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Paper Citation Record · LEDGER

Quantifying Political Partisanship for Cross-Platform Analyses

As of 7 August 2026, this Paper Citation Record lists 100 of 203 outbound references and 0 inbound Pith citation observations for arXiv:2607.21842.

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

pith.paper-citation-record.v1
2607.21842 v1

Coverage vector

measured 100 of 203 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T06:35:55.207539Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

100 of 203 outbound references displayed

  • verified exact30
  • verified fuzzy0
  • unresolved68
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a80cd890-66e0-49ea-a544-a99c5df9a59c · outbound

This paper cites Proceedings of the first instructional conference on machine learning , volume=.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the first instructional conference on machine learning , volume=

Reference 1

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no resolver link, observed 2026-08-01T06:35:54.768025Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:54.768025Z digest=sha256:81ec3e1cb1963fc0aec65c6802f0676fd18a75a6922d13b1d32187862525304c

Observation 9b5e8e8c-6bba-475b-a0dc-8bb200e0a4c2 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Quantifying Political Partisanship for Cross-Platform Analyses Advances in Neural Information Processing Systems , volume=

Reference 2

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no resolver link, observed 2026-08-01T06:35:54.772659Z

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source=arxiv_source observed=2026-08-01T06:35:54.772659Z digest=sha256:18b7a25af6c7eb131c48421368da878313273e85a742adf73e87c70ce09fe8fe

Observation 79bd944f-d705-40d3-9e87-9b2aa103c345 · outbound

This paper cites GPT-4o System Card.

Quantifying Political Partisanship for Cross-Platform Analyses GPT-4o System Card

Reference 3

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source=arxiv_source observed=2026-08-01T06:35:54.776904Z digest=sha256:584377eda849b5224e57a7ee767d84fae0b17bb3a4742f42ead0f49d9700721d

Observation 8c0845b0-b17d-40a9-859b-0e3305bc40b0 · outbound

This paper cites Proceedings of the Second Workshop on NLP and Computational Social Science , pages=.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the Second Workshop on NLP and Computational Social Science , pages=

Reference 4

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source=arxiv_source observed=2026-08-01T06:35:54.782055Z digest=sha256:56a23a44d5ab2ba06fcf71421c0d91b1dd8db7ce4f784ad6df7bb70383ceba33

Observation 72567bcd-123e-4329-af12-9a47e5eeab78 · outbound

This paper cites Vaccines , volume=.

Quantifying Political Partisanship for Cross-Platform Analyses Vaccines , volume=

Reference 5

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source=arxiv_source observed=2026-08-01T06:35:54.786699Z digest=sha256:26e09e410d5a4e248168516533af00e3de30cb9ee49ae61c623132a2766cc5c3

Observation 1d67daf7-77ce-4edb-8907-8b2c66583f91 · outbound

This paper cites Proceedings of the ACM on Human-Computer Interaction , volume=.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the ACM on Human-Computer Interaction , volume=

Reference 6

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Unavailable: canonical work link unavailable.

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Observation be2e6f47-ddd0-4d7a-aedb-3bbf1ceb00a0 · outbound

This paper cites 2018 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM) , pages=.

Quantifying Political Partisanship for Cross-Platform Analyses 2018 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM) , pages=

Reference 7

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no resolver link, observed 2026-08-01T06:35:54.795860Z

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source=arxiv_source observed=2026-08-01T06:35:54.795860Z digest=sha256:2eb79efd43f8315b6c82cbb9ba1ae8bc78004997b04530eb20229b3cc8caed04

Observation 34de9050-dced-44c2-8e92-458f70d75e51 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 8

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verified exact
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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 970b6112-8cda-4606-a7da-387860ba6cf2 · outbound

This paper cites Annotation and.

Quantifying Political Partisanship for Cross-Platform Analyses Annotation and

Reference 9

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Observation a1f562c5-5b0a-47ea-ba54-ded74d1d3b91 · outbound

This paper cites it - Information Technology , author =.

Quantifying Political Partisanship for Cross-Platform Analyses it - Information Technology , author =

Reference 10

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 345d1078-00ef-4315-900e-2df03cf11091 · outbound

This paper cites Proceedings of the International AAAI Conference on Web and Social Media , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the International AAAI Conference on Web and Social Media , author =

Reference 11

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9b5b2cc5-8969-43f7-ae1b-7d59e5768b65 · outbound

This paper cites Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media.

Quantifying Political Partisanship for Cross-Platform Analyses Investigating Chain-of-thought with ChatGPT for Stance Detection on Social Media

Reference 12

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1afea514-4740-44d2-bce9-c4ba600537f5 · outbound

This paper cites Proceedings of the International AAAI Conference on Web and Social Media , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the International AAAI Conference on Web and Social Media , author =

Reference 13

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Observation 2ac85a50-9cbc-4b3f-924f-9aa99df833d1 · outbound

This paper cites IEEE Transactions on Computational Social Systems , author =.

Quantifying Political Partisanship for Cross-Platform Analyses IEEE Transactions on Computational Social Systems , author =

Reference 14

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Observation 596d3717-c96a-4dc6-8556-75e56fff4e9f · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 15

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Observation be39b96a-7188-4a9b-9aee-db19ecdfb077 · outbound

This paper cites Information Processing & Management , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Information Processing & Management , author =

Reference 16

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Observation 89f4b6c9-af14-4196-8e1f-6709113b3bb4 · outbound

This paper cites 2024 , pages =.

Quantifying Political Partisanship for Cross-Platform Analyses 2024 , pages =

Reference 17

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 23e14cfb-5c54-4683-9319-8a818f0eaf17 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 18

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Observation 7e17f998-3d56-4705-a2fc-624014f0299b · outbound

This paper cites Exploring the.

Quantifying Political Partisanship for Cross-Platform Analyses Exploring the

Reference 19

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Observation c2077a95-6f56-43fc-a5b0-8744b6153714 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology , author =.

Quantifying Political Partisanship for Cross-Platform Analyses ACM Transactions on Intelligent Systems and Technology , author =

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 950a2033-ff56-44f8-b3fe-eef9c8b5390a · outbound

This paper cites Reasoner.

Quantifying Political Partisanship for Cross-Platform Analyses Reasoner

Reference 21

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Observation 16710505-816c-4fff-8103-0e542df4f6cf · outbound

This paper cites How would Stance Detection Techniques Evolve after the Launch of ChatGPT?.

Quantifying Political Partisanship for Cross-Platform Analyses How would Stance Detection Techniques Evolve after the Launch of ChatGPT?

Reference 22

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7a8bf75e-4331-451d-8268-0d05f60726b7 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1afefd54-d26e-458b-a9d7-1f82b30cda8b · outbound

This paper cites Neural Computing and Applications , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Neural Computing and Applications , author =

Reference 24

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 979829c7-7788-4826-870e-47f0a055e807 · outbound

This paper cites A Survey of Stance Detection on Social Media: New Directions and Perspectives.

Quantifying Political Partisanship for Cross-Platform Analyses A Survey of Stance Detection on Social Media: New Directions and Perspectives

Reference 25

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Observation d6451636-81b1-407a-9e3c-6f5bc836ea09 · outbound

This paper cites Simple Open Stance Classification for Rumour Analysis.

Quantifying Political Partisanship for Cross-Platform Analyses Simple Open Stance Classification for Rumour Analysis

Reference 26

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b38ac337-3f75-44e5-a376-43872a424c81 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Predicting

Reference 27

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Observation 8b6bb928-f657-40de-8d85-3e7feedb5f6e · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 28

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Observation 019e243d-76d7-4e1c-b4d2-a990eb75ae67 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses 2024 , pages =

Reference 29

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3e4a8cc8-face-4fa6-acf3-c04469cd56d9 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Examining the

Reference 30

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Observation 4458cc87-5d42-4501-af28-09203d0c2b06 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Integrated or

Reference 31

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Quantifying Political Partisanship for Cross-Platform Analyses Large Language Models Meet NLP: A Survey

Reference 32

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local_arxiv, observed 2026-08-01T06:38:57.270141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9f1597fa-3077-425e-98df-ca054a829f3b · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Large Language Models: A Survey

Reference 33

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Observation fe2235a9-10f4-4753-890f-c59d138e02c7 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 34

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Quantifying Political Partisanship for Cross-Platform Analyses and Sap, Maarten , year =

Reference 35

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Observation 08f92b51-5d32-4ac7-bb8b-e0b6b9aaf829 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 36

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Observation c8ce7d54-ecc1-47d0-8952-1606e012155f · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the 16th

Reference 37

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 172cf92c-edb2-416d-aaea-1d1a2f1d9d82 · outbound

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Quantifying Political Partisanship for Cross-Platform Analyses Unfiltered

Reference 38

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 01678bea-0c5f-4b3c-bb93-32ff1350ae37 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:54.936027Z digest=sha256:52e8457902e87693e9c02a0fbe8038e0ae30833416c92ea70c25b3b588ea7f89

Observation 9fb25d6e-9772-4100-bda6-05e71e267c9c · outbound

This paper cites IEEE Data Descriptions , author =.

Quantifying Political Partisanship for Cross-Platform Analyses IEEE Data Descriptions , author =

Reference 40

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source=arxiv_source observed=2026-08-01T06:35:54.940734Z digest=sha256:0844ef476dfdc3c531cdc2fcb014804bb8b86cc4a580f7bde594163b63c5b998

Observation ca9ddb54-6044-4730-b0e2-03d41f2f930f · outbound

This paper cites Emergent: a novel data-set for stance classification , shorttitle =.

Quantifying Political Partisanship for Cross-Platform Analyses Emergent: a novel data-set for stance classification , shorttitle =

Reference 41

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source=arxiv_source observed=2026-08-01T06:35:54.947714Z digest=sha256:77a2331a4d451cff7e03078a4d79861ce796ca63e4d80b9a6e8da49e25926020

Observation 00121ad9-2d1e-46ee-a9ce-e0a30bde03dc · outbound

This paper cites PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels.

Quantifying Political Partisanship for Cross-Platform Analyses PolitiSky24: U.S. Political Bluesky Dataset with User Stance Labels

Reference 42

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metadata mismatch
local_arxiv, observed 2026-08-01T06:38:56.637689Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.953385Z digest=sha256:3800f39cdf533f8674b80276a60ffdd724aaf52a71a627679af6e3d0528e3ca7

Observation 21182b1d-a5e5-4fec-8c28-2ba6cf621d6b · outbound

This paper cites Politics and polarization on Bluesky.

Quantifying Political Partisanship for Cross-Platform Analyses Politics and polarization on Bluesky

Reference 43

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local_arxiv, observed 2026-08-01T06:38:56.428920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.958503Z digest=sha256:bf86ea7b51c377780dd63857c8affae9e68d03dfefe06f558b64cccb0398e4eb

Observation 39364a6e-1b82-4118-837c-ca14b6180ef8 · outbound

This paper cites Proceedings of the International AAAI Conference on Web and Social Media , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the International AAAI Conference on Web and Social Media , author =

Reference 44

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doi, observed 2026-08-01T06:38:56.212169Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.962946Z digest=sha256:b6ec7b77e1883fd71786147947ad4d02f682ee3851f61a725eec86dbb392697a

Observation f390e6e7-91b9-428d-a02f-d8f57e13ccda · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 45

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.967135Z digest=sha256:c43bf0e978f2674c032c1bd4d54c1d4608e7086b51a4140671ea362ca7127181

Observation 3bb6d72a-fd11-478c-89d8-5f2d5cf144d7 · outbound

This paper cites Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations.

Quantifying Political Partisanship for Cross-Platform Analyses Zero-Shot Stance Detection: A Dataset and Model using Generalized Topic Representations

Reference 46

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verified exact
local_arxiv, observed 2026-08-01T06:38:55.877309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.970907Z digest=sha256:dc6436794a37834738658a79203602dbcab34ea7c90cd0148753e0d50fb223f7

Observation 32472ad7-f72d-4d93-badc-065df26b7d0b · outbound

This paper cites PLOS ONE , author =.

Quantifying Political Partisanship for Cross-Platform Analyses PLOS ONE , author =

Reference 47

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source=arxiv_source observed=2026-08-01T06:35:54.975687Z digest=sha256:cf614539417d2bb319dbc6c12b878e6e6d70b5652f40863da8e8775edda31cce

Observation c1f450aa-36b3-441f-b051-1af0e5dbfa76 · outbound

This paper cites doi:10.5281/ZENODO.14653265 , abstract =.

Quantifying Political Partisanship for Cross-Platform Analyses doi:10.5281/ZENODO.14653265 , abstract =

Reference 48

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doi, observed 2026-08-01T06:38:55.660997Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.980463Z digest=sha256:0dd3d6f2dafee177f497b02f36a5f80331487daa82fd92da0c0c0f0b38f32159

Observation 4264a159-d7a2-41b6-9328-9a436729bbea · outbound

This paper cites Can Social Media Platforms Transcend Political Labels? An Analysis of Neutral Conservations on Truth Social.

Quantifying Political Partisanship for Cross-Platform Analyses Can Social Media Platforms Transcend Political Labels? An Analysis of Neutral Conservations on Truth Social

Reference 49

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local_arxiv, observed 2026-08-01T06:38:55.508762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.984695Z digest=sha256:725ee4325b6a74ce2268e95d97f6991e4df07a11f7eb21f21022e916adc8690b

Observation 24459069-975f-44c6-ab0a-75d415eab18c · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , author =.

Quantifying Political Partisanship for Cross-Platform Analyses IEEE Transactions on Neural Networks and Learning Systems , author =

Reference 50

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source=arxiv_source observed=2026-08-01T06:35:54.990866Z digest=sha256:cac11bcbe1a96cd312a2f9479a53c9b7998111f96fb9f739e451336b94ee1023

Observation 074c1b4d-8b3a-4fd8-a135-9f9ba56b9870 · outbound

This paper cites 2017 , pages =.

Quantifying Political Partisanship for Cross-Platform Analyses 2017 , pages =

Reference 51

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source=arxiv_source observed=2026-08-01T06:35:54.994933Z digest=sha256:19728a00538733165affea5abd642a8e2856fd3111a698d38cb5c6714275d9f1

Observation 0fd850f1-5c76-4761-ba31-e31b33476349 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-08-01T06:35:54.999083Z digest=sha256:7da59c161b841e14bff52b73d8fc8a6ce56fcfe5aded90d1ef6b5304510c01b2

Observation 16c38877-75ab-4bc3-bd1d-4eb82ae6f6ae · outbound

This paper cites Symmetry , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Symmetry , author =

Reference 53

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doi, observed 2026-08-01T06:38:55.380021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.003304Z digest=sha256:b7c0ccb71ac404436a7647d99b0f0e7e3ebb3b05072ec44d5d5d4afcd313c136

Observation 5413655f-b3f0-47d2-8cca-183eda3fca4c · outbound

This paper cites Behaviormetrika , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Behaviormetrika , author =

Reference 54

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doi, observed 2026-08-01T06:38:55.178271Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T06:35:55.007508Z digest=sha256:95ccfd629252e1d6aa04da547876b63931a3516f940fa1505e9e358fa5f3465c

Observation 4313f8c6-ed2d-41da-9ad5-b09a0dc17c08 · outbound

This paper cites Chain-of-.

Quantifying Political Partisanship for Cross-Platform Analyses Chain-of-

Reference 55

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T06:35:55.012179Z digest=sha256:07eb1ad5f504a70eb6d4ef088f39683786d3a4133ab1a4c59604333ef5b7d718

Observation f47c61ec-3a74-48cf-b7c7-d66d7e9b263b · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Quantifying Political Partisanship for Cross-Platform Analyses Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 56

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source=arxiv_source observed=2026-08-01T06:35:55.015974Z digest=sha256:53a2ec87f83de52d4475eecae685f37f9631ef92f4032e5eb8bb318af5725fa1

Observation f55e0b7f-b412-46a5-b5a3-9f6595715f64 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 57

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no resolver link, observed 2026-08-01T06:35:55.020004Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.020004Z digest=sha256:a0f8495df209d6a7b48f5cde105843da634e987bd17f57591eafb913a4c0fdb2

Observation a9e4399d-aaac-460c-9041-f71ed2f7a3c6 · outbound

This paper cites A Survey on Data Selection for Language Models.

Quantifying Political Partisanship for Cross-Platform Analyses A Survey on Data Selection for Language Models

Reference 58

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source=arxiv_source observed=2026-08-01T06:35:55.023719Z digest=sha256:9ee849d85147114c62ac4c5a9e26ce8f97335d3dfb30f5af501a10b789392ad4

Observation 672021bd-7eb9-47f8-b302-3854b847cabe · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

Quantifying Political Partisanship for Cross-Platform Analyses Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 59

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no resolver link, observed 2026-08-01T06:35:55.028416Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.028416Z digest=sha256:cc403808b2d0936bb3637d9724856165156428c65025c6fe2ecd963e83c2f76b

Observation d01f0b07-0c99-4cd8-b947-629e889bd400 · outbound

This paper cites Does Knowledge Distillation Really Work?.

Quantifying Political Partisanship for Cross-Platform Analyses Does Knowledge Distillation Really Work?

Reference 60

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.032378Z digest=sha256:15adcaae9a5696aa07d75d50588cfbfabeb1df5ba63cb9912ccf4f0f4b4a7637

Observation 26c3cd0b-58eb-4f5d-a4ae-0764f31b5b8d · outbound

This paper cites Neural Networks , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Neural Networks , author =

Reference 61

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.036353Z digest=sha256:69817b6b695d24d690dbc6305b489afa99d5e86d3b96f04f97fe694d65e9aa1e

Observation cd0dbd62-13fa-4d25-a422-614e150b7d2b · outbound

This paper cites Going deeper with convolutions , isbn =.

Quantifying Political Partisanship for Cross-Platform Analyses Going deeper with convolutions , isbn =

Reference 62

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no resolver link, observed 2026-08-01T06:35:55.040622Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.040622Z digest=sha256:02a4b848ac13fa7337eb699e5ae5484c1242a383ab551862b2a1b061693a727b

Observation c7040048-b98f-41f1-9ec9-bfc41700047e · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 63

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.044811Z digest=sha256:8dd7609817b87295673392b9393f07ffe3d5c31cedd1c9e65d307601f32570ed

Observation 2220eb5b-fd10-4afc-ab4b-9752999d534a · outbound

This paper cites Compressing.

Quantifying Political Partisanship for Cross-Platform Analyses Compressing

Reference 64

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no resolver link, observed 2026-08-01T06:35:55.048559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.048559Z digest=sha256:60be9d6519377fd9a5c9521b3c0e29f7d23c04733c595675d387f8492dcb8fca

Observation 8a9c3b08-6003-4f24-96fe-ecff1685b2dc · outbound

This paper cites Importance Estimation for Neural Network Pruning.

Quantifying Political Partisanship for Cross-Platform Analyses Importance Estimation for Neural Network Pruning

Reference 65

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no resolver link, observed 2026-08-01T06:35:55.052943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.052943Z digest=sha256:2f1f6c89279a11f0d7964d752e53e2e3a1ad488ab85fa3f2f051d0de5d152d1c

Observation f1a5e1a4-8362-47d8-9ac1-6312e147f819 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Quantifying Political Partisanship for Cross-Platform Analyses Distilling the Knowledge in a Neural Network

Reference 66

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no resolver link, observed 2026-08-01T06:35:55.057143Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.057143Z digest=sha256:d88a840e15325e4c4c776c3cf833eec737cf5d43692d81cab082691101657c5d

Observation 337ebf65-6bc0-4223-abcb-6d2e9f2790fb · outbound

This paper cites Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy.

Quantifying Political Partisanship for Cross-Platform Analyses Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy

Reference 67

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verified exact
local_arxiv, observed 2026-08-01T06:38:54.841126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.061787Z digest=sha256:00c25cc0c68eca62e5c3d6414966d0b09b38858894af0e0fa10d97ea0083c9c6

Observation de941c6d-1cd2-469c-850b-268288b697fa · outbound

This paper cites Language.

Quantifying Political Partisanship for Cross-Platform Analyses Language

Reference 68

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.066695Z digest=sha256:d8bc1a830390b12ec963278b993ca0f0325b2be29511d59a0a13a8262b72fdde

Observation de0ad78e-cc08-4fbe-8adc-c908b1a1b539 · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Quantifying Political Partisanship for Cross-Platform Analyses The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 69

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source=arxiv_source observed=2026-08-01T06:35:55.070460Z digest=sha256:63efd457d6af0b14d4855728ba3cefd72c109f010214b6b036867843949dcbd4

Observation e303d328-5bf2-4768-a8e0-9dbe9241e133 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 70

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doi, observed 2026-08-01T06:38:54.667811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.074667Z digest=sha256:15582658e801a6eeda02d2edbe9b879c9d8716c7f62f0041925db0c91c4e74dd

Observation f5d599bd-26cd-4faf-9a62-7e416eb895df · outbound

This paper cites Dropout:.

Quantifying Political Partisanship for Cross-Platform Analyses Dropout:

Reference 71

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no resolver link, observed 2026-08-01T06:35:55.079413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.079413Z digest=sha256:119363f48a5c700fa0a7a51fe8a8657a103040465ae158bcbbd246ed5bbdbcba

Observation f24912b2-aae5-4c5a-9749-a6b47071e83b · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 72

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no resolver link, observed 2026-08-01T06:35:55.083514Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.083514Z digest=sha256:61603d50eb41f312170e0b50187fd8b031b0b1b04f6009398d689a71225f3f1e

Observation bfb8eb6e-fe84-4365-b4de-18a62b826ff1 · outbound

This paper cites Fantastically.

Quantifying Political Partisanship for Cross-Platform Analyses Fantastically

Reference 73

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.087460Z digest=sha256:25e93b7b3856f145a0322dd02146e4cba1ddf698109a7518488da9d4d3a58eb7

Observation 31c82045-213a-4b2c-89d1-5fa4ecb032bb · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

Quantifying Political Partisanship for Cross-Platform Analyses A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 74

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source=arxiv_source observed=2026-08-01T06:35:55.091340Z digest=sha256:4c35edb843b84580ab2f9e6ede65f83fec131dac7eb6673c582c26fe0da61924

Observation 5131381f-4e56-4329-8554-7b6cc42fa1fc · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 75

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no resolver link, observed 2026-08-01T06:35:55.095774Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.095774Z digest=sha256:6d74c08a7def8f1d191274ac0bca4d153dcd509972de898f99992b929bf54569

Observation 014bf6ad-892a-4710-a350-f5641bb250dd · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-01T06:35:55.099785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.099785Z digest=sha256:02648cee9e7deb58b521fc7ccb9dc731794a2dec0d58c3a0a6a34aeac0404687

Observation 84a3e5a0-9c49-4683-ad18-5014ac841df3 · outbound

This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

Quantifying Political Partisanship for Cross-Platform Analyses SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 77

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no resolver link, observed 2026-08-01T06:35:55.103618Z

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source=arxiv_source observed=2026-08-01T06:35:55.103618Z digest=sha256:87e286049e62780205c7a50829cfe4784e8417ce7d486417257e39fa11668a3e

Observation af594563-fd06-4cff-a942-1d5ba90b8b23 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

Quantifying Political Partisanship for Cross-Platform Analyses Pruning Filters for Efficient ConvNets

Reference 78

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no resolver link, observed 2026-08-01T06:35:55.107771Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.107771Z digest=sha256:d60cce8d938c68ef1067796e55d44feb3f2b40c4b8f3f25ad0083e4d08db74fd

Observation 9a20fb57-0da1-4174-9080-383228aa5954 · outbound

This paper cites A Survey on In-context Learning.

Quantifying Political Partisanship for Cross-Platform Analyses A Survey on In-context Learning

Reference 79

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no resolver link, observed 2026-08-01T06:35:55.112230Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.112230Z digest=sha256:f6a7f92ed694e967e7cd5e37f403d0d38b73b421579fbf31d5c7e41fe17af250

Observation 8fa10e45-f698-4017-98c4-cc934987151c · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 80

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Observation 21906a2e-1d9a-4abe-a987-4b6bc1aacea8 · outbound

This paper cites Learning both Weights and Connections for Efficient Neural Networks.

Quantifying Political Partisanship for Cross-Platform Analyses Learning both Weights and Connections for Efficient Neural Networks

Reference 81

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Observation bebe4232-9cb9-411f-928b-f8ed74b02341 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Quantifying Political Partisanship for Cross-Platform Analyses Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 82

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no resolver link, observed 2026-08-01T06:35:55.125302Z

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source=arxiv_source observed=2026-08-01T06:35:55.125302Z digest=sha256:a1395f24fb0e77302176202df18ec507ac64bba681e46beb1eb4ef2c442d9fc4

Observation 75dd9a0a-9eed-422a-822a-d888a387b2be · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

Quantifying Political Partisanship for Cross-Platform Analyses A Simple and Effective Pruning Approach for Large Language Models

Reference 83

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no resolver link, observed 2026-08-01T06:35:55.131759Z

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Observation ff797dd5-3e18-4c1d-afd1-f457d783dc50 · outbound

This paper cites What Makes Good In-Context Examples for GPT-$3$?.

Quantifying Political Partisanship for Cross-Platform Analyses What Makes Good In-Context Examples for GPT-$3$?

Reference 84

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no resolver link, observed 2026-08-01T06:35:55.137308Z

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source=arxiv_source observed=2026-08-01T06:35:55.137308Z digest=sha256:0723c7cd2aa5e4a00535204f0977a1a8745296b9c30824da943d030f414cf69c

Observation 1db5eaf9-c63b-4ca0-bd06-e316e5489836 · outbound

This paper cites Rethinking the.

Quantifying Political Partisanship for Cross-Platform Analyses Rethinking the

Reference 85

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no resolver link, observed 2026-08-01T06:35:55.142290Z

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source=arxiv_source observed=2026-08-01T06:35:55.142290Z digest=sha256:6fe307d2f348f28544b74cb07bddb816d37e1a74deb0f1815e8f2a293a03cf5a

Observation 6d729f99-ad94-47a8-adaa-352be1e03b19 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 86

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no resolver link, observed 2026-08-01T06:35:55.146295Z

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source=arxiv_source observed=2026-08-01T06:35:55.146295Z digest=sha256:27da326d98fc8b56d54092aff6bb29828ad84954bd93dc28e4521fa2d97c0114

Observation 874ce405-925e-472e-ae2e-b8afdc2ca808 · outbound

This paper cites , month = dec, year =.

Quantifying Political Partisanship for Cross-Platform Analyses , month = dec, year =

Reference 87

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verified exact
doi, observed 2026-08-01T06:38:54.375909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation c6ceec39-c361-4331-a39b-d67ede955135 · outbound

This paper cites Investigating.

Quantifying Political Partisanship for Cross-Platform Analyses Investigating

Reference 88

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unresolved
no resolver link, observed 2026-08-01T06:35:55.154340Z

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source=arxiv_source observed=2026-08-01T06:35:55.154340Z digest=sha256:43efe02d47820496ae23bc7e38a57543a0faa1b7f283ae3313e1bac6cd5f6e0c

Observation a01b5bc6-a0af-458c-a3dc-d2831bd8d63b · outbound

This paper cites Proceedings of the International AAAI Conference on Web and Social Media , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Proceedings of the International AAAI Conference on Web and Social Media , author =

Reference 89

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verified exact
doi, observed 2026-08-01T06:38:54.263874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.158567Z digest=sha256:411049f8adb4e52c7b905ae35591339474c289998e61883fc470df992dcd2d27

Observation 13bb5963-9577-4cf4-9b51-be9540da9831 · outbound

This paper cites Discourse, Context & Media , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Discourse, Context & Media , author =

Reference 90

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verified exact
doi, observed 2026-08-01T06:38:54.168062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.162766Z digest=sha256:e802f7db722faff575e36165e767bc81be6517dfd4b84c45ad4d35a46336cb55

Observation b1619b49-d137-483f-86ba-e278bd9d8587 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 91

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source=arxiv_source observed=2026-08-01T06:35:55.167469Z digest=sha256:774cbc27da2e8ecf510a1501e782058be33d5da72859a69df3af076eeab66c84

Observation ae3dcbc9-7e81-42ac-8a31-4b83a2717e5f · outbound

This paper cites Social Media + Society , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Social Media + Society , author =

Reference 92

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verified exact
doi, observed 2026-08-01T06:38:54.039907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.171252Z digest=sha256:7f74931386cdf87247131be0cf8919af33aafb71ae4e6fd122b547cc383d45b0

Observation 4a499c68-3dc9-46ff-b316-b43933761a77 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-01T06:35:55.175294Z digest=sha256:f81a9aa99ab1b0307aeffa411cd9f131a696838599c17bdd609fb86a5a366262

Observation 0734e122-e925-428c-b6ce-68fd87875bcf · outbound

This paper cites Archives of Computational Methods in Engineering , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Archives of Computational Methods in Engineering , author =

Reference 95

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verified exact
doi, observed 2026-08-01T06:38:53.782923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.183521Z digest=sha256:91da0ef871d254a3ddbd87f2c53e8688f8d77e1a9a97f8bf64c30f11bb5f5abc

Observation 2d2b36ba-f513-4ebf-82b7-09fb1a37ed1a · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 96

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no resolver link, observed 2026-08-01T06:35:55.187867Z

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source=arxiv_source observed=2026-08-01T06:35:55.187867Z digest=sha256:7326d7a4165251cef38a55aee7036eece6ed37d178dd63e71656dc7a1a7b3fd9

Observation e70442df-f39c-41ab-aa6f-2c47a2cbb5b9 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-08-01T06:35:55.191701Z digest=sha256:0f219282d19938c6a032e67ac8fa8ee091bcfb9c4dce39ec21739308908c80e9

Observation 9dd0d284-2194-42ac-9fbd-eaec9e0834da · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 98

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source=arxiv_source observed=2026-08-01T06:35:55.195736Z digest=sha256:9f16c68d8aaf978bfa8ab4d8c5502b21a9505db60c1e14aaf0b673858d3c862d

Observation bba2626a-236a-430a-8841-17aadb07c0d0 · outbound

This paper cites Polarized.

Quantifying Political Partisanship for Cross-Platform Analyses Polarized

Reference 99

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source=arxiv_source observed=2026-08-01T06:35:55.199528Z digest=sha256:63856505529af3179521a208cf095c36204c9632ab73abe8d0d00de379ffbe8b

Observation e7b86158-41ee-4b1d-97e3-e76b75198170 · outbound

This paper cites Annals of the International Communication Association , author =.

Quantifying Political Partisanship for Cross-Platform Analyses Annals of the International Communication Association , author =

Reference 100

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source=arxiv_source observed=2026-08-01T06:35:55.203565Z digest=sha256:2d7eabc7ac827294b4f1a2ccf45e6c42f7cbb83c07b0167bbcf3ec8a2a048041

Observation 4b15b6c8-0fec-43a5-a4bf-dcf3c0f75ed5 · outbound

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 101

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doi, observed 2026-08-01T06:38:53.555212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.207539Z digest=sha256:f09db527daf43de0ff562958b92d5ac368e2d8eaa7f0fb4daddc4d48a96b6ffe

Pith citing papers

No inbound Pith citation observations are available.