Paper Citation Record · LEDGER

Generated Knowledge Prompting for Commonsense Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.08387.

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

pith.paper-citation-record.v1
2110.08387 v3

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 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T05:55:07.643865Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T12:05:43.612430Z

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 7eabe71d-d10f-4271-af5c-89dc4ec44879 · inbound

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance cites this paper.

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance Generated Knowledge Prompting for Commonsense Reasoning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:56:45.517500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a28c786c-7880-430a-bb19-97c18d1abd7e · inbound

Irony Detection, Reasoning and Understanding in Zero-shot Learning cites this paper.

Irony Detection, Reasoning and Understanding in Zero-shot Learning Generated Knowledge Prompting for Commonsense Reasoning

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T05:55:07.643865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ecbb57-cc8f-4261-8769-c01d5debeac8 · inbound

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation cites this paper.

INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation Generated Knowledge Prompting for Commonsense Reasoning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T22:41:21.159204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29d5e5b-71d6-414e-9023-a1cc80353618 · inbound

Are MLMs Trapped in the Visual Room? cites this paper.

Are MLMs Trapped in the Visual Room? Generated Knowledge Prompting for Commonsense Reasoning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:54:25.942571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53d3b50e-dbc1-4a73-80ea-ad435a7ecdbf · inbound

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection cites this paper.

Commander-GPT: Dividing and Routing for Multimodal Sarcasm Detection Generated Knowledge Prompting for Commonsense Reasoning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:22:10.899847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd73413d-c3a3-48cf-b9f0-4314da5146bc · inbound

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting cites this paper.

Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting Generated Knowledge Prompting for Commonsense Reasoning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T05:02:24.447997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 297f892f-6bb3-4268-8e92-2e0a94a8d17b · inbound

PARM: Pipeline-Adapted Reward Model cites this paper.

PARM: Pipeline-Adapted Reward Model Generated Knowledge Prompting for Commonsense Reasoning

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:28:39.520010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f62326a-b95d-4059-ba0a-9479aaa7920f · 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 Generated Knowledge Prompting for Commonsense Reasoning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-01T12:05:43.613801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.