Paper Citation Record · LEDGER

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.11559.

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

pith.paper-citation-record.v1
2507.11559 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:44:08.052714Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

24 of 24 outbound references displayed

verified exact3
verified fuzzy15
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4abefa03-ccff-4e9e-87f0-f51dc8375428 · outbound

This paper cites The clinical sequelae of the covid-19 pandemic: Loneliness, depression, excessive alcohol use, social media addiction, and risk for suicide ideation,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media The clinical sequelae of the covid-19 pandemic: Loneliness, depression, excessive alcohol use, social media addiction, and risk for suicide ideation,

Reference 1

Resolution: verified exact; raw_fallback, observed 2026-08-06T17:44:08.284537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 14b84c8e-3d69-4fb9-930a-d95bff144a75 · outbound

This paper cites Suicidal ideation detection on social media: a review of machine learning methods,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Suicidal ideation detection on social media: a review of machine learning methods,

Reference 2

Resolution: verified exact; doi, observed 2026-08-06T17:44:08.095426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53e0644a-7e23-4ce7-ae19-4aed48057a7c · outbound

This paper cites Suicide risk level prediction and suicide trigger detection: A bench- mark dataset,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Suicide risk level prediction and suicide trigger detection: A bench- mark dataset,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.503481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d97c7a4-0c99-4ccb-b7bf-5ad3f9377724 · outbound

This paper cites Reddit api,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Reddit api,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.492292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0774b90b-24f7-4b43-9225-28837f5dd133 · outbound

This paper cites Columbia-suicide severity rating scale (c-ssrs),.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Columbia-suicide severity rating scale (c-ssrs),

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.481687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13788ab4-e5ca-4fd4-872c-ee6ccfed6fbd · outbound

This paper cites Knowledge-aware assessment of severity of suicide risk for early intervention,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Knowledge-aware assessment of severity of suicide risk for early intervention,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.470758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf96768e-ee05-46f5-b90a-5056304956ca · outbound

This paper cites Label Studio: Data labeling software,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Label Studio: Data labeling software,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:07.994915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c87caad9-7f71-48cf-a15b-640f68e21c40 · outbound

This paper cites Measuring nominal scale agreement among many raters.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Measuring nominal scale agreement among many raters

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:07.998352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e4a5ba-b7a2-4a15-874e-aefaf855ff62 · outbound

This paper cites The feeling of knowing: Some metatheoretical implications for consciousness and control,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media The feeling of knowing: Some metatheoretical implications for consciousness and control,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.440723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a0b31d3d-e9a6-486b-b098-f264b275a9f8 · outbound

This paper cites The impact of evidence reliability on sensitivity and bias in decision confidence.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media The impact of evidence reliability on sensitivity and bias in decision confidence

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.430492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fca27636-bbf4-4114-a99a-82ec3ec0ad4d · outbound

This paper cites Confirmation bias: A ubiquitous phenomenon in many guises,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Confirmation bias: A ubiquitous phenomenon in many guises,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.416627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a107bb8b-3f89-4b10-ac31-3d7725581d38 · outbound

This paper cites Suicide and depression detection,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Suicide and depression detection,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.401717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1f502eb-37f3-4ecd-b48f-7ed3b60021d5 · outbound

This paper cites Supervised learning for suicidal ideation detection in online user content,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Supervised learning for suicidal ideation detection in online user content,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.386529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bb5ffc3b-59b3-4712-8edf-6311131becbf · outbound

This paper cites Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:44:08.148458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6631f290-8ac2-4778-b417-6f9865a360cb · outbound

This paper cites # suicidal-a multipronged approach to identify and explore suicidal ideation in twitter,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media # suicidal-a multipronged approach to identify and explore suicidal ideation in twitter,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.371609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a4d585f4-dd78-43c7-b2fa-db35bf991b08 · outbound

This paper cites Expert, crowdsourced, and machine assessment of suicide risk via online postings,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Expert, crowdsourced, and machine assessment of suicide risk via online postings,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.356658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24db0862-bc31-4256-b0d9-c4b50f414d83 · outbound

This paper cites CLPsych 2019 shared task: Predicting the degree of suicide risk in Reddit posts,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media CLPsych 2019 shared task: Predicting the degree of suicide risk in Reddit posts,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.343210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f9c12b6-7a99-4e7f-a2cf-baf0eed20853 · outbound

This paper cites Characterization of time-variant and time-invariant assessment of suicidality on reddit using c-ssrs,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Characterization of time-variant and time-invariant assessment of suicidality on reddit using c-ssrs,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.329591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2e0b2365-1a57-464d-a909-ba0e97a24479 · outbound

This paper cites Depression and suicide risk detection on social media using fasttext embedding and xgboost classifier,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Depression and suicide risk detection on social media using fasttext embedding and xgboost classifier,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.313667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6df831c0-3aa9-4471-aee4-4b6c66010918 · outbound

This paper cites Sentiment classification on suicide notes using bi-lstm model,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Sentiment classification on suicide notes using bi-lstm model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:44:08.299724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 647f1c41-8008-469d-92e9-8648eb76febb · outbound

This paper cites HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:08.041896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a8d1ee-9646-49e7-8cad-eeef231a2122 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:08.045433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 399ff1be-0778-4f97-8c59-d3e0d3f93373 · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:08.049023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9164cd81-3465-488b-a141-f0dc9a070c7b · outbound

This paper cites Machine learning algorithm validation with a limited sample size,.

RSD-15K: A Large-Scale User-Level Annotated Dataset for Suicide Risk Detection on Social Media Machine learning algorithm validation with a limited sample size,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:44:08.052714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.