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Paper Citation Record · LEDGER

Quantifying Political Partisanship for Cross-Platform Analyses

As of 13 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 2026-08-13T06:32:02.005865+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:ce5cdcf7ca062294f78ae1319087d068b599f3af3ae366f2d0e53a469c50a587

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=sha256:3f6362dea01e8534e02120cd02f3dc9b4bffcc1024c8c00350194e8ac5c5c215

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:54.776904Z digest=sha256:7ad120b5e7122e8938e8d2c175bc8ca48f45a388384eb66dc8b0c1b5e1da60da

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=sha256:79c69d7c013d59e90a12267f60317a4f67ec27efa8b2454497d4e9907c65928e

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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no resolver link, observed 2026-08-01T06:35:54.786699Z

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source=arxiv_source observed=2026-08-01T06:35:54.786699Z digest=sha256:e442f38cfa9ad12d82937c2d7a53652c3bcc3d24fdd923c6db04602defc8b36b

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.

source=arxiv_source observed=2026-08-01T06:35:54.791143Z digest=sha256:7a64d368bfdc6170f5511a16cd9fcab2ae93672473146ff9ab1df967cd297c22

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:54.795860Z digest=sha256:b1ef73c30d0bb12db09d119c1ff468b0c880bda76435274154a50306eda7f050

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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
doi, observed 2026-08-01T06:38:58.436503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.812947Z digest=sha256:c6b6c5817aa6795c9dcd76b51c71f034ce65fa397fc9753de999ee8cfd83931d

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 2026-08-13T06:32:02.005865+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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no resolver link, observed 2026-08-01T06:35:54.823318Z

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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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source=arxiv_source observed=2026-08-01T06:35:54.831814Z digest=sha256:dcc0da7e6d6f9580158440219c02c49227441feaa5b28d803df1718f2b46a9ce

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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source=arxiv_source observed=2026-08-01T06:35:54.835841Z digest=sha256:7d4465666ab12a3a8562794f2193bbaa30979f739b1db8c6192209ab45ba751e

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.839767Z digest=sha256:de96aaaf057c45a1c4ad74a48e8cfde44f7d922b40115d3d52e23e54c793b351

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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Unavailable: canonical work link unavailable.

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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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verified exact
doi, observed 2026-08-01T06:38:57.928927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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
local_arxiv, observed 2026-08-01T06:38:57.853821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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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verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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

This paper cites Predicting.

Quantifying Political Partisanship for Cross-Platform Analyses Predicting

Reference 27

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

This paper cites an unresolved cited work.

Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 28

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source=arxiv_source observed=2026-08-01T06:35:54.886756Z digest=sha256:6fbf45b8e63d4dfdfbd6d0d4c22a7d8e8bcc336bc121fa0534d0ac7ac03ff1c1

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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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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Observation 475603da-15bb-46a5-80e4-c37f94ea94c4 · outbound

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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 2026-08-13T06:32:02.005865+00:00.

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

This paper cites Large Language Models: A Survey.

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

Reference 33

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source=arxiv_source observed=2026-08-01T06:35:54.908615Z digest=sha256:53a8a19aa3dd0f72f374e888a22878d8a25fa10ee8a02cd51410b7d4e059e574

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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Observation 1e96a537-f651-46a6-929b-d6c8de86015f · outbound

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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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Unavailable: canonical work link unavailable.

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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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.931791Z digest=sha256:40a8186a652c94d0c0845a53ab9d23a6400299c4529e66604822c93fe36d240b

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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no resolver link, observed 2026-08-01T06:35:54.936027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:54.936027Z digest=sha256:2c5b8034a849b2109c6e112ab544c1cf0f7000db9751283213e6d98d9e142514

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:af0801425a86b08227d1a6fc87de5ad8250eaa8496563a931f6125c421a3da84

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=sha256:2dd7ca25384a6bb474be64f292dd101a8bd17a732a93de01cbebe7a79f7a18a1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.953385Z digest=sha256:5f2b51c0f4e6d5d71d6eda0eb221fa6a7796cc4c00aee6c673b62e4ad9fe72c4

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.958503Z digest=sha256:751d55835723ce2a890fbd0eccd8c5d6646fcf4f8a4a804c0a336221cdafff8b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.962946Z digest=sha256:f1e6c1d7c33a0f57f123236c464092d0525cd25c5286b681b91118ee17f4123b

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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doi, observed 2026-08-01T06:38:56.040834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.967135Z digest=sha256:ab3633730b08de0ea7bf64ffc51b009fca4623a3219b2286801cdd80a70d0df2

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.970907Z digest=sha256:82bcf34799cb99cf780d519f625e74e666c07ab58ddb7f0953c9fe9792927682

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=sha256:30b8ab8d4106d941d9dc37767d08fa1a7a831c887a9765d4fc7562b190f9a701

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.980463Z digest=sha256:c5020da77a89df83ad04aa0cfcf5cb6fda8bc3b0c18b96dcb121b9c680eb34bd

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:54.984695Z digest=sha256:67cbdd0f97cf4a8f5c2a62956e56b495dcf514785da7f515f1ee18e7a79a157c

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:ab9361b3b8da14177ac37651c88b014cb4f6c421fabf56f18ff2fbb8e517da02

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:b55e4814ffe337695951ea8e889294fe2dcd5f420a4b21058e14f842c9f8fd6d

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:f8f2868c89b449e5e9a1c962b48e93d665e8f20ee354a132089bef47b6d967b9

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.003304Z digest=sha256:469e41dc321228b77dea7ebf406f48ba23f2f3eef07e5f46d53c17224de06d44

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

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.007508Z digest=sha256:176f271f94ab4de4abfba5a51213ad879048ecdb854131162d71c3161f4c65fc

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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no resolver link, observed 2026-08-01T06:35:55.012179Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T06:35:55.012179Z digest=sha256:c3b2322b29d0923d17c0428428879a0e5dedc8a8c5c9b72615d3916196060972

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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no resolver link, observed 2026-08-01T06:35:55.015974Z

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source=arxiv_source observed=2026-08-01T06:35:55.015974Z digest=sha256:f43b3afe6dc827a6d31af678b71e7e1cadc91253110664ff871894c021d9f235

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=sha256:4d75c91132cd8db6e8865cdb03df174e98aa7d5e6660d04b308010d3e940679c

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=sha256:98f187bfbba54496ac9e7dad92c4589d87ee8799454095a4b0725177badd5321

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=sha256:0042c5cf73190023e32185dbf451a1ab6aa285cf3deeb2deb2624ce5bab97d71

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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no resolver link, observed 2026-08-01T06:35:55.032378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.032378Z digest=sha256:53bdb8e4ead1d3d87561c017598c0acd2e358ab478dc909c45ab69464cecacf9

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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doi, observed 2026-08-01T06:38:54.954010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.036353Z digest=sha256:2e1f240678dbd3dc72a5864fa56442a5832238b6b22850771c4e40b70d455079

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:b54ae7507fe5c167bed2deea86beaad854df59bd545f7d76286f22f813ffb338

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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no resolver link, observed 2026-08-01T06:35:55.044811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.044811Z digest=sha256:7a0858eab54bb3530666252bec3dc2ba20d06641615287cedb898eaafdaccada

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=sha256:3c6b5b10095eb7402d11cda9a7ac716d600c3c8f047e00ab7f0b583ed20179b3

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:dda997945b3461985c8d3f3a3799ca7f75aff10e7e3edc5fb65bfc37619dac50

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.057143Z digest=sha256:e2017954c248873de94c264f990ee5d43fba87e351315d31a0a732538ede0435

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.061787Z digest=sha256:61ac2122ab216650dd222badd517bd08ac572390958431c0424c3194d79794ec

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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no resolver link, observed 2026-08-01T06:35:55.066695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.066695Z digest=sha256:19f94b2a83a71a635632a7e836f74682f3a2a51f63ff8856be1ab0a83572736b

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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no resolver link, observed 2026-08-01T06:35:55.070460Z

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source=arxiv_source observed=2026-08-01T06:35:55.070460Z digest=sha256:f774d89f1694c7a89dd730c07c60e2e73e473d5f5e882da95b4bcaa34cb5416c

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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verified exact
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-01T06:35:55.074667Z digest=sha256:3f50932fe4740e9d9067de8918f1f5a5feb1493cf93be17d4ffbb57306de3793

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:f7afbd2f595c89b2cf76e6a692700c7a496f31261267ffe7d43205ea6e67798f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.083514Z digest=sha256:e74dd1af720f8c766cd9d5baff9ff84af90f181f0b424abde33b49f521551069

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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no resolver link, observed 2026-08-01T06:35:55.087460Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.087460Z digest=sha256:0928ff255b3f64b10df27ba331e68a3ba219339af260753bf0b719b3a76c0e9b

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:ac6aa34533c5bb52b77a70c616b668f2be040c11bdb06952c3008652cc5554ee

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.095774Z digest=sha256:36317181906f76b010b35390952682192ba945ffaa3075832016416792146b4c

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=sha256:97fc2a6d4cc96d1e59c897a764a0609f0166a69140a105e4fe86d85790f21820

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:35:55.103618Z digest=sha256:23843102e724800446f8c859a415aadd3e92cf9684e1c2591c95c84365747e22

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=sha256:6baa7c1b01240f836fbe430cbeb62c8faeb669280f06273c9f149d47d18a8390

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:f4c7324d48164b8d9a5c08dd3aee38f71a43f9f867e6a485004ffde469a8ee2a

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

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Quantifying Political Partisanship for Cross-Platform Analyses Investigating

Reference 88

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

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Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 91

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

Reference 95

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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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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:b4f1e2a0a2c04cc2fbe0d336b327347f2898992877a4ffceb44b529669bd0e44

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:b7a7ce1c409419c63af890060c244c88f982e6b408fd0806a6ad58802c61be64

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

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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=sha256:069a18e5cce0101f355cc16083cfe6022f3cbc57c6d004c2372b26a6e2d65486

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

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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:bb7dab6e6c1a1ff2e6c678a99e57f8b318bf63d0e531b9a562574ed2d38a8f89

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

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Quantifying Political Partisanship for Cross-Platform Analyses Unresolved cited work

Reference 101

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Pith citing papers

No inbound Pith citation observations are available.