Paper Citation Record · LEDGER

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs

As of 23 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.15182.

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

pith.paper-citation-record.v1
2411.15182 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:54:33.598059Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy11
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bb04cb8a-fd51-4a82-bb79-72e2375cbb75 · outbound

This paper cites Workshop on online and adaptative recommender systems (oars),.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Workshop on online and adaptative recommender systems (oars),

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.947391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8d8d915a-c9f5-4389-87e5-e40871f0436c · outbound

This paper cites Embedding-based Recommender System for Job to Candidate Matching on Scale.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Embedding-based Recommender System for Job to Candidate Matching on Scale

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T17:54:33.508321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f891bde-5699-4e6b-859c-25b6ddbda224 · outbound

This paper cites Interactive job recommendation and application submission tools of employment website entities,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Interactive job recommendation and application submission tools of employment website entities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.926512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 726b9edd-0ecb-4ef6-83d8-016c4a2681cd · outbound

This paper cites Tripartite vector representations for better job recommendation,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Tripartite vector representations for better job recommendation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.907458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9baf9a25-0d2a-4b4a-a284-93fef4338c7e · outbound

This paper cites Deepcarotene-job title classification with multi-stream convolutional neural network,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Deepcarotene-job title classification with multi-stream convolutional neural network,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.884857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b374b1a-0b93-41ee-bc56-629c6bfe39dc · outbound

This paper cites A combined representation learning approach for better job and skill recommendation,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs A combined representation learning approach for better job and skill recommendation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.854803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74aaab4b-b337-4d9d-b06d-06781dd8979f · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T17:54:33.541647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ff2df3-26a1-449a-a59d-fed0b58bfe29 · outbound

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

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T17:54:33.546617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78274c12-4a1f-4944-b8e6-807cc5d52755 · outbound

This paper cites Spherical text embedding,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Spherical text embedding,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.811937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e66ac165-1a1d-4620-ae2d-72b638e2c420 · outbound

This paper cites A package for learning on tabular and text data with transformers,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs A package for learning on tabular and text data with transformers,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.789379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d5f3f5cb-cf74-448f-985a-1385c6e3429c · outbound

This paper cites Neural machine translation by jointly learning to align and translate,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Neural machine translation by jointly learning to align and translate,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.762014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ae5f6afc-6591-4463-9d4e-16f1b9707bef · outbound

This paper cites Deeptlf: robust deep neural networks for heterogeneous tabular data,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Deeptlf: robust deep neural networks for heterogeneous tabular data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.742956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b973d04e-d346-47ea-ac48-c16e74570437 · outbound

This paper cites Statsforecast: Lightning fast forecasting with statistical and econometric models,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Statsforecast: Lightning fast forecasting with statistical and econometric models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.723557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4359f662-258f-4383-bf36-680905414dce · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Understanding the difficulty of training deep feedforward neural networks,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T17:54:33.592323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b97fc500-cb8e-4cc2-b875-a8893c58b074 · outbound

This paper cites Ord- sim: Ordinal regression for e-commerce query similarity prediction,.

Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs Ord- sim: Ordinal regression for e-commerce query similarity prediction,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:54:33.689881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.