Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T10:19:36.672753Z
Paper Citation Record · LEDGER
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation
As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2412.16844.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:42:40.770703Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-16T04:42:40.923682Z
Reference resolution
24 of 24 outbound references displayed
- verified exact0
- verified fuzzy8
- unresolved16
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 285fb276-f26f-42c6-891e-31012eff9f34 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.922052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 768fc170-4ed6-4786-b0ea-1efe495c24e1 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.912762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 65127cd3-f65a-4ddd-aee2-4212adf55778 · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:19:36.599382Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d87c7098-f32e-49c3-ae90-033dfcc11395 · outbound
This paper cites Aligning Large Language Models with Human: A Survey.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Aligning Large Language Models with Human: A Survey
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:19:36.603444Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ff37aed-882c-44a7-a412-6e0292456e6f · outbound
This paper cites P = m |c| (3) R = m |r| (4) where: • m is the number of matched tokens.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation P = m |c| (3) R = m |r| (4) where: • m is the number of matched tokens
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.903638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3efb8ef6-2bfe-4c83-8cb9-9fbf47a23b03 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.893406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation c59b0883-aac2-4bf3-8e48-7388f0877602 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 9
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.883424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 71a3e1a0-8846-4b5b-93d5-d10638ab00cf · outbound
This paper cites Given a language model that assigns a probability P (wi | w1, w2,.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Given a language model that assigns a probability P (wi | w1, w2,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.874228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a422597b-36ae-4859-801d-bac0eb2efc4d · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.864956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e93541da-ac94-4fbc-ba58-15c849014599 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.856517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0cc59fd1-16a3-4bcd-93a4-1f760e1e5d4c · outbound
This paper cites Given a text sample, the TTR can be computed as follows: TTR = Number of Unique Words (Types) Total Number of Words (Tokens) (13) Interpreting TTR Scores.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Given a text sample, the TTR can be computed as follows: TTR = Number of Unique Words (Types) Total Number of Words (Tokens) (13) Interpreting TTR Scores
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.847841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cb26402f-142f-4eed-af84-e9124ff2ddeb · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.837938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fc1d1325-1b88-4c26-9e7c-6c196ca78173 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.828150Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 216d4a06-90d7-4796-94ff-54a51653a759 · outbound
This paper cites (b) Check if Google Maps returns a valid GPS location.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation (b) Check if Google Maps returns a valid GPS location
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.818521Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5ef97778-7234-496c-9630-22ec211dbe84 · outbound
This paper cites The parse tree represents the syntactic structure of the sentence according to the grammar rules.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation The parse tree represents the syntactic structure of the sentence according to the grammar rules
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.808719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ed175ccb-c445-4810-bcad-7ee96fc88782 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.798281Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e67192d4-073c-4502-bbbf-67b5e873f7e9 · outbound
This paper cites This can be done by matching corresponding subtrees or syn- tactic patterns between the parse trees.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation This can be done by matching corresponding subtrees or syn- tactic patterns between the parse trees
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.788589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9e76fe7d-eb86-4d24-a3a0-3e5a12311cb0 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.778598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b55203e5-b527-46e1-85c6-ab9f10b6eb24 · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.768434Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6e0ad97b-f7c9-419d-8b9f-d8255911d7ed · outbound
This paper cites Step 1: Compute TF-iDF Scores Given a set of documentsD = {d1, d2,.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Step 1: Compute TF-iDF Scores Given a set of documentsD = {d1, d2,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.758736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 10828dbc-41ba-4cd8-9f86-b91cfb7591ac · outbound
This paper cites an unresolved cited work.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T10:19:36.749250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation ccef32bc-89eb-406a-9d6d-31f7d5e2b72b · outbound
This paper cites Step 1: Sentiment Extraction For each text, use TextBlob to obtain the sentiment scores.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation Step 1: Sentiment Extraction For each text, use TextBlob to obtain the sentiment scores
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T10:19:36.738839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b80095ff-e96b-451f-b172-2a81734e426e · outbound
This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:19:36.595726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25f86490-08d9-4a9b-a12a-cfc79f8ef55d · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:19:36.591035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 88a7ba0d-5812-4bd3-b204-2a707383e7bf · inbound
Combining LLMs with Logic-Based Framework to Explain MCTS cites this paper.
Combining LLMs with Logic-Based Framework to Explain MCTS Sim911: Towards Effective and Equitable 9-1-1 Dispatcher Training with an LLM-Enabled Simulation
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-08-16T04:42:40.930583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.