Paper Citation Record · LEDGER

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks

As of 13 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2506.06153.

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

pith.paper-citation-record.v1
2506.06153 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:05:30.853967Z

measured 51 of 51 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

51 of 51 outbound references displayed

verified exact3
verified fuzzy16
unresolved28
parse uncertain0
malformed identifier4
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b30c443-2700-4920-80fa-38844c406cb4 · outbound

This paper cites Nyhan, Facts and myths about misperceptions.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Nyhan, Facts and myths about misperceptions

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.413966Z

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.

Observation 4b171d94-c41b-4d8b-8f5d-095b3d9265c1 · outbound

This paper cites Matatov, M.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Matatov, M

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.407910Z

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.

Observation 8edb8781-5905-4a78-9361-4577d8db5f07 · outbound

This paper cites Oehmichen, et al., Not all lies are equal.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Oehmichen, et al., Not all lies are equal

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.399225Z

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.

Observation 47dfc458-92b7-463d-bf88-869026843801 · outbound

This paper cites Bovet, H.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Bovet, H

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.392482Z

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.

Observation 3f424786-049e-47de-9df8-ef8d2f58d9d5 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.386643Z

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.

Observation 709d7557-3993-49c3-8b5f-9c3634b1aecc · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.380318Z

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.

Observation b0137473-ac25-45bc-adb9-03cb40e408e1 · outbound

This paper cites Eggertson, Lancet retracts 12-year-old article linking autism to MMR vaccines.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Eggertson, Lancet retracts 12-year-old article linking autism to MMR vaccines

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T06:05:30.902696Z

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.

Observation 9dc23e66-677d-4071-9300-6f7bb391180f · outbound

This paper cites Skafle, A.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Skafle, A

Reference 8

Resolution: malformed identifier; no resolver link, observed 2026-08-07T06:05:30.761557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae48fc9b-92ca-45c5-bab3-f5a7c3ebf339 · outbound

This paper cites Ognyanova, D.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Ognyanova, D

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.763827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb127d10-3487-4518-a4fa-cee53b7ea225 · outbound

This paper cites FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.766679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b70317-4c3d-4ea3-805a-2ae2f08554a5 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.374907Z

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.

Observation b584d2a8-6a99-4712-8203-2481351ce55d · outbound

This paper cites Fact-Checking Complex Claims with Program-Guided Reasoning.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Fact-Checking Complex Claims with Program-Guided Reasoning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.772652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812c33da-b902-4e3e-9244-4625076419a8 · outbound

This paper cites MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.775150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e2e7d2b-a55e-45cf-8896-a174b4d5afce · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.777884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fa1e2f2-88ab-49b5-a1e2-e97bd90cafae · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.368583Z

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.

Observation 7f46b4f1-db7a-4c65-9189-304a88912b19 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.362989Z

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.

Observation bf5d5fa4-cab7-4a50-9d05-4206dc8bccb9 · outbound

This paper cites Karinshak, S.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Karinshak, S

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.357435Z

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.

Observation c51b555a-be01-42a7-aa2b-0612d2c097ef · outbound

This paper cites Matz, et al., The potential of generative AI for personalized persuasion at scale.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Matz, et al., The potential of generative AI for personalized persuasion at scale

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.352071Z

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.

Observation 0f3e596d-aacb-4ee0-acae-922ecf8612d1 · outbound

This paper cites Simchon, M.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Simchon, M

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.345532Z

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.

Observation f6ffc14d-a827-4b54-9be3-0b485683f684 · outbound

This paper cites When” not “If.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks When” not “If

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.339522Z

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.

Observation 38b839c0-cd25-4b42-b115-d68bab836113 · outbound

This paper cites Pennycook, D.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Pennycook, D

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.791972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6db4d33-b223-4909-a9f5-dac34abed478 · outbound

This paper cites Bolsen, J.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Bolsen, J

Reference 22

Resolution: verified exact; doi, observed 2026-08-07T06:05:30.880280Z

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.

Observation fce02627-c01d-46a7-9ee4-e956f4e6cb27 · outbound

This paper cites Ahmed, H.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Ahmed, H

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.796619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ca78b71-de57-4a84-aff0-21bbae154b31 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.334407Z

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.

Observation 05a98433-7011-4dad-85f3-e476b86c32bd · outbound

This paper cites Fazio, et al., Combating misinformation: A megastudy of nine interventions designed to reduce the sharing of and belief in false and misleading headlines (2024).

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Fazio, et al., Combating misinformation: A megastudy of nine interventions designed to reduce the sharing of and belief in false and misleading headlines (2024)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.328555Z

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.

Observation c57453db-cd7a-42ce-b97d-f1202d314132 · outbound

This paper cites Porter, T.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Porter, T

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.322945Z

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.

Observation 4d7bc8e5-c31b-4b83-bfd6-6d7964eced10 · outbound

This paper cites Pennycook, et al., Shifting attention to accuracy can reduce misinformation online.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Pennycook, et al., Shifting attention to accuracy can reduce misinformation online

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.317543Z

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.

Observation 86a2eb74-eb89-4ce8-8170-59dd8ff87bbc · outbound

This paper cites Sinclair, The social citizen: Peer networks and political behavior (University of Chicago Press) (2012).

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Sinclair, The social citizen: Peer networks and political behavior (University of Chicago Press) (2012)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.311447Z

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.

Observation 41558902-c3a0-40d0-a650-478e0c81e274 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.305981Z

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.

Observation 7be2128a-4aad-4379-b977-c29e5cfa6ed1 · outbound

This paper cites Why Would You Suggest That? Human Trust in Language Model Responses.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Why Would You Suggest That? Human Trust in Language Model Responses

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.811622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deb07a0d-a682-4a87-a896-8bd4c50ef512 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.300878Z

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.

Observation 275ce8bd-e0f8-489d-be1f-97bea535dc68 · outbound

This paper cites Klar, Partisanship in a social setting.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Klar, Partisanship in a social setting

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.295320Z

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.

Observation c7dfab05-bce8-4571-9a20-50da1d53fa15 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.287900Z

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.

Observation f4f0ad9a-e001-4c0d-a0ef-5e179724b34c · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.282510Z

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.

Observation c069237b-e103-4615-bd34-039c46902d5b · outbound

This paper cites Exploring the Role of Randomization on Belief Rigidity in Online Social Networks.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Exploring the Role of Randomization on Belief Rigidity in Online Social Networks

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T06:05:31.123780Z

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.

Observation b6314d75-3948-4be9-8c8c-41c1ff69eb06 · outbound

This paper cites Rammstedt, O.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Rammstedt, O

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.276296Z

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.

Observation 9837a206-dd80-4ba0-a4a1-2739e7cce28c · outbound

This paper cites Boos, et al.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Boos, et al

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.825746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4983f135-f1a5-419f-b00a-d636b9cb3c07 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.269974Z

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.

Observation aeae754c-0003-4d03-a636-3fe7e3d4e67a · outbound

This paper cites Jurkowitz, A.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Jurkowitz, A

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.264126Z

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.

Observation eef41e3e-48dd-45e7-ab9f-bb1fc2259f5c · outbound

This paper cites Schaffner, S.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Schaffner, S

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T06:05:31.257606Z

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.

Observation aa227c47-868a-486f-ba5d-d16ed7ed34e7 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.248155Z

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.

Observation 1a1d20f7-c2c2-40cb-b25b-b4e0f87ef44e · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.242860Z

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.

Observation c0ab7f45-a839-4820-bc40-ee58e88d8e8b · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.237355Z

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.

Observation d212bc93-83dd-4811-9edc-bd3f74369813 · outbound

This paper cites Brenan, Economy most important issue to 2024 presidential vote (2024), https://news.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Brenan, Economy most important issue to 2024 presidential vote (2024), https://news

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T06:05:31.231485Z

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.

Observation 667c2e46-b1fd-414b-9d70-91e00c81ab89 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.224547Z

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.

Observation 408df8fa-0a75-4b62-9371-b3fe71e2201a · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.218210Z

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.

Observation 7175b147-c100-4c33-aa54-cd852deabe0c · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.212057Z

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.

Observation 2bbf19c4-2a4c-4cf3-adac-b2c9d252fd5b · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:30.846418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64169dd-f9a2-4522-8c91-95f4934e4b32 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-08-07T06:05:30.848360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2ad8233-eeb1-445e-80c4-d67dce1bccd2 · outbound

This paper cites an unresolved cited work.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T06:05:31.206327Z

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.

Observation ce04c249-4443-4983-9a1f-91992025bdac · outbound

This paper cites response entry.

Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks response entry

Reference 51

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T06:05:31.200267Z

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.

Pith citing papers

No inbound Pith citation observations are available.