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Paper Citation Record · LEDGER

LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2309.09708.

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

pith.paper-citation-record.v1
2309.09708 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:50:04.735165Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5b55d42e-aadd-4f28-962c-47cdeabb7d0e · inbound

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification cites this paper.

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T13:50:04.735165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:50:04.735165Z digest=sha256:0120803e13868065e2a71ba372fa0e9d1c7a3a077e23df7902940438b368dff1

Observation 367a9e90-42c9-437b-b3d9-4f70dc138c8e · inbound

KARRIEREWEGE: A Large Scale Career Path Prediction Dataset cites this paper.

KARRIEREWEGE: A Large Scale Career Path Prediction Dataset LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T12:08:18.570755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:08:18.570755Z digest=sha256:805fc70a0b5905c328bd26989dae161e3583212f3fa57138a80cfab28d42b2ba

Observation eccb36d7-e63a-49e0-a55d-c3f92bb00c91 · inbound

JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes cites this paper.

JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T03:40:53.296245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T03:40:53.296245Z digest=sha256:40b8743427677e9b1f5d1aa3457ba2118ef5720ca513aee41b9ebf9702aa3bd0

Observation c6f22402-0143-4fea-8d40-569b84a29d82 · inbound

JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes cites this paper.

JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T06:53:11.086665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:53:11.086665Z digest=sha256:843588ed4a3f8687acd8de08e3aa327e886930568d641b1a953ff0c24ef58359

Observation 039e6877-2817-4b07-84b6-851978fcb61f · inbound

STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling cites this paper.

STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-14T03:40:12.668947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-14T03:38:31.477924Z digest=sha256:3b9e9226f2222d62416b7c7a94741602c7e1a361db3233be7efd6d2f39305c7c

Observation cd1e581e-d9ad-4c83-aa84-563973fb2cbb · inbound

STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling cites this paper.

STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T06:51:50.799776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:51:50.799776Z digest=sha256:de63358a27468f848e8182a85f43af815173780d50e5c36226ee6131da6a2dc5

Observation f0e4a897-58e1-46b6-a3c1-b166bdf43d90 · inbound

Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn cites this paper.

Unified Semantic Modeling Framework for Large-Scale Job Understanding at LinkedIn LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T10:31:25.782121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:31:25.782121Z digest=sha256:a8338331f93a98cab66e8cea9f0ec2c66b5a7b77a33fff3829560fd34926e40e