70a2e4 · outbound

This paper cites Auditing Alignment Controllability in.

Auditing Alignment Controllability in LLMs via Political Axes Auditing Alignment Controllability in

Reference 41

Resolution
verified exact
doi, observed 2026-07-30T20:25:54.551001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-30T20:24:35.412937Z digest=sha256:0b60052c8d8fb16ba4e47125eedbfee743422089c44d4a6cf95fc7e07df33658

Observation 969d9488-8cce-4e95-a9e7-a0318ad4f9d4 · outbound

This paper cites , journal=.

Auditing Alignment Controllability in LLMs via Political Axes , journal=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-30T20:24:35.504356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:24:35.504356Z digest=sha256:ec080644a9a1146f1fcfda48f2c0e9ab134e5f71f1545b53330a1513835d5b2f

Observation 20483563-1ecd-49d5-adc4-dcc198350e9c · outbound

This paper cites The Effortless Trap: Productive Struggle,.

Auditing Alignment Controllability in LLMs via Political Axes The Effortless Trap: Productive Struggle,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-30T20:24:35.609628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:24:35.609628Z digest=sha256:8bcdda63686badc14c219d120bd663faddb582f96541d6edabb28a8f5eb89c89

Observation b1163e15-c1ed-4029-9fe9-b9e4c49884ba · outbound

This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-30T20:24:35.683538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:24:35.683538Z digest=sha256:bd6cfbb4c76de41f720451a235353c64502d3e27326cfa56be5c53d1edbe1b7d

Observation 2595b9b9-f086-485c-aa4f-0a2a904927f0 · outbound

This paper cites Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=.

Auditing Alignment Controllability in LLMs via Political Axes Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society , author=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-30T20:24:35.725331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T20:24:35.725331Z digest=sha256:971db6cd28e21f7a80f6c799333599552b5617f1f431e9ac5c0365f9d94a14af

Pith citing papers

No inbound Pith citation observations are available.