Paper Citation Record · LEDGER

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity

As of 11 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.02734.

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

pith.paper-citation-record.v1
2607.02734 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:25:36.311032Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

16 of 16 outbound references displayed

verified exact1
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8ed5f2de-7d5b-4de6-a06f-6630b8ff879e · outbound

This paper cites and Sonagara, D.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Sonagara, D

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7898d88-d9ac-4cbb-b86a-07404f91ca7a · outbound

This paper cites A Survey on Multimodal Disinformation Detection.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity A Survey on Multimodal Disinformation Detection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cc0cdc4-c901-40ab-bbfc-d5599f3f01dc · outbound

This paper cites and Ahmed, T.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Ahmed, T

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b1489a4-0949-4532-af7e-ab81c7cc0dc1 · outbound

This paper cites and Alrubaian, M.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Alrubaian, M

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3cd866-f34b-40f0-ad9d-8386b75edae0 · outbound

This paper cites and Alonso-Bartolome, S.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Alonso-Bartolome, S

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c4435fc-3a89-4cb1-8c04-d67624fc4671 · outbound

This paper cites and Yu, Y.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Yu, Y

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f2110e9-e3b9-4b2f-b2c5-52e103003575 · outbound

This paper cites and Yu, X.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Yu, X

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52eb0e90-6254-449d-a1f2-8b4adf4949a4 · outbound

This paper cites MMCFND: Multimodal Multilingual Caption-aware Fake News Detection for Low-resource Indic Languages.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity MMCFND: Multimodal Multilingual Caption-aware Fake News Detection for Low-resource Indic Languages

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a2ca313-b5c8-473d-bc02-5c180fb76764 · outbound

This paper cites and Arya, A.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Arya, A

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c83af0-572c-4326-9d2e-6b3c7fc0f520 · outbound

This paper cites and Wang, S.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Wang, S

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d57b3112-fb23-46ff-8512-77256c8aacbd · outbound

This paper cites and Fu, C.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Fu, C

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4497207e-cc8a-4ebb-99dc-f6afccf50ae7 · outbound

This paper cites and Zhang, H.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Zhang, H

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6491f8c-6a75-4454-a49f-c1346ce2d7f4 · outbound

This paper cites and Kar, S.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Kar, S

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ebf267e-b7fb-48d4-b70c-e688da884622 · outbound

This paper cites Fake News Detection Dataset.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity Fake News Detection Dataset

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31aa0e0a-ecf0-487f-9133-01c02310c6a2 · outbound

This paper cites and Arora, P.

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity and Arora, P

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T07:25:36.311032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39ab048-9c23-4261-93e4-8c1adfb70fd9 · outbound

This paper cites (2025) Fake news multimodal datasets (Twitter and Weibo).

Echoes of Unrest: A Multimodal NLP Framework for Early Warning of Fake News and Violence-Driven Mob Activity (2025) Fake news multimodal datasets (Twitter and Weibo)

Reference 16

Resolution: verified exact; doi, observed 2026-07-12T07:28:35.046835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.