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Paper Citation Record · LEDGER

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.20265.

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

pith.paper-citation-record.v1
2607.20265 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:21:34.571829Z

measured 31 of 31 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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  • unresolved31
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  • malformed identifier0
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Outbound references

Observation 1f046a00-f447-47e3-9b80-2f552a4828ef · outbound

This paper cites Comet: Commonsense transformers for automatic knowledge graph con- struction.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Comet: Commonsense transformers for automatic knowledge graph con- struction

Reference 1

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Observation de5ba480-6885-40e4-99c0-33a6b3f058f0 · outbound

This paper cites Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 2

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Observation 54be14ef-d0ca-4c9c-b04c-ed485fcb4022 · outbound

This paper cites ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering

Reference 3

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Observation 7ca305b1-d524-4bf8-93f2-faedac98de16 · outbound

This paper cites Estimating Commonsense Plausibility through Semantic Shifts.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Estimating Commonsense Plausibility through Semantic Shifts

Reference 4

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Observation 710ad39b-9d24-4fed-b3bb-6e2414964567 · outbound

This paper cites an unresolved cited work.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Unresolved cited work

Reference 5

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Observation c1a5b05d-9287-4f05-b0c9-084db3511a1b · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 6

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Observation 6643f1a8-a763-45c1-94cb-06b7d35a24b6 · outbound

This paper cites Making pre-trained language models better few-shot learners.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Making pre-trained language models better few-shot learners

Reference 7

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Observation 2562136e-f324-46a9-bc58-4188a6b43ec5 · outbound

This paper cites Accent: An automatic event commonsense evaluation metric for open-domain dialogue systems.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Accent: An automatic event commonsense evaluation metric for open-domain dialogue systems

Reference 8

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Observation bb5c3af6-25da-4d5b-911d-ee75612a25a3 · outbound

This paper cites Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi

Reference 9

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Observation 8df49e04-c0b1-4f09-b689-593e7126d3a6 · outbound

This paper cites Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, and Yejin Choi

Reference 10

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Observation db0adfb8-dbc5-45b6-879f-db383c1cfa4e · outbound

This paper cites Can you tell me how to improve my prompt? learning to rephrase prompts for language models.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Can you tell me how to improve my prompt? learning to rephrase prompts for language models

Reference 11

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Observation cda01f95-2fea-4f49-98ca-71a26bc70a47 · outbound

This paper cites Maieutic prompting: Logically consistent reasoning with recursive explanations.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Maieutic prompting: Logically consistent reasoning with recursive explanations

Reference 12

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Observation 179cd6b4-991a-4231-b4fe-706591aa46f4 · outbound

This paper cites Smith, Yejin Choi, and Hannaneh Hajishirzi.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Smith, Yejin Choi, and Hannaneh Hajishirzi

Reference 13

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Observation 4a5172ea-0bce-4ec9-8fda-941dbcd88e34 · outbound

This paper cites Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing

Reference 14

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Observation 3d7ca722-7bad-4264-be60-ce022f77f124 · outbound

This paper cites Constrained Text Generation with Global Guidance -- Case Study on CommonGen.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Constrained Text Generation with Global Guidance -- Case Study on CommonGen

Reference 15

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Observation af3744ed-9d5b-40cb-8c85-768b4d0984de · outbound

This paper cites A robustly optimized bert pre-training approach with post-training.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models A robustly optimized bert pre-training approach with post-training

Reference 16

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Observation 31029836-4994-4f6d-8110-4f4e55cd50f5 · outbound

This paper cites Language models as knowledge bases? InProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, pages 2463–2473, 2019.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Language models as knowledge bases? InProceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, pages 2463–2473, 2019

Reference 17

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Observation 6e723fd8-6f9a-4ace-bae4-cd762478759d · outbound

This paper cites Matching tasks to objectives: Fine-tuning and prompt-tuning strategies for encoder-decoder pre-trained language models.Applied In- telligence, 54(20):9783–9810, Oct 2024.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Matching tasks to objectives: Fine-tuning and prompt-tuning strategies for encoder-decoder pre-trained language models.Applied In- telligence, 54(20):9783–9810, Oct 2024

Reference 18

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Observation bf916198-9a70-4c0b-8260-13eba0a49b62 · outbound

This paper cites Language models are unsupervised multitask learners.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Language models are unsupervised multitask learners

Reference 19

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Observation 3ffd41d7-715b-407a-a279-a398713e430b · outbound

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The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Unresolved cited work

Reference 20

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Observation b26012d0-a5de-4d79-977c-8ce250434b8b · outbound

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The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Smith, and Yejin Choi

Reference 21

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The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Auto- prompt: Eliciting knowledge from language models with automatically generated prompts

Reference 22

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Observation 36a7a092-f4a9-4c75-bbd7-0ce3ef61b6f7 · outbound

This paper cites Conceptnet 5.5: An open multilingual graph of general knowledge.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Conceptnet 5.5: An open multilingual graph of general knowledge

Reference 23

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Observation 30764f6a-ae38-434c-9e0c-7d733532ab53 · outbound

This paper cites Entailer: Answering questions with faithful and truthful chains of reasoning.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Entailer: Answering questions with faithful and truthful chains of reasoning

Reference 24

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Observation eafb73b0-1662-4507-8e8d-942791d59370 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models UL2: Unifying Language Learning Paradigms

Reference 25

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Observation 2e1dfc2c-e10c-461e-86a4-dc386da82992 · outbound

This paper cites Harnessing black-box control to boost com- monsense in lms’ generation.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Harnessing black-box control to boost com- monsense in lms’ generation

Reference 26

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Observation 70c301b5-9b7e-4001-bac3-f333150bd8b9 · outbound

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The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models A Simple Method for Commonsense Reasoning

Reference 27

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Observation 17311912-8ea0-47e1-9e0d-e80793a117f2 · outbound

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The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Retrieval augmentation for commonsense reasoning: A unified approach

Reference 28

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Observation 9f77645e-80e9-479b-986b-4123c98dac47 · outbound

This paper cites Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge

Reference 29

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This paper cites Large language models as commonsense knowl- edge for large-scale task planning.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Large language models as commonsense knowl- edge for large-scale task planning

Reference 30

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Observation d60dc88c-c354-427e-91cb-871c0357482e · outbound

This paper cites an unresolved cited work.

The Maskability Index: Predicting Task-Objective Alignment in Pretrained Language Models Unresolved cited work

Reference 5936

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Pith citing papers

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