Paper Citation Record · LEDGER

What Is The Political Content in LLMs' Pre- and Post-Training Data?

As of 6 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2509.22367.

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

pith.paper-citation-record.v1
2509.22367 v2

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T12:36:48.153588Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:03:16.344541Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T12:36:56.328865Z

Reference resolution

53 of 53 outbound references displayed

verified exact31
verified fuzzy14
unresolved1
parse uncertain0
malformed identifier1
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32a36838-15a6-4562-8023-75648eb8e2fd · outbound

This paper cites GPT-4 Technical Report.

What Is The Political Content in LLMs' Pre- and Post-Training Data? GPT-4 Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:41:22.948863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5567d556-0db5-4a37-a7a7-a7a7d1cb27ea · outbound

This paper cites Towards tracing knowledge in language models back to the training data.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Towards tracing knowledge in language models back to the training data

Reference 2

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.468379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation abc9572d-a15d-4079-aa56-092b6e9a09d3 · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

What Is The Political Content in LLMs' Pre- and Post-Training Data? The claude 3 model family: Opus, sonnet, haiku

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.253947Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation df77ad38-1d03-44f4-9f99-24b9496771fc · outbound

This paper cites Voelkel, Shane Muldowney, Johannes C.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Voelkel, Shane Muldowney, Johannes C

Reference 4

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.455294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation eae4e32d-6c2d-47eb-a08f-a5d50a13421e · outbound

This paper cites Digital speech and democratic culture: A theory of freedom of expression for the information society.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Digital speech and democratic culture: A theory of freedom of expression for the information society

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.251679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d0f4c618-72d1-4e38-9ae7-f905bbb6e99f · outbound

This paper cites In: Che W, Nabende J, Shutova E, et al (eds) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

What Is The Political Content in LLMs' Pre- and Post-Training Data? In: Che W, Nabende J, Shutova E, et al (eds) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 6

Resolution: metadata mismatch; doi, observed 2026-05-18T12:41:22.490690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 58db4c0e-bfe9-4cda-ac8c-7f71e1f2416b · outbound

This paper cites Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLM s.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLM s

Reference 7

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.448459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a8319e3c-0401-427e-9221-f3c4925d4e52 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:41:22.918427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e240e4ca-82a1-44de-bdc3-aef72845c6e1 · outbound

This paper cites What’s in my big data? In Proceedings of the 12th International Conference on Learning Representations (ICLR 2024).

What Is The Political Content in LLMs' Pre- and Post-Training Data? What’s in my big data? In Proceedings of the 12th International Conference on Learning Representations (ICLR 2024)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.235687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22fc4d4f-1845-408d-8978-7ea5e72b1f21 · outbound

This paper cites From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? From pretraining data to language models to downstream tasks: Tracking the trails of political biases leading to unfair NLP models

Reference 10

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.465412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7d2fe9f8-ea3f-425d-8100-dd46d48aa393 · outbound

This paper cites On the relationship between truth and political bias in language models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? On the relationship between truth and political bias in language models

Reference 11

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.501648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a82fdae-d65d-4b4f-883f-890ee77a7eab · outbound

This paper cites Word embeddings quantify 100 years of gender and ethnic stereotypes.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Word embeddings quantify 100 years of gender and ethnic stereotypes

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.238370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb8d310d-92ed-4363-8ef2-83ee2566d33c · outbound

This paper cites Hill J, Perrett G, Dorie V.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Hill J, Perrett G, Dorie V

Reference 13

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.461628Z

Source-reported events for the cited work

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Observation 020966e2-2d6f-422f-a53a-3cd5252c16a8 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

What Is The Political Content in LLMs' Pre- and Post-Training Data? BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:41:22.940075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc07cc44-0160-419f-977b-79007f05399a · outbound

This paper cites Evaluating the persuasive influence of political microtargeting with large language models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Evaluating the persuasive influence of political microtargeting with large language models

Reference 15

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.441808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8a9c1b6a-7047-4500-8f39-f9aacc4af56c · outbound

This paper cites On the Inevitability of Left-Leaning Political Bias in Aligned Language Models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? On the Inevitability of Left-Leaning Political Bias in Aligned Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-24T00:23:04.188264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 90ae5e2a-4b74-44d4-afa3-97c1d78e4c4f · outbound

This paper cites The Political Ideology of Conversational AI: Converging Evidence on ChatGPT's Pro-environmental, Left-libertarian Orientation.

What Is The Political Content in LLMs' Pre- and Post-Training Data? The Political Ideology of Conversational AI: Converging Evidence on ChatGPT's Pro-environmental, Left-libertarian Orientation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.226874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2f64658c-528d-48b6-bd51-349f5a93cc30 · outbound

This paper cites Fair Classification with Group-Dependent Label Noise.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Fair Classification with Group-Dependent Label Noise

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:41:22.438392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb5f8f6c-562e-43ae-8a7e-8e0d367e9884 · outbound

This paper cites C ommunity LM : Probing partisan worldviews from language models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? C ommunity LM : Probing partisan worldviews from language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.229516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5b73fe14-63c2-4979-b4e8-47f6de00b859 · outbound

This paper cites Challenges and Applications of Large Language Models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Challenges and Applications of Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.896613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2087b294-e4ba-4444-be67-cd13dbb00bbe · outbound

This paper cites Datacomp-lm: In search of the next generation of training sets for language models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Datacomp-lm: In search of the next generation of training sets for language models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.256199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 792f2ea3-8ae0-4199-98a0-440bb07772d8 · outbound

This paper cites A pretrainer ' s guide to training data: Measuring the effects of data age, domain coverage, quality, & toxicity.

What Is The Political Content in LLMs' Pre- and Post-Training Data? A pretrainer ' s guide to training data: Measuring the effects of data age, domain coverage, quality, & toxicity

Reference 22

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.471863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22f837d5-5036-40f3-9581-86d81969cb1c · outbound

This paper cites Conversational AI increases political knowledge as effectively as self-directed internet search.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Conversational AI increases political knowledge as effectively as self-directed internet search

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:41:22.907631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4d1fe6f-0bd3-4750-a54d-ab6fc4dca52b · outbound

This paper cites Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, and Asli Celikyilmaz.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, and Asli Celikyilmaz

Reference 24

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.507578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e604d65e-cab6-457f-b677-0f04248b9c58 · outbound

This paper cites Model Cards for Model Reporting.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Model Cards for Model Reporting

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:41:22.481649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 701d2a35-d69d-402e-ba9b-ac91189a2e86 · outbound

This paper cites More human than human: Measuring ChatGPT political bias.

What Is The Political Content in LLMs' Pre- and Post-Training Data? More human than human: Measuring ChatGPT political bias

Reference 26

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.458975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 154593ab-9fe3-4238-a247-596be1273e4c · outbound

This paper cites Multilingual estimation of political-party positioning: From label aggregation to long-input transformers.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Multilingual estimation of political-party positioning: From label aggregation to long-input transformers

Reference 27

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.520654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad9508ac-8c82-4daf-8451-f3c0d5a024a3 · outbound

This paper cites Deep ignorance: Filtering pretraining data builds tamper-resistant safeguards into open-weight LLMs.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Deep ignorance: Filtering pretraining data builds tamper-resistant safeguards into open-weight LLMs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.931162Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f245162-ca3b-4942-b3bd-8cba76104630 · outbound

This paper cites 2 OLMo 2 Furious.

What Is The Political Content in LLMs' Pre- and Post-Training Data? 2 OLMo 2 Furious

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:41:22.902556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d7a0995b-ac1b-487c-b948-a90d4d665be2 · outbound

This paper cites In: Bouamor H, Pino J, Bali K (eds) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing.

What Is The Political Content in LLMs' Pre- and Post-Training Data? In: Bouamor H, Pino J, Bali K (eds) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Reference 30

Resolution: metadata mismatch; doi, observed 2026-05-18T12:41:22.487559Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fe0c4967-ad9c-46c1-87b5-1cdc63692c5e · outbound

This paper cites The ROOTS search tool: Data transparency for LLM s.

What Is The Political Content in LLMs' Pre- and Post-Training Data? The ROOTS search tool: Data transparency for LLM s

Reference 31

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.517845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0ce957d9-257f-40f5-985b-42bc1ebb3bf8 · outbound

This paper cites GAIA search: Hugging face and pyserini interoperability for NLP training data exploration.

What Is The Political Content in LLMs' Pre- and Post-Training Data? GAIA search: Hugging face and pyserini interoperability for NLP training data exploration

Reference 32

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.523908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6d5a8950-475d-430f-be0c-e337456c2d9e · outbound

This paper cites doi: 10.18653/v1/2024.emnlp-main.244.

What Is The Political Content in LLMs' Pre- and Post-Training Data? doi: 10.18653/v1/2024.emnlp-main.244

Reference 33

Resolution: metadata mismatch; doi, observed 2026-05-18T12:41:22.498639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1cc0d655-d095-4a2a-9c81-9dd71cf266b1 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.226523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f55a31fa-5846-45b8-af93-7ea3528bffca · outbound

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

What Is The Political Content in LLMs' Pre- and Post-Training Data? Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Reference 35

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.474994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f8b3ec82-2c85-4c8e-b70d-47046722099f · outbound

This paper cites IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance.

What Is The Political Content in LLMs' Pre- and Post-Training Data? IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.913056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2470807e-8cde-4660-8c2f-ee723f7ed4e5 · outbound

This paper cites The self-perception and political biases of ChatGPT.Human Behavior and Emerging Technologies.

What Is The Political Content in LLMs' Pre- and Post-Training Data? The self-perception and political biases of ChatGPT.Human Behavior and Emerging Technologies

Reference 37

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.504744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2b7ab47f-784f-40b5-9041-0d0dd2941ec1 · outbound

This paper cites On the conversational persuasiveness of gpt-4.

What Is The Political Content in LLMs' Pre- and Post-Training Data? On the conversational persuasiveness of gpt-4

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.232634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0b765e81-8e08-40d3-8b48-57c71b1a0039 · outbound

This paper cites Gender bias in machine translation.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Gender bias in machine translation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.223542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5daf1b43-0ab7-47be-a0c9-55f698ea6c89 · outbound

This paper cites Analysis of linguistic features in right-wing extremist discourse.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Analysis of linguistic features in right-wing extremist discourse

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.240955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8e8e6ec8-b358-4d09-8250-a9c23514e333 · outbound

This paper cites Vera Liao, and Ziang Xiao.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Vera Liao, and Ziang Xiao

Reference 41

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:41:22.495255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 84325c61-fbdc-4dc5-9787-dfe0187e6bce · outbound

This paper cites Aligning large language models with diverse political viewpoints.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Aligning large language models with diverse political viewpoints

Reference 42

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.484586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8d289e8a-c774-4883-87a6-de5340a600a0 · outbound

This paper cites Roberts, and Mathias Allemand.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Roberts, and Mathias Allemand

Reference 43

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.514751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5d0eacae-402f-428e-a49f-0e728427864f · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.216946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0f97957d-08f0-4fce-ab5c-f9ae2cc08a7e · outbound

This paper cites an unresolved cited work.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Unresolved cited work

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.512091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 36e2ea62-4e87-4c3c-b82d-e4b7269e8710 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 46

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.452447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 95267132-09f3-470a-bc87-44fac449fef8 · outbound

This paper cites Do political opinions transfer between western languages? an analysis of unaligned and aligned multilingual llms.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Do political opinions transfer between western languages? an analysis of unaligned and aligned multilingual llms

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:41:22.953481Z

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Observation d33d67dc-d798-49cc-8fcc-5a436c287cc8 · outbound

This paper cites Better aligned with survey respondents or training data? unveiling political leanings of LLM s on U.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Better aligned with survey respondents or training data? unveiling political leanings of LLM s on U

Reference 48

Resolution: verified exact; doi, observed 2026-05-18T12:41:22.445282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 09cb0f2c-380e-4540-bf8c-326612348e95 · outbound

This paper cites Qwen3 Technical Report.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Qwen3 Technical Report

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-05-18T12:41:22.935807Z

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Observation d2e8352c-cc5c-48af-a8af-775527234444 · outbound

This paper cites write newline.

What Is The Political Content in LLMs' Pre- and Post-Training Data? write newline

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.247280Z

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Observation 45f5cbd2-ba50-439d-b180-fd450c55a1ac · outbound

This paper cites @esa (Ref.

What Is The Political Content in LLMs' Pre- and Post-Training Data? @esa (Ref

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-18T12:42:38.249361Z

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Observation e365c207-2358-420e-bf09-140420af0502 · outbound

This paper cites an unresolved cited work.

What Is The Political Content in LLMs' Pre- and Post-Training Data? Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-05-18T12:42:38.243534Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 62d7e044-1ea5-40c0-825c-a5bae46b936e · outbound

This paper cites o k w v0 g.

What Is The Political Content in LLMs' Pre- and Post-Training Data? o k w v0 g

Reference 53

Resolution: malformed identifier; arxiv_id, observed 2026-05-18T12:41:22.926780Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 5b9c5317-f75f-4207-843b-f7b79897c25d · inbound

Large Language Models are Perplexed by some Political Parties cites this paper.

Large Language Models are Perplexed by some Political Parties What Is The Political Content in LLMs' Pre- and Post-Training Data?

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:36:56.330290Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.