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Paper Citation Record · LEDGER

XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.12250.

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

pith.paper-citation-record.v1
2104.12250 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:14:08.872655Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T14:54:17.659731Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 00fbe722-aed7-4601-aebe-f9260a02d6d3 · inbound

A Cross-Validation Study of Turkish Sentiment Analysis Datasets and Tools cites this paper.

A Cross-Validation Study of Turkish Sentiment Analysis Datasets and Tools XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T20:14:08.872655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:14:08.872655Z digest=sha256:c0f1489fdf76eb1afb92aa37fe928d66703cb867696c1e0659776725519d3b38

Observation b91b59f4-5937-4ba0-98f7-7cb704117889 · inbound

Lessons From an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships cites this paper.

Lessons From an App Update at Replika AI: Identity Discontinuity in Human-AI Relationships XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T18:30:07.414783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:30:07.414783Z digest=sha256:d36cddf285b0f02feb06f1fbae0a1fd467d9ec52eb4b4eed0568dfb0eef5dac1

Observation 71507e7d-fea6-4a60-bc86-b24fb055432d · inbound

DanmuA11y: Making Time-Synced On-Screen Video Comments (Danmu) Accessible to Blind and Low Vision Users via Multi-Viewer Audio Discussions cites this paper.

DanmuA11y: Making Time-Synced On-Screen Video Comments (Danmu) Accessible to Blind and Low Vision Users via Multi-Viewer Audio Discussions XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T14:03:44.552274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:03:44.552274Z digest=sha256:33fa2965464616e3a4dc41a312710172b83c9ac8c23080f4d870d3b08ead09a3

Observation ad571c5c-a7c6-4460-acbb-3de89645ba92 · inbound

Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums cites this paper.

Analyzing public sentiment to gauge key stock events and determine volatility in conjunction with time and options premiums XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-08T19:34:08.340981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:34:08.340981Z digest=sha256:4202fbe6084f37ca8b979750d844afd27f3184a6090d8a78e4c68d6f1329618d

Observation 09989cf1-3f19-4d66-b543-00040bb44b13 · inbound

Speech Emotion Recognition via Entropy-Aware Score Selection cites this paper.

Speech Emotion Recognition via Entropy-Aware Score Selection XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:54:17.669263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T14:54:17.513720Z digest=sha256:a6f931fbff11e54e1947db377cc202bdb5f7339fd9364bb4c2dc4a079f9ad588