Paper Citation Record · LEDGER

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM)

As of 23 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2507.09149.

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

pith.paper-citation-record.v1
2507.09149 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:07:44.739771Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

38 of 38 outbound references displayed

verified exact1
verified fuzzy13
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f4f4e8a-c8c5-447e-9a94-feda882f7d06 · outbound

This paper cites J., Pizarro, A.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) J., Pizarro, A

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T18:07:40.998604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4395bd96-1585-4818-8dc9-8d7d804410d7 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T18:07:41.080748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d9b057d-6e83-49b3-af34-e768ad56d0b7 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T18:07:45.268619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 575647fd-9dcb-4425-b743-956e7c69b047 · outbound

This paper cites D., & Keikhosrokiani, P.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) D., & Keikhosrokiani, P

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:50.785240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c831192b-bc0c-4045-ad8f-d4aa54e1207a · outbound

This paper cites Using Network Analysis to Detect Fake News in Social Media,.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Using Network Analysis to Detect Fake News in Social Media,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:50.568277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fa4faf1-53af-4683-a196-e5e3b12ecbe3 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:50.422134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27d16e0a-fcda-4724-83bb-af8b355d1a65 · outbound

This paper cites Fact- checking.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Fact- checking

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:50.243639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b8f19c4-7f19-47f9-81a4-c9ad6923fefc · outbound

This paper cites The elaboration likelihood model of persuasion.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) The elaboration likelihood model of persuasion

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:50.040473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 04f42096-eff1-40b4-b859-a6f6155a5fa7 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:49.868070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4b103810-dd44-483d-b407-fa629cca18f9 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:49.691669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d11eeb5-59ae-49dc-9ef6-32cf8f83cec1 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:49.520292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 54263321-1600-46c1-a575-cea2b27132ab · outbound

This paper cites Medfact: towards improving veracity of medical information in social media using applied machine learning.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Medfact: towards improving veracity of medical information in social media using applied machine learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:49.337583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9cb2cc52-2e37-4dc6-9818-a973384bb72b · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:49.177938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5dc2995e-b333-4d99-89b4-0a05901b540e · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:49.057567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ec2eef17-ba96-4bf6-8131-b5de19f20ac7 · outbound

This paper cites -L., Yang, Y.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) -L., Yang, Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.937746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 902823b1-ac8b-472b-8bd5-ad8aec6195d8 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:48.820725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5ef76767-c783-4de9-8099-904c40eb3edd · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:48.689182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99e0da11-0d9f-422c-a17c-c4c787ef3f95 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:48.525439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5adca88-4125-4839-9b01-fa248d89c6c9 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:48.357900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c68ee3a-429a-416f-87b0-c0a72005ca94 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:48.172826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37b7b080-2c16-4c13-8c21-cd99a86cf5f8 · outbound

This paper cites Using the elaboration likelihood model to address drunkorexia among college students.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Using the elaboration likelihood model to address drunkorexia among college students

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:48.011752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3be876f5-5734-41f8-b655-9aafd2021e5d · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:47.825868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06a35201-01c7-48b5-b2fd-3ad852e4a723 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:47.678369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fe6f3f81-3c34-4ff4-9437-4c68a59baa58 · outbound

This paper cites Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.515843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8b7d73de-48cf-4ce3-a4ee-db85a8902f41 · outbound

This paper cites Making retweeting social: the influence of content and context information on sharing news in Twitter.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Making retweeting social: the influence of content and context information on sharing news in Twitter

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:47.351028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e4412681-f9ca-41cc-bf44-04a018baa430 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:47.186376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb7693f2-358b-4e63-a207-1c43a83f04f0 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:47.060647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 764ae0bd-af28-4257-ab18-4a0edfb0fb1c · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:46.920920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f51541fd-e7b3-43ff-ace3-da658a305ee4 · outbound

This paper cites The effect of abstract and concrete thinking on risk-taking behavior in women and men.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) The effect of abstract and concrete thinking on risk-taking behavior in women and men

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.745086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b240df1f-287d-4512-90d7-579c8838bc7a · outbound

This paper cites J., Du, Q., Zhang, X., Qiao, Z., Wang, A., & Fan, W.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) J., Du, Q., Zhang, X., Qiao, Z., Wang, A., & Fan, W

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.540843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d09ba783-24a6-40a5-af11-129497db7aa6 · outbound

This paper cites M., Chiu, C.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) M., Chiu, C

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:46.331525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f342a989-7597-49df-8819-c88a0e5273c3 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:46.197730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fbdf4e33-3241-44c6-942a-5383065e3f34 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:45.996101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3bd90cf-51bb-4f5d-9be6-87f202ad2715 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:45.845883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cf9b00cd-a48e-4a6d-a636-cf41ffe8cd3d · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:45.692084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee3698b8-e9f2-4628-b2f4-61536834abd0 · outbound

This paper cites S., & Tra, Y.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) S., & Tra, Y

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:07:45.586542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c0b2d363-f9cb-4f83-b513-e8ec10acf8db · outbound

This paper cites Covid -19 Fake News Infodemic Research Dataset (CoVID19-FNIR Dataset).

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Covid -19 Fake News Infodemic Research Dataset (CoVID19-FNIR Dataset)

Reference 39

Resolution: verified exact; doi, observed 2026-08-06T18:07:44.946128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5c468cb-8dd5-4ad9-8741-3da0f97b6fd2 · outbound

This paper cites an unresolved cited work.

Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM) Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:07:45.424926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.