Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:44:51.730013Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T12:05:38.045330Z digest=sha256:92c48108b8a2dffc15cd2f74fbfc1551da3fadea0cfca65ecfb1e0fd48974d25

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T16:57:24.816495Z digest=sha256:87cce74d5f46223f446a1bf4e4165ae3c0840e17aab6f64b8a28354977c54d94

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T01:57:29.380571Z digest=sha256:215ae14d5b3f41ef6876be2219e17c9d049864f83bd212e981170e293057883d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:be090b227bf7cda22ac1731e459bc56723ee9ced3b35c90c8ca4089441fc6009

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:f3ef32bc8e9306b3eeeb7f8f3b2ae536b397076fb1896d50145a8e07b2447627

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=sha256:903e395e9a352711942499d21c31d6e0f5b9669a6a872cd0cc0769b5ee18194b

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:ca86507bae518a4ea5bef0883e6a036795f0cb62b95f13401c3fa7d60b3efb6c

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=sha256:3245e7d7108fef50295ba324b5ce33cbee36553695f73b4c9a1dab06cffecc66

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:e9f5b5b993dc81d63139cd2ddd0fdfe0bef4a7e734de6adcf2d5d2ec99ecc423

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-01T02:32:19.425550Z digest=sha256:428a01748157aa7a6b5d61b9c0330ef93c010418a6024d369456497c5483944a

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=sha256:2c732c33a764f5aeb7f48e2655de3758ad801aee946abb35857dbb12853f2e7e