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Paper Citation Record · LEDGER

Auditing Alignment Controllability in LLMs via Political Axes

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:28840e8b652b31cf8549d401d251b6e4d1820cc94cdd589db41d145b311628d3

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=sha256:6861480e0c60c1d85ca870aa09b090978417e16fda0c95d93173db7056dc546f

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:dcc264ccd4bb9443dac73c4599014747b69dc8942d3c6b880bf1dd18ce253e71

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=sha256:47a255ef10a083737aa3f19525b96ed6796a9fadc19411b093adb3a83bcf1999

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=sha256:0535f6b111e7e532e1e96af947f7fb6736a87ca8448b1c26f5a5404e9cf0adf5

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:a8aff9efd9a4a4e3be5bd9a6a31763de363baf15bbe68193b1ec21dfad75f0ac

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:ccbadeec809e6dd7956981a98267428d42294aa1816dd40b829c5fe88873f70d

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:d99fec74c8cb10158323979c5e00737b7f11cfd7610b0ecba85dbb32f9bc8a14

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=sha256:6fc15fb76b05ba5e7571e3a3802b227560c864365760759b458e25ad8cf73886

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=sha256:39308c4f754202c4fac58c006df4d880ff8433d7ccd5bfb25a3ca438673ce772

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=sha256:587dbaa9ea4eb690c86d8a94eeb608c559536f49e1ebae99fd38fdd9ac1e0290

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=sha256:63aa89343dc7bd7c0ae06d50747290aaf34f24526d147c69f4fe08e6feb2d3e0

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:b083628ee518706eadff75b4b5bf95aae2029c73e56e2972cbc9f3cb8eb44852

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:c705de67f2b7ad906142e665600e1ef9a3fc865776aad4defdd082e3ecd96532

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=sha256:28ae4b0b7122b4d04246c85a2d0c8be9825b34207c0a007a6d9745b1eeafe52a

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:e8bb2c9bd31908fdd9357c37675465a0a1a5923c567f802159c252409cc6da25

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:a56af0ca1567c5683b1e0f99a8c9fa804453edc646c97b8c5deb4ce70cbc08d1

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=sha256:6946698ca0028a572ed1bf12e2b6b851d49312dba1a9c2a48d5a2b30fe3f5ab2

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:d8fc0958292de3149ff2e536fbb5e80707c7eb45e80e988a291673ef5aace61e

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=sha256:86f2ea58149ec7e4514e3d4e42f64db5a1b86809a7b0185798e782a28fd235ec

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=sha256:0cc1f4bdf387d8e887afab35e80bd7ac80026e9429c07a542dc7cef7e56a3d48

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=sha256:7a6718c669394e6f97fc0705859e94bdc51c4613678464de3884a421310b7de0

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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no resolver link, observed 2026-07-30T20:24:34.036543Z

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source=arxiv_source observed=2026-07-30T20:24:34.036543Z digest=sha256:714c6c6ff235b9a060f74a96ee4d0af8dd30796492142b3a8163801d6a8c2348

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:c6bd27a6f173c9815e86da8a6d1fa592ea9c8f613fa82d186513d0d5310161e4

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:d16304b172263c729f2c14a5a1e7ac6f47058152e5dc46370fe5acb8be48fd90

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=sha256:249d1c47e8b379c2ac4eceabbfaa4175f947938c2a2e6077c87fc87d526f473c

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=sha256:1bb02c990024374087926c3a0eeb753ca1c56ad0cc22d20f4d1762e07eabed9a

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:df125ab0c16b2edc0191ebc9a841bbae92fbd6e95a028e49916707a0afe8fce1

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=sha256:36f6179ab3091a55ae75faffc4983329e3d673aba725053621b04774bacd22d4

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=sha256:81eb7d3589262e7bd64a8f415380cc6ed6772e1ef68db1ae48edd69b699f8093

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=sha256:6dde5a38b921192320744a61bd11331fc2a0598524696f46e3f0ff98ea28558f

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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source=arxiv_source observed=2026-07-30T20:24:34.697866Z digest=sha256:2f9dd6fb93aeae68ebd4a7acb65f4111b8296e49ce55991281eb968252960df1

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=sha256:7b5c2912d71c6e92d950c7d65c686ac8d3e05915467d0e3aa999eacac2d493f1

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=sha256:1ff14b66f2c3e481ba7e0d23da5eb82d7ba4671cd2effb2902fe6cf29547173a

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:cbde41b447f271f64019e2ce317e2ecbe53ccc45d5da97e4b970d9a29a15e8c0

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=sha256:5dd6d6476956a119d2e054e8c2d2d6aa93048ec1825f333b90cea6d2076884bd

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-30T20:24:35.100970Z digest=sha256:895bb1bda27f966627eb1839a2338e80b5c2f66c7e84e465f91a777341b60e35

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:d03327b5cf4392bb5869a6d90a97b9bd9d01c3b06529dbbed596add1695464b7

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:b475b1f9eee4cbb9ed7cf0d01c41a54d761dec1146609a417b60a4dc61bb2344

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=sha256:167f80d8bacadccc2ecd5ad21fd9e7a5b3e89b7cae40e20d0fd12d5e255b7cd0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-30T20:24:35.412937Z digest=sha256:5ba8bd22ce54d18f99018a0fa371ce58eeb8db4637303bac563a7e78d9ce39f3

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=sha256:2e86b590a3bf56a1d93adeb904653b7d08fc36d2b059f67c16f799767c0e758b

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=sha256:1d9b3ecc5a741afa2f81f9f1f317c7bc942c1b68e8933a623d151ae3a32111c6

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:f8d6c988f16cda8e548d539dc40938564f44e4ca15cb9722cc73430f4d0a7c92

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:c826394e95feb9c60fe4ae84e3a2d6d5c6f5f22a004de84c52383765f090fb80

Pith citing papers

No inbound Pith citation observations are available.