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Paper Citation Record · LEDGER

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2001.07676.

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

pith.paper-citation-record.v1
2001.07676 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:36:28.798773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:05:43.596761Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e64922ee-e17e-4755-bd1a-67c65e90457b · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:05:38.448147Z

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.

source=pdf_text observed=2026-05-10T12:05:38.045330Z digest=sha256:761ff6fddf4a85ef9413671a2fef9b573f231d762d50437426fe533d7291c5b5

Observation 0521ede7-6ee8-48ab-b92a-c077d05e64de · inbound

Prefix-Tuning: Optimizing Continuous Prompts for Generation cites this paper.

Prefix-Tuning: Optimizing Continuous Prompts for Generation Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:57:25.249928Z

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.

source=arxiv_source observed=2026-05-11T16:57:24.816495Z digest=sha256:fef92326ddaa32742c31fe1cac71930eed22c87f71e2622a878f69cdf242d3d5

Observation a84ec4fd-3f1e-40e4-a07c-70e0ac1a6e85 · inbound

Cross-Task Generalization via Natural Language Crowdsourcing Instructions cites this paper.

Cross-Task Generalization via Natural Language Crowdsourcing Instructions Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:57:29.432660Z

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.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:5dd56dd955c81d940038f5db361bca07ff57c9f3ed93f61e0f6f805a2bd96220

Observation 0d11acb3-b7ce-4860-9f80-e34e28ddcf63 · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:22:17.073429Z

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.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:e6fce3f568e092e275089fe73317614eafb0c01394f820e3f3fe2b8a775bb317

Observation 40badd00-1970-47d0-bb95-e0b4e39d7084 · inbound

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models cites this paper.

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T17:36:28.798773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:36:28.798773Z digest=sha256:42c555f725d254bbbaf155b26f9eaeb9b0a1a262e4ab935902dca42c71b5732b

Observation 1d8c8b2b-2558-4507-adc4-9b79af472801 · inbound

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages cites this paper.

ALPET: Active Few-shot Learning for Citation Worthiness Detection in Low-Resource Wikipedia Languages Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-09T05:17:23.876416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:17:23.876416Z digest=sha256:64d3c90b45d04ec17cf960e85f1071a14b59b6634b4256a6b52c753988777bab

Observation 0dfc32ca-0cd3-4ac8-bed4-9260fb302da5 · inbound

Incongruence Identification in Eyewitness Testimony cites this paper.

Incongruence Identification in Eyewitness Testimony Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T18:35:11.305921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:35:11.305921Z digest=sha256:af0fcd393485fc5e16cf182efce96c07089d40044700b9d9a8e0420fa718eb85

Observation d14e558d-3736-4fc2-955d-f834fdcecece · inbound

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications cites this paper.

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:44:51.730013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:44:51.730013Z digest=sha256:189825a0cc0f5f63287128f66a44ddb4d02cb4635bc0b1adfa3545fcea020c54

Observation dc2d9831-fa31-443e-a1af-9ec4bbdb2dc9 · inbound

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages cites this paper.

Leveraging the Potential of Prompt Engineering for Hate Speech Detection in Low-Resource Languages Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:37.074157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:37.074157Z digest=sha256:de5257fc1ea5fc74d0a00afdacb3f4767fa731f5dd3502b12adec05143a0af0d

Observation 5d161d17-4e8f-496a-84dc-f752e1ec5193 · inbound

Machine Understanding of Scientific Language cites this paper.

Machine Understanding of Scientific Language Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 213

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:41.278161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:41.278161Z digest=sha256:4a5db5077f5b64d335585ba537eb12d673a332aa5ed23327a01913a647a57dea

Observation 1269a875-dcdb-4f9f-89f1-f425a63affff · inbound

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices cites this paper.

EdgeLoRA: An Efficient Multi-Tenant LLM Serving System on Edge Devices Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T20:59:00.992772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:59:00.992772Z digest=sha256:4607c0d45c54b87edd5e6c3aad6a5acff3069863e132904af14b1959e9ec18b7

Observation 55c7ffa2-a916-4d5a-9f42-37c62c029a48 · inbound

Tiny Reward Models cites this paper.

Tiny Reward Models Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:07.183516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:48:07.183516Z digest=sha256:c57277604d3986a493086a68a6becec6ea6d079e72b8fce17a119d680967fc45

Observation b37f5f3f-3fed-457f-8ded-fd444f65dabc · inbound

MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning cites this paper.

MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T12:26:42.511322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:26:42.511322Z digest=sha256:bf1f5e22ff77d5aa99e1a5938a14d5489afba12bbc1d79f050e57f086db87c08

Observation d9bed680-c23b-44a7-98d3-6c80b4a770be · inbound

Cyberbullying Detection via Aggression-Enhanced Prompting cites this paper.

Cyberbullying Detection via Aggression-Enhanced Prompting Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T22:49:18.256809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:49:18.256809Z digest=sha256:8e961ecd26fe855c03a1fe0ed50e4810186dbd4488c313bd0c7f0afe71eba771

Observation 75bda907-ce95-4e0a-a617-990855e22c1e · inbound

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization cites this paper.

A Single Rewrite Suffices: Empirical Lessons from Production Skill Description Optimization Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-01T12:05:43.598245Z

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.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:ad0653447ac0f8db8d0b75c1d9f278cf9972ecf2bb14fc6e3332ea420ef31354

Observation df2f1bc5-beb4-49d4-966d-1167460296d8 · inbound

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning cites this paper.

BnBERT-iPET: Sparse Few-Shot Language Modeling for Bengali via Lottery Ticket Pruning Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T05:20:01.006602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:20:01.006602Z digest=sha256:c7ee120ec4826bfd15c9fc2c6ce68783bc11adcf8c49882de4cf7a7bdb8f143a