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Paper Citation Record · LEDGER

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1909.00161.

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

pith.paper-citation-record.v1
1909.00161 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:42.312441Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

36
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ea5e0d52-9f96-4ff1-9334-76c84cebaa0d · inbound

Social Contagion in COVID-19 Discussions within the Belgian Reddit Community: A Statistical and Modeling Study cites this paper.

Social Contagion in COVID-19 Discussions within the Belgian Reddit Community: A Statistical and Modeling Study Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:03:42.312441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:03:42.312441Z digest=sha256:17e0414383b215b9fea878adcbe9aa4299c8c72c8b521331be4f06124eee8858

Observation 7a03c362-ba3a-4215-a965-88b38faebab9 · inbound

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision cites this paper.

Multimodal Information Retrieval for Open World with Edit Distance Weak Supervision Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:04.195389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:04.195389Z digest=sha256:8b300adb0ebff1975f80920692dc5d5b1311f12d7171a513e3ff2cff00750f5b

Observation 142f4e9e-2992-48a9-a811-c7d2a2d30ee8 · inbound

A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text cites this paper.

A Modular Unsupervised Framework for Attribute Recognition from Unstructured Text Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:47.348681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:47.348681Z digest=sha256:70f05d88f1ab105e7ea99679551ee04e690c6fe657984c285c54b0eea4f02a62

Observation f2425219-04bb-4846-86b3-5adbf661cec9 · inbound

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification cites this paper.

Beyond Traditional Algorithms: Leveraging LLMs for Accurate Cross-Border Entity Identification Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:21:32.928521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:21:32.928521Z digest=sha256:d6d146621397a2cec94743b7d4f773b2a04b474cb0b99ad96a8dd8238aff8f69

Observation a070ab8f-9e1b-420d-966d-5b7dc56aebf9 · inbound

Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go? cites this paper.

Sentiment analysis for software engineering: How far can zero-shot learning (ZSL) go? Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:50:25.049371Z

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.

source=pdf_text observed=2026-05-10T12:48:00.736551Z digest=sha256:6613f913fdeeea7912d530182cf24ca533fcd0daa7e430c36ce67ba79d1a755e

Observation 78a9e731-a3a8-4028-a285-fd9ea51433f7 · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:41:02.297376Z

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.

source=arxiv_source observed=2026-05-10T03:18:46.913340Z digest=sha256:a0396305ec7894ea212fa43f6a14268ce05929affaf170948b98e3d413aae21b

Observation df6597e4-9de6-4285-9d95-795efe73c67b · inbound

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T22:34:07.403477Z

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.

source=pdf_text observed=2026-05-09T22:26:34.487400Z digest=sha256:af2f08cba29abbf2ea8b58606bb379a3d0709e1f1e30f50e6ce0138c289951dc

Observation 6b547cbb-8409-4755-ada1-682ec552b848 · inbound

Language-Specific Sentiment Polarity Biases in Encoder and Large Language Model Classification of Product Reviews cites this paper.

Language-Specific Sentiment Polarity Biases in Encoder and Large Language Model Classification of Product Reviews Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-06-26T09:09:15.622551Z

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.

source=pdf_text observed=2026-06-26T09:08:26.118788Z digest=sha256:e64ed0903a4ecabe3884bcdb7dbd3f7c479458d2d25185293c904d9207fb090c