Paper Citation Record · LEDGER

Efficient Text Encoders for Labor Market Analysis

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 3 inbound Pith citation observations for arXiv:2505.24640.

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

pith.paper-citation-record.v1
2505.24640 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:39.004576Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:36:55.262319Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:05:31.404273Z

Reference resolution

40 of 40 outbound references displayed

verified exact0
verified fuzzy37
unresolved3
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fbe9b6a-42d9-4515-9794-a51ad99916d3 · outbound

This paper cites Data science for job market analysis: A survey on applications and techniques.Expert Systems with Applications, 251:124101, 2024.

Efficient Text Encoders for Labor Market Analysis Data science for job market analysis: A survey on applications and techniques.Expert Systems with Applications, 251:124101, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:43.156420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f3a0e59-4d1e-4a42-8765-c0d5821e5a32 · outbound

This paper cites an unresolved cited work.

Efficient Text Encoders for Labor Market Analysis Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:43.026630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f1771568-451b-47cb-ac9e-7b7bd59dc2d0 · outbound

This paper cites A survey on skill identification from online job ads.IEEE Access, 9:118134–118153, 2021.

Efficient Text Encoders for Labor Market Analysis A survey on skill identification from online job ads.IEEE Access, 9:118134–118153, 2021

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.919229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04cb1354-fc65-4f93-98a0-15cb547ba242 · outbound

This paper cites Large language models as batteries-included zero-shot ESCO skills matchers.

Efficient Text Encoders for Labor Market Analysis Large language models as batteries-included zero-shot ESCO skills matchers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.831084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5f4dbfdc-7c12-4aae-8a65-de6b151a2d5f · outbound

This paper cites In-context learning for extreme multi-label classification, 2024.

Efficient Text Encoders for Labor Market Analysis In-context learning for extreme multi-label classification, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.721593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0603d77-ddde-4f61-b8dd-4f6bdbd88e94 · outbound

This paper cites Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models.

Efficient Text Encoders for Labor Market Analysis Automated occupation coding with hierarchical features: a data-centric approach to classification with pre-trained language models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.601184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2a54fabb-8658-42dc-9427-4e89d45253f1 · outbound

This paper cites JobBERT : understanding job titles through skills.

Efficient Text Encoders for Labor Market Analysis JobBERT : understanding job titles through skills

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.449483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9cbca7b0-ee15-4663-a86b-49f058ad8805 · outbound

This paper cites Skill: A system for skill identification and normalization.Proceedings of the AAAI Conference on Artificial Intelligence, 29(2):4012–4017, Jan.

Efficient Text Encoders for Labor Market Analysis Skill: A system for skill identification and normalization.Proceedings of the AAAI Conference on Artificial Intelligence, 29(2):4012–4017, Jan

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.336962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 46ed3630-950d-478d-b876-5ab688baa56c · outbound

This paper cites Representation of job-skill in artificial intelligence with knowledge graph analysis.

Efficient Text Encoders for Labor Market Analysis Representation of job-skill in artificial intelligence with knowledge graph analysis

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.251907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad6c698c-d100-442a-8dfa-dac6a679b3c5 · outbound

This paper cites Learning representations for soft skill matching.

Efficient Text Encoders for Labor Market Analysis Learning representations for soft skill matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.118047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d854b237-0042-413a-98a9-ff08ea381c1e · outbound

This paper cites SkillSpan: Hard and soft skill extraction from English job postings.

Efficient Text Encoders for Labor Market Analysis SkillSpan: Hard and soft skill extraction from English job postings

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:42.012960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96d9054e-89db-4be1-b065-a1b8fd67581c · outbound

This paper cites NNOSE: Nearest neighbor occupational skill extraction.

Efficient Text Encoders for Labor Market Analysis NNOSE: Nearest neighbor occupational skill extraction

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.906777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f31b79e9-aaf9-4ed2-9b47-76405a4b19ac · outbound

This paper cites Skill-llm: Repurposing general-purpose llms for skill extraction, 2024.

Efficient Text Encoders for Labor Market Analysis Skill-llm: Repurposing general-purpose llms for skill extraction, 2024

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.820884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5d5bb264-c174-4f96-b003-f0666349a37e · outbound

This paper cites Design of negative sampling strategies for dis- tantly supervised skill extraction, 2022.

Efficient Text Encoders for Labor Market Analysis Design of negative sampling strategies for dis- tantly supervised skill extraction, 2022

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.732186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 803375bd-9a31-455a-a4fc-c822bfa60ee0 · outbound

This paper cites Fine-grained extraction and classification of skill requirements in German- speaking job ads.

Efficient Text Encoders for Labor Market Analysis Fine-grained extraction and classification of skill requirements in German- speaking job ads

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.615272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 81858c20-3723-470e-bfdb-4b79f3680ee1 · outbound

This paper cites Extreme multi-label skill extraction training using large language models.

Efficient Text Encoders for Labor Market Analysis Extreme multi-label skill extraction training using large language models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.473855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation df414ab5-9793-4819-907c-7657c732a512 · outbound

This paper cites Lightxml: Transformer with dynamic negative sampling for high-performance extreme multi-label text classification.

Efficient Text Encoders for Labor Market Analysis Lightxml: Transformer with dynamic negative sampling for high-performance extreme multi-label text classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.366387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae11b03e-ef0e-4e0a-a48e-d42d34c3f73c · outbound

This paper cites Deep- xml: A deep extreme multi-label learning framework applied to short text documents.

Efficient Text Encoders for Labor Market Analysis Deep- xml: A deep extreme multi-label learning framework applied to short text documents

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.265834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a2591047-ef6d-436e-98f1-1395a26f43f5 · outbound

This paper cites Fast multi-resolution transformer fine-tuning for extreme multi-label text clas- sification.Advances in Neural Information Processing Systems, 34:7267– 7280, 2021.

Efficient Text Encoders for Labor Market Analysis Fast multi-resolution transformer fine-tuning for extreme multi-label text clas- sification.Advances in Neural Information Processing Systems, 34:7267– 7280, 2021

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.201117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e9620c43-4e3f-43eb-913e-221f2df6bc47 · outbound

This paper cites Dimensionality reduction by learning an invariant mapping.

Efficient Text Encoders for Labor Market Analysis Dimensionality reduction by learning an invariant mapping

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:41.113101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 381bb999-eabe-409b-bbf4-686f7501d9fc · outbound

This paper cites Representation learning with contrastive predictive coding, 2018.

Efficient Text Encoders for Labor Market Analysis Representation learning with contrastive predictive coding, 2018

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.999665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ca6935c-3420-4af5-ab08-5c0d1461127e · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Efficient Text Encoders for Labor Market Analysis A simple framework for contrastive learning of visual representations

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:38.004855Z

Source-reported events for the cited work

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Observation b4279af6-89c2-4fd9-a5ad-023fc2578f2d · outbound

This paper cites Learning transferable visual models from natural lan- guage supervision.

Efficient Text Encoders for Labor Market Analysis Learning transferable visual models from natural lan- guage supervision

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.916330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ff431174-20b6-4a65-bda0-07819c67f9f4 · outbound

This paper cites High-precision phrase-based docu- ment classification on a modern scale.

Efficient Text Encoders for Labor Market Analysis High-precision phrase-based docu- ment classification on a modern scale

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.827231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8534400a-dda5-4bc8-8d14-9bd13e9002ac · outbound

This paper cites Carotene: A job title classification system for the online recruitment domain.

Efficient Text Encoders for Labor Market Analysis Carotene: A job title classification system for the online recruitment domain

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.726323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2843534e-baa3-4c6d-a71b-fd9798173a9d · outbound

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

Efficient Text Encoders for Labor Market Analysis Deepcarotene -job title classification with multi-stream convolutional neural network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.633813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9d384fb3-3b21-4a39-8a85-8b6f14f77d4a · outbound

This paper cites Learning Job Titles Similarity from Noisy Skill Labels.

Efficient Text Encoders for Labor Market Analysis Learning Job Titles Similarity from Noisy Skill Labels

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.524123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98593a52-6415-4a9b-9420-ed1eda1659d3 · outbound

This paper cites Bocharova, Eugene V.

Efficient Text Encoders for Labor Market Analysis Bocharova, Eugene V

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.440953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation deb8a0a6-39ed-459e-baea-5e1a0b07379d · outbound

This paper cites Learning job title rep- resentation from job description aggregation network.

Efficient Text Encoders for Labor Market Analysis Learning job title rep- resentation from job description aggregation network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.339272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99a4ccce-e0b8-450e-99ea-f5d77d7eedad · outbound

This paper cites Scaling deep contrastive learning batch size under memory limited setup.

Efficient Text Encoders for Labor Market Analysis Scaling deep contrastive learning batch size under memory limited setup

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.254656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dbf4004f-7c02-40b0-842a-625d26e3f61a · outbound

This paper cites Deep learning-based computational job market analysis: A survey on skill ex- traction and classification from job postings.

Efficient Text Encoders for Labor Market Analysis Deep learning-based computational job market analysis: A survey on skill ex- traction and classification from job postings

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.143876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0fc8aea4-5c66-4201-962d-ed0e387e44b8 · outbound

This paper cites Retrieving skills from job descriptions: A language model based extreme multi-label classification framework.

Efficient Text Encoders for Labor Market Analysis Retrieving skills from job descriptions: A language model based extreme multi-label classification framework

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:40.012671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6b284f05-cced-4488-bdff-c8546e072cf4 · outbound

This paper cites Apley, and Sanjay Mehrotra.

Efficient Text Encoders for Labor Market Analysis Apley, and Sanjay Mehrotra

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.888646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 41ad48b7-61f8-4b7c-a644-c45e2a3ebf4a · outbound

This paper cites Establishing annotation quality in multi-label annotations.

Efficient Text Encoders for Labor Market Analysis Establishing annotation quality in multi-label annotations

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.767462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffd84d9b-a3b2-4927-afaa-50d3e8ebdd84 · outbound

This paper cites De- identification of privacy-related entities in job postings.

Efficient Text Encoders for Labor Market Analysis De- identification of privacy-related entities in job postings

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.636346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 329863b9-8480-4056-95a7-fdac0cdd79ac · outbound

This paper cites Extreme multi-label legal text clas- sification: A case study in EU legislation.

Efficient Text Encoders for Labor Market Analysis Extreme multi-label legal text clas- sification: A case study in EU legislation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.509857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 02ffb0ad-4139-44a4-9b98-a9adb40d6f51 · outbound

This paper cites Mpnet: masked and permuted pre-training for language understanding.

Efficient Text Encoders for Labor Market Analysis Mpnet: masked and permuted pre-training for language understanding

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.383361Z

Source-reported events for the cited work

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Observation f4b34d2d-70cd-48fb-8d3d-0edaab912963 · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Efficient Text Encoders for Labor Market Analysis A simple framework for contrastive learning of visual representations

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.239913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fa38053f-2db5-439c-bff5-a3cef70897bd · outbound

This paper cites degree with the Internet Technology and Data Science Labo- ratory (IDLab), Ghent University–imec, in collab- oration with TechWolf.

Efficient Text Encoders for Labor Market Analysis degree with the Internet Technology and Data Science Labo- ratory (IDLab), Ghent University–imec, in collab- oration with TechWolf

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:39.148749Z

Source-reported events for the cited work

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Observation ccf5be59-691c-4baa-a165-d1f073dd4372 · outbound

This paper cites an unresolved cited work.

Efficient Text Encoders for Labor Market Analysis Unresolved cited work

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:24:37.547327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation d867af81-fc60-4cff-8c12-f18c11f45b21 · inbound

Multilingual JobBERT for Cross-Lingual Job Title Matching cites this paper.

Multilingual JobBERT for Cross-Lingual Job Title Matching Efficient Text Encoders for Labor Market Analysis

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:36:55.262319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 927f4848-da40-4fd5-b071-d6782672850d · inbound

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker cites this paper.

Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker Efficient Text Encoders for Labor Market Analysis

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:05:31.406740Z

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Observation ce07e30f-735f-4517-a5de-5a25f603db04 · inbound

WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain cites this paper.

WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain Efficient Text Encoders for Labor Market Analysis

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:35:22.512696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.